US20100137143A1 - Methods and apparatus for measuring analytes - Google Patents

Methods and apparatus for measuring analytes Download PDF

Info

Publication number
US20100137143A1
US20100137143A1 US12/474,897 US47489709A US2010137143A1 US 20100137143 A1 US20100137143 A1 US 20100137143A1 US 47489709 A US47489709 A US 47489709A US 2010137143 A1 US2010137143 A1 US 2010137143A1
Authority
US
United States
Prior art keywords
isfet
array
nucleic acids
nucleic acid
chemfet
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US12/474,897
Inventor
Jonathan M. Rothberg
Wolfgang Hinz
John F. Davidson
Antoine M. Van Oijen
John H. Leamon
Martin Huber
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Life Technologies Corp
Original Assignee
Ion Torrent Systems Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority to US12/474,897 priority Critical patent/US20100137143A1/en
Application filed by Ion Torrent Systems Inc filed Critical Ion Torrent Systems Inc
Assigned to ION TORRENT SYSTEMS INCORPORATED reassignment ION TORRENT SYSTEMS INCORPORATED ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: HUBER, MARTIN, VAN OIJEN, ANTOINE M., DAVIDSON, JOHN F., LEAMON, JOHN H., HINZ, WOLFGANG, ROTHBERG, JONATHAN M.
Assigned to ION TORRENT SYSTEMS INCORPORATED reassignment ION TORRENT SYSTEMS INCORPORATED CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNMENT PREVIOUSLY RECORDED ON REEL 022886 FRAME 0197. ASSIGNOR(S) HEREBY CONFIRMS THE SUPPORTING LEGAL DOCUMENTATION'S ERROR IN THE TITLE. "METHOD" SHOULD READ --METHODS--. Assignors: HUBER, MARTIN, VAN OIJEN, ANTOINE M, DAVIDSON, JOHN F, LEMON, JOHN H, HINZ, WOLFGANG, ROTHBERG, JONATHAN M
Assigned to ION TORRENT SYSTEMS INCORPORATED reassignment ION TORRENT SYSTEMS INCORPORATED CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNMENT PREVIOUSLY RECORDED ON REEL 023005 FRAME 0563. ASSIGNOR(S) HEREBY CONFIRMS THE THE FIFTH ASSIGNOR NAME SHOULD BE CORRECTED TO READ "LEAMON". Assignors: HUBER, MARTIN, VAN OIJEN, ANTOINE M, DAVIDSON, JOHN F, LEAMON, JOHN H, HINZ, WOLFGANG, ROTHBERG, JONATHAN M
Priority to CN2009801514071A priority patent/CN102301228A/en
Priority to CN201410060447.8A priority patent/CN103884760A/en
Priority to EP09822323.3A priority patent/EP2342552B1/en
Priority to PCT/US2009/005745 priority patent/WO2010047804A1/en
Priority to CN201410059756.3A priority patent/CN103901090B/en
Priority to US13/125,133 priority patent/US8936763B2/en
Priority to JP2011533178A priority patent/JP2012506557A/en
Priority to US12/785,667 priority patent/US8546128B2/en
Priority to US12/785,716 priority patent/US8673627B2/en
Priority to US12/785,685 priority patent/US8574835B2/en
Priority to CN201410406758.5A priority patent/CN104251875B/en
Priority to EP22188998.3A priority patent/EP4220146A1/en
Priority to JP2012513046A priority patent/JP5458170B2/en
Priority to EP19205891.5A priority patent/EP3663750B1/en
Priority to ES10780930T priority patent/ES2928247T3/en
Priority to EP10780933.7A priority patent/EP2437590A4/en
Priority to CN201510237687.5A priority patent/CN104941701B/en
Priority to PCT/US2010/001547 priority patent/WO2010138186A1/en
Priority to EP17185272.6A priority patent/EP3301104B1/en
Priority to PCT/US2010/001543 priority patent/WO2010138182A2/en
Priority to JP2012513048A priority patent/JP2012528329A/en
Priority to EP10780934.5A priority patent/EP2435461B1/en
Priority to EP10780935.2A priority patent/EP2436075B1/en
Priority to CN201080027723.0A priority patent/CN102802402B/en
Priority to PCT/US2010/001549 priority patent/WO2010138187A1/en
Priority to CN201080029374.6A priority patent/CN102484267B/en
Priority to PCT/US2010/001553 priority patent/WO2010138188A1/en
Priority to EP10780930.3A priority patent/EP2435128B1/en
Publication of US20100137143A1 publication Critical patent/US20100137143A1/en
Assigned to ION TORRENT SYSTEMS, INC. reassignment ION TORRENT SYSTEMS, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MARRAN, DAVID, SCHULTZ, JONATHAN
Assigned to ION TORRENT SYSTEMS, INC. reassignment ION TORRENT SYSTEMS, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: LIGHT, DAVID, HINZ, WOLFGANG, LEAMON, JOHN, ROTHBERG, JONATHAN
Assigned to ION TORRENT SYSTEMS, INC. reassignment ION TORRENT SYSTEMS, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MARRAN, DAVID, NOBILE, JOHN, REARICK, TODD, SCHULTZ, JONATHAN, ROTH, G. THOMAS, ROTHBERG, JONATHAN
Assigned to Life Technologies Corporation reassignment Life Technologies Corporation ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ION TORRENT SYSTEMS INCORPORATED
Priority to US13/026,707 priority patent/US20110195252A1/en
Priority to US13/026,759 priority patent/US20110195253A1/en
Priority to US13/027,459 priority patent/US20110275522A1/en
Priority to US13/027,420 priority patent/US20110281741A1/en
Priority to US13/027,355 priority patent/US20120094871A1/en
Priority to US13/027,336 priority patent/US20110201523A1/en
Priority to US13/027,500 priority patent/US20110281737A1/en
Priority to US13/029,664 priority patent/US20110195459A1/en
Priority to US13/029,566 priority patent/US20110201508A1/en
Priority to US13/029,611 priority patent/US20110201506A1/en
Assigned to Life Technologies Corporation reassignment Life Technologies Corporation ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: JOHNSON, KIM, REARICK, TODD, SCHULTZ, JONATHAN, MARRAN, DAVID, ROTHBERG, JONATHAN, BUSTILLO, JAMES, MILGREW, MARK
Priority to US13/245,649 priority patent/US8846378B2/en
Priority to US13/245,684 priority patent/US9149803B2/en
Priority to US13/612,742 priority patent/US20130217004A1/en
Priority to US13/797,865 priority patent/US9944981B2/en
Priority to US13/797,871 priority patent/US20130210182A1/en
Priority to US14/044,712 priority patent/US9249461B2/en
Priority to JP2013210859A priority patent/JP5760063B2/en
Priority to US14/162,612 priority patent/US11567029B2/en
Priority to US14/291,330 priority patent/US20140261736A1/en
Priority to US14/291,372 priority patent/US9550183B2/en
Priority to JP2014162210A priority patent/JP5932915B2/en
Priority to JP2015222025A priority patent/JP6538526B2/en
Priority to US14/987,552 priority patent/US20160194629A1/en
Priority to JP2016088964A priority patent/JP2016185149A/en
Priority to US15/348,907 priority patent/US10478816B2/en
Priority to US15/846,195 priority patent/US20180179520A1/en
Priority to JP2017251694A priority patent/JP2018081105A/en
Priority to US15/971,857 priority patent/US11137369B2/en
Priority to US16/101,337 priority patent/US11448613B2/en
Priority to US16/121,615 priority patent/US10612017B2/en
Priority to US16/687,672 priority patent/US11040344B2/en
Priority to US16/841,546 priority patent/US20200239877A1/en
Priority to JP2020097451A priority patent/JP7080923B2/en
Priority to US17/304,452 priority patent/US11951474B2/en
Priority to US17/823,696 priority patent/US11874250B2/en
Priority to US18/077,404 priority patent/US20230101252A1/en
Priority to US18/536,131 priority patent/US20240201126A1/en
Priority to US18/629,059 priority patent/US20240342709A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/26Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
    • G01N27/403Cells and electrode assemblies
    • G01N27/414Ion-sensitive or chemical field-effect transistors, i.e. ISFETS or CHEMFETS
    • G01N27/4145Ion-sensitive or chemical field-effect transistors, i.e. ISFETS or CHEMFETS specially adapted for biomolecules, e.g. gate electrode with immobilised receptors
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6869Methods for sequencing
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6869Methods for sequencing
    • C12Q1/6874Methods for sequencing involving nucleic acid arrays, e.g. sequencing by hybridisation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/26Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
    • G01N27/403Cells and electrode assemblies
    • G01N27/414Ion-sensitive or chemical field-effect transistors, i.e. ISFETS or CHEMFETS
    • G01N27/4148Integrated circuits therefor, e.g. fabricated by CMOS processing
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L21/00Processes or apparatus adapted for the manufacture or treatment of semiconductor or solid state devices or of parts thereof
    • H01L21/70Manufacture or treatment of devices consisting of a plurality of solid state components formed in or on a common substrate or of parts thereof; Manufacture of integrated circuit devices or of parts thereof
    • H01L21/77Manufacture or treatment of devices consisting of a plurality of solid state components or integrated circuits formed in, or on, a common substrate
    • H01L21/78Manufacture or treatment of devices consisting of a plurality of solid state components or integrated circuits formed in, or on, a common substrate with subsequent division of the substrate into plural individual devices
    • H01L21/82Manufacture or treatment of devices consisting of a plurality of solid state components or integrated circuits formed in, or on, a common substrate with subsequent division of the substrate into plural individual devices to produce devices, e.g. integrated circuits, each consisting of a plurality of components

Definitions

  • the present disclosure is directed generally to inventive methods and apparatus relating to detection and measurement of one or more analytes including analytes associated with or resulting from a nucleic acid synthesis reaction.
  • ISFET ion-sensitive field effect transistor
  • pHFET pHFET
  • an ISFET is an impedance transformation device that operates in a manner similar to that of a MOSFET (Metal Oxide Semiconductor Field Effect Transistor), and is particularly configured to selectively measure ion activity in a solution (e.g., hydrogen ions in the solution are the “analytes”).
  • MOSFET Metal Oxide Semiconductor Field Effect Transistor
  • a detailed theory of operation of an ISFET is given in “Thirty years of ISFETOLOGY: what happened in the past 30 years and what may happen in the next 30 years,” P. Bergveld, Sens. Actuators, 88 (2003), pp. 1-20, which publication is hereby incorporated herein by reference (hereinafter referred to as “Bergveld”).
  • FIG. 1 illustrates a cross-section of a p-type (p-channel) ISFET 50 fabricated using a conventional CMOS (Complementary Metal Oxide Semiconductor) process.
  • CMOS Complementary Metal Oxide Semiconductor
  • biCMOS i.e., bipolar and CMOS
  • CMOS Complementary Metal Oxide Semiconductor
  • PMOS FET array with bipolar structures on the periphery.
  • other technologies may be employed wherein a sensing element can be made with a three-terminal devices in which a sensed ion leads to the development of a signal that controls one of the three terminals; such technologies may also include, for example, GaAs and carbon nanotube technologies.
  • P-type ISFET fabrication is based on a p-type silicon substrate 52 , in which an n-type well 54 forming a transistor “body” is formed.
  • Highly doped p-type (p+) regions S and D, constituting a source 56 and a drain 58 of the ISFET, are formed within the n-type well 54 .
  • a highly doped n-type (n+) region B is also formed within the n-type well to provide a conductive body (or “bulk”) connection 62 to the n-type well.
  • An oxide layer 65 is disposed above the source, drain and body connection regions, through which openings are made to provide electrical connections (via electrical conductors) to these regions; for example, metal contact 66 serves as a conductor to provide an electrical connection to the drain 58 , and metal contact 68 serves as a conductor to provide a common connection to the source 56 and n-type well 54 , via the highly conductive body connection 62 .
  • a polysilicon gate 64 is formed above the oxide layer at a location above a region 60 of the n-type well 54 , between the source 56 and the drain 58 . Because it is disposed between the polysilicon gate 64 and the transistor body (i.e., the n-type well), the oxide layer 65 often is referred to as the “gate oxide.”
  • an ISFET Like a MOSFET, the operation of an ISFET is based on the modulation of charge concentration (and thus channel conductance) caused by a MOS (Metal-Oxide-Semiconductor) capacitance constituted by the polysilicon gate 64 , the gate oxide 65 and the region 60 of the n-type well 54 between the source and the drain.
  • MOS Metal-Oxide-Semiconductor
  • This p-channel 63 extends between the source and the drain, and electric current is conducted through the p-channel when the gate-source potential V is is negative enough to attract holes from the source into the channel.
  • the gate-source potential at which the channel 63 begins to conduct current is referred to as the transistor's threshold voltage V TH (the transistor conducts when V is has an absolute value greater than the threshold voltage V TH ).
  • the source is so named because it is the source of the charge carriers (holes for a p-channel) that flow through the channel 63 ; similarly, the drain is where the charge carriers leave the channel 63 .
  • This connection prevents forward biasing of the p+ source region and the n-type well, and thereby facilitates confinement of charge carriers to the area of the region 60 in which the channel 63 may be formed.
  • any potential difference between the source 56 and the body/n-type well 54 affects the threshold voltage V TH of the ISFET according to a nonlinear relationship, and is commonly referred to as the “body effect,” which in many applications is undesirable.
  • the polysilicon gate 64 of the ISFET 50 is coupled to multiple metal layers disposed within one or more additional oxide layers 75 disposed above the gate oxide 65 to form a “floating gate” structure 70 .
  • the floating gate structure is so named because it is electrically isolated from other conductors associated with the ISFET; namely, it is sandwiched between the gate oxide 65 and a passivation layer 72 .
  • the passivation layer 72 constitutes an ion-sensitive membrane that gives rise to the ion-sensitivity of the device.
  • analyte solution i.e., a solution containing analytes (including ions) of interest or being tested for the presence of analytes of interest
  • analyte solution alters the electrical characteristics of the ISFET so as to modulate a current flowing through the p-channel 63 between the source 56 and the drain 58 .
  • the passivation layer 72 may comprise any one of a variety of different materials to facilitate sensitivity to particular ions; for example, passivation layers comprising silicon nitride or silicon oxynitride, as well as metal oxides such as silicon, aluminum or tantalum oxides, generally provide sensitivity to hydrogen ion concentration (pH) in the analyte solution 74 , whereas passivation layers comprising polyvinyl chloride containing valinomycin provide sensitivity to potassium ion concentration in the analyte solution 74 .
  • Materials suitable for passivation layers and sensitive to other ions such as sodium, silver, iron, bromine, iodine, calcium, and nitrate, for example, are known.
  • an electric potential difference arises at the solid/liquid interface of the passivation layer 72 and the analyte solution 74 as a function of the ion concentration in the sensitive area 78 due to a chemical reaction (e.g., usually involving the dissociation of oxide surface groups by the ions in the analyte solution 74 in proximity to the sensitive area 78 ).
  • This surface potential in turn affects the threshold voltage V TH of the ISFET; thus, it is the threshold voltage V TH of the ISFET that varies with changes in ion concentration in the analyte solution 74 in proximity to the sensitive area 78 .
  • FIG. 2 illustrates an electric circuit representation of the p-channel ISFET 50 shown in FIG. 1 .
  • a reference electrode 76 (a conventional Ag/AgCl electrode) in the analyte solution 74 determines the electric potential of the bulk of the analyte solution 74 itself and is analogous to the gate terminal of a conventional MOSFET, as shown in FIG. 2 .
  • the drain current I D is given as:
  • I D ⁇ ( V GS ⁇ V TH ⁇ 1 ⁇ 2 V DS ) V DS , (1)
  • V Ds is the voltage between the drain and the source
  • is a transconductance parameter (in units of Amps/Volts 2 ) given by:
  • V s - V Th - ( I D ⁇ ⁇ ⁇ V DS + V DS 2 ) . ( 3 )
  • the threshold voltage V TH of the ISFET is sensitive to ion concentration as discussed above, according to Eq. (3) the source voltage V S provides a signal that is directly related to the ion concentration in the analyte solution 74 in proximity to the sensitive area 78 of the ISFET. More specifically, the threshold voltage V TH is given by:
  • V TH V FB - Q B C ox + 2 ⁇ ⁇ F , ( 4 )
  • V FB is the flatband voltage
  • Q B is the depletion charge in the silicon
  • ⁇ F is the Fermi-potential.
  • the flatband voltage in turn is related to material properties such as workfunctions and charge accumulation.
  • the flatband voltage contains terms that reflect interfaces between 1) the reference electrode 76 (acting as the transistor gate G) and the analyte solution 74 ; and 2) the analyte solution 74 and the passivation layer 72 in the sensitive area 78 (which in turn mimics the interface between the polysilicon gate 64 of the floating gate structure 70 and the gate oxide 65 ).
  • the flatband voltage V FB is thus given by:
  • V FB E ref - ⁇ 0 + ⁇ sol - ⁇ Si q - Q ss + Q ox C ox , ( 5 )
  • E ref is the reference electrode potential relative to vacuum
  • ⁇ 0 is the surface potential that results from chemical reactions at the analyte solution/passivation layer interface (e.g., dissociation of surface groups in the passivation layer)
  • ⁇ sol is the surface dipole potential of the analyte solution 74 .
  • the fourth term in Eq. (5) relates to the silicon workfunction (q is the electron charge), and the last term relates to charge densities at the silicon surface and in the gate oxide. The only term in Eq.
  • the surface of a given material employed for the passivation layer 72 may include chemical groups that may donate protons to or accept protons from the analyte solution 74 , leaving at any given time negatively charged, positively charged, and neutral sites on the surface of the passivation layer 72 at the interface with the analyte solution 74 .
  • a model for this proton donation/acceptance process at the analyte solution/passivation layer interface is referred to in the relevant literature as the “Site-Dissociation Model” or the “Site-Binding Model,” and the concepts underlying such a process may be applied generally to characterize surface activity of passivation layers comprising various materials (e.g., metal oxides, metal nitrides, metal oxynitrides).
  • the surface of any metal oxide contains hydroxyl groups that may donate a proton to or accept a proton from the analyte to leave negatively or positively charged sites, respectively, on the surface.
  • the equilibrium reactions at these sites may be described by:
  • H s + represents a proton in the analyte solution 74 .
  • Eq. (6) describes proton donation by a surface group
  • Eq. (7) describes proton acceptance by a surface group. It should be appreciated that the reactions given in Eqs. (6) and (7) also are present and need to be considered in the analysis of a passivation layer comprising metal nitrides, together with the equilibrium reaction:
  • Eq. (7b) describes another proton acceptance equilibrium reaction.
  • Eqs. (6) and (7) are initially considered to illustrate the relevant concepts.
  • intrinsic dissociation constants K a for the reaction of Eq. (6)
  • K b for the reaction of Eq. (7)
  • B denotes the number of negatively charged surface groups minus the number of positively charged surface groups per unit area, which in turn depends on the total number of proton donor/acceptor sites per unit area N S on the passivation layer surface, multiplied by a factor relating to the intrinsic dissociation constants K a and K b of the respective proton donation and acceptance equilibrium reactions and the surface proton activity (or pH S ).
  • K a and K b the surface proton activity
  • ⁇ int is referred to as the “intrinsic buffering capacity” of the surface. It should be appreciated that since the values of N S , K a and K b are material dependent, the intrinsic buffering capacity ⁇ int of the surface similarly is material dependent.
  • ⁇ dl is the charge density on the analyte solution side of the double layer capacitance.
  • This charge density ⁇ dl in turn is a function of the concentration of all ion species or other analyte species (i.e., not just protons) in the bulk analyte solution 74 ; in particular, the surface charge density can be balanced not only by hydrogen ions but other ion species (e.g., Na + , K + ) in the bulk analyte solution.
  • the Debye theory may be used to describe the double layer capacitance C dl according to:
  • k is the dielectric constant ⁇ / ⁇ e 0 (for relatively lower ionic strengths, the dielectric constant of water may be used), and ⁇ is the Debye screening length (i.e., the distance over which significant charge separation can occur).
  • the Debye length ⁇ is in turn inversely proportional to the square root of the strength of the ionic species in the analyte solution, and in water at room temperature is given by:
  • the ionic strength I of the bulk analyte is a function of the concentration of all ionic species present, and is given by:
  • the parameter ⁇ is a dimensionless sensitivity factor that varies between zero and one and depends on the double layer capacitance C dl and the intrinsic buffering capacity of the surface ⁇ int as discussed above in connection with Eq. (9).
  • pH pzc pH pzc
  • Table 1 below lists various metal oxides and metal nitrides and their corresponding points of zero charge (pH pzc ), pH sensitivities ( ⁇ V TH ), and theoretical maximum surface potential at a pH of 9:
  • the threshold voltage V TH of ISFETs (as well as MOSFETs) is affected by any voltage V SB between the source and the body (n-type well 54 ). More specifically, the threshold voltage V TH is a nonlinear function of a nonzero source-to-body voltage V SB .
  • the source 56 and body connection 62 of the ISFET 50 often are coupled to a common potential via the metal contact 68 .
  • This body-source coupling also is shown in the electric circuit representation of the ISFET 50 shown in FIG. 2 .
  • a stepwise change in the concentration of one or more ionic species in the analyte solution in turn essentially instantaneously changes the charge density O ⁇ hd dl on the analyte solution side of the double layer capacitance C dl .
  • the surface charge density ⁇ 0 initially remains constant, and the change in ion concentration effectively results in a sudden change in the double layer capacitance C dl .
  • FIG. 2A illustrates this phenomenon, in which an essentially instantaneous or stepwise increase in ion concentration in the analyte solution, as shown in the top graph, results in a corresponding change in the surface potential ⁇ 0 , as shown in the bottom graph of FIG. 2A .
  • the passivation layer surface groups react to the stimulus (i.e., as the surface charge density adjusts)
  • the system returns to some equilibrium point, as illustrated by the decay of the ISFET response “pulse” 79 shown in the bottom graph of FIG. 2A .
  • the foregoing phenomenon is referred to in the relevant literature (and hereafter in this disclosure) as an “ion-step” response.
  • an amplitude ⁇ 0 of the ion-step response 79 may be characterized by:
  • ⁇ 1 is an equilibrium surface potential at an initial ion concentration in the analyte solution
  • C dl.1 is the double layer capacitance per unit area at the initial ion concentration
  • ⁇ 2 is the surface potential corresponding to the ion-step stimulus
  • C dl.2 is the double layer capacitance per unit area based on the ion-step stimulus.
  • the time decay profile 81 associated with the response 79 is determined at least in part by the kinetics of the equilibrium reactions at the analyte solution/passivation layer interface (e.g., as given by Eqs. (6) and (7) for metal oxides, and also Eq. (7b) for metal nitrides).
  • an exemplary ISFET having a silicon nitride passivation layer is considered.
  • a system of coupled non-linear differential equations based on the equilibrium reactions given by Eqs. (6), (7), and (7a) is formulated to describe the dynamic response of the ISFET to a step (essentially instantaneous) change in pH; more specifically, these equations describe the change in concentration over time of the various surface species involved in the equilibrium reactions, based on the forward and backward rate constants for the involved proton acceptance and proton donation reactions and how changes in analyte pH affect one or more of the reaction rate constants.
  • Exemplary solutions are provided for the concentration of each of the surface ion species as a function of time.
  • the proton donation reaction given by Eq. (6) dominates the transient response of the silicon nitride passivation layer surface for relatively small step changes in pH, thereby facilitating a mono-exponential approximation for the time decay profile 81 of the response 79 according to:
  • the exponential function essentially represents the change in surface charge density as a function of time.
  • the time constant ⁇ is both a function of the bulk pH and material parameters of the passivation layer, according to:
  • ⁇ 0 denotes a theoretical minimum response time that only depends on material parameters.
  • Woias provides exemplary values for ⁇ 0 on the order of 60 microseconds to 200 microseconds.
  • the time constant ⁇ given by Eq. (19) is 1.9 seconds.
  • Exemplary values for other types of passivation materials may be found in the relevant literature and/or determined empirically.
  • ISFET sensor elements or “pixels”
  • Exemplary research in ISFET array fabrication is reported in the publications “A large transistor-based sensor array chip for direct extracellular imaging,” M. J. Milgrew, M. O. Riehle, and D. R. S. Cumming, Sensors and Actuators, B: Chemical, 111-112, (2005), pp. 347-353, and “The development of scalable sensor arrays using standard CMOS technology,” M. J. Milgrew, P. A. Hammond, and D. R. S.
  • FIG. 3 illustrates one column 85 j of a two-dimensional ISFET array according to the design of Milgrew et al.
  • a given column 85 j includes a current source I SOURCEj that is shared by all pixels of the column, and ISFET bias/readout circuitry 82 j (including current sink I SINKj ) that is also shared by all pixels of the column.
  • Each ISFET pixel 80 1 through 80 16 includes a p-channel ISFET 50 having an electrically coupled source and body (as shown in FIGS. 1 and 2 ), plus two switches S 1 and S 2 that are responsive to one of sixteen row select signals (RSEL 1 through RSEL 16 , and their complements). As discussed below in connection with FIG. 7 , a row select signal and its complement are generated simultaneously to “enable” or select a given pixel of the column 85 j , and such signal pairs are generated in some sequence to successively enable different pixels of the column one at a time.
  • the switch S 2 of each pixel 80 in the design of Milgrew et al. is implemented as a conventional n-channel MOSFET that couples the current source I SOURCEj to the source of the ISFET 50 upon receipt of the corresponding row select signal.
  • the switch S 1 of each pixel 80 is implemented as a transmission gate, i.e., a CMOS pair including an n-channel MOSFET and a p-channel MOSFET, that couples the source of the ISFET 50 to the bias/readout circuitry 82 j upon receipt of the corresponding row select signal and its complement.
  • An example of the switch S 1 1 of the pixel 80 1 is shown in FIG.
  • CMOS-pair transmission gate including an n-channel MOSFET and a p-channel MOSFET for switch S 1 , and an n-channel MOSFET for switch S 2 .
  • the bias/readout circuitry 82 j employs a source-drain follower configuration in the form of a Kelvin bridge to maintain a constant drain-source voltage V DSj and isolate the measurement of the source voltage V Sj from the constant drain current I SOURCEj for the ISFET of an enabled pixel in the column 85 j .
  • the bias/readout circuitry 82 j includes two operational amplifiers A 1 and A 2 , a current sink I SINKj , and a resistor R SDj .
  • the wide dynamic range for the source voltage V Sj provided by the transmission gate S 1 ensures that a full range of pH values from 1-14 may be measured, and the source-body connection of each ISFET ensures sufficient linearity of the ISFETs threshold voltage over the full pH measurement range.
  • the transistor body typically is coupled to electrical ground.
  • FIG. 5 is a diagram similar to FIG. 1 , illustrating a wider cross-section of a portion of the p-type silicon substrate 52 corresponding to one pixel 80 of the column 85 j shown in FIG.
  • n-type well 54 containing the drain 58 , source 56 and body connection 62 of the ISFET 50 is shown alongside a first n-channel MOSFET corresponding to the switch S 2 and a second n-channel MOSFET S 1 1N constituting one of the two transistors of the transmission gate S 1 1 shown in FIG. 4 .
  • FIG. 6 is a diagram similar to FIG.
  • FIGS. 5 showing a cross-section of another portion of the p-type silicon substrate 52 corresponding to one pixel 80 , in which the n-type well 54 corresponding to the ISFET 50 is shown alongside a second n-type well 55 in which is formed the p-channel MOSFET S 1 1P constituting one of the two transistors of the transmission gate S 1 1 shown in FIG. 4 .
  • 5 and 6 are not to scale and may not exactly represent the actual layout of a particular pixel in the design of Milgrew et al.; rather these figures are conceptual in nature and are provided primarily to illustrate the requirements of multiple n-wells, and separate n-channel MOSFETs fabricated outside of the n-wells, in the design of Milgrew et al.
  • CMOS design rules dictate minimum separation distances between features.
  • a distance “a” between neighboring n-wells must be at least three (3) micrometers.
  • a distance “a/2” also is indicated in FIG. 6 to the left of the n-well 54 and to the right of the n-well 55 to indicate the minimum distance required to separate the pixel 80 shown in FIG. 6 from neighboring pixels in other columns to the left and right, respectively.
  • a total distance “d” shown in FIG. 6 representing the width of the pixel 80 in cross-section is on the order of approximately 12 ⁇ m to 14 ⁇ m.
  • Milgrew et al. report an array based on the column/pixel design shown in FIG. 3 comprising geometrically square pixels each having a dimension of 12.8 ⁇ m by 12.8 ⁇ m.
  • each pixel of Milgrew's array requires four transistors (p-channel ISFET, p-channel MOSFET, and two n-channel MOSFETs) and two separate n-wells ( FIG. 6 ). Based on a 0.35 micrometer conventional CMOS fabrication process and corresponding design rules, the pixels of such an array have a minimum size appreciably greater than 10 ⁇ m, i.e., on the order of approximately 12 ⁇ m to 14 ⁇ m.
  • FIG. 7 illustrates a complete two-dimensional pixel array 95 according to the design of Milgrew et al., together with accompanying row and column decoder circuitry and measurement readout circuitry.
  • the array 95 includes sixteen columns 85 1 through 85 16 of pixels, each column having sixteen pixels as discussed above in connection with FIG. 3 (i.e., a 16 pixel by 16 pixel array).
  • a row decoder 92 provides sixteen pairs of complementary row select signals, wherein each pair of row select signals simultaneously enables one pixel in each column 85 1 through 85 16 to provide a set of column output signals from the array 95 based on the respective source voltages V S1 through V S16 of the enabled row of ISFETs.
  • the row decoder 92 is implemented as a conventional four-to-sixteen decoder (i.e., a four-bit binary input ROW 1 -ROW 4 to select one of 2 4 outputs).
  • the set of column output signals V S1 through V S16 for an enabled row of the array is applied to switching logic 96 , which includes sixteen transmission gates S 1 through S 16 (one transmission gate for each output signal).
  • each transmission gate of the switching logic 96 is implemented using a p-channel MOSFET and an n-channel MOSFET to ensure a sufficient dynamic range for each of the output signals V S1 through V S16 .
  • the column decoder 94 like the row decoder 92 , is implemented as a conventional four-to-sixteen decoder and is controlled via the four-bit binary input COL 1 -COL 4 to enable one of the transmission gates S 1 through S 16 of the switching logic 96 at any given time, so as to provide a single output signal V S from the switching logic 96 .
  • This output signal V S is applied to a 10-bit analog to digital converter (ADC) 98 to provide a digital representation D 1 -D 10 of the output signal V S corresponding to a given pixel of the array.
  • ADC analog to digital converter
  • ISFETs and arrays of ISFETs similar to those discussed above have been employed as sensing devices in a variety of chemical and biological applications.
  • ISFETs have been employed as pH sensors in the monitoring of various processes involving nucleic acids such as DNA.
  • Some examples of employing ISFETs in various life-science related applications are given in the following publications, each of which is incorporated herein by reference: Massimo Barbaro, Annalisa Bonfiglio, Luigi Raffo, Andrea Alessandrini, Paolo Facci and Imrich Barák, “Fully electronic DNA hybridization detection by a standard CMOS biochip,” Sensors and Actuators B: Chemical , Volume 118, Issues 1-2, 2006, pp.
  • sequencing refers to the determination of a primary structure (or primary sequence) of an unbranched biopolymer, which results in a symbolic linear depiction known as a “sequence” that succinctly summarizes much of the atomic-level structure of the sequenced molecule.
  • Nucleic acid (such as DNA) sequencing particularly refers to the process of determining the nucleotide order of a given nucleic acid fragment. Analysis of entire genomes of viruses, bacteria, fungi, animals and plants is now possible, but such analysis generally is limited due to the cost and time required to sequence such large genomes. Moreover, present conventional sequencing methods are limited in terms of their accuracy, the length of individual templates that can be sequenced, and the rate of sequence determination.
  • aspects of the invention relate in part to the use of large arrays of chemically sensitive FETs (chemFETs) or more specifically ISFETs for monitoring reactions, including for example nucleic acid (e.g., DNA) sequencing reactions, based on monitoring analytes present, generated or used during a reaction.
  • chemFETs chemically sensitive FETs
  • ISFETs ISFETs for monitoring reactions, including for example nucleic acid (e.g., DNA) sequencing reactions, based on monitoring analytes present, generated or used during a reaction.
  • arrays including large arrays of chemFETs may be employed to detect and measure static and/or dynamic amounts or concentrations of a variety of analytes (e.g., hydrogen ions, other ions, non-ionic molecules or compounds, etc.) in a variety of chemical and/or biological processes (e.g., biological or chemical reactions, cell or tissue cultures or monitoring, neural activity, nucleic acid sequencing, etc.) in which valuable information may be obtained based on such analyte measurements.
  • analytes e.g., hydrogen ions, other ions, non-ionic molecules or compounds, etc.
  • chemical and/or biological processes e.g., biological or chemical reactions, cell or tissue cultures or monitoring, neural activity, nucleic acid sequencing, etc.
  • Such chemFET arrays may be employed in methods that detect analytes and/or methods that monitor biological or chemical processes via changes in charge at the chemFET surface. Accordingly, the systems and methods shown herein provide uses for chemFET arrays that involve detection of an
  • Methods are presented for maintaining or increasing signal (and thus signal-to-noise ratio) when using very large chemFET arrays, and in particular when increasing the density of a chemFET array (and concomitantly decreasing the area of any single chemFET within the array). It has been found that as chemFET area decreases in order to accommodate an ever increasing number of sensors on a given array, the signal that can be obtained from a single chemFET may in some instances decrease.
  • the invention provides in some aspects and embodiments methods for overcoming this limitation.
  • some methods of the invention involve increasing the efficiency with which released (or generated) hydrogen ions are detected. It has been determined in the course of our work that released hydrogen ions may be sequestered in a reaction chamber that overlays the chemFET, thereby precluding their detection by the chemFET.
  • This disclosure therefore provides in some aspects methods and compositions for reducing buffering capacity of the solution within which such reactions are carried out or reducing buffering capacity of solid supports that are in contact with such solution. In this way, a greater proportion of the hydrogen ions released during a nucleic acid synthesis reaction (such as one that is part of a sequencing-by-synthesis process) are detected by the chemFET rather than being for example sequestered by buffering components in the reaction solution or chamber.
  • aspects of the invention that monitor and/or measure hydrogen ion release may be performed in an environment with reduced (i.e., no, low or limited) buffering capacity so as to maximally detect released hydrogen ions.
  • the invention provides a method for synthesizing a nucleic acid comprising incorporating nucleotides into a nucleic acid in an environment with no or limited buffering capacity.
  • Examples of an environment with reduced buffering capacity (or activity) include one that lacks a buffer, one that includes a buffer (or buffering) inhibitor, and one in which pH changes on the order of 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6. 0.7, 0.8, 0.9.
  • chemFET and more particularly an ISFET.
  • the method may be performed in a solution or a reaction chamber that is in contact with or capacitively coupled to a chemFET such as an ISFET.
  • the chemFET (or ISFET) and/or reaction chamber may be in array of chemFETs or reaction chambers, respectively.
  • the reactions are typically carried out at a pH (or a pH range) at which the polymerase is active.
  • An exemplary pH range is 6-9.5, although the invention is not so limited.
  • a method for sequencing a nucleic acid comprising contacting and incorporating known nucleotides into a plurality of identical nucleic acids in a reaction chamber in contact with or capacitively coupled to an ISFET, wherein the nucleic acids are covalently bound to a single bead in the reaction chamber, and detecting hydrogen ions released upon nucleotide incorporation in the presence of no or limited buffering activity.
  • the single bead is at least 50%, at least 60%, at least 70%, or at least 80% saturated with nucleic acids.
  • the single bead is at least 90% saturated with nucleic acids.
  • the single bead is at least 95% saturated with nucleic acids.
  • the bead may have a diameter of about 1 micron to about 10 microns, or about 1 micron to about 7 microns, or about 1 micron to about 5 microns, including a diameter of about 1 micron, about 2 microns, about 3 microns, about 4 microns, about 5 microns, about 6 microns, about 7 microns, about 8 microns, about 9 microns, or about 10 microns.
  • the chemFET or ISFET arrays may comprise 256 chemFETs or ISFETs.
  • the chemFET or ISFET array may have a center-to-center spacing (between adjacent chemFETs or ISFETs) of 1-10 microns.
  • the center-to-center spacing is about 9 microns, about 8 microns, about 7 microns, about 6 microns, about 5 microns, about 4 microns, about 3 microns, about 2 microns or about 1 micron.
  • the center-to-center spacing is about 5.1 microns or about 2.8 microns.
  • the chemFET or ISFET comprises a passivation layer that is or is not bound to a nucleic acid.
  • the reaction chamber may comprise a solution having no buffer or low buffer concentration.
  • the methods described herein may be performed in a weak buffer.
  • the reaction chamber may comprise a solution having a buffering inhibitor.
  • the reaction chamber may or may not comprise packing beads.
  • the reaction chamber is in contact with a single ISFET.
  • the reaction chamber has a volume of equal to or less than about 1 picoliter (pL).
  • the nucleic acids are sequencing primers.
  • the nucleic acids may be hybridized to template nucleic acids or to concatemers of identical template nucleic acids.
  • the nucleic acids are self-priming template nucleic acids.
  • the nucleic acids are nicked double-stranded nucleic acids.
  • the nucleotides may be unblocked. In some embodiments, the nucleotides are not extrinsically labeled. In some embodiments, nucleic acids are synthesized or nucleotides are incorporated using a polymerase that is free in solution. In some embodiments, nucleic acids are synthesized or nucleotides are incorporated using a polymerase that is immobilized. In related embodiments, the polymerase is immobilized to the bead, or to a separate bead. The polymerase may be provided in a mixture of polymerases, including a mixture of 2, 3 or more polymerases.
  • a method for synthesizing a nucleic acid comprising incorporating nucleotides into a nucleic acid in the presence of a buffering inhibitor.
  • the method further comprises detecting incorporation of nucleotides by detecting hydrogen ion release.
  • a method for determining incorporation of a nucleotide triphosphate into a newly synthesized nucleic acid comprising combining a known nucleotide triphosphate, a template/primer hybrid, a buffering inhibitor and a polymerase, in a solution in contact with or capacitively coupled to a chemFET, and detecting a signal at the chemFET, wherein detection of the signal indicates incorporation of the known nucleotide triphosphate into the newly synthesized nucleic acid.
  • the signal indicates release of hydrogen ions as a result of nucleotide incorporation.
  • the nucleic acid is a plurality of identical nucleic acids
  • the nucleotide triphosphates are a plurality of nucleotide triphosphates
  • the hybrids are a plurality of hybrids.
  • the buffering inhibitor may be a plurality of random sequence oligoribonucleotides such as but not limited to RNA hexamers, or it may be a sulfonic acid surfactant such as but not limited to poly(ethylene glycol) 4-nonylphenyl 3-sulfopropyl ether (PNSE) or a salt thereof, or it may be poly(styrenesulfonic acid), poly(diallydimethylammonium), or tetramethyl ammonium, or a salt thereof.
  • PNSE poly(ethylene glycol) 4-nonylphenyl 3-sulfopropyl ether
  • the buffering inhibitor may also be a phospholipid.
  • the phospholipids may be naturally occurring or non-naturally occurring phospholipids.
  • Examples of phospholipids to be used as buffering inhibitors include but are not limited to phosphatidylcholine, phosphatidylethanolamine, phosphatidylglycerol, and phosphatidylserine.
  • phospholipids may be coated on the chemFET surface (or reaction chamber surface). Such coating may be covalent or non-covalent.
  • the phospholipids exist in solution.
  • Still other methods relate to variations on sequencing-by-synthesis methods that increase the number of released hydrogen ions, again resulting in an increased signal (and signal to noise ratio).
  • the number of hydrogen ions released per nucleotide incorporation are increased at least two-fold by combining a nucleotide incorporation event with a nucleotide excision event.
  • An example of such a process is a nick translation reaction in which a nucleotide is incorporated at a first position and another nucleotide is excised from a second, usually adjacent, position along a double stranded region of a nucleic acid.
  • the incorporation and excision each release one hydrogen ion, and thus the coupling of the two events amplifies the number of hydrogen ions per incorporation, thereby increasing signal.
  • a method comprising performing a nick translation reaction along the length of a nicked, double stranded nucleic acid, and detecting hydrogen ions released as a result of the nick translation reaction.
  • a method comprising incorporating a first nucleotide at a first position on a nucleic acid and excising a second nucleotide at a second position on the nucleic acid, and detecting hydrogen ions released as a result of nucleotide incorporation and excision.
  • the there is provided a method comprising incorporating a first known nucleotide at a first position on a nucleic acid and excising a second nucleotide at a second adjacent position on the nucleic acid, and detecting hydrogen ions released as a result of nucleotide incorporation and excision.
  • a method comprising sequentially excising a nucleotide and incorporating another nucleotide at separate positions along the length of a nicked, double stranded nucleic acid, and detecting hydrogen ions released from a combined nucleotide excision and nucleotide incorporation, wherein released hydrogen ions are indicative of nucleotide incorporation and nucleotide excision.
  • a method comprising sequentially contacting a nicked, double stranded nucleic acid with each of four nucleotides in the presence of a polymerase, and detecting hydrogen ions released following contact with each of the four nucleotides, wherein released hydrogen ions are indicative of nucleotide incorporation.
  • a method comprising detecting excision of a first nucleotide and incorporation of a second known nucleotide in a nicked, double stranded nucleic acid, in a solution in contact with or capacitively coupled to a ISFET.
  • the nicked, double stranded nucleic acid is a plurality of nicked, double stranded nucleic acids.
  • a method comprising detecting excision of a nucleotide and incorporation of another nucleotide in a plurality of nicked double stranded nucleic acid present in a reaction chamber in contact with or capacitively coupled to an ISFET.
  • the reaction well is in a reaction chamber array and the ISFET is in a ISFET array.
  • the ISFET array comprises 256 ISFET.
  • a method for improving signal from a sequencing-by-synthesis reaction comprising performing a sequencing-by-synthesis reaction using a nick, double stranded template nucleic acid, wherein at least one nucleotide incorporation event is coupled to a nucleotide excision event, and wherein nucleotide incorporation events are detected by generation of a sequencing reaction byproduct.
  • the sequencing reaction byproduct is hydrogen ions.
  • the hydrogen ions are detected by an ISFET, which optionally may be present in an ISFET array.
  • the methods described herein may be performed in order to monitor reactions such as nick translation reactions, nucleotide incorporations events and/or nucleotide excision events. They may also be performed in order to analyze a nucleic acid such as a template nucleic acid (which may be provided as a nicked, double stranded nucleic acid). Such analysis may include sequencing the template nucleic acid.
  • released hydrogen ions are detected using an ISFET and/or an ISFET array.
  • the ISFET array may comprise 256 ISFETs (i.e., it may contain 256 or more ISFETs).
  • the ISFET array is overlayed with a reaction chamber array.
  • the number of template nucleic acids used per sensor, and optionally per reaction chamber is increased. Since the sequencing-by-synthesis reactions contemplated by the invention typically occur simultaneously on a plurality of identical template nucleic acids, increasing the number of templates increases the number of sequencing byproduct (such as hydrogen ions) released per simultaneous nucleotide incorporation, thereby increasing signal that can be detected. Similarly, increasing the number of templates immobilized to an ISFET surface, as contemplated by some aspects of the invention, increases the magnitude of the charge change observed following nucleotide incorporation.
  • increasing the concentration of the nucleic acids to be sequenced also serves to increase signal to noise ratio. Therefore in some instances decreasing the reaction volume (or the reaction chamber volume) does not result in a decreased signal to noise ratio, and can in fact result in an increased signal to noise ratio. In some instances, this may happen even if the total number of nucleic acids being sequenced stays the same or is reduced.
  • the invention provides a method for sequencing nucleic acids comprising generating a plurality of template nucleic acids each comprising multiple, tandemly arranged, identical copies of a target nucleic acid fragment, placing single template nucleic acids in reaction chambers of a reaction chamber array, and simultaneously sequencing multiple template nucleic acids in reaction chambers of the reaction chamber array.
  • two or more template nucleic acids which comprise multiple, tandemly arranged, identical copies of a target nucleic acid (or target nucleic acid fragment) are placed in each reaction chamber.
  • the target nucleic acids (or target nucleic acid fragments) are identical within a given chamber.
  • the number of copies per template may however vary, although preferably may also be similar or identical.
  • sequencing multiple target nucleic acid fragments comprises detecting released hydrogen ions.
  • the template nucleic acids are generated using rolling circle amplification. In some embodiments, the template nucleic acids are attached to reaction chambers. In some embodiments, the reaction chamber array comprises 10 2 , 10 3 , 10 4 , 10 5 , 10 6 or 10 7 reaction chambers. In some embodiments, individual reaction chambers in the reaction chamber array are in contact with or capacitively coupled to an chemFET. In some embodiments, the chemFET is in a chemFET array, and the chemFET array may optionally comprise 10 2 , 10 3 , 10 4 , 10 5 , 10 6 or 10 7 chemFETs. The chemFET and chemFET array may be an ISFET and an ISFET array.
  • a method for sequencing a nucleic acid comprising generating a plurality of template nucleic acids each comprising multiple identical copies of a target nucleic acid (or fragment), placing single template nucleic acids in individual reaction chambers of a reaction chamber array, and sequencing multiple template nucleic acids in reaction chambers of the reaction chamber array, wherein the single template nucleic acid has a cross-sectional area greater than a cross-sectional area of the reaction chamber.
  • single template nucleic acids are attached to single reaction chambers in the reaction chamber array (i.e., only one template nucleic acid is attached per reaction chamber). In one embodiment, single template nucleic acids are directly attached to single reaction chambers in the reaction chamber array. In some embodiments, the nucleic acid is not attached to the reaction chamber.
  • an apparatus comprises an array of chemFET each having a surface, and a plurality of template nucleic acids each comprising multiple identical copies of a target nucleic acid (or fragment), wherein single template nucleic acids are present on the surface of an individual chemFET.
  • target nucleic acids within a template nucleic acid will be identical but that those between template nucleic acids will typically be different from each other.
  • each template in this aspect is clonal.
  • single nucleic acids are attached to the surface of individual chemFET.
  • the single nucleic acids are directly attached to the surface of individual chemFET.
  • single nucleic acids are not attached to the surface of individual chemFET.
  • nucleic acids are present in a reaction chamber but are not attached to the surface of a bead, although they may be attached or in contact with the chemFET surface or a surface of the reaction chamber.
  • the reaction chambers comprise the nucleic acids to be sequenced even in the absence of beads.
  • the nucleic acid within a reaction chamber may comprise multiple (amplified) copies of the same nucleic acid to be sequenced. Single nucleic acids of this type are deposited within single reaction chambers. These nucleic acids need not be attached to the chemFET or reaction chamber surface.
  • a plurality of amplified and physically separate nucleic acids may be present at or near a chemFET surface, and optionally within a reaction chamber.
  • the nucleic acids may be amplified while in contact with or near the chemFET surface, and optionally within the reaction chamber, or that they may be amplified apart from either the chemFET and/or reaction chamber array and then deposited onto a chemFET surface and/or into a reaction chamber.
  • the invention provides a bead having a diameter less than 10 microns and having 1-5 ⁇ 10 6 nucleic acids bound to its surface.
  • the bead has a diameter of about 1 micron, about 3 microns, about 5 microns, or about 7 microns.
  • the bead has a diameter of about 0.5 microns or about 0.1 microns. It will be understood that although such beads are characterized in some instances according to their diameter, they need not be completely spherical in shape. In such instances, the diameter may refer to the diameter averaged over a number of dimensions through the bead.
  • the bead comprises 1 ⁇ 10 6 nucleic acids, 2 ⁇ 10 6 nucleic acids, 3 ⁇ 10 6 nucleic acids, or 4 ⁇ 10 6 nucleic acids bound to its surface.
  • the nucleic acids are 5-50 nucleotides in length, 10-50 nucleotides in length, or 20-50 nucleotides in length.
  • the nucleic acids are 50-1000 nucleotides in length or 1000-10000 nucleotides in length.
  • the nucleic acids attached to and/or present in a bead are typically identical.
  • the nucleic acids are synthetic nucleic acids (e.g., they have been synthesized using a nucleic acid synthesizer). In some embodiments, the nucleic acids are amplification products.
  • the nucleic acids are covalently bound to the surface of the bead.
  • the nucleic acids are bound to the surface of the bead with one or more non-nucleic acid polymers.
  • the non-nucleic acid polymers are polyethylene glycol (PEG) polymers.
  • the PEG polymers may be of varying lengths.
  • one, some or all of the non-nucleic acid polymers comprises a plurality of functional groups for nucleic acid binding.
  • the non-nucleic acid polymers are dextran polymers and/or chitosan polymers.
  • the non-nucleic acid polymers include PEG polymers and dextran polymers.
  • the non-nucleic acid polymers include PEG polymers and chitosan polymers.
  • the non-nucleic acid polymers may be linear or branched.
  • the nucleic acids are bound to a dendrimer that is bound to a bead. In some embodiments, the nucleic acids are bound to a dendrimer that is bound to a PEG polymer.
  • the nucleic acids are bound to the bead with self-assembling acrylamide monomers.
  • the methods used to increase the number of nucleic acids per bead provide no or minimal buffering to the environment.
  • the bead is non-paramagnetic. In some embodiments, the bead has a density between 1-3 g/cm 3 . In some embodiments, the bead has a density of about 2 g/cm 3 . In some embodiments, the bead is a silica bead. In some embodiments, the bead is a silica bead with an epoxide coat.
  • a method comprising simultaneously incorporating known nucleotides into a plurality of the nucleic acids immobilized to and/or in a bead including but not limited to any of the foregoing beads.
  • Immobilized as used herein includes but is not limited to covalent or non-covalent attachment to a bead surface or interior and/or simply physical retention within a porous bead, as described in more detail herein.
  • a plurality of these nucleic acids may be without limitation 2-10 2 , 2-10 3 , 2-10 4 , 2-10 5 , 2-10 6 , 2-2 ⁇ 10 6 , 2-3 ⁇ 10 6 , 2-4 ⁇ 10 6 or 2-5 ⁇ 10 6 nucleic acids.
  • the nucleotides are incorporated into at least 10 6 nucleic acids, at least 2 ⁇ 10 6 nucleic acids, at least 3 ⁇ 10 6 nucleic acids, or at least 4 ⁇ 10 6 nucleic acids. It will be understood that the maximum number of nucleic acids into which nucleotides may be incorporated is the maximum number of nucleic acids immobilized to and/or in the bead.
  • the method further comprises detecting nucleotide incorporation. In some embodiments, nucleotide incorporation is detected non-enzymatically. In some embodiments, nucleotide incorporation is detected by detecting released hydrogen ions.
  • the bead is in a reaction chamber, and optionally the only bead in the reaction chamber.
  • the reaction chamber is in contact with or capacitively coupled to an ISFET.
  • the ISFET is in an ISFET array.
  • the ISFET array comprises 10, 10 2 , 10 3 , 10 4 , 10 5 or 10 6 ISFET.
  • the bead has a diameter of less than 6 microns, less than 3 microns, or about 1 micron.
  • the bead may have a diameter of about 1 micron up to about 7 microns, or about 1 micron up to about 3 microns.
  • the nucleic acids are self-priming template nucleic acids.
  • the invention contemplates sequencing of nucleic acids that are localized near a sensor such as an ISFET sensor (referred to herein as an ISFET), and optionally in a reaction chamber.
  • the nucleic acids may be localized in a variety of ways including attachment to a solid support such as a bead surface, a bead interior or some combination of bead surface and interior, as discussed above.
  • a solid support such as a bead surface, a bead interior or some combination of bead surface and interior, as discussed above.
  • the bead is present in a reaction chamber, although the methods may also be carried out in the absence of reaction chambers.
  • the solid support may also be the sensor surface or a wall of a reaction chamber that is capacitively coupled to the sensor.
  • the localized nucleic acids are typically a plurality of identical nucleic acids.
  • the invention therefore further contemplates amplification of nucleic acids while in contact with the chemFET (e.g., ISFET) array (e.g., in the reaction chamber) followed by sequencing, with or without beads.
  • the invention alternatively contemplates introducing a previously amplified population of nucleic acids to individual sensors of a chemFET array, and optionally into individual reaction chambers, with or without beads.
  • Nucleic acids present in “porous” beads may be amplified and sequenced while individual beads are in contact with individual chemFET sensors, optionally in individual reaction chambers.
  • Bridge amplification is one exemplary method for attaching identical nucleic acids onto a solid support such as a bead surface, a chemFET surface, or a reaction chamber interior surface (e.g., a wall).
  • the nucleic acid-bearing beads used in various aspects and embodiments of the invention include beads having nucleic acids attached to their surface, beads having nucleic acids in their internal core, or beads having nucleic acids attached to their surface and in their internal core.
  • Beads having nucleic acids in their internal core preferably have a porous surface that allows amplification and/or sequencing reagents to move into and out of the bead but that retains the nucleic acids within the bead. Such beads therefore prevent the nucleic acids of interest from diffusing a significant distance away from the sensor, including for example diffusing out of a reaction chamber.
  • the nucleic acids present in such beads may or may not be physically attached to the beads but they are nevertheless immobilized in the bead.
  • a disclosed method comprises detecting hydrogen ions as nucleotides are individually contacted with and incorporated into a plurality of identical nucleic acids in a reaction chamber in contact with or capacitively coupled to an ISFET, wherein the nucleic acids are present in a porous microparticle.
  • the invention provides a method comprising detecting hydrogen ions as unblocked deoxyribonucleotides are individually contacted with and incorporated into a nucleic acid, in a reaction chamber in contact with or capacitively coupled to an ISFET, wherein the nucleic acids are present in a porous microparticle.
  • the porous microparticle is hollow (i.e., it has a hollow core), while in other embodiments it has a porous core.
  • Still another aspect of the disclosure provides a method for sequencing nucleic acids comprising generating a porous microparticle comprising a single template nucleic acid (i.e., only a single template nucleic acid in the porous microparticle, initially) and polymerases, amplifying the single template nucleic acid in the porous microparticle, and sequencing amplified template nucleic acids in the porous microparticle.
  • the amplified nucleic acids are sequenced in a reaction chamber comprising a single microparticle (i.e., only a single microparticle in the reaction chamber).
  • the reaction chamber may be present in a reaction chamber array, and optionally the reaction chamber and/or the reaction chamber array may be in contact with or capacitively coupled respectively to a single ISFET or an ISFET array.
  • the reaction chambers in the reaction chamber array and/or the ISFETs in the ISFET array have a center-to-center distance (between adjacent reaction chambers or ISFETs) ranging from about 1 micron to about 10 microns.
  • the method further comprises generating the single template nucleic acids by fragmenting a larger nucleic acid (such as a target nucleic acid).
  • the amplified nucleic acids are sequenced with unlabeled nucleotide triphosphates and/or unblocked nucleotide triphosphates.
  • a disclosed method comprises providing in a reaction chamber a single porous microparticle internally comprising a plurality of identical template nucleic acids, and sequencing the plurality of identical template nucleic acids simultaneously.
  • “internally comprising” means that one, some or all of the nucleic acids are partially or completely present in the core of the porous microparticle.
  • the plurality of identical template nucleic acids may be sequenced using a sequencing-by-synthesis method, as described herein.
  • the sequencing may comprise non-enzymatic detection of nucleotide incorporation.
  • the reaction chamber may be in contact with or capacitively coupled to an ISFET, and/or it may be present in a reaction chamber array which is in contact with or capacitively coupled to an ISFET array.
  • a method for monitoring incorporation of a nucleotide triphosphate into a nucleic acid comprising contacting a plurality of identical primers, a plurality of identical template nucleic acids present in a porous microparticle, and a plurality of identical, known nucleotide triphosphates, in the presence of a polymerase, wherein the microparticle is present in a reaction chamber in contact with or capacitively coupled to a chemFET, and detecting a signal at the chemFET, wherein detection of the signal indicates incorporation of the known nucleotide triphosphates to the primers.
  • the signal results from release of a sequencing reaction byproduct such as PPi, Pi and/or hydrogen ions.
  • the chemFET is an ISFET. In some embodiments, the chemFET is in (or is provided in or as part of) a chemFET array. In some embodiments, the ISFET is in (or is provided in or as part of) an ISFET array. In some embodiments, the chemFET or ISFET array comprises 10 2 , 10 3 , 10 4 , 10 5 , 10 6 or 10 7 chemFETs or ISFETs respectively.
  • the reaction chamber is in (or is provided in or as part of) a reaction chamber array.
  • the reaction chamber array comprises 10 2 , 10 3 , 10 4 , 10 5 , 10 6 or 10 7 reaction chambers.
  • the method further comprises generating the plurality of identical template nucleic acids by amplifying a single template nucleic acid in the porous microparticle prior to contacting with the plurality of identical primers.
  • the plurality of identical template nucleic acids may be present in a concatemer or they may be physically separate from each other.
  • a method for sequencing nucleic acids comprising generating a plurality of template nucleic acids by fragmenting target nucleic acids, placing single template nucleic acids in porous microparticles together with polymerases, amplifying the single template nucleic acids to generate a plurality of identical template nucleic acids in single porous microparticles, placing single porous microparticles in reaction chambers of a reaction chamber array, and simultaneously sequencing identical template nucleic acids in each of a plurality of porous microparticles.
  • sequencing identical template nucleic acids comprises detecting sequencing byproducts such as PPi, Pi and/or hydrogen ions released following nucleotide incorporation.
  • the reaction chambers have a center-to-center distance of about 1 micron to about 10 microns.
  • the reaction chamber array comprises 10 2 , 10 3 , 10 4 , 10 5 , 10 6 or 10 7 reaction chambers.
  • individual reaction chambers are in contact with or capacitively coupled to individual chemFETs in a chemFET array, including individual ISFETs in an ISFET array.
  • the chemFET or ISFET array may comprise 10 2 , 10 3 , 10 4 , 10 5 , 10 6 , 10 7 , or more chemFETs or ISFETs respectively.
  • Adjacent sensors in these arrays may have a center-to-center distance of about 1 micron to about 10 microns.
  • the invention provides an apparatus comprising an ISFET array and a plurality of porous microparticles each comprising a plurality of identical template nucleic acids, wherein single porous microparticles are in contact with single ISFETS within the array.
  • the plurality of identical template nucleic acids are tandemly arranged in a single nucleic acid.
  • single porous microparticles are present in single reaction chambers of a reaction chamber array that is in contact with or capacitively coupled to the ISFET array.
  • Some aspects of the invention involve detection of charge bound to the chemFET (including an ISFET) surface. Such detection can be used alone or together with detection of soluble analytes (such as hydrogen ions) to detect an event such as for example a nucleotide incorporation event.
  • a sequencing-by-synthesis reaction may occur using a template nucleic acid that is immobilized to a chemFET surface. Nucleotide incorporation into the newly synthesized strand results in an addition of negative charge to the nucleic acid and this change can be sensed by the chemFET. Nucleotide incorporation also results in the release of PPi, and subsequently a hydrogen ion, which can also be sensed by the chemFET.
  • the invention provides a method for sequencing a nucleic acid comprising amplifying a single template nucleic acid in a reaction chamber in contact with or capacitively coupled to an ISFET, wherein amplified template nucleic acids are attached to the reaction chamber, and sequencing amplified template nucleic acids in the reaction chamber.
  • the amplified template nucleic acids are attached to the surface of the ISFET. In some embodiments, the single template nucleic acid is attached to a surface of the ISFET prior to amplification. In some embodiments, the single template nucleic acid is amplified in solution and the amplified template nucleic acids are hybridized to primers immobilized on a surface of the ISFET.
  • amplifying comprises amplifying by rolling circle amplification, and the amplified template nucleic acids are concatemers of the template nucleic acid.
  • sequencing comprises detecting incorporation of a known nucleotide by an increase in negative charge of the amplified template nucleic acids.
  • the amplified template nucleic acids are self-priming.
  • a method comprising contacting a known nucleotide to a complex comprising a template nucleic acid and a sequencing primer, wherein the complex is immobilized on a surface of an ISFET, and detecting incorporation of the known nucleotide to the complex by detecting an increase in negative charge of the complex, wherein the ISFET is in an array, and optionally wherein the array comprises 256 ISFETs.
  • the template nucleic acid is present in (or provided as) a concatemer of template nucleic acids. In some embodiments, the concatemer comprises 100-1000 copies of the template nucleic acid. In some embodiments, the template nucleic acid is covalently bound to the surface of the ISFET. In some embodiments, the sequencing primer is covalently bound to the surface of the ISFET.
  • the ISFET is overlayed with a reaction chamber, and optionally the reaction chamber is in an array.
  • the reaction chamber contains a buffered solution.
  • the complex is a plurality of complexes. In some embodiments, the complexes are identical. In some embodiments, the plurality of complexes is equal to or less than 10 6 complexes, equal to or less than 10 5 complexes, equal to or less than 10 4 complexes, or equal to or less than 10 3 complexes.
  • a method comprises contacting a known nucleotide to a self-priming template nucleic acid that is immobilized on a surface of an ISFET, and detecting incorporation of the known nucleotide to the self-priming template nucleic acid by detecting an increase in negative charge of the nucleic acid.
  • the ISFET is in an ISFET array.
  • the ISFET array may comprise 10 2 , 10 3 , 10 4 , 10 5 , 10 6 or 10 7 ISFETs.
  • the template nucleic acid is in a reaction chamber in contact with or capacitively coupled to the ISFET.
  • the reaction chamber is in a reaction chamber array.
  • the reaction chamber array comprises 10 2 , 10 3 , 10 4 , 10 5 , 10 6 or 10 7 reaction chambers.
  • the nucleic acid is in a buffer.
  • signal at the ISFET results solely from a change in charge of the nucleic acid rather than from released hydrogen ions.
  • chemFETs and more particularly ISFETs may be used to detect analytes and/or charge.
  • An ISFET as discussed above, is a particular type of chemFET that is configured for ion detection such as hydrogen ion (or proton) detection.
  • Other types of chemFETs contemplated by the present disclosure include enzyme FETs (EnFETs) which employ enzymes to detect analytes.
  • chemical sensitivity broadly encompasses sensitivity to any molecule of interest, including without limitation organic, inorganic, naturally occurring, non-naturally occurring, chemical and biological compounds, such as ions, small molecules, polymers such as nucleic acids, proteins, peptides, polysaccharides, and the like.
  • Chemical or biological samples are typically liquid (or are dissolved in a liquid) and of small volume, to facilitate high-speed, high-density determination of analyte (e.g., ion or other constituent) presence and/or concentration, or other analyte measurements.
  • analyte e.g., ion or other constituent
  • some embodiments involve a “very large scale” two-dimensional chemFET sensor array (e.g., greater than 256 sensors), in which one or more chemFET-containing elements or “pixels” constituting the sensors of such an array are configured to monitor one or more independent biological or chemical reactions or events occurring in proximity to the pixels of the array.
  • chemFET-containing elements or “pixels” constituting the sensors of such an array are configured to monitor one or more independent biological or chemical reactions or events occurring in proximity to the pixels of the array.
  • the array may be coupled to one or more microfluidics structures that form one or more reaction chambers, or “wells” or “microwells,” (as the terms are used interchangeably herein) over individual sensors or groups of sensors of the array, and an apparatus that delivers analyte samples (i.e., analyte solutions) to the wells and/or removes them from the wells between measurements.
  • the sensor array may be coupled to one or more microfluidics structures for the delivery of one or more samples to the pixels and for removal of sample between measurements.
  • unique reference electrodes and their coupling to the flow cell are also provided by the invention.
  • microfluidic structures which may be employed to flow analytes and, where appropriate, other agents useful in for example the detection and measurement of analytes to and from the reaction chambers or pixels, the methods of manufacture of the array of reaction chambers, methods and structures for coupling the arrayed reaction chambers with arrayed pixels, and methods and apparatus for loading the reaction chambers with sample to be analyzed, including for example loading the wells with nucleic acids for example when the apparatus is used for nucleic acid (e.g., DNA) sequencing or related analysis, and uses thereof, as will be discussed in greater detail herein.
  • nucleic acid e.g., DNA sequencing or related analysis
  • Such a byproduct can be monitored as the readout of a sequencing-by-synthesis method.
  • One particularly important byproduct is hydrogen ions which are released upon addition or incorporation of a deoxynucleotide triphosphate (also referred to herein as a nucleotide or a dNTP) to the 3′ end of a nucleic acid (such as a sequencing primer).
  • Nucleotide incorporation releases inorganic pyrophosphate (PPi) which may be hydrolyzed to orthophosphate (Pi) and free hydrogen ion (H + ) in the presence of water (and optionally and far more rapidly in the presence of pyrophosphatase).
  • nucleotide incorporation can be monitored by detecting PPi, Pi and/or H.
  • PPi has not been detected or measured by chemFETs.
  • optically based sequencing-by-synthesis methods have detected PPi via its sulfurylase-mediated conversion to adenosine triphosphate (ATP), and then luciferase-mediated conversion of luciferin to oxyluciferin in the presence of the previously generated ATP, with concomitant release of light.
  • ATP adenosine triphosphate
  • enzymatic detection e.g., of released PPi or of nucleotide incorporation.
  • the invention provides methods for detecting nucleotide incorporation (optionally in conjunction with nucleotide excision) using non-enzymatic methods.
  • non-enzymatic detection of nucleotide incorporation is detection that does not require an enzyme to detect the incorporation event or byproducts thereof. Non-enzymatic detection however does not exclude the use of enzymes to incorporate nucleotides or, in some instances, to excise nucleotides, thereby generating the event that is being detected.
  • An example of non-enzymatic detection of nucleotide incorporation is a detection method that does not require conversion of PPi to ATP.
  • Non-enzymatic detection methods may employ mixtures of polymerases for nucleotide incorporation, or they may employ enzymes that may enhance a signal (e.g., pyrophosphatase in order to enhance conversion of PPi to Pi), enzymes that reduce misincorporations (e.g., apyrase in order to remove unincorporated nucleotides), and/or enzymes that remove nucleotides in conjunction with incorporation of other nucleotides, among others.
  • enzymes that may enhance a signal e.g., pyrophosphatase in order to enhance conversion of PPi to Pi
  • enzymes that reduce misincorporations e.g., apyrase in order to remove unincorporated nucleotides
  • enzymes that remove nucleotides in conjunction with incorporation of other nucleotides among others.
  • the instant invention contemplates and provides methods for monitoring nucleic acid sequencing reactions and thus determining the nucleotide sequence of nucleic acids by detecting H+ (or changes in pH), PPi (or Pi, or changes in either) in the absence or presence of PPi (or Pi) specific receptors, alone or in some combination thereof.
  • chemFET arrays may be specifically configured to measure hydrogen ions and/or one or more other analytes that provide relevant information relating to the occurrence and/or progress of a particular biological or chemical process of interest.
  • one or more analytes measured by a chemFET array may include any of a variety of biological or chemical substances that provide relevant information regarding a biological or chemical process (e.g., binding events such as hybridization of nucleic acids to each other, antigen-antibody binding, receptor-ligand binding, enzyme-inhibitor binding, enzyme-substrate binding, enzyme-agonist binding, enzyme-antagonist binding, and the like).
  • binding events such as hybridization of nucleic acids to each other, antigen-antibody binding, receptor-ligand binding, enzyme-inhibitor binding, enzyme-substrate binding, enzyme-agonist binding, enzyme-antagonist binding, and the like).
  • the ability to measure absolute or relative as well as static and/or dynamic levels and/or concentrations of one or more analytes provides valuable information in connection with biological and chemical processes.
  • mere determination of the presence or absence of an analyte or analytes of interest may provide valuable information and may be sufficient.
  • a chemFET array may be configured for sensitivity to any one or more of a variety of analytes.
  • one or more chemFETs of an array may be particularly configured for sensitivity to one or more analytes, and in other embodiments different chemFETs of a given array may be configured for sensitivity to different analytes.
  • one or more sensors (pixels) of the array may include a first type of chemFET configured to be sensitive to a first analyte, and one or more other sensors of the array may include a second type of chemFET configured to be sensitive to a second analyte different from the first analyte.
  • the first and second analytes may be related to each other.
  • the first and second analytes may be byproducts of the same biological or chemical reaction/process and therefore they may be detected concurrently to confirm the occurrence of a reaction (or lack thereof).
  • redundancy is preferable in some analyte detection methods.
  • more than two different types of chemFETs may be employed in any given array to detect and/or measure different types of analytes, and optionally to monitor biological or chemical processes such as binding events.
  • a given sensor array may be “homogeneous” and thereby consist of chemFETs of substantially similar or identical type that detect and/or measure the same analyte (e.g., pH or other ion concentration), or a sensor array may be “heterogeneous” and include chemFETs of different types to detect and/or measure different analytes.
  • the sensors in an array may be configured to detect and/or measure a single type (or class) of analyte even though the species of that type (or class) detected and/or measured may be different between sensors.
  • all the sensors in an array may be configured to detect and/or measure nucleic acids, but each sensor detects and/or measures a different nucleic acid.
  • aspects of the invention provide specific improvements to the ISFET array design of Milgrew et al. discussed above in connection with FIGS. 1-7 , as well as other conventional ISFET array designs, so as to significantly reduce pixel size, and thereby increase the number of pixels of a chemFET array for a given semiconductor die size (i.e., increase pixel density).
  • this increase in pixel density is accomplished while at the same time increasing the signal-to-noise ratio of output signals corresponding to monitored biological and chemical processes, and the speed with which such output signals may be read from the array.
  • the chemFET arrays may be fabricated using conventional CMOS (or biCMOS or other suitable) processing technologies, and are particularly configured to facilitate the rapid acquisition of data from the entire array (scanning all of the pixels to obtain corresponding pixel output signals).
  • CMOS complementary metal-oxide-semiconductor
  • biCMOS complementary metal-oxide-semiconductor
  • CMOS fabrication process may in some instances adversely affect performance of the resulting chemFET array.
  • one potential issue relates to trapped charge that may be induced in the gate oxide 65 during etching of metals associated with the floating gate structure 70 , and how such trapped charge may affect chemFET threshold voltage V.
  • Another potential issue relates to the density/porosity of the chemFET passivation layer (e.g., see ISFET passivation layer 72 in FIG. 1 ) resulting from low-temperature material deposition processes commonly employed in aluminum metal-based CMOS fabrication.
  • one embodiment is directed to an apparatus, comprising an array of CMOS-fabricated sensors, each sensor comprising one chemically-sensitive field effect transistor (chemFET) and occupying an area on a surface of the array of 10 ⁇ m 2 or less, 9 ⁇ m 2 or less, 8 ⁇ m 2 or less, 7 ⁇ m 2 or less, 6 ⁇ m 2 or less, 5 ⁇ m 2 or less, 4 ⁇ m 2 or less 3 ⁇ m 2 or less, or 2 ⁇ m 2 or less.
  • chemFET chemically-sensitive field effect transistor
  • Another embodiment is directed to a sensor array, comprising a two-dimensional array of electronic sensors including at least 512 rows and at least 512 columns of the electronic sensors, each sensor comprising one chemically-sensitive field effect transistor (chemFET) configured to provide at least one output signal representing a presence and/or concentration of an analyte proximate to a surface of the two-dimensional array.
  • chemFET chemically-sensitive field effect transistor
  • Another embodiment is directed to an apparatus, comprising an array of CMOS-fabricated sensors, each sensor comprising one chemically-sensitive field effect transistor (chemFET).
  • the array of CMOS-fabricated sensors includes more than 256 sensors, and a collection of chemFET output signals from all chemFETs of the array constitutes a frame of data.
  • the apparatus further comprises control circuitry coupled to the array and configured to generate at least one array output signal to provide multiple frames of data from the array at a frame rate of at least 1 frame per second.
  • the frame rate may be at least 10 frames per second.
  • the frame rate may be at least 20 frames per second.
  • the frame rate may be at least 30, 40, 50, 70 or up to 100 frames per second.
  • Another embodiment is directed to an apparatus, comprising an array of CMOS-fabricated sensors, each sensor comprising a chemically-sensitive field effect transistor (chemFET).
  • the chemFET comprises a floating gate structure, and a source and a drain having a first semiconductor type and fabricated in a region having a second semiconductor type, wherein there is no electrical conductor that electrically connects the region having the second semiconductor type to either the source or the drain.
  • Another embodiment is directed to an apparatus, comprising an array of electronic sensors, each sensor consisting of three field effect transistors (FETs) including one chemically-sensitive field effect transistor (chemFET).
  • Another embodiment is directed to an apparatus, comprising an array of electronic sensors, each sensor comprising three or fewer field effect transistors (FETs), wherein the three or fewer FETs includes one chemically-sensitive field effect transistor (chemFET).
  • Another embodiment is directed to an apparatus, comprising an array of electronic sensors, each sensor comprising a plurality of field effect transistors (FETs) including one chemically-sensitive field effect transistor (chemFET), and a plurality of electrical conductors electrically connected to the plurality of FETs, wherein the plurality of FETs are arranged such that the plurality of electrical conductors includes no more than four conductors traversing an area occupied by each sensor and interconnecting multiple sensors of the array.
  • FETs field effect transistors
  • chemFET chemically-sensitive field effect transistor
  • Another embodiment is directed to an apparatus, comprising an array of CMOS-fabricated sensors, each sensor comprising a plurality of field effect transistors (FETs) including one chemically-sensitive field effect transistor (chemFET), wherein all of the FETs in each sensor are of a same channel type and are implemented in a single semiconductor region of an array substrate.
  • FETs field effect transistors
  • chemFET chemically-sensitive field effect transistor
  • a sensor array comprising a plurality of electronic sensors arranged in a plurality of rows and a plurality of columns.
  • Each sensor comprises one chemically-sensitive field effect transistor (chemFET) configured to provide at least one and in some instances at least two output signals representing a presence and/or a concentration of an analyte proximate to a surface of the array.
  • chemFET chemically-sensitive field effect transistor
  • the array further comprises column circuitry configured to provide a constant drain current and a constant drain-to-source voltage to respective chemFETs in the column, the column circuitry including two operational amplifiers and a diode-connected FET arranged in a Kelvin bridge configuration with the respective chemFETs to provide the constant drain-to-source voltage.
  • Another embodiment is directed to a sensor array, comprising a plurality of electronic sensors arranged in a plurality of rows and a plurality of columns.
  • Each sensor comprises one chemically-sensitive field effect transistor (chemFET) configured to provide at least one output signal and in some instances at least two output signals representing a concentration of ions in a solution proximate to a surface of the array.
  • the array further comprises at least one row select shift register to enable respective rows of the plurality of rows, and at least one column select shift register to acquire chemFET output signals from respective columns of the plurality of columns.
  • Another embodiment is directed to an apparatus, comprising an array of CMOS-fabricated sensors, each sensor comprising a chemically-sensitive field effect transistor (chemFET).
  • the chemFET comprises a floating gate structure, and a source and a drain having a first semiconductor type and fabricated in a region having a second semiconductor type, wherein there is no electrical conductor that electrically connects the region having the second semiconductor type to either the source or the drain.
  • the array includes a two-dimensional array of at least 512 rows and at least 512 columns of the CMOS-fabricated sensors.
  • Each sensor consists of three field effect transistors (FETs) including the chemFET, and each sensor includes a plurality of electrical conductors electrically connected to the three FETs.
  • the three FETs are arranged such that the plurality of electrical conductors includes no more than four conductors traversing an area occupied by each sensor and interconnecting multiple sensors of the array. All of the FETs in each sensor are of a same channel type and implemented in a single semiconductor region of an array substrate.
  • a collection of chemFET output signals from all chemFETs of the array constitutes a frame of data.
  • the apparatus further comprises control circuitry coupled to the array and configured to generate at least one array output signal to provide multiple frames of data from the array at a frame rate of at least 20 frames per second.
  • Another embodiment is directed to a method for processing an array of CMOS-fabricated sensors, each sensor comprising a chemically-sensitive field effect transistor (chemFET).
  • the method comprises: A) dicing a semiconductor wafer including the array to form at least one diced portion including the array; and B) performing a forming gas anneal on the at least one diced portion.
  • chemFET chemically-sensitive field effect transistor
  • Another embodiment is directed to a method for manufacturing an array of chemFETs.
  • the method comprises fabricating an array of chemFETs; depositing on the array a dielectric material; applying a forming gas anneal to the array before a dicing step; dicing the array; and applying a forming gas anneal after the dicing step.
  • the method may further comprise testing the semiconductor wafer between one or more deposition steps.
  • Another embodiment is directed to a method for processing an array of CMOS-fabricated sensors.
  • Each sensor comprises a chemically-sensitive field effect transistor (chemFET) having a chemically-sensitive passivation layer of silicon nitride and/or silicon oxynitride deposited via plasma enhanced chemical vapor deposition (PECVD).
  • the method comprises depositing at least one additional passivation material on the chemically-sensitive passivation layer so as to reduce a porosity and/or increase a density of the passivation layer.
  • chemFET sensors overlayed with an array of reaction chambers wherein the bottom of a reaction chamber is in contact with (or capacitively coupled to) a chemFET sensor.
  • each reaction chamber bottom is in contact with a chemFET sensor, and preferably with a separate chemFET sensor.
  • less than all reaction chamber bottoms are in contact with a chemFET sensor.
  • each sensor in the array is in contact with a reaction chamber. In other embodiments, less than all sensors are in contact with a reaction chamber.
  • the sensor (and/or reaction chamber) array may be comprised of 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 30, 40, 50, 60, 60, 80, 90, 100, 200, 300, 400, 500, 1000, 10 4 , 10 5 , 10 6 , 10 7 , 10 8 , or more chemFET sensors (and/or reaction chambers).
  • an array that comprises, as an example, 256 sensors or reaction chambers will contain 256 or more (i.e., at least 256) sensors or reaction chambers.
  • aspects and embodiments described herein that “comprise” elements and/or steps also fully support and embrace aspects and embodiments that “consist of” or “consist essentially of” such elements and/or steps.
  • Various aspects and embodiments of the invention involve sensors (and/or reaction chambers) within an array that are spaced apart from each other at a center-to-center distance or spacing (or “pitch”, as the terms are used interchangeably herein) that is in the range of 1-50 microns, 1-40 microns, 1-30 microns, 1-20 microns, 1-10 microns, or 5-10 microns, including equal to or less than about 9 microns, or equal to or less than about 5.1 microns, or 1-5 microns including equal to or less than about 2.8 microns.
  • the center-to-center distance between adjacent reaction chambers in a reaction chamber array may be about 1-9 microns, or about 2-9 microns, or about 1 microns, about 2 microns, about 3 microns, about 4 microns, about 5 microns, about 6 microns, about 7 microns, about 8 microns, or about 9 microns.
  • the reaction chamber has a volume of equal to or less than about 1 picoliter (pL), including less than 0.5 pL, less than 0.1 pL, less than 0.05 pL, less than 0.01 pL; less than 0.005 pL.
  • pL picoliter
  • the reaction chambers may have a square cross section, for example, at their base or bottom. Examples include an 8 ⁇ m by 8 ⁇ m cross section, a 4 ⁇ m by 4 ⁇ m cross section, or a 1.5 ⁇ m by 1.5 ⁇ m cross section. Alternatively, they may have a rectangular cross section, for example, at their base or bottom. Examples include an 8 ⁇ m by 12 ⁇ m cross section, a 4 ⁇ m by 6 ⁇ m cross section, or a 1.5 ⁇ m by 2.25 ⁇ m cross section.
  • a reaction chamber comprises a single template nucleic acid or a single bead.
  • reaction chambers have only one template nucleic acid or only one bead, although they may contain other elements.
  • Such “single nucleic acids” however may be later amplified in order to give rise to a plurality of identical nucleic acids.
  • a single template nucleic acid may be a concatemer and thus may contain multiple copies of a starting nucleic acid such as a starting template nucleic acid or a target nucleic acid fragment.
  • a plurality is two or more.
  • a reaction chamber comprises a plurality of identical nucleic acids.
  • the identical nucleic acids are attached (e.g., covalently) to a bead within the well.
  • the identical nucleic acids are attached (e.g., covalently) to a surface in the reaction chamber such as but not limited to the chemFET surface (or typically at the bottom of the reaction chamber).
  • the plurality of nucleic acids can be 2-10, 2-10 2 , 2-10 3 , 2-10 4 , 2-10 5 , 2-10 6 , or more.
  • the plurality of nucleic acids can be 2 through to 2 million, 2 through to 3 million, 2 through to 4 million, 2 through to 5 million, or more.
  • a template nucleic acid may contain a single template or it may contain a plurality of templates (e.g., in the case of a concatemer, whether or not in the context of a DNA “nanoball”).
  • Such concatemers may include 10, 50, 100, 500, 1000, or more copies of the template nucleic acid.
  • concatemers When such concatemers are used, they may exist in a reaction well, or otherwise be in close proximity to the chemFET surface, in the absence or presence of a bead. That is, the concatemers may be present independently of beads, and they may or may not be themselves covalently or non-covalently attached to the chemFET surface. Sequencing of such nucleic acids may be via detection of released hydrogen ions and/or detection of addition of negative charge to the chemFET surface following nucleotide incorporations events.
  • aspects of the invention relate to methods for monitoring nucleic acid synthesis reactions, including but not limited to those integral to sequencing-by-synthesis methods.
  • various aspects of the invention provide methods for monitoring nucleic acid synthesis reactions, methods for determining or monitoring nucleotide incorporation into a nucleic acid, and the like, optionally in the presence of nucleotide excision as may occur for example in a nick translation reaction. These methods are carried out in some important embodiments in a pH sensitive environment (i.e., an environment in which pH and pH changes can be detected).
  • Various methods provided herein rely on sequencing a nucleic acid by contacting a plurality of the nucleic acids sequentially to a known order of different nucleotides (e.g., dATP, dCTP, dGTP, and dTTP), and detecting an electrical output that results if the nucleotide is incorporated.
  • Some methods employ a primed template nucleic acid and incorporate nucleotides into a sequencing primer based on complementarity with the template nucleic acid.
  • some aspects of the invention provide methods for sequencing a nucleic acid comprising sequencing a plurality of identical template nucleic acids in a reaction chamber in contact with a chemFET, in an array which comprises at least 3 (and up to millions) of such assemblies of reaction chambers and chemFETs.
  • Some methods involve sequencing individually amplified fragmented nucleic acids using a chemFET array, optionally overlayed with a reaction chamber array.
  • the chemFET array comprises at least 500 chemFETs, at least 100,000 chemFETs, at least 1 million chemFETs, or more.
  • the plurality of fragmented nucleic acids is individually amplified using a water in oil emulsion amplification method.
  • Some methods involve disposing (e.g., placing or positioning) a plurality of identical template nucleic acids into a reaction chamber (or well) that is in contact with or capacitively coupled to a chemFET, wherein the template nucleic acids are individually hybridized to sequencing primers or are self-priming (thereby forming a template/primer hybrid), synthesizing a new nucleic acid strand (or extending the sequencing primer) by incorporating one or more known nucleotide triphosphates sequentially at the 3′ end of the sequencing primer in the presence of a polymerase, and detecting the incorporation of the one or more known nucleotide triphosphates by a change in voltage and/or current at the chemFET.
  • the chemFET is preferably one sensor in a chemFET array and the reaction chamber is preferably one chamber in a reaction chamber array.
  • the template nucleic acids between reaction chambers may differ but those within a reaction chamber are preferably identical.
  • the invention contemplates performing a plurality of sequencing reactions simultaneously within a reaction chamber and if in the context of an array within the plurality of reaction chambers in the array.
  • the above-noted methods may be carried out on templates that are immobilized (e.g., covalently) to a bead located within the reaction chamber or on templates that are immobilized (e.g., covalently) to a surface inside the reaction chamber including the chemFET surface. Nucleotide incorporation can then be detected by an increase in the release of hydrogen ions into the solution and ultimately in contact with the chemFET surface and/or by an increase in the negative charge at the chemFET surface.
  • the invention equally contemplates the use of double stranded templates that are engineered to have particular sequences at their free ends that can be acted upon by nicking enzymes such as nickases.
  • the polymerase incorporates nucleotide triphosphates at the nicked site.
  • the double stranded template may comprise ribonucleotide (i.e., RNA) bases including for example uracils which are acted upon by different enzymes to create a nick in the template from which sequencing may begin.
  • nucleotide incorporation via detection of a released product or byproduct of the incorporation reaction or by detection of an increased charge at the chemFET surface
  • detection of nucleotide incorporation does not rely on an enzyme, even though the nucleotide incorporation event typically does.
  • the incorporated nucleotide triphosphate is known.
  • the nucleotide triphosphate is a plurality of identical nucleotide triphosphates
  • the template is a plurality of templates
  • the hybrids are a plurality of hybrids
  • the polymerase is a plurality of polymerases.
  • the polymerase may be a plurality of polymerases that are not identical and rather may be comprised of 2, 3, or more types of polymerases. In some instances, a mixture of two polymerases may be used with one having suitable processivity and the other having suitable rate of incorporation. The ratio of the different polymerases can vary.
  • the primer, template or hybrid may be a plurality of primers, templates, or hybrids respectively that may not be identical to each other, provided that any primer, template or hybrid in a single reaction chamber, attached to a single capture bead or to another solid support such as a chemFET surface in the same reaction chamber are identical to each other.
  • the primers are identical between reaction chambers.
  • the incorporation of at least 10, at least 20, at least 30, at least 40, at least 50, at least 60, at least 70, at least 80, at least 90, or at least 100 nucleotide triphosphates is detected. In other embodiments, the incorporation of 100-500 25-750, 500-1000, or 10-1000 nucleotide triphosphates is detected.
  • the reaction chamber comprises a plurality of packing beads. In some embodiments, the reaction chamber lacks packing beads.
  • the reaction chamber comprises a soluble non-nucleic acid polymer.
  • the detecting step occurs in the presence of a soluble non-nucleic acid polymer.
  • the soluble non-nucleic acid polymer is polyethylene glycol, or PEA, or a dextran, or an acrylamide, or a cellulose (e.g., methyl cellulose).
  • the non-nucleic acid polymer such as polyethylene glycol is attached to the single bead.
  • the non-nucleic acid polymer is attached to one or more (or all) sides of a reaction chamber, except in some instances the bottom of the reaction chamber which is the FET surface.
  • the non-nucleic acid polymer is biotinylated such as but not limited to biotinylated polyethylene glycol.
  • the method is carried out at a pH of about 6-9.5, or at about 6-9, or at about 7-9, or at about 8.5 to 9.5, or at about 9.
  • the pH range in some instances is dictated by the polymerase (and/or other enzyme) being used in the method.
  • the synthesizing and/or detecting step is carried out in a weak buffer.
  • the weak buffer comprises Tris-HCl, boric acid or borate buffer, acetate, morpholine, citric acid, carbonic acid, or phosphoric acid as a buffering agent.
  • the synthesizing and/or detecting step is carried out in an aqueous solution that lacks buffer.
  • the synthesizing and/or detecting step is carried out in about 1 mM Tris-HCl. In some embodiments, the synthesizing and/or detecting step is carried out in less than 1 mM Tris-HCl. In some embodiments, the synthesizing and/or detecting step is carried out in about 0.9 mM Tris-HCl, about 0.8 mM Tris-HCl, about 0.7 mM Tris-HCl, about 0.6 mM Tris-HCl, about 0.5 mM Tris-HCl, about 0.4 mM Tris-HCl, about 0.3 mM Tris-HCl, or about 0.2 mM Tris-HCl.
  • the synthesizing and/or detecting step is carried out in about 1 mM borate buffer. In some embodiments, the synthesizing and/or detecting step is carried out in less than 1 mM borate buffer. In some embodiments, the synthesizing and/or detecting step is carried out in about 0.9 mM borate buffer, about 0.8 mM borate buffer, about 0.7 mM borate buffer, about 0.6 mM borate buffer, about 0.5 mM borate buffer, about 0.4 mM borate buffer, about 0.3 mM borate buffer, or about 0.2 mM borate buffer.
  • the nucleotide triphosphates are unblocked.
  • an unblocked nucleotide triphosphate is a nucleotide triphosphate with an unmodified end that can be incorporated into a nucleic acid (at its 3′ end) and once it is incorporated can be attached to the following nucleotide triphosphate being incorporated.
  • Blocked dNTP in contrast either cannot be added to a nucleic acid or their incorporation into a nucleic acid prevents any further nucleotide incorporation and any further extension of that nucleic acid.
  • the nucleotide triphosphates are deoxynucleotide triphosphates (dNTPs).
  • the chemFET comprises a silicon nitride passivation layer.
  • the passivation layer may or may not be bound to a nucleic acid such as a template nucleic acid or a concatemer of template nucleic acids.
  • the nucleotide triphosphates are pre-soaked in Mg 2+ (e.g., in the presence of MgCl 2 ) or Mn 2+ (e.g., in the presence of MnCl 2 ).
  • the polymerase is pre-soaked in Mg 2+ (e.g., in the presence of MgCl 2 ) or Mn 2+ (e.g., in the presence of MnCl 2 ).
  • the method is carried out in a reaction chamber comprising a single capture bead, wherein a ratio of reaction chamber width to single capture bead diameter is at least 0.7, at least 0.8, or at least 0.9.
  • the polymerase is free in solution. In some embodiments, the polymerase is immobilized to a bead. In some embodiments, the polymerase is immobilized to a capture bead. In some embodiments, the template nucleic acids are attached to capture beads. In some embodiments, the template nucleic acids are attached to the chemFET surface or another wall inside the reaction chamber.
  • a number of aspects of the disclosed apparatus relate to improving performance by, for example, improving the signal-to-noise ratio of individual ISFET-based pixels as well as arrays of such pixels.
  • One aspect involves over-coating (i.e., “passivating”) the sidewalls (typically formed of TEOS-oxide or another suitable material, as above-described) and sensor surface at the bottom of the microwells with various metal oxide or like materials, to improve their surface chemistry (i.e., make the sidewalls less reactive) and electrical properties.
  • passivating the sidewalls (typically formed of TEOS-oxide or another suitable material, as above-described) and sensor surface at the bottom of the microwells with various metal oxide or like materials, to improve their surface chemistry (i.e., make the sidewalls less reactive) and electrical properties.
  • Another aspect is forming ISFETs with a very thin dielectric coating on the floating gate electrode.
  • Yet another aspect is forming a combined ISFET and microwell structure wherein the surface area for charge collection at the floating gate is increased by employing a metallization on the microwell sidewalls.
  • Still a further aspect is employing modified array and pixels designs to reduce noise sources, including charge injection into the electrolyte.
  • these designs include the use of active pixels having current sources configured to reduce ISFET terminal voltage fluctuations.
  • Yet another aspect is providing a more reliable way to introduce a stable reference potential into a flow cell having a solution flowing therethrough, such that the reference potential will be substantially insensitive to spatial variations in fluid composition and pH.
  • a further aspect is an improved mechanism for multiplexing fluid flows into the flow cell, whereby switching of fluids is simplified and instead of multiplexing multiple reagents at the location of valves used to control their flow, reagents are multiplexed downstream with a passive micro-fluidic multiplexer circuit that acts as a kind of union. Diffusion-transported effluent is minimized from reagent inputs other than the one currently being used. Laminar flow and/or fluid resistance elements cause diffuse effluent to be discarded to a waste location.
  • FIG. 1 illustrates a cross-section of a p-type (p-channel) ion-sensitive field effect transistor (ISFET) fabricated using a conventional CMOS process.
  • ISFET ion-sensitive field effect transistor
  • FIG. 2 illustrates an electric circuit representation of the p-channel ISFET shown in FIG. 1 .
  • FIG. 2A illustrates an exemplary ISFET transient response to a step-change in ion concentration of an analyte.
  • FIG. 3 illustrates one column of a two-dimensional ISFET array based on the ISFET shown in FIG. 1 .
  • FIG. 4 illustrates a transmission gate including a p-channel MOSFET and an n-channel MOSFET that is employed in each pixel of the array column shown in FIG. 3 .
  • FIG. 5 is a diagram similar to FIG. 1 , illustrating a wider cross-section of a portion of a substrate corresponding to one pixel of the array column shown in FIG. 3 , in which the ISFET is shown alongside two n-channel MOSFETs also included in the pixel.
  • FIG. 6 is a diagram similar to FIG. 5 , illustrating a cross-section of another portion of the substrate corresponding to one pixel of the array column shown in FIG. 3 , in which the ISFET is shown alongside the p-channel MOSFET of the transmission gate shown in FIG. 4 .
  • FIG. 7 illustrates an example of a complete two-dimensional ISFET pixel array based on the column design of FIG. 3 , together with accompanying row and column decoder circuitry and measurement readout circuitry.
  • FIG. 8 generally illustrates a nucleic acid processing system comprising a large scale chemFET array, according to one inventive embodiment of the present disclosure.
  • FIG. 9 illustrates one column of an chemFET array similar to that shown in FIG. 8 , according to one inventive embodiment of the present disclosure.
  • FIG. 9A illustrates a circuit diagram for an exemplary amplifier employed in the array column shown in FIG. 9 .
  • FIG. 9B is a graph of amplifier bias vs. bandwidth, according to one inventive embodiment of the present disclosure.
  • FIG. 10 illustrates a top view of a chip layout design for a pixel of the column of an chemFET array shown in FIG. 9 , according to one inventive embodiment of the present disclosure.
  • FIG. 10-1 illustrates a top view of a chip layout design for a cluster of four neighboring pixels of an chemFET array shown in FIG. 9 , according to another inventive embodiment of the present disclosure.
  • FIG. 11A shows a composite cross-sectional view along the line I-I of the pixel shown in FIG. 10 , including additional elements on the right half of FIG. 10 between the lines II-II and III-III, illustrating a layer-by-layer view of the pixel fabrication according to one inventive embodiment of the present disclosure.
  • FIG. 11A-1 shows a composite cross-sectional view of multiple neighboring pixels, along the line I-I of one of the pixels shown in FIG. 10-1 , including additional elements of the pixel between the lines II-II, illustrating a layer-by-layer view of pixel fabrication according to another inventive embodiment of the present disclosure.
  • FIGS. 11 B( 1 )-( 3 ) provide the chemical structures of ten PPi receptors (compounds 1 through 10).
  • FIG. 11 C( 1 ) is a schematic of a synthesis protocol for compound 7 from FIG. 11 B( 3 ).
  • FIG. 11 C( 2 ) is a schematic of a synthesis protocol for compound 8 from FIG. 11 B( 3 ).
  • FIG. 11 C( 3 ) is a schematic of a synthesis protocol for compound 9 from FIG. 11 B( 3 ).
  • FIGS. 11 D( 1 ) and ( 2 ) are schematics illustrating a variety of chemistries that can be applied to the passivation layer in order to bind molecular recognition compounds (such as but not limited to PPi receptors).
  • FIG. 11E is a schematic of attachment of compound 7 from FIG. 11 B( 3 ) to a metal oxide surface.
  • FIGS. 12A through 12L provide top views of each of the fabrication layers shown in FIG. 11A , according to one inventive embodiment of the present disclosure.
  • FIGS. 12-1A through 12 - 1 L provide top views of each of the fabrication layers shown in FIG. 11A-1 , according to another inventive embodiment of the present disclosure.
  • FIG. 13 illustrates a block diagram of an exemplary CMOS IC chip implementation of an chemFET sensor array similar to that shown in FIG. 8 , based on the column and pixel designs shown in FIGS. 9-12 , according to one inventive embodiment of the present disclosure.
  • FIG. 14 illustrates a row select shift register of the array shown in FIG. 13 , according to one inventive embodiment of the present disclosure.
  • FIG. 15 illustrates one of two column select shift registers of the array shown in FIG. 13 , according to one inventive embodiment of the present disclosure.
  • FIG. 16 illustrates one of two output drivers of the array shown in FIG. 13 , according to one inventive embodiment of the present disclosure.
  • FIG. 17 illustrates a block diagram of the chemFET sensor array of FIG. 13 coupled to an array controller, according to one inventive embodiment of the present disclosure.
  • FIG. 18 illustrates an exemplary timing diagram for various signals provided by the array controller of FIG. 17 , according to one inventive embodiment of the present disclosure.
  • FIG. 18A illustrates another exemplary timing diagram for various signals provided by the array controller of FIG. 17 , according to one inventive embodiment of the present disclosure.
  • FIG. 18B shows a flow chart illustrating an exemplary method for processing and correction of array data acquired at high acquisition rates, according to one inventive embodiment of the present disclosure.
  • FIGS. 18C and 18D illustrate exemplary pixel voltages showing pixel-to-pixel transitions in a given array output signal, according to one embodiment of the present disclosure.
  • FIGS. 19-20 illustrate block diagrams of alternative CMOS IC chip implementations of chemFET sensor arrays, according to other inventive embodiments of the present disclosure.
  • FIG. 20A illustrates a top view of a chip layout design for a pixel of the chemFET array shown in FIG. 20 , according to another inventive embodiment of the present disclosure.
  • FIGS. 21-23 illustrate block diagrams of additional alternative CMOS IC chip implementations of chemFET sensor arrays, according to other inventive embodiments of the present disclosure.
  • FIG. 24 illustrates the pixel design of FIG. 9 implemented with an n-channel chemFET and accompanying n-channel MOSFETs, according to another inventive embodiment of the present disclosure.
  • FIGS. 25-27 illustrate alternative pixel designs and associated column circuitry for chemFET arrays according to other inventive embodiments of the present disclosure.
  • FIGS. 28A and 28B are isometric illustrations of portions of microwell arrays as employed herein, showing round wells and rectangular wells, to assist three-dimensional visualization of the array structures.
  • FIG. 29 is a diagrammatic depiction of a top view of one corner (i.e., the lower left corner) of the layout of a chip showing an array of individual ISFET sensors on a CMOS die.
  • FIG. 30 is an illustration of an example of a layout for a portion of a (typically chromium) mask for a one-sensor-per-well embodiment of the above-described sensor array, corresponding to the portion of the die shown in FIG. 29 .
  • a (typically chromium) mask for a one-sensor-per-well embodiment of the above-described sensor array, corresponding to the portion of the die shown in FIG. 29 .
  • FIG. 31 is a corresponding layout for a mask for a 4-sensors-per-well embodiment.
  • FIG. 32 is an illustration of a second mask used to mask an area which surrounds the array, to build a collar or wall (or basin, using that term in the geological sense) of resist which surrounds the active array of sensors on a substrate, as shown in FIG. 33A .
  • FIG. 33 is an illustration of the resulting basin.
  • FIG. 33A is an illustration of a three-layer PCM process for making the microwell array.
  • FIG. 33B is a diagrammatic cross-section of a microwell with a “bump” feature etched into the bottom.
  • FIG. 33B-1 is an image from a scanning electron microscope showing in cross-section a portion of an array architecture as taught herein, with microwells formed in a layer of silicon dioxide over ISFETs.
  • FIG. 33B-2 is a diagrammatic illustration of a microwell in cross-section, the microwell being produced as taught herein and having sloped sides, and showing how a bead of a correspondingly appropriate diameter larger than that of the well bottom can be spaced from the well bottom by interference with the well sidewalls.
  • FIG. 33B-3 is another diagrammatic illustration of such a microwell with beads of different diameters shown, and indicating optional use of packing beads below the nucleic acid-carrying bead such as a DNA-carrying bead
  • FIGS. 34-37 diagrammatically illustrate a first example of a suitable experiment apparatus incorporating a fluidic interface with the sensor array, with FIG. 35 providing a cross-section through the FIG. 34 apparatus along section line 35 - 35 ′ and FIG. 36 expanding part of FIG. 35 , in perspective, and FIG. 37 further expanding a portion of the structure to make the fluid flow more visible.
  • FIG. 38 is a diagrammatic illustration of a substrate with an etched photoresist layer beginning the formation of an example flow cell of a certain configuration.
  • FIGS. 39-41 are diagrams of masks suitable for producing a first configuration of flow cell consistent with FIG. 38 .
  • FIGS. 42-54 (but not including FIGS. 42A-42L ) and 57 - 58 are pairs of partly isometric, sectional views of example apparatus and enlargements, showing ways of introducing a reference electrode into, and forming, a flow cell and flow chamber, using materials such as plastic and PDMS.
  • FIG. 42A is an illustration of a possible cross-sectional configuration of a non-rectangular flow chamber antechamber (diffuser section) for use to promote laminar flow into a flow cell as used in the arrangements shown herein;
  • FIGS. 42B-42F are diagrammatic illustrations of examples of flow cell structures for unifying fluid flow.
  • FIG. 42 F 1 is a diagrammatic illustration of an example of a ceiling baffle arrangement for a flow cell in which fluid is introduced at one corner of the chip and exits at a diagonal corner, the baffle arrangement facilitating a desired fluid flow across the array.
  • FIGS. 42 F 2 - 42 F 8 comprise a set of illustrations of an exemplary flow cell member that may be manufactured by injection molding and may incorporate baffles to facilitate fluid flow, as well as a metalized surface for serving as a reference electrode, including an illustration of said member mounted to a sensor array package over a sensor array, to form a flow chamber thereover.
  • FIGS. 42G and 42H are diagrammatic illustrations of alternative embodiments of flow cells in which fluid flow is introduced to the middle of the chip assembly.
  • FIGS. 42I and 42J are cross-sectional illustrations of the type of flow cell embodiments shown in FIGS. 42G and 42H , mounted on a chip assembly;
  • FIGS. 42K and 42L are diagrammatic illustrations of flow cells in which the fluid is introduced at a corner of the chip assembly.
  • FIG. 42M is a diagrammatic illustration of fluid flow from one corner of an array on a chip assembly to an opposite corner, in apparatus such as that depicted in FIGS. 42K and 42L .
  • FIGS. 55 and 56 are schematic, cross-sectional views of two-layer glass (or plastic) arrangements for manufacturing fluidic apparatus for mounting onto a chip for use as taught herein.
  • FIGS. 57 and 58 are schematic embodiments of a fluidic assembly.
  • FIGS. 59A-59C are illustrations of the pieces for two examples of two-piece injection molded parts for forming a flow cell.
  • FIG. 60 is a schematic illustration, in cross-section, for introducing a stainless steel capillary tube as an electrode, into a downstream port of a flow cell such as the flow cells of FIGS. 59A-59C , or other flow cells.
  • FIG. 61A is a schematic illustrating the incorporation of a dNTP into a synthesized nucleic acid strand with concomitant release of inorganic pyrophosphate (PPi).
  • FIG. 61B is a schematic illustrating an embodiment of the invention in which the single stranded region of the template is not hybridized to RNA oligomers. Hydrogen ion that is released as a result of nucleotide incorporation is able to interact with and possibly be sequestered by free bases on the single stranded region of the template. Such hydrogen ions are then unable to flow to the ISFET surface and be detected.
  • the free bases in the single stranded regions are proton acceptors at pH below 7.5.
  • FIG. 61C is a schematic illustrating an embodiment of the invention in which the single stranded region of the template is hybridized to RNA oligomers. Hydrogen ion that is released as a result of nucleotide incorporation is not able to interact with the template which is hybridized to the RNA oligomers. These hydrogen ions are therefore able to flow to the ISFET surface and be detected.
  • FIG. 61D is the structure of the potassium salt of PNSE.
  • FIG. 61E is the structure of the sodium salt of poly(styrene sulfonic acid).
  • FIG. 61F is the structure of the chloride salt of poly(diallydimethylammonium).
  • FIG. 61G is the structure of the chloride salt of tetramethyl ammonium.
  • FIG. 61H is a schematic showing the chemistry for covalently conjugating a primer to a bead.
  • FIG. 61I is a table showing the possible reactive groups that can be used in combination at positions B 1 , B 2 , P 1 and P 2 in order to covalently conjugate a primer to a bead.
  • FIGS. 61J and K are data capture images of microwell arrays following bead deposition.
  • the white spots are beads.
  • FIG. 61J is an optical microscope image and
  • FIG. 61K is an image captured using the chemFET sensor underlying the microwell array.
  • FIGS. 62-70 illustrate bead loading into the microfluidic arrays of the invention.
  • FIG. 71 illustrates an exemplary sequencing process.
  • FIGS. 72A-D are graphs showing on-chip detection of nucleotide incorporation using a template of known sequence.
  • FIGS. 73A and B are graphs showing a trace from an ISFET device (A) and a nucleotide readout (B) from a sequencing reaction of a 23-mer synthetic oligonucleotide.
  • FIGS. 74A and B are graphs showing a trace from an ISFET device (A) and a nucleotide readout (B) from a sequencing reaction of a 25-mer PCR product.
  • FIG. 75A is a modeling circuit diagram for use in analyzing the factors influencing ISFET gate gain
  • FIG. 75B is a graph of simulated ISFET gate gain dependence on passivation layer thickness for a first set of parameters set forth in the specification
  • FIG. 75C is a graph of simulated ISFET gate gain dependence on passivation layer thickness for a second set of parameters set forth in the specification.
  • FIG. 75D is a graph of simulated ISFET gate gain dependence on passivation layer thickness for a third set of parameters set forth in the specification.
  • FIG. 75E is a diagrammatic illustration of two microwells formed over ISFETs having extended floating gate electrodes lining the walls of the microwells;
  • FIG. 75F is a partially-circuit, partially diagrammatic illustration of an example embodiment of a four-transistor pixel (sensor) employing an active circuit design;
  • FIG. 75G is a diagram of a second example of a four-transistor active pixel, employing a single-MOSFET current source to avoid (or at least minimize) introducing a disturbance at the sense node;
  • FIG. 75H is a diagram of a group of four pixels, each similar to that of FIG. 75G , sharing certain components to reduce chip area requirements;
  • FIG. 75I is a diagram of an active pixel employing six transistors
  • FIG. 75J is a diagram of a group of four pixels, each similar to that of FIG. 75I , sharing certain components to reduce chip area requirements;
  • FIG. 75K is a diagrammatic illustration of an example of an array of ISFET sensors (pixels) as taught herein, sharing a common analog-to-digital converter (ADC) for producing digital pixel values;
  • ADC analog-to-digital converter
  • FIG. 75L is a diagrammatic illustration of another example of an ISFET array in which one ADC is provided per column (or group of columns) to speed up digital readout;
  • FIGS. 75M and 75N are illustrations showing how the arrays of FIGS. 75K and 75L may be segmented to form sub-arrays, for example to speed operation or to treat differently different portions of the overall array;
  • FIG. 75O is a partially schematic circuit, partially block diagram of a single pixel, illustrating basically how digital output may be generated at the individual pixel level in an array;
  • FIG. 75P is a diagram of a group of four pixels, each similar to that of FIG. 75P , sharing an ADC and memory to provide per-pixel digital output;
  • FIG. 75Q is a diagram of row addressing circuitry and column sense amplifiers providing readout functionality from a pixel array in which the pixels provide digital outputs;
  • FIGS. 75R-75T are schematic circuit diagrams illustrating alternatives for diode-protecting ISFETs as discussed herein;
  • FIG. 76A is a diagrammatic illustration of a cross-section of a first example of a fluid-fluid reference electrode interface in which the reference electrode is introduced downstream in the reagent path from the flow cell;
  • FIGS. 76B and 76C are diagrammatic illustrations of two alternative examples of ways to construct apparatus to achieve the fluid-fluid interface of FIG. 76A ;
  • FIG. 76D is a diagrammatic illustration of a cross-section of a second example of a fluid-fluid reference electrode interface in which the reference electrode is introduced upstream in the reagent path from the flow cell;
  • FIG. 77A is a high-level, partially block, partially circuit diagram showing a basic passive sensor pixel in which the voltage changes on the ISFET source and drain inject noise into the analyte, causing errors in the sensed values;
  • FIG. 77B is a high-level partially block, partially circuit diagram showing a basic passive sensor pixel in which the voltage changes on the ISFET drain are eliminated by tying it to ground, the pixel output is obtained via a column buffer, and CDS is employed on the output of the column buffer to reduce correlated noise;
  • FIG. 77C is a high-level partially block, partially circuit diagram showing a two-transistor passive sensor pixel in which the voltage changes on the ISFET drain and source are substantially eliminated, the pixel output is obtained via a buffer, and CDS is employed on the output of the column buffer to reduce correlated noise;
  • FIG. 78A is an isometric, see-through, diagrammatic illustration of one example of a flow multiplexer for supplying fluids to a flow cell as shown herein;
  • FIG. 78B is a top view of the apparatus of FIG. 78A ;
  • FIG. 78C is a diagrammatic illustration of flow through the multiplexer member of FIGS. 78A and 78B during reagent delivery mode;
  • FIG. 78D is a diagrammatic illustration of flow through the multiplexer member of FIGS. 78A and 78B during ship washing and reagent priming modes
  • FIG. 78E is another diagrammatic illustration of wash solution flow through the multiplexer member
  • FIG. 79 is a diagrammatic illustration of flows in the apparatus of FIGS. 78A-78E ;
  • FIGS. 80A and 80B are, respectively, top and side views of an alternative, “two-dimensional” fluid multiplexer.
  • inventive embodiments according to the present disclosure are directed at least in part to a semiconductor-based/microfluidic hybrid system that combines the power of microelectronics with the biocompatibility of a microfluidic system.
  • the microelectronics portion of the hybrid system is implemented in CMOS technology for purposes of illustration. It should be appreciated, however, that the disclosure is not intended to be limiting in this respect, as other semiconductor-based technologies may be utilized to implement various aspects of the microelectronics portion of the systems discussed herein.
  • One embodiment disclosed herein is directed to a large sensor array (e.g., a two-dimensional array) of chemically-sensitive field effect transistors (chemFETs).
  • the individual chemFET sensor elements or “pixels” of the array are configured to detect analyte presence (or absence), analyte levels (or amounts), and/or analyte concentration in a sample such as an unmanipulated sample, or as a result of chemical and/or biological processes (e.g., chemical reactions, cell cultures, neural activity, nucleic acid sequencing reactions, etc.) occurring in proximity to the array.
  • chemFETs contemplated by various embodiments discussed in greater detail below include, but are not limited to, ion-sensitive field effect transistors (ISFETs) and enzyme-sensitive field effect transistors (EnFETs).
  • ISFETs ion-sensitive field effect transistors
  • EnFETs enzyme-sensitive field effect transistors
  • one or more microfluidic structures is/are fabricated above the chemFET sensor array to provide for containment and/or confinement of a biological or chemical reaction in which an analyte of interest may be captured, produced, or consumed, as the case may be.
  • the microfluidic structure(s) may be configured as one or more wells (or microwells, or reaction chambers, or reaction wells as the terms are used interchangeably herein) disposed above one or more sensors of the array, such that the one or more sensors over which a given well is disposed detect and measure analyte presence, level, and/or concentration in the given well.
  • the invention encompasses a system comprising at least one two-dimensional array of reaction chambers, wherein each reaction chamber is coupled to a chemically-sensitive field effect transistor (“chemFET”) and each reaction chamber is no greater than 10 ⁇ m 3 (i.e., 1 pL) in volume.
  • chemFET chemically-sensitive field effect transistor
  • each reaction chamber is no greater than 0.34 pL, and more preferably no greater than 0.096 pL or even 0.012 pL in volume.
  • a reaction chamber can optionally be 2 2 , 3 2 , 4 2 , 5 2 , 6 2 , 7 2 , 8 2 , 9 2 , or 10 2 square microns in cross-sectional area at the top.
  • the array has at least 10 2 , 10 3 , 10 4 , 10 5 , 10 6 , 10 7 , 10 8 , 10 9 , or more reaction chambers.
  • the reaction chambers may be capacitively coupled to the chemFETs, and preferably are capacitively coupled to the chemFETs.
  • Such systems may be used for high-throughput sequencing of nucleic acids.
  • an array is a planar arrangement of elements such as sensors or wells.
  • the array may be one or two dimensional.
  • a one dimensional array is an array having one column (or row) of elements in the first dimension and a plurality of columns (or rows) in the second dimension.
  • An example of a one dimensional array is a 1 ⁇ 5 array.
  • a two dimensional array is an array having a plurality of columns (or rows) in both the first and the second dimensions. The number of columns (or rows) in the first and second dimensions may or may not be the same.
  • An example of a two dimensional array is a 5 ⁇ 10 array.
  • such a chemFET array/microfluidics hybrid structure may be used to analyze solution(s)/material(s) of interest containing nucleic acids.
  • such structures may be employed to sequence nucleic acids. Sequencing of nucleic acids may be performed to determine partial or complete nucleotide sequence of a nucleic acid, to detect the presence and in some instances nature of a mutation such as but not limited to a single nucleotide polymorphism in a nucleic acid, to identify source of a cell(s) or nucleic acid for example for forensic purposes, to detect abnormal cells such as cancer cells in the body optionally in the absence of detectable tumor masses, to identify pathogens in a sample such as a bodily sample for example for diagnostic and/or therapeutic purposes, to identify antibiotic resistant strains of pathogens in order to avoid unnecessary (and ineffective) therapeutic regimens, to determine what therapeutic regimen will be most effective to treat a subject having a particular condition as can be determined by the subject's genetic make-up (
  • Genomes that can be sequenced include mammalian genomes, and preferably human genomes. Other genomes that can be sequenced include bacterial, viral, fungal and parasitic genomes. Such sequencing may lead to the identification of mutations that give rise to drug resistance, or general evolutionary drift from known species. This latter aspect is useful in determining for example whether a prior therapeutic (such as a vaccine) may be effective against current infecting strains. A specific example is the detection of new influenza strains and a determination of whether a prior year's vaccine cocktail will be effective against a new flu outbreak.
  • the methods of the invention may be embraced by methods for detecting a nucleic acid in a sample.
  • the nucleic acid may be a marker of its source such as a pathogen including but not limited to a virus, or a cancer or tumor in an individual.
  • a sample such as a blood sample may be harvested from a subject and screened for the presence of an occult cancer cell such as one that has extravasated from its original tumor site.
  • the methods may be used for forensic purposes in which samples are screened for the presence of a known nucleic acid (e.g., from a suspect or from a law enforcement DNA bank).
  • a sample may be analyzed for nucleic acid heterogeneity in order to determine whether a sample is derived from one source (e.g., a single subject) or more than one source (e.g., a contaminated sample).
  • the methods described herein may also be used to detect the presence of a nucleotide mutation such as but not limited to a single nucleotide polymorphism. Such mutation analysis or screening is typically performed in prenatal or postnatal diagnostics. The nature of the mutation can then be used to determine the most suitable course of therapy, in some instances. Thus the invention intends that any of the methods provided herein can be used in one or more diagnostic, forensic and/or therapeutic methods.
  • Various aspects of the invention employ a sequencing-by-synthesis approach for sequencing nucleic acids.
  • This approach involves the synthesis of a new nucleic acid strand using a template nucleic acid.
  • the template strand may be primed intermolecularly by hybridizing a sequencing primer to it at one end, or intramolecularly by folding over on itself at one end.
  • the template strand may also be primed by introducing a break or a nick in one strand of a double-stranded nucleic acid, preferably but not exclusively near an end, as described in greater detail herein.
  • known nucleotides are incorporated into the “primer” based on complementarity with the template. The method requires that nucleotides be contacted with the primer (and thus template) (in the presence of polymerase and any other factors required for incorporation) in a selective manner.
  • each nucleotide type is individually contacted with the primer and/or template. In other embodiments, combinations of two or three types of nucleotides may be contacted with the primer and/or template simultaneously. Since the identity of the nucleotides in contact with the primer and/or template at any given time is known, the identity of the incorporated nucleotides (if incorporated) is also known. And based on the necessary complementarity with the template, the sequence of the template can also be deduced. Using different types of nucleotides separately (e.g., using dATP, dCTP, dGTP or dTTP separately from each other), a high resolution sequence can be obtained.
  • nucleotides (or nucleotide triphosphates or deoxyribonucleotides or dNTPs, as they are referred to herein interchangeably) need not be and typically are not extrinsically labeled.
  • naturally occurring nucleotides i.e., nucleotides identical to those that exist in vivo naturally
  • Such nucleotides may be referred to herein as being “unlabeled”.
  • the nucleotides are delivered at substantially the same time to each template.
  • Polymerase(s) are preferably already present, although they also may be introduced along with the nucleotides.
  • the polymerases may be immobilized or may be free flowing.
  • an enzyme such as apyrase, is typically delivered to degrade any unused nucleotides, followed by a washing step to remove substantially all of the enzyme as well as any other remaining and undesirable components.
  • the reaction may occur in a reaction chamber in some embodiments, while in others it may occur in the absence of reaction chambers. In these latter embodiments, the sensor surface may be continuous without any physical divider between sensors.
  • the sequencing reaction is performed simultaneously on a plurality of identical templates in a reaction chamber, and optionally in a plurality of reaction chambers. Sequencing a different template in each reaction chamber allows a greater amount of sequence data to be obtained in any given run. Thus, using as many reaction chambers (and sensors) as possible in a given run also maximizes the amount of sequence data that can be obtained in any given run.
  • the templates in a reaction well are immobilized (e.g., covalently or non-covalently) onto and/or in a bead, referred to herein as a capture bead, or onto a solid support such as the chemFET surface.
  • a plurality may represent a subset of elements rather than the entirety of all elements.
  • the plurality of templates in the reaction chamber that are sequenced may represent a subset or all of the templates in the reaction chamber.
  • this particular embodiment requires that at least two templates be sequenced, and it does not require that all the templates present in the reaction chamber be sequenced.
  • nucleotide incorporation is detected through byproducts of the incorporation or by changes in charge to the newly synthesized nucleic acid, especially where it is immobilized on a chemFET surface, rather than by detecting the incorporated nucleotide itself. More specifically, some embodiments exploit the release of inorganic pyrophosphate (PPi), inorganic phosphate (Pi), and hydrogen ions (all of which are considered sequencing reaction byproducts) that occurs following incorporation of a nucleotide into a nucleic acid (such as a primer, for example). In some embodiments of the invention, the method detects the released hydrogen ions as an indication of nucleotide incorporation.
  • PPi inorganic pyrophosphate
  • Ni inorganic phosphate
  • hydrogen ions all of which are considered sequencing reaction byproducts
  • chemFETs and chemFET arrays
  • chemFETs are suited to the detection of these ions as well as other sequencing reaction byproducts. It is to be understood that the aspects and embodiments described herein related to chemFETs equally contemplate and embrace ISFETs unless otherwise stated.
  • the invention includes methods for improving detection of the hydrogen ions by the chemFET. These methods include generating and/or detecting more hydrogen ions in a given sequencing reaction. This can be done by increasing the number of templates per reaction chamber, increasing the number of templates attached to each capture bead, increasing the number of templates being sequenced per reaction chamber, increasing the number of templates bound to the sensor surface, increasing the stability of the primer/template hybrid, increasing the processivity of the polymerase, and/or combining nucleotide incorporation with nucleotide excision (e.g., performing the sequencing-by-synthesis reaction in the context of a nick translation reaction), among other things.
  • Another alternative or additional approach is to increase the number of released hydrogen ions that are actually detected by the chemFET.
  • buffering inhibitors may be short RNA oligomers that bind to single stranded regions of the templates, or chemical compounds that interact with the materials comprised in the reaction chambers and/or chemFETs themselves.
  • Some aspects and embodiments presented herein involve dense chemFET arrays and reaction chamber arrays. It will be apparent that as arrays become more dense, area and/or volume of individual elements (e.g., sensor surfaces and reaction chambers) will typically become smaller in order to accommodate a greater number of sensors or reaction chambers without a concomitant (or significant) increase in total array area. However, it has been determined in accordance with an aspect of the invention that as volume of a reaction chamber decreases, the signal to noise ratio can actually increase due to an increased nucleic acid concentration. For example, it has been determined that a roughly 2.3 fold decrease in reaction chamber volume can yield about a 1.5 fold increase in signal to noise ratio. This increase can occur even if the total number of nucleic acids being sequenced is reduced. Thus, in some instances rather than losing signal by moving to more dense arrays, the invention contemplates a greater signal due to an increased concentration of nucleic acids in the smaller volume reaction chambers.
  • the invention also contemplates sequencing-by-synthesis methods that detect nucleotide incorporation events based on changes in charge at the chemFET surface due to the a change in charge of a moiety attached to the surface, such as a nucleic acid or a nucleic acid complex (e.g., a template/primer hybrid).
  • a nucleic acid or a nucleic acid complex e.g., a template/primer hybrid
  • Such methods include those that use or extend nucleic acids that are immobilized (e.g., covalently) to the surface of a chemFET.
  • Nucleotide incorporation into a nucleic acid that is bound to a chemFET surface typically results in an increase in the negative charge of the bound nucleic acid or the complex in which it is present (e.g., a template/primer hybrid).
  • the primer will be bound to the chemFET surface while in other instances the template will be bound to the chemFET surface.
  • a plurality of identical, typically physically separate, nucleic acids are immobilized to individual chemFET surfaces and sequencing-by-synthesis reactions are performed on the plurality simultaneously and synchronously.
  • the nucleic acids are not concatemers and rather each will include only a single copy of the nucleic acid to be sequenced.
  • sequencing methods can be used to sequence a genome or part thereof.
  • a method may include delivering fragmented nucleic acids from the genome or part thereof to a system for high-throughput sequencing comprising at least one array of reaction chambers, wherein each reaction chamber is coupled to a chemFET, and detecting a sequencing reaction in a reaction chamber via a signal from the chemFET coupled with the reaction chamber.
  • the method may include delivering fragmented nucleic acids from the genome or part thereof to a sequencing apparatus comprising an array of reaction chambers, wherein each of the reaction chambers is disposed in a sensing relationship with an individual associated chemFET, and detecting a sequencing reaction a reaction chambers via a signal from its associated chemFET.
  • a sequencing apparatus comprising an array of reaction chambers, wherein each of the reaction chambers is disposed in a sensing relationship with an individual associated chemFET, and detecting a sequencing reaction a reaction chambers via a signal from its associated chemFET.
  • all four nucleotides are flowed into the same reaction chamber, either individually (or separately) or as some mixture of less than all four nucleotides, in an ordered and known manner.
  • the methods provided herein may allow for at least 10 3 , preferably at least 10 4 , more preferably at least 10 5 , and even more preferably at least 10 6 bases to be determined (or sequenced) per hour.
  • at least 10 7 bases, at least 10 8 bases, at least 10 9 bases, or at least 10 10 bases are sequenced per hour using the methods and arrays discussed herein.
  • the methods may be used to sequence an entire human genome within about 24 hours, more preferably within about 20 hours, even more preferably within about 15 hours, even more preferably within about 10 hours, even more preferably within about 5 hours, and most preferably within about 1 hour.
  • FIG. 8 generally illustrates a nucleic acid processing system 1000 comprising a large scale chemFET array, according to one inventive embodiment of the present disclosure.
  • An example of a nucleic acid processing system is a nucleic acid sequencing system.
  • the chemFET sensors of the array are described for purposes of illustration as ISFETs configured for sensitivity to static and/or dynamic ion concentration, including but not limited to hydrogen ion concentration.
  • ISFETs configured for sensitivity to static and/or dynamic ion concentration, including but not limited to hydrogen ion concentration.
  • the present disclosure is not limited in this respect, and that in any of the embodiments discussed herein in which ISFETs are employed as an illustrative example, other types of chemFETs may be similarly employed in alternative embodiments, as discussed in further detail below.
  • various aspects and embodiments of the invention may employ ISFETs as sensors yet detect one or more ionic species that are not hydrogen ions.
  • the system 1000 includes a semiconductor/microfluidics hybrid structure 300 comprising an ISFET sensor array 100 and a microfluidics flow cell 200 .
  • the flow cell 200 may comprise a number of wells (not shown in FIG. 8 ) disposed above corresponding sensors of the ISFET array 100 .
  • the flow cell 200 is configured to facilitate the sequencing of one or more identical template nucleic acids disposed in the flow cell via the controlled and ordered introduction to the flow cell of a number of sequencing reagents 272 (e.g., dATP, dCTP, dGTP, dTTP (generically referred to herein as dNTP), divalent cations such as but not limited to Mg 2+ , wash solutions, and the like).
  • sequencing reagents 272 e.g., dATP, dCTP, dGTP, dTTP (generically referred to herein as dNTP), divalent cations such as but not limited to Mg 2+ , wash solutions, and the like.
  • the introduction of the sequencing reagents to the flow cell 200 may be accomplished via one or more valves 270 and one or more pumps 274 that are controlled by a computer 260 .
  • a number of techniques may be used to admit (i.e., introduce) the various processing materials (i.e., solutions, samples, reaction reagents, wash solutions, and the like) into the wells of such a flow cell.
  • reagents including dNTP may be admitted to the flow cell (e.g., via the computer controlled valve 270 and pumps 274 ) from which they diffuse into the wells, or reagents may be added to the flow cell by other means such as an ink jet.
  • the flow cell 200 may not contain any wells, and diffusion properties of the reagents may be exploited to limit cross-talk between respective sensors of the ISFET array 100 , or nucleic acids may be immobilized on the surfaces of sensors of the ISFET array 100 .
  • the flow cell 200 in the system of FIG. 8 may be configured in a variety of manners to provide one or more analytes (or one or more reaction solutions) in proximity to the ISFET array 100 .
  • a template nucleic acid may be directly attached or applied in suitable proximity to one or more pixels of the sensor array 100 , or in or on a support material (e.g., one or more “beads”) located above the sensor array but within the reaction chambers, or on the sensor surface itself.
  • Processing reagents e.g., enzymes such as polymerases
  • the ISFET sensor array 100 monitors ionic species, and in particular, changes in the levels/amounts and/or concentration of ionic species, including hydrogen ions.
  • the species are those that result from a nucleic acid synthesis or sequencing reaction.
  • Various embodiments of the present invention may relate to monitoring/measurement techniques that involve the static and/or dynamic responses of an ISFET. It is to be understood that although the particular example of a nucleic acid synthesis or sequencing reaction is provided to illustrate the transient or dynamic response of chemFET such as an ISFET, the transient or dynamic response of a chemFET such as an ISFET as discussed below may be exploited for monitoring/sensing other types of chemical and/or biological activity beyond the specific example of a nucleic acid synthesis or sequencing reaction.
  • the ISFET may be employed to measure steady state pH values, since in some embodiments pH change is proportional to the number of nucleotides incorporated into the newly synthesized nucleic acid strand.
  • the FET sensor array may be particularly configured for sensitivity to other analytes that may provide relevant information about the chemical reactions of interest.
  • An example of such a modification or configuration is the use of analyte-specific receptors to bind the analytes of interest, as discussed in greater detail herein.
  • the ISFET array may be controlled so as to acquire data (e.g., output signals of respective ISFETs of the array) relating to analyte detection and/or measurements, and collected data may be processed by the computer 260 to yield meaningful information associated with the processing (including sequencing) of the template nucleic acid.
  • data e.g., output signals of respective ISFETs of the array
  • collected data may be processed by the computer 260 to yield meaningful information associated with the processing (including sequencing) of the template nucleic acid.
  • the array 100 is implemented as an integrated circuit designed and fabricated using standard CMOS processes (e.g., 0.35 micrometer process, 0.18 micrometer process), comprising all the sensors and electronics needed to monitor/measure one or more analytes and/or reactions.
  • CMOS processes e.g. 0.35 micrometer process, 0.18 micrometer process
  • one or more reference electrodes 76 to be employed in connection with the ISFET array 100 may be placed in the flow cell 200 (e.g., disposed in “unused” wells of the flow cell) or otherwise exposed to a reference (e.g., one or more of the sequencing reagents 172 ) to establish a base line against which changes in analyte concentration proximate to respective ISFETs of the array 100 are compared.
  • a reference e.g., one or more of the sequencing reagents 172
  • the reference electrode(s) 76 may be electrically coupled to the array 100 , the array controller 250 or directly to the computer 260 to facilitate analyte measurements based on voltage signals obtained from the array 100 ; in some implementations, the reference electrode(s) may be coupled to an electric ground or other predetermined potential, or the reference electrode voltage may be measured with respect to ground, to establish an electric reference for ISFET output signal measurements, as discussed further below.
  • the ISFET array 100 is not limited to any particular size, as one- or two-dimensional arrays, including but not limited to as few as two to 256 pixels (e.g., 16 by 16 pixels in a two-dimensional implementation) or as many as 54 mega-pixels (e.g., 7400 by 7400 pixels in a two-dimensional implementation) or even greater may be fabricated and employed for various chemical/biological analysis purposes pursuant to the concepts disclosed herein.
  • the individual ISFET sensors of the array may be configured for sensitivity to hydrogen ions; however, it should also be appreciated that the present disclosure is not limited in this respect, as individual sensors of an ISFET sensor array may be particularly configured for sensitivity to other types of ion concentrations for a variety of applications (materials sensitive to other ions such as sodium, silver, iron, bromine, iodine, calcium, and nitrate, for example, are known).
  • a chemFET array may be configured for sensitivity to any one or more of a variety of analytes.
  • one or more chemFETs of an array may be particularly configured for sensitivity to one or more analytes and/or one or more binding events, and in other embodiments different chemFETs of a given array may be configured for sensitivity to different analytes.
  • one or more sensors (pixels) of the array may include a first type of chemFET configured to be sensitive to a first analyte, and one or more other sensors of the array may include a second type of chemFET configured to be sensitive to a second analyte different from the first analyte.
  • both a first and a second analyte may indicate a particular reaction such as for example nucleotide incorporation in a sequencing-by-synthesis method.
  • more than two different types of chemFETs may be employed in any given array to detect and/or measure different types of analytes and/or other reactions.
  • a given sensor array may be “homogeneous” and include chemFETs of substantially similar or identical types to detect and/or measure a same type of analyte (e.g., hydrogen ions), or a sensor array may be “heterogeneous” and include chemFETs of different types to detect and/or measure different analytes.
  • analyte e.g., hydrogen ions
  • a sensor array may be “heterogeneous” and include chemFETs of different types to detect and/or measure different analytes.
  • the chemFET arrays configured for sensitivity to any one or more of a variety of analytes may be disposed in electronic chips, and each chip may be configured to perform one or more different biological reactions.
  • the electronic chips can be connected to the portions of the above-described system which read the array output by means of pins coded in a manner such that the pins convey information to the system as to characteristics of the array and/or what kind of biological reaction(s) is(are) to be performed on the particular chip.
  • the invention encompasses an electronic chip configured for conducting biological reactions thereon, comprising one or more pins for delivering information to a circuitry identifying a characteristic of the chip and/or a type of reaction to be performed on the chip.
  • Such reactions or applications may include, but are not limited to, nucleotide polymorphism detection, short tandem repeat detection, or general sequencing.
  • the invention encompasses a system adapted to perform more than one biological reaction on a chip the system comprising a chip receiving module adapted for receiving the chip, and a receiver for detecting information from the electronic chip, wherein the information determines a biological reaction to be performed on the chip.
  • the system further comprises one or more reagents to perform the selected biological reaction.
  • the invention encompasses an apparatus for sequencing a polymer template comprising at least one integrated circuit that is configured to relay information about spatial location of a reaction chamber, the type of monomer added to the spatial location, and the time required to complete reaction of a reagent comprising a plurality of the monomers with an elongating polymer.
  • each pixel of the ISFET array 100 may include an ISFET and accompanying enable/select components, and may occupy an area on a surface of the array of approximately ten micrometers by ten micrometers (i.e., 100 micrometers 2 ) or less; stated differently, arrays having a pitch (center of pixel-to-center of pixel spacing) on the order of 10 micrometers or less may be realized.
  • An array pitch on the order of 10 micrometers or less using a 0.35 micrometer CMOS processing technique constitutes a significant improvement in terms of size reduction with respect to prior attempts to fabricate ISFET arrays, which resulted in pixel sizes on the order of at least 12 micrometers or greater.
  • an array pitch of approximately nine (9) micrometers allows an ISFET array including over 256,000 pixels (e.g. a 512 by 512 array), together with associated row and column select and bias/readout electronics, to be fabricated on a 7 millimeter by 7 millimeter semiconductor die, and a similar sensor array including over four million pixels (e.g., a 2048 by 2048 array) to be fabricated on a 21 millimeter by 21 millimeter die.
  • an array pitch of approximately 5 micrometers allows an ISFET array including approximately 1.55 Mega-pixels (e.g., a 1348 by 1152 array) and associated electronics to be fabricated on a 9 millimeter by 9 millimeter die, and an ISFET sensor array including over 14 Mega-pixels and associated electronics on a 22 millimeter by 20 millimeter die.
  • ISFET sensor arrays with a pitch significantly below 5 micrometers may be fabricated (e.g., array pitch of 2.6 micrometers or pixel area of less than 8 or 9 micrometers 2 ), providing for significantly dense ISFET arrays.
  • one or more array controllers 250 may be employed to operate the ISFET array 100 (e.g., selecting/enabling respective pixels of the array to obtain output signals representing analyte measurements).
  • one or more components constituting one or more array controllers may be implemented together with pixel elements of the arrays themselves, on the same integrated circuit (IC) chip as the array but in a different portion of the IC chip, or off-chip.
  • IC integrated circuit
  • analog-to-digital conversion of ISFET output signals may be performed by circuitry implemented on the same integrated circuit chip as the ISFET array, but located outside of the sensor array region (locating the analog to digital conversion circuitry outside of the sensor array region allows for smaller pitch and hence a larger number of sensors, as well as reduced noise).
  • analog-to-digital conversion can be 4-bit, 8-bit, 12-bit, 16-bit or other bit resolutions depending on the signal dynamic range required.
  • data may be removed from the array in serial or parallel or some combination thereof.
  • On-chip controllers or sense amplifiers
  • the chip controllers or signal amplifiers may be replicated as necessary according to the demands of the application.
  • the array may, but need not be, uniform. For instance, if signal processing or some other constraint requires instead of one large array multiple smaller arrays, each with its own sense amplifiers or controller logic, that is quite feasible.
  • chemFET array 100 e.g., ISFET
  • ISFET chemFET array 100
  • chemFET arrays according to various inventive embodiments of the present disclosure that may be employed in a variety of applications.
  • chemFET arrays according to the present disclosure are discussed below using the particular example of an ISFET array, but other types of chemFETs may be employed in alternative embodiments.
  • chemFET arrays are discussed in the context of nucleic acid sequencing applications, however, the invention is not so limited and rather contemplates a variety of applications for the chemFET arrays described herein.
  • inventive embodiments disclosed herein specifically improve upon the ISFET array design of Milgrew et al. discussed above in connection with FIGS. 1-7 , as well as other prior ISFET array designs, so as to significantly reduce pixel size and array pitch, and thereby increase the number of pixels of an ISFET array for a given semiconductor die size (i.e., increase pixel density).
  • an increase in pixel density is accomplished while at the same time increasing the signal-to-noise ratio (SNR) of output signals corresponding to respective measurements relating to one or more analytes and the speed with which such output signals may be read from the array.
  • SNR signal-to-noise ratio
  • FIG. 9 illustrates one column 102 j of an ISFET array 100 , according to one inventive embodiment of the present disclosure, in which ISFET pixel design is appreciably simplified to facilitate small pixel size.
  • the column 102 j includes n pixels, the first and last of which are shown in FIG. 9 as the pixels 105 1 and 105 n .
  • the ISFETs may be arrayed in other than a row-column grid, such as in a honeycomb pattern.
  • each pixel 105 1 through 105 n of the column 102 j includes only three components, namely, an ISFET 150 (also labeled as Q 1 ) and two MOSFET switches Q 2 and Q 3 .
  • the MOSFET switches Q 2 and Q 3 are both responsive to one of n row select signals ( RowSel 1 through RowSel n , logic low active) so as to enable or select a given pixel of the column 102 j .
  • the transistor switch Q 3 couples a controllable current source 106 j via the line 112 1 to the source of the ISFET 150 upon receipt of the corresponding row select signal via the line 118 1 .
  • the transistor switch Q 2 couples the source of the ISFET 150 to column bias/readout circuitry 110 j via the line 114 1 upon receipt of the corresponding row select signal.
  • the drain of the ISFET 150 is directly coupled via the line 116 1 to the bias/readout circuitry 110 j .
  • only four signal lines per pixel namely the lines 112 1 , 114 1 , 116 1 and 118 1 , are required to operate the three components of the pixel 105 1 .
  • a given row select signal is applied simultaneously to one pixel of each column (e.g., at same positions in respective columns).
  • the design for the column 102 j is based on general principles similar to those discussed above in connection with the column design of Milgrew et al. shown FIG. 3 .
  • the ISFET of each pixel when enabled, is configured with a constant drain current I Dj and a constant drain-to-source voltage V DSj to obtain an output signal V Sj from an enabled pixel according to Eq. (3) above.
  • the column 102 j includes a controllable current source 106 j , coupled to an analog circuitry positive supply voltage VDDA and responsive to a bias voltage VB 1 , that is shared by all pixels of the column to provide a constant drain current I Dj to the ISFET of an enabled pixel.
  • the current source 106 j is implemented as a current mirror including two long-channel length and high output impedance MOSFETs.
  • the column also includes bias/readout circuitry 110 j that is also shared by all pixels of the column to provide a constant drain-to-source voltage to the ISFET of an enabled pixel.
  • the bias/readout circuitry 110 j is based on a Kelvin Bridge configuration and includes two operational amplifiers 107 A (A 1 ) and 107 B (A 2 ) configured as buffer amplifiers and coupled to analog circuitry positive supply voltage VDDA and the analog supply voltage ground VSSA.
  • the bias/readout circuitry also includes a controllable current sink 108 j , (similar to the current source 106 j ) coupled to the analog ground VSSA and responsive to a bias voltage VB 2 , and a diode-connected MOSFET Q 6 .
  • the bias voltages VB 1 and VB 2 are set/controlled in tandem to provide a complimentary source and sink current.
  • the voltage developed across the diode-connected MOSFET Q 6 as a result of the current drawn by the current sink 108 j is forced by the operational amplifiers to appear across the drain and source of the ISFET of an enabled pixel as a constant drain-source voltage V DSj .
  • the column bias/readout circuitry 110 j also includes sample/hold and buffer circuitry to provide an output signal V COLj from the column.
  • the output of the amplifier 107 A (A 1 ) i.e., a buffered V Sj
  • a switch e.g., a transmission gate
  • suitable capacitances for the sample and hold capacitor include, but are not limited to, a range of from approximately 500 fF to 2 pF.
  • the sampled voltage is buffered via a column output buffer amplifier 111 j (BUF) and provided as the column output signal V COLj .
  • a reference voltage VREF may be applied to the buffer amplifier 111 j , via a switch responsive to a control signal CAL, to facilitate characterization of column-to-column non-uniformities due to the buffer amplifier 111 j and thus allow post-read data correction.
  • FIG. 9A illustrates an exemplary circuit diagram for one of the amplifiers 107 A of the bias/readout circuitry 110 j (the amplifier 107 B is implemented identically), and FIG. 9B is a graph of amplifier bias vs. bandwidth for the amplifiers 107 A and 107 B.
  • the amplifier 107 A employs an arrangement of multiple current mirrors based on nine MOSFETs (M 1 through M 9 ) and is configured as a unity gain buffer, in which the amplifier's inputs and outputs are labeled for generality as IN+ and VOUT, respectively.
  • the bias voltage VB 4 (representing a corresponding bias current) controls the transimpedance of the amplifier and serves as a bandwidth control (i.e., increased bandwidth with increased current).
  • the output of the amplifier 107 A essentially drives a filter when the sample and hold switch is closed. Accordingly, to achieve appreciably high data rates, the bias voltage VB 4 may be adjusted to provide higher bias currents and increased amplifier bandwidth. From FIG. 9B , it may be observed that in some exemplary implementations, amplifier bandwidths of at least 40 MHz and significantly greater may be realized. In some implementations, amplifier bandwidths as high as 100 MHz may be appropriate to facilitate high data acquisition rates and relatively lower pixel sample or “dwell” times (e.g., on the order of 10 to 20 microseconds).
  • the pixels 105 1 through 105 n do not include any transmission gates or other devices that require both n-channel and p-channel FET components; in particular, the pixels 105 1 through 105 n of this embodiment include only FET devices of a same type (i.e., only n-channel or only p-channel).
  • the pixels 105 1 and 105 n illustrated in FIG. 9 are shown as comprising only p-channel components, i.e., two p-channel MOSFETs Q 2 and Q 3 and a p-channel ISFET 150 .
  • some dynamic range for the ISFET output signal i.e., the ISFET source voltage V S
  • V S the ISFET source voltage
  • the requirement of different type FET devices (both n-channel and p-channel) in each pixel may be eliminated and the pixel component count reduced. As discussed further below in connection with FIGS. 10-12 , this significantly facilitates pixel size reduction.
  • the ISFET 150 of each pixel 105 1 through 105 n does not have its body connection tied to its source (i.e., there is no electrical conductor coupling the body connection and source of the ISFET such that they are forced to be at the same electric potential during operation). Rather, the body connections of all ISFETs of the array are tied to each other and to a body bias voltage V BODY . While not shown explicitly in FIG. 9 , the body connections for the MOSFETs Q 2 and Q 3 likewise are not tied to their respective sources, but rather to the body bias voltage V BODY . In one exemplary implementation based on pixels having all p-channel components, the body bias voltage V BODY is coupled to the highest voltage potential available to the array (e.g., VDDA), as discussed further below in connection with FIG. 17 .
  • VDDA highest voltage potential available to the array
  • any measurement nonlinearity that may result over the reduced dynamic range may be ignored as insignificant or taken into consideration and compensated (e.g., via array calibration and data processing techniques, as discussed further below in connection with FIG. 17 ).
  • all of the FETs constituting the pixel may share a common body connection, thereby further facilitating pixel size reduction, as discussed further below in connection with FIGS. 10-12 . Accordingly, in another aspect, there is a beneficial tradeoff between reduced linearity and smaller pixel size.
  • FIG. 10 illustrates a top view of a chip layout design for the pixel 105 1 shown in FIG. 9 , according to one inventive embodiment of the present disclosure.
  • FIG. 11A shows a composite cross-sectional view along the line I-I of the pixel shown in FIG. 10 , including additional elements on the right half of FIG. 10 between the lines II-II and III-III, illustrating a layer-by-layer view of the pixel fabrication
  • FIGS. 12A through 12L provide top views of each of the fabrication layers shown in FIG. 11A (the respective images of FIGS. 12A through 12L are superimposed one on top of another to create the pixel chip layout design shown in FIG. 10 ).
  • 10-12 may be realized using a standard 4-metal, 2-poly, 0.35 micrometer CMOS process to provide a geometrically square pixel having a dimension “e” as shown in FIG. 10 of approximately 9 micrometers, and a dimension “f” corresponding to the ISFET sensitive area of approximately 7 micrometers.
  • the ISFET 150 (labeled as Q 1 in FIG. 10 ) generally occupies the right center portion of the pixel illustration, and the respective locations of the gate, source and drain of the ISFET are indicated as Q 1 G , Q 1 S and Q 1 D .
  • the MOSFETs Q 2 and Q 3 generally occupy the left center portion of the pixel illustration; the gate and source of the MOSFET Q 2 are indicated as Q 2 G and Q 2 S , and the gate and source of the MOSFET Q 3 are indicated as Q 3 G and Q 3 S .
  • the MOSFETs Q 2 and Q 3 share a drain, indicated as Q 2 / 3 D .
  • the ISFET is formed such that its channel lies along a first axis of the pixel (e.g., parallel to the line I-I), while the MOSFETs Q 2 and Q 3 are formed such that their channels lie along a second axis perpendicular to the first axis.
  • FIG. 10 also shows the four lines required to operate the pixel, namely, the line 112 1 coupled to the source of Q 3 , the line 114 1 coupled to the source of Q 2 , the line 116 1 coupled to the drain of the ISFET; and the row select line 118 1 coupled to the gates of Q 2 and Q 3 .
  • highly doped p-type regions 156 and 158 (lying along the line I-I in FIG. 10 ) in n-well 154 constitute the source (S) and drain (D) of the ISFET, between which lies a region 160 of the n-well in which the ISFETs p-channel is formed below the ISFETs polysilicon gate 164 and a gate oxide 165 .
  • all of the FET components of the pixel 105 1 are fabricated as p-channel FETs in the single n-type well 154 formed in a p-type semiconductor substrate 152 .
  • n-well 154 provides a body connection (B) to the n-well 154 and, as shown in FIG. 10 , the body connection B is coupled to a metal conductor 322 around the perimeter of the pixel 105 1 .
  • the body connection is not directly electrically coupled to the source region 156 of the ISFET (i.e., there is no electrical conductor coupling the body connection and source such that they are forced to be at the same electric potential during operation), nor is the body connection directly electrically coupled to the gate, source or drain of any component in the pixel.
  • the other p-channel FET components of the pixel namely Q 2 and Q 3 , may be fabricated in the same n-well 154 .
  • a highly doped p-type region 159 is also visible (lying along the line I-I in FIG. 10 ), corresponding to the shared drain (D) of the MOSFETs Q 2 and Q 3 .
  • a polysilicon gate 166 of the MOSFET Q 3 also is visible in FIG. 11A , although this gate does not lie along the line I-I in FIG. 10 , but rather “behind the plane” of the cross-section along the line I-I.
  • the respective sources of the MOSFETs Q 2 and Q 3 shown in FIG. 10 as well as the gate of Q 2 , are not visible in FIG.
  • FIG. 11A Above the substrate, gate oxide, and polysilicon layers shown in FIG. 11A , a number of additional layers are provided to establish electrical connections to the various pixel components, including alternating metal layers and oxide layers through which conductive vias are formed. Pursuant to the example of a 4-Metal CMOS process, these layers are labeled in FIG. 11A as “Contact,” “Metal 1 ,” “Via 1 ,” “Metal 2 ,” “Via 2 ,” “Metal 3 ,” “Via 3 ,” and “Metal 4 .” (Note that more or fewer metal layers may be employed.) To facilitate an understanding particularly of the ISFET electrical connections, the composite cross-sectional view of FIG.
  • the topmost metal layer 304 corresponds to the ISFETs sensitive area 178 , above which is disposed an analyte-sensitive passivation layer 172 .
  • the topmost metal layer 304 together with the ISFET polysilicon gate 164 and the intervening conductors 306 , 308 , 312 , 316 , 320 , 326 and 338 , form the ISFETs “floating gate” structure 170 , in a manner similar to that discussed above in connection with a conventional ISFET design shown in FIG. 1 .
  • An electrical connection to the ISFETs drain is provided by the conductors 340 , 328 , 318 , 314 and 310 coupled to the line 116 1 .
  • the ISFETs source is coupled to the shared drain of the MOSFETs Q 2 and Q 3 via the conductors 334 and 336 and the conductor 324 (which lies along the line I-I in FIG. 10 ).
  • the body connections 162 to the n-well 154 are electrically coupled to a metal conductor 322 around the perimeter of the pixel on the “Metal 1 ” layer via the conductors 330 and 332 .
  • FIGS. 12A through 12L provide top views of each of the fabrication layers shown in FIG. 11A (the respective images of FIGS. 12A through 12L are superimposed one on top of another to create the pixel chip layout design shown in FIG. 10 ).
  • FIG. 12 the correspondence between the lettered top views of respective layers and the cross-sectional view of FIG.
  • 11A is as follows: A) n-type well 154 ; B) Implant; C) Diffusion; D) polysilicon gates 164 (ISFET) and 166 (MOSFETs Q 2 and Q 3 ); E) contacts; F) Metal 1 ; G) Via 1 ; H) Metal 2 ; I) Via 2 ; J) Metal 3 ; K) Via 3 ; L) Metal 4 (top electrode contacting ISFET gate).
  • the various reference numerals indicated in FIGS. 12A through 12L correspond to the identical features that are present in the composite cross-sectional view of FIG. 11A .
  • pixel capacitance may be a salient parameter for some type of analyte measurements.
  • various via and metal layers may be reconfigured so as to at least partially mitigate the potential for parasitic capacitances to arise during pixel operation.
  • pixels are designed such that there is a greater vertical distance between the signal lines 112 1 , 114 1 , 116 1 and 118 1 , and the topmost metal layer 304 constituting the floating gate structure 170 .
  • the topmost metal layer 304 is formed in the Metal 4 layer (also see FIG. 12L ), and the signal lines 112 1 , 114 1 , and 116 1 are formed in the Metal 3 layer (also see FIG. 12J ).
  • the signal line 118 1 is formed in the Metal 2 layer.
  • a parasitic capacitance may arise between any one or more of these signal lines and metal layer 304 . By increasing a distance between these signal lines and the metal layer 304 , such parasitic capacitance may be reduced.
  • FIG. 10-1 illustrates a top view of a such a chip layout design for a cluster of four neighboring pixels of an chemFET array shown in FIG. 9 , with one particular pixel 105 1 identified and labeled.
  • FIG. 10-1 illustrates a top view of a such a chip layout design for a cluster of four neighboring pixels of an chemFET array shown in FIG. 9 , with one particular pixel 105 1 identified and labeled.
  • FIG. 11A-1 shows a composite cross-sectional view of neighboring pixels, along the line I-I of the pixel 105 1 shown in FIG. 10-1 , including additional elements between the lines II-II, illustrating a layer-by-layer view of the pixel fabrication
  • FIGS. 12-1A through 12 - 1 L provide top views of each of the fabrication layers shown in FIG. 11A-1 (the respective images of FIGS. 12-1A through 12 - 1 L are superimposed one on top of another to create the pixel chip layout design shown in FIG. 10-1 ).
  • FIG. 10-1 it may be observed that the pixel top view layout is generally similar to that shown in FIG. 10 .
  • the ISFET 150 generally occupies the right center portion of each pixel, and the MOSFETs Q 2 and Q 3 generally occupy the left center portion of the pixel illustration.
  • Many of the component labels included in FIG. 10 are omitted from FIG. 10-1 for clarity, although the ISFET polysilicon gate 164 is indicated in the pixel 105 1 for orientation.
  • FIG. 10-1 also shows the four lines ( 112 1 , 114 1 , 116 1 and 118 1 ) required to operate the pixel.
  • FIG. 10 shows the four lines ( 112 1 , 114 1 , 116 1 and 118 1 ) required to operate the pixel.
  • 10-1 relates to the metal conductor 322 (located on the Metal 1 layer) which provides an electrical connection to the body region 162 ; namely, in FIG. 10 , the conductor 322 surrounds a perimeter of the pixel, whereas in FIG. 10-1 , the conductor 322 does not completely surround a perimeter of the pixel but includes discontinuities 727 . These discontinuities 727 permit the line 118 1 to also be fabricated on the Metal 1 layer and traverse the pixel to connect to neighboring pixels of a row.
  • FIG. 11A-1 With reference now to the cross-sectional view of FIG. 11A-1 , three adjacent pixels are shown in cross-section, with the center pixel corresponding to the pixel 105 1 in FIG. 10-1 for purposes of discussion.
  • all of the FET components of the pixel 105 1 are fabricated as p-channel FETs in the single n-type well 154 .
  • the highly doped p-type region 159 is also visible (lying along the line I-I in FIG. 10-1 ), corresponding to the shared drain (D) of the MOSFETs Q 2 and Q 3 .
  • the polysilicon gate 166 of the MOSFET Q 3 also is visible in FIG. 11A-1 , although this gate does not lie along the line I-I in FIG. 10-1 , but rather “behind the plane” of the cross-section along the line I-I.
  • the respective sources of the MOSFETs Q 2 and Q 3 shown in FIG. 10-1 , as well as the gate of Q 2 are not visible in FIG. 11A-1 , as they lie along the same axis (i.e., perpendicular to the plane of the figure) as the shared drain.
  • the composite cross-sectional view of FIG. 11A-1 shows additional elements of the pixel fabrication between the lines II-II of FIG. 10-1 .
  • the topmost metal layer 304 corresponds to the ISFETs sensitive area 178 , above which is disposed an analyte-sensitive passivation layer 172 .
  • the topmost metal layer 304 together with the ISFET polysilicon gate 164 and the intervening conductors 306 , 308 , 312 , 316 , 320 , 326 and 338 , form the ISFETs floating gate structure 170 .
  • an electrical connection to the ISFETs drain is provided by the conductors 340 , 328 , and 318 , coupled to the line 116 1 which is formed in the Metal 2 layer rather than the Metal 3 layer.
  • FIG. 11A-1 the lines 112 1 and 114 1 also are shown in FIG. 11A-1 as formed in the Metal 2 layer rather than the Metal 3 layer.
  • the configuration of these lines, as well as the line 118 1 may be further appreciated from the respective images of FIGS. 12-1A through 12 - 1 L (in which the correspondence between the lettered top views of respective layers and the cross-sectional view of FIG. 11A-1 is the same as that described in connection with FIGS. 12A-12L ); in particular, it may be observed in FIG.
  • parasitic capacitances in the ISFET may be at least partially mitigated.
  • this general concept e.g., including one or more intervening metal layers between signal lines and topmost layer of the floating gate structure
  • this general concept may be implemented in other fabrication processes involving greater numbers of metal layers.
  • distance between pixel signal lines and the topmost metal layer may be increased by adding additional metal layers (more than four total metal layers) in which only jumpers to the topmost metal layer are formed in the additional metal layers.
  • a six-metal-layer fabrication process may be employed, in which the signal lines are fabricated using the Metal 1 and Metal 2 layers, the topmost metal layer of the floating gate structure is formed in the Metal 6 layer, and jumpers to the topmost metal layer are formed in the Metal 3 , Metal 4 and Metal 5 layers, respectively (with associated vias between the metal layers).
  • the general pixel configuration shown in FIGS. 10 , 11 A, and 12 A- 12 L may be employed (signal lines on Metal 2 and Metal 3 layers), in which the topmost metal layer is formed in the Metal 6 layer and jumpers are formed in the Metal 4 and Metal 5 layers, respectively.
  • a dimension “f” of the topmost metal layer 304 may be reduced so as to reduce cross-capacitance between neighboring pixels.
  • the well 725 may be fabricated so as to have a tapered shape, such that a dimension “g” at the top of the well is smaller than the pixel pitch “e” but yet larger than a dimension “f” at the bottom of the well.
  • the topmost metal layer 304 also may be designed with the dimension “f” rather than the dimension “g” so as to provide for additional space between the top metal layers of neighboring pixels.
  • the dimension “f” may be on the order of 6 micrometers (as opposed to 7 micrometers, as discussed above), and for pixels having a dimension “e” on the order of 5 micrometers the dimension “f” may be on the order of 3.5 micrometers.
  • FIGS. 10 , 11 A, and 12 A through 12 L, and FIGS. 10-1 , 11 A- 1 , and 12 - 1 A through 12 - 1 L illustrate that according to various embodiments FET devices of a same type may be employed for all components of a pixel, and that all components may be implemented in a single well. This dramatically reduces the area required for the pixel, thereby facilitating increased pixel density in a given area.
  • the gate oxide 165 for the ISFET may be fabricated to have a thickness on the order of approximately 75 Angstroms, giving rise to a gate oxide capacitance per unit area C ox of 4.5 fF/ ⁇ m 2 .
  • the polysilicon gate 164 may be fabricated with dimensions corresponding to a channel width W of 1.2 ⁇ m and a channel length L of from 0.35 to 0.6 ⁇ m (i.e., W/L ranging from approximately 2 to 3.5), and the doping of the region 160 may be selected such that the carrier mobility for the p-channel is 190 cm 2 /V ⁇ s (i.e., 1.9E10 ⁇ m 2 /V ⁇ s). From Eq.
  • ISFET transconductance parameter ⁇ on the order of approximately 170 to 300 ⁇ A/V 2 .
  • the analog supply voltage VDDA is 3.3 Volts
  • VB 1 and VB 2 are biased so as to provide a constant ISFET drain current I Dj on the order of 5 ⁇ A (in some implementations, VB 1 and VB 2 may be adjusted to provide drain currents from approximately 1 ⁇ A to 20 ⁇ A).
  • the MOSFET Q 6 see bias/readout circuitry 110 j in FIG.
  • W/L channel width to length ratio
  • the passivation layer may be significantly sensitive to the concentration of various ion species, including hydrogen, and may include silicon nitride (Si 3 N 4 ) and/or silicon oxynitride (Si 2 N 2 O).
  • a passivation layer may be formed by one or more successive depositions of these materials, and is employed generally to treat or coat devices so as to protect against contamination and increase electrical stability.
  • a passivation layer including silicon nitride and/or silicon oxynitride also provides ion-sensitivity in ISFET devices, in that the passivation layer contains surface groups that may donate or accept protons from an analyte solution with which they are in contact, thereby altering the surface potential and the device threshold voltage V TH as discussed above in connection with FIGS. 1 and 2A .
  • a silicon nitride and/or silicon oxynitride passivation layer generally is formed via plasma-enhanced chemical vapor deposition (PECVD), in which a glow discharge at 250-350 degrees Celsius ionizes the constituent gases that form silicon nitride or silicon oxynitride, creating active species that react at the wafer surface to form a laminate of the respective materials.
  • PECVD plasma-enhanced chemical vapor deposition
  • a passivation layer having a thickness on the order of approximately 1.0 to 1.5 ⁇ m may be formed by an initial deposition of a thin layer of silicon oxynitride (on the order of 0.2 to 0.4 ⁇ m) followed by a slighting thicker deposition of silicon oxynitride (on the order of 0.5 ⁇ m) and a final deposition of silicon nitride (on the order of 0.5 ⁇ m). Because of the low deposition temperature involved in the PECVD process, the aluminum metallization is not adversely affected.
  • a low-temperature PECVD process provides adequate passivation for conventional CMOS devices
  • the low-temperature process results in a generally low-density and somewhat porous passivation layer, which in some cases may adversely affect ISFET threshold voltage stability.
  • a low-density porous passivation layer over time may absorb and become saturated with ions from the solution, which may in turn cause an undesirable time-varying drift in the ISFETs threshold voltage V TH , making accurate measurements challenging.
  • CMOS process that uses tungsten metal instead of aluminum may be employed to fabricate ISFET arrays according to the present disclosure.
  • the high melting temperature of Tungsten (above 3400 degrees Celsius) permits the use of a higher temperature low pressure chemical vapor deposition (LPCVD) process (e.g., approximately 700 to 800 degrees Celsius) for a silicon nitride or silicon oxynitride passivation layer.
  • LPCVD low pressure chemical vapor deposition
  • the LPCVD process typically results in significantly more dense and less porous films for the passivation layer, thereby mitigating the potentially adverse effects of ion absorption from the analyte solution leading to ISFET threshold voltage drift.
  • the passivation layer 172 shown in FIG. 11A may comprise additional depositions and/or materials beyond those typically employed in a conventional CMOS process.
  • the passivation layer 172 may include initial low-temperature plasma-assisted depositions (PECVD) of silicon nitride and/or silicon oxynitride as discussed above; for purposes of the present discussion, these conventional depositions are illustrated in FIG. 11A as a first portion 172 A of the passivation layer 172 .
  • PECVD initial low-temperature plasma-assisted depositions
  • one or more additional passivation materials are disposed to form at least a second portion 172 B to increase density and reduce porosity of (and absorption by) the overall passivation layer 172 .
  • one additional portion 172 B is shown primarily for purposes of illustration in FIG. 11A , it should be appreciated that the disclosure is not limited in this respect, as the overall passivation layer 172 may comprise two or more constituent portions, in which each portion may comprise one or more layers/depositions of same or different materials, and respective portions may be configured similarly or differently. Regardless of the specific materials, the passivation layer(s) provide chemical isolation between the analyte and the circuitry.
  • Examples of materials suitable for the second portion 172 B (or other additional portions) of the passivation layer 172 include, but are not limited to, silicon nitride, silicon oxynitride, aluminum oxide (Al 2 O 3 ), tantalum oxide (Ta 3 O 5 ), tin oxide (SnO 2 ) and silicon dioxide (SiO 2 ).
  • the second portion 172 B (or other additional portions) may be deposited via a variety of relatively low-temperature processes including, but not limited to, RF sputtering, DC magnetron sputtering, thermal or e-beam evaporation, and ion-assisted depositions.
  • a pre-sputtering etch process may be employed, prior to deposition of the second portion 172 B, to remove any native oxide residing on the first portion 172 A (alternatively, a reducing environment, such as an elevated temperature hydrogen environment, may be employed to remove native oxide residing on the first portion 172 A).
  • a thickness of the second portion 172 B may be on the order of approximately 0.04 ⁇ m to 0.06 ⁇ m (400 to 600 Angstroms) and a thickness of the first portion may be on the order of 1.0 to 1.5 ⁇ m, as discussed above.
  • the first portion 172 A may include multiple layers of silicon oxynitride and silicon nitride having a combined thickness of 1.0 to 1.5 ⁇ m
  • the second portion 172 B may include a single layer of either aluminum oxide or tantalum oxide having a thickness of approximately 400 to 600 Angstroms.
  • the chemFET arrays described herein may be used to detect and/or measure various analytes and, by doing so, may monitor a variety of reactions and/or interactions. It is also to be understood that the discussion herein relating to hydrogen ion detection (in the form of a pH change) is for the sake of convenience and brevity and that static or dynamic levels/concentrations of other analytes (including other ions) can be substituted for hydrogen in these descriptions. In particular, sufficiently fast concentration changes of any one or more of various ion species present in the analyte may be detected via the transient or dynamic response of a chemFET, as discussed above in connection with FIG. 2A .
  • the chemFETs including ISFETs, described herein are capable of detecting any analyte that is itself capable of inducing a change in electric field when in contact with or otherwise sensed or detected by the chemFET surface.
  • the analyte need not be charged in order to be detected by the sensor.
  • the analyte may be positively charged (i.e., a cation), negatively charged (i.e., an anion), zwitterionic (i.e., capable of having two equal and opposite charges but being neutral overall), and polar yet neutral.
  • This list is not intended as exhaustive as other analyte classes as well as species within each class will be readily contemplated by those of ordinary skill in the art based on the disclosure provided herein.
  • the passivation layer may or may not be coated and the analyte may or may not interact directly with the passivation layer.
  • the passivation layer and/or the layers and/or molecules coated thereon dictate the analyte specificity of the array readout.
  • Detection of hydrogen ions, and other analytes as determined by the invention can be carried out using a passivation layer made of silicon nitride (Si 3 N 4 ), silicon oxynitride (Si 2 N 2 O), silicon oxide (SiO 2 ), aluminum oxide (Al 2 O 3 ), tantalum pentoxide (Ta 2 O 5 ), tin oxide or stannic oxide (SnO 2 ), and the like.
  • the passivation layer can also detect other ion species directly including but not limited to calcium, potassium, sodium, iodide, magnesium, chloride, lithium, lead, silver, cadmium, nitrate, phosphate, dihydrogen phosphate, and the like.
  • the passivation layer is coated with a receptor for the analyte of interest.
  • the receptor binds selectively to the analyte of interest or in some instances to a class of agents to which the analyte belongs.
  • a receptor that binds selectively to an analyte is a molecule that binds preferentially to that analyte (i.e., its binding affinity for that analyte is greater than its binding affinity for any other analyte).
  • binding affinity for the analyte of interest may be 2-fold, 3-fold, 4-fold, 5-fold, 6-fold, 7-fold, 8-fold, 9-fold, 10-fold, 15-fold, 20-fold, 25-fold, 30-fold, 40-fold, 50-fold, 100-fold or more than its binding affinity for any other analyte.
  • the receptor In addition to its relative binding affinity, the receptor must also have an absolute binding affinity that is sufficiently high to efficiently bind the analyte of interest (i.e., it must have a sufficient sensitivity).
  • Receptors having binding affinities in the picomolar to micromolar range are suitable. Preferably such interactions are reversible.
  • the receptor may be of any nature (e.g., chemical, nucleic acid, peptide, lipid, combinations thereof and the like).
  • the analyte too may be of any nature provided there exists a receptor that binds to it selectively and in some instances specifically. It is to be understood however that the invention further contemplates detection of analytes in the absence of a receptor. An example of this is the detection of PPi and Pi by the passivation layer in the absence of PPi or Pi receptors.
  • the invention contemplates receptors that are ionophores.
  • an ionophore is a molecule that binds selectively to an ionic species, whether anion or cation.
  • the ionophore is the receptor and the ion to which it binds is the analyte.
  • Ionophores of the invention include art-recognized carrier ionophores (i.e., small lipid-soluble molecules that bind to a particular ion) derived from microorganisms.
  • Various ionophores are commercially available from sources such as Calbiochem.
  • Detection of some ions can be accomplished through the use of the passivation layer itself or through the use of receptors coated onto the passivation layer.
  • potassium can be detected selectively using polysiloxane, valinomycin, or salinomycin
  • sodium can be detected selectively using monensin, nystatin, or SQI-Pr
  • calcium can be detected selectively using ionomycin, calcimycine (A23187), or CA 1001 (ETH 1001).
  • Receptors able to bind more than one ion can also be used in some instances.
  • beauvericin can be used to detect calcium and/or barium ions
  • nigericin can be used to detect potassium, hydrogen and/or lead ions
  • gramicidin can be used to detect hydrogen, sodium and/or potassium ions.
  • receptors that bind multiple species of a particular genus may also be useful in some embodiments including those in which only one species within the genus will be present or in which the method does not require distinction between species.
  • receptors for neurotoxins are described in Simonian Electroanalysis 2004, 16: 1896-1906.
  • receptors that bind selectively to PPi can be used.
  • PPi receptors include those compounds shown in FIGS. 11 B( 1 )-( 3 ) (compounds 1-10).
  • Compound 1 is described in Angew, Chem Int (Ed 2004) 43:4777-4780 and US 2005/0119497 A1 and is referred to as p-naphthyl-bis[(bis(2-pyridylmethyl)amino)methyl]phenol.
  • Compound 2 is described in J Am Chem Soc 2003 125:7752-7753 and US 2005/0119497 A1 and is referred to as p-(p-nitrophenylazo)-bis[bis(2-pyridylmethyl-1)amino)methyl]phenol (or its dinuclear Zn complex). Synthesis schemes for compounds 1 and 2 are shown provided in US 2005/0119497 A 1. Compound 3 is described in by Lee et al. Organic Letters 2007 9(2):243-246, and Sensors and Actuators B1995 29:324-327. Compound 4 is described in Angew, Chem Int (Ed 2002) 41(20):3811-3814. Exemplary syntheses for compounds 7, 8 and 9 are shown in FIGS.
  • Compound 5 is described in WO 2007/002204 and is referred to therein as bis-Zn 2+ -dipicolylamine (Zn 2+ -DPA).
  • Compound 6 is illustrated in FIG. 11 B( 3 ) bound to PPi. (McDonough et al. Chem. Commun. 2006 2971-2973.) Attachment of compound 7 to a metal oxide surface is shown in FIG. 11E .
  • Receptors may be attached to the passivation layer covalently or non-covalently. Covalent attachment of a receptor to the passivation layer may be direct or indirect (e.g., through a linker).
  • FIGS. 11 D( 1 ) and ( 2 ) illustrate the use of silanol chemistry to covalently bind receptors to the passivation layer. Receptors may be immobilized on the passivation layer using for example aliphatic primary amines (bottom left panel) or aryl isothiocyanates (bottom right panel).
  • the passivation layer which itself may be comprised of silicon nitride, aluminum oxide, silicon oxide, tantalum pentoxide, or the like, is bonded to a silanation layer via its reactive surface groups.
  • silanol chemistry for covalent attachment to the FET surface, reference can be made to at least the following publications: for silicon nitride, see Sensors and Actuators B 1995 29:324-327, Jpn J Appl Phys 1999 38:3912-3917 and Langmuir 2005 21:395-402; for silicon oxide, see Protein Sci 1995 4:2532-2544 and Am Biotechnol Lab 2002 20(7):16-18; and for aluminum oxide, see Colloids and Surfaces 1992 63:1-9, Sensors and Actuators B 2003 89:40-47, and Bioconjugate Chem 1997 8:424-433.
  • the receptor is then conjugated to the silanation layer reactive groups. This latter binding can occur directly or indirectly through the use of a bifunctional link
  • a bifunctional linker is a compound having at least two reactive groups to which two entities may be bound. In some instances, the reactive groups are located at opposite ends of the linker.
  • the bifunctional linker is a universal bifunctional linker such as that shown in FIGS. 11 D( 1 ) and ( 2 ).
  • a universal linker is a linker that can be used to link a variety of entities. It should be understood that the chemistries shown in FIGS. 11 D( 1 ) and ( 2 ) are meant to be illustrative and not limiting.
  • the bifunctional linker may be a homo-bifunctional linker or a hetero-bifunctional linker, depending upon the nature of the molecules to be conjugated.
  • Homo-bifunctional linkers have two identical reactive groups.
  • Hetero-bifunctional linkers are have two different reactive groups.
  • Various types of commercially available linkers are reactive with one or more of the following groups: primary amines, secondary amines, sulphydryls, carboxyls, carbonyls and carbohydrates.
  • amine-specific linkers are bis(sulfosuccinimidyl)suberate, bis[2-(succinimidooxycarbonyloxy)ethyl]sulfone, disuccinimidyl suberate, disuccinimidyl tartarate, dimethyl adipimate.2HCl, dimethyl pimelimidate.2HCl, dimethyl suberimidate.2HCl, and ethylene glycolbis-[succinimidyl-[succinate]].
  • Linkers reactive with sulfhydryl groups include bismaleimidohexane, 1,4-di-[3′-(2′-pyridyldithio)-propionamido)]butane, 1-[p-azidosalicylamido]-4-[iodoacetamido]butane, and N-[4-(p-azidosalicylamido) butyl]-3′-[2′-pyridyldithio]propionamide.
  • Linkers preferentially reactive with carbohydrates include azidobenzoyl hydrazine.
  • Linkers preferentially reactive with carboxyl groups include 4-[p-azidosalicylamido]butylamine.
  • Heterobifunctional linkers that react with amines and sulfhydryls include N-succinimidyl-3-[2-pyridyldithio]propionate, succinimidyl[4-iodoacetyl]aminobenzoate, succinimidyl 4 -[N-maleimidomethyl]cyclohexane-1-carboxylate, m-maleimidobenzoyl-N-hydroxysuccinimide ester, sulfosuccinimidyl 6-[3-[2-pyridyldithio]propionamido]hexanoate, and sulfosuccinimidyl 4-[N-maleimidomethyl]cyclohexane-1-carboxylate.
  • Heterobifunctional linkers that react with carboxyl and amine groups include 1-ethyl-3-[3-dimethylaminopropyl]-carbodiimide hydrochloride.
  • Heterobifunctional linkers that react with carbohydrates and sulfhydryls include 4-[N-maleimidomethyl]-cyclohexane-1-carboxylhydrazide.2HCl, 4-(4-N-maleimidophenyl)-butyric acid hydrazide.2HCl, and 3-[2-pyridyldithio]propionyl hydrazide.
  • receptors may be non-covalently coated onto the passivation layer.
  • Non-covalent deposition of the receptor onto the passivation layer may involve the use of a polymer matrix.
  • the polymer may be naturally occurring or non-naturally occurring and may be of any type including but not limited to nucleic acid (e.g., DNA, RNA, PNA, LNA, and the like, or mimics, derivatives, or combinations thereof), amino acid (e.g., peptides, proteins (native or denatured), and the like, or mimics, derivatives, or combinations thereof, lipids, polysaccharides, and functionalized block copolymers.
  • the receptor may be adsorbed onto and/or entrapped within the polymer matrix. The nature of the polymer will depend on the nature of the receptor being used and/or analyte being detected.
  • the receptor may be covalently conjugated or crosslinked to the polymer (e.g., it may be “grafted” onto a functionalized polymer).
  • poly-lysine e.g., poly-L-lysine
  • polymers include block copolymers that comprise polyethylene glycol (PEG), polyamides, polycarbonates, polyalkylenes, polyalkylene glycols, polyalkylene oxides, polyalkylene terepthalates, polyvinyl alcohols, polyvinyl ethers, polyvinyl esters, polyvinyl halides, polyvinylpyrrolidone, polyglycolides, polysiloxanes, polyurethanes, alkyl cellulose, hydroxyalkyl celluloses, cellulose ethers, cellulose esters, nitrocelluloses, polymers of acrylic and methacrylic esters, methyl cellulose, ethyl cellulose, hydroxypropyl cellulose, hydroxypropyl methyl cellulose, hydroxybutyl methyl cellulose, cellulose acetate, cellulose propionate, cellulose acetate butyrate,
  • PEG polyethylene glycol
  • polyamides
  • ISFET threshold voltage stability and/or predictability involves trapped charge that may accumulate (especially) on metal layers of CMOS-fabricated devices as a result of various processing activities during or following array fabrication (e.g., back-end-of-line processing such as plasma metal etching, wafer cleaning, dicing, packaging, handling, etc.).
  • trapped charge may in some instances accumulate on one or more of the various conductors 304 , 306 , 308 , 312 , 316 , 320 , 326 , 338 , and 164 constituting the ISFETs floating gate structure 170 . This phenomenon also is referred to in the relevant literature as the “antenna effect.”
  • One opportunity for trapped charge to accumulate includes plasma etching of the topmost metal layer 304 .
  • Other opportunities for charge to accumulate on one or more conductors of the floating gate structure or other portions of the FETs includes wafer dicing, during which the abrasive process of a dicing saw cutting through a wafer generates static electricity, and/or various post-processing wafer handling/packaging steps, such as die-to-package wire bonding, where in some cases automated machinery that handles/transports wafers may be sources of electrostatic discharge (ESD) to conductors of the floating gate structure.
  • ESD electrostatic discharge
  • inventive embodiments of the present disclosure are directed to methods and apparatus for improving ISFET performance by reducing trapped charge or mitigating the antenna effect.
  • trapped charge may be reduced after a sensor array has been fabricated, while in other embodiments the fabrication process itself may be modified to reduce trapped charge that could be induced by some conventional process steps.
  • both “during fabrication” and “post fabrication” techniques may be employed in combination to reduce trapped charge and thereby improve ISFET performance.
  • the thickness of the gate oxide 165 shown in FIG. 11A may be particularly selected so as to facilitate bleeding of accumulated charge to the substrate; in particular, a thinner gate oxide may allow a sufficient amount of built-up charge to pass through the gate oxide to the substrate below without becoming trapped.
  • a pixel may be designed to include an additional “sacrificial” device, i.e., another transistor having a thinner gate oxide than the gate oxide 165 of the ISFET.
  • the floating gate structure of the ISFET may then be coupled to the gate of the sacrificial device such that it serves as a “charge bleed-off transistor.”
  • a charge bleed-off transistor may be coupled to the gate of the sacrificial device such that it serves as a “charge bleed-off transistor.”
  • the topmost metal layer 304 of the ISFETs floating gate structure 170 shown in FIG. 11A may be capped with a dielectric prior to plasma etching to mitigate trapped charge.
  • charge accumulated on the floating gate structure may in some cases be coupled from the plasma being used for metal etching.
  • a photoresist is applied over the metal to be etched and then patterned based on the desired geometry for the underlying metal.
  • a capping dielectric layer e.g., an oxide
  • the capping dielectric layer may remain behind and form a portion of the passivation layer 172 .
  • the metal etch process for the topmost metal layer 304 may be modified to include wet chemistry or ion-beam milling rather than plasma etching.
  • the metal layer 304 could be etched using an aqueous chemistry selective to the underlying dielectric (e.g., see website for Transene relating to aluminum, which is hereby incorporated herein by reference).
  • Another alternative approach employs ion-milling rather than plasma etching for the metal layer 304 . Ion-milling is commonly used to etch materials that cannot be readily removed using conventional plasma or wet chemistries. The ion-milling process does not employ an oscillating electric field as does a plasma, so that charge build-up does not occur in the metal layer(s).
  • Yet another metal etch alternative involves optimizing the plasma conditions so as to reduce the etch rate (i.e. less power density).
  • architecture changes may be made to the metal layer to facilitate complete electrical isolation during definition of the floating gate.
  • designing the metal stack-up so that the large area ISFET floating gate is not connected to anything during its final definition may require a subsequent metal layer serving as a “jumper” to realize the electrical connection to the floating gate of the transistor. This “jumper” connection scheme prevents charge flow from the large floating gate to the transistor.
  • step v) need not be done, as the ISFET architecture according to some embodiments discussed above leaves the M 4 passivation in place over the M 4 floating gate. In one aspect, removal may nonetheless improve ISFET performance in other ways (i.e. sensitivity). In any case, the final sensitive passivation layer may be a thin sputter-deposited ion-sensitive metal-oxide layer. It should be appreciated that the over-layer jumpered architecture discussed above may be implemented in the standard CMOS fabrication flow to allow any of the first three metal layers to be used as the floating gates (i.e. M 1 , M 2 or M 3 ).
  • a “forming gas anneal” may be employed as a post-fabrication process to mitigate potentially adverse effects of trapped charge.
  • CMOS-fabricated ISFET devices are heated in a hydrogen and nitrogen gas mixture.
  • the hydrogen gas in the mixture diffuses into the gate oxide 165 and neutralizes certain forms of trapped charges.
  • the forming gas anneal need not necessarily remove all gate oxide damage that may result from trapped charges; rather, in some cases, a partial neutralization of some trapped charge is sufficient to significantly improve ISFET performance.
  • ISFETs may be heated for approximately 30 to 60 minutes at approximately 400 to 425 degrees Celsius in a hydrogen/nitrogen mixture that includes 10% to 15% hydrogen.
  • annealing at 425 degrees Celsius at 30 minutes in a hydrogen/nitrogen mixture that includes 10% hydrogen is observed to be particularly effective at improving ISFET performance.
  • the temperature of the anneal should be kept at or below 450 degrees Celsius to avoid damaging the aluminum metallurgy.
  • the forming gas anneal is performed after wafers of fabricated ISFET arrays are diced, so as to ensure that damage due to trapped charge induced by the dicing process itself, and/or other pre-dicing processing steps (e.g., plasma etching of metals) may be effectively ameliorated.
  • the forming gas anneal may be performed after die-to-package wirebonding to similarly ameliorate damage due to trapped charge.
  • a diced array chip is typically in a heat and chemical resistant ceramic package, and low-tolerance wirebonding procedures as well as heat-resistant die-to-package adhesives may be employed to withstand the annealing procedure.
  • the invention encompasses a method for manufacturing an array of FETs, each having or coupled to a floating gate having a trapped charge of zero or substantially zero comprising: fabricating a plurality of FETs in a common semiconductor substrate, each of a plurality of which is coupled to a floating gate; applying a forming gas anneal to the semiconductor prior to a dicing step; dicing the semiconductor; and applying a forming gas anneal to the semiconductor after the dicing step.
  • the semiconductor substrate comprises at least 100,000 FETs.
  • the plurality of FETs are chemFETs.
  • the method may further comprise depositing a passivation layer on the semiconductor, depositing a polymeric, glass, ion-reactively etchable or photodefineable material layer on the passivation layer and etching the polymeric, glass ion-reactively etchable or photodefineable material to form an array of reaction chambers in the glass layer.
  • ESD electrostatic discharge
  • anti-static dicing tape may be employed to hold wafer substrates in place (e.g., during the dicing process).
  • high-resistivity (e.g., 10 M ⁇ ) deionized water conventionally is employed in connection with cooling of dicing saws
  • less resistive/more conductive water may be employed for this purpose to facilitate charge conduction via the water; for example, deionized water may be treated with carbon dioxide to lower resistivity and improve conduction of charge arising from the dicing process.
  • conductive and grounded die-ejection tools may be used during various wafer dicing/handling/packaging steps, again to provide effective conduction paths for charge generated during any of these steps, and thereby reduce opportunities for charge to accumulate on one or more conductors of the floating gate structure of respective ISFETs of an array.
  • the gate oxide region of an ISFET may be irradiated with UV radiation.
  • an optional hole or window 302 is included during fabrication of an ISFET array in the top metal layer 304 of each pixel of the array, proximate to the ISFET floating gate structure. This window is intended to allow UV radiation, when generated, to enter the ISFETs gate region; in particular, the various layers of the pixel 105 1 , as shown in FIGS. 11 and 12 A-L, are configured such that UV radiation entering the window 302 may impinge in an essentially unobstructed manner upon the area proximate to the polysilicon gate 164 and the gate oxide 165 .
  • silicon nitride and silicon oxynitride generally need to be employed in the passivation layer 172 shown in FIG. 11A , as silicon nitride and silicon oxynitride significantly absorb UV radiation.
  • these materials need to be substituted with others that are appreciably transparent to UV radiation, examples of which include, but are not limited to, phososilicate glass (PSG) and boron-doped phososilicate glass (BPSG).
  • PSG phososilicate glass
  • BPSG boron-doped phososilicate glass
  • PSG and BPSG are not impervious to hydrogen and hydroxyl ions; accordingly, to be employed in a passivation layer of an ISFET designed for pH sensitivity, PSG and BPSG may be used together with an ion-impervious material that is also significantly transparent to UV radiation, such as aluminum oxide (Al 2 O 3 ), to form the passivation layer.
  • an ion-impervious material that is also significantly transparent to UV radiation, such as aluminum oxide (Al 2 O 3 ), to form the passivation layer.
  • PSG or BPSG may be employed as a substitute for silicon nitride or silicon oxynitride in the first portion 172 A of the passivation layer 172 , and a thin layer (e.g., 400 to 600 Angstroms) of aluminum oxide may be employed in the second portion 172 B of the passivation layer 172 (e.g., the aluminum oxide may be deposited using a post-CMOS lift-off lithography process).
  • each ISFET of a sensor array must be appropriately biased during a UV irradiation process to facilitate reduction of trapped charge.
  • high energy photons from the UV irradiation impinging upon the bulk silicon region 160 in which the ISFET conducting channel is formed, create electron-hole pairs which facilitate neutralization of trapped charge in the gate oxide as current flows through the ISFETs conducting channel.
  • an array controller discussed further below in connection with FIG. 17 , generates appropriate signals for biasing the ISFETs of the array during a UV irradiation process.
  • each of the signals RowSel 1 through RowSel n is generated so as to enable/select (i.e., turn on) all rows of the sensor array at the same time and thereby couple all of the ISFETs of the array to respective controllable current sources 106 ; in each column. With all pixels of each column simultaneously selected, the current from the current source 106 j of a given column is shared by all pixels of the column.
  • the bias voltage VB 1 for all of the controllable current sources 106 j is set such that each pixel's ISFET conducts approximately 1 ⁇ A of current.
  • the array With the ISFET array thusly biased, the array then is irradiated with a sufficient dose of UV radiation (e.g., from an EPROM eraser generating approximately 20 milliWatts/cm 2 of radiation at a distance of approximately one inch from the array for approximately 1 hour). After irradiation, the array may be allowed to rest and stabilize over several hours before use for measurements of chemical properties such as ion concentration.
  • an aspect of the invention encompasses a floating gate having a surface area of about 4 ⁇ m 2 to about 50 ⁇ m 2 having baseline threshold voltage and preferably a trapped charge of zero or substantially zero.
  • the FETs are chemFETs.
  • the trapped charge should be kept to a level that does not cause appreciable variations from FET to FET across the array, as that would limit the dynamic range of the devices, consistency of measurements, and otherwise adversely affect performance.
  • FIG. 13 illustrates a block diagram of an exemplary CMOS IC chip implementation of an ISFET sensor array 100 based on the column and pixel designs discussed above in connection with FIGS. 9-12 , according to one embodiment of the present disclosure.
  • the array 100 includes 512 columns 102 1 through 102 512 with corresponding column bias/readout circuitry 110 1 through 110 512 (one for each column, as shown in FIG. 9 ), wherein each column includes 512 geometrically square pixels 105 1 through 105 512 , each having a size of approximately 9 micrometers by 9 micrometers (i.e., the array is 512 columns by 512 rows).
  • the entire array may be fabricated on a semiconductor die as an application specific integrated circuit (ASIC) having dimensions of approximately 7 millimeters by 7 millimeters. While an array of 512 by 512 pixels is shown in the embodiment of FIG. 13 , it should be appreciated that arrays may be implemented with different numbers of rows and columns and different pixel sizes according to other embodiments, as discussed further below in connection with FIGS. 19-23 .
  • ASIC application specific integrated circuit
  • arrays according to various embodiments of the present invention may be fabricated according to conventional CMOS fabrications techniques, as well as modified CMOS fabrication techniques (e.g., to facilitate realization of various functional aspects of the chemFET arrays discussed herein, such as additional deposition of passivation materials, process steps to mitigate trapped charge, etc.) and other semiconductor fabrication techniques beyond those conventionally employed in CMOS fabrication.
  • various lithography techniques may be employed as part of an array fabrication process. For example, in one exemplary implementation, a lithography technique may be employed in which appropriately designed blocks are “stitched” together by overlapping the edges of a step and repeat lithography exposures on a wafer substrate by approximately 0.2 micrometers.
  • the maximum die size typically is approximately 21 millimeters by 21 millimeters.
  • the first and last two columns 102 1 , 102 2 , 102 511 and 102 512 , as well as the first two pixels 105 1 and 105 2 and the last two pixels 105 511 and 105 512 of each of the columns 102 3 through 102 510 may be configured as “reference” or “dummy” pixels 103 .
  • the topmost metal layer 304 of each dummy pixel's ISFET (coupled ultimately to the ISFETs polysilicon gate 164 ) is tied to the same metal layer of other dummy pixels and is made accessible as a terminal of the chip, which in turn may be coupled to a reference voltage VREF.
  • the reference voltage VREF also may be applied to the bias/readout circuitry of respective columns of the array.
  • preliminary test/evaluation data may be acquired from the array based on applying the reference voltage VREF and selecting and reading out dummy pixels, and/or reading out columns based on the direct application of VREF to respective column buffers (e.g., via the CAL signal), to facilitate offset determination (e.g., pixel-to-pixel and column-to-column variances) and array calibration.
  • offset determination e.g., pixel-to-pixel and column-to-column variances
  • the array may be fabricated to include an additional two rows/columns of reference pixels surrounding a perimeter of a 512 by 512 region of active pixels, such that the total size of the array in terms of actual pixels is 516 by 516 pixels.
  • arrays of various sizes and configurations are contemplated by the present disclosure, it should be appreciated that the foregoing concept may be applied to any of the other array embodiments discussed herein. For purposes of the discussion immediately below regarding the exemplary array 100 shown in FIG. 13 , a total pixel count for the array of 512 by 512 pixels is considered.
  • various power supply and bias voltages required for array operation are provided to the array via electrical connections (e.g., pins, metal pads) and labeled for simplicity in block 195 as “supply and bias connections.”
  • the array 100 of FIG. 13 also includes a row select shift register 192 , two sets of column select shift registers 194 1,2 and two output drivers 198 1 and 198 2 to provide two parallel array output signals, Vout 1 and Vout 2 , representing sensor measurements (i.e., collections of individual output signals generated by respective ISFETs of the array).
  • an array controller as discussed further below in connection with FIG. 17 , which also reads the array output signals Vout 1 and Vout 2 (and other optional status/diagnostic signals) from the array 100 .
  • the array output signals Vout 1 and Vout 2 and other optional status/diagnostic signals
  • configuring the array such that multiple regions (e.g., multiple columns) of the array may be read at the same time via multiple parallel array output signals (e.g., Vout 1 and Vout 2 ) facilitates increased data acquisition rates, as discussed further below in connection with FIGS. 17 and 18 . While FIG.
  • arrays according to the present disclosure may be configured to have only one measurement signal output, or more than two measurement signal outputs; in particular, as discussed further below in connection with FIGS. 19-23 , more dense arrays according to other inventive embodiments may be configured to have four our more parallel measurement signal outputs and simultaneously enable different regions of the array to provide data via the four or more outputs.
  • FIG. 14 illustrates the row select shift register 192
  • FIG. 15 illustrates one of the column select shift registers 194 2
  • FIG. 16 illustrates one of the output drivers 198 2 of the array 100 shown in FIG. 13 , according to one exemplary implementation.
  • the row and column select shift registers are implemented as a series of D-type flip-flops coupled to a digital circuitry positive supply voltage VDDD and a digital supply ground VSSD.
  • a data signal is applied to a D-input of first flip-flop in each series and a clock signal is applied simultaneously to a clock input of all of the flip-flops in the series.
  • the row select shift register 192 includes 512 D-type flip-flops, in which a first flip-flop 193 receives a vertical data signal DV and all flip-flops receive a vertical clock signal CV.
  • a “Q” output of the first flip-flop 193 provides the first row select signal RowSel 1 and is coupled to the D-input of the next flip-flop in the series.
  • the Q outputs of successive flip-flops are coupled to the D-inputs of the next flip-flop in the series and provide the row select signals RowSel 2 through RowSel 512 with successive falling edge transitions of the vertical clock signal CV, as discussed further below in connection with FIG. 18 .
  • the last row select signal RowSel 512 also may be taken as an optional output of the array 100 as the signal LSTV (Last STage Vertical), which provides an indication (e.g., for diagnostic purposes) that the last row of the array has been selected. While not shown explicitly in FIG.
  • each of the row select signals RowSel 1 through RowSel 512 is applied to a corresponding inverter, the output of which is used to enable a given pixel in each column (as illustrated in FIG. 9 by the signals RowSel 1 through RowSel n ).
  • each column select shift register comprising 256 series-connected flip-flops and responsible for enabling readout from either the odd columns of the array or the even columns of the array.
  • FIG. 15 illustrates the column select shift register 194 2 , which is configured to enable readout from all of the even numbered columns of the array in succession via the column select signals ColSel 2 , ColSel 4 , . . . .
  • ColSel 512 whereas another column select shift register 194 1 is configured to enable readout from all of the odd numbered columns of the array in succession (via column select signals ColSel 1 , ColSel 3 , . . . . Col Sel 511 ). Both column select shift registers are controlled simultaneously by the horizontal data signal DH and the horizontal clock signal CH to provide the respective column select signals, as discussed further below in connection with FIG. 18 . As shown in FIG. 15 , the last column select signal ColSel 512 also may be taken as an optional output of the array 100 as the signal LSTH (Last STage Horizontal), which provides an indication (e.g., for diagnostic purposes) that the last column of the array has been selected.
  • LSTH Last STage Horizontal
  • an implementation for array row and column selection based on shift registers is a significant improvement to the row and column decoder approach employed in various prior art ISFET array designs, including the design of Milgrew et al. shown in FIG. 7 .
  • the complexity of implementing these components in an integrated circuit array design increases dramatically as the size of the array is increased, as additional inputs to both decoders are required. For example, an array having 512 rows and columns as discussed above in connection with FIG.
  • the “odd” column select shift register 194 1 provides odd column select signals to an “odd” output driver 198 1 and the even column select shift register 194 2 provides even column select signals to an “even” output driver 198 2 .
  • Both output drivers are configured similarly, and an example of the even output driver 198 2 is shown in FIG. 16 .
  • FIG. 16 shows that respective even column output signals V COL2 , V COL4 , . . . V COL512 (refer to FIG. 9 for the generic column signal output V COLj ) are applied to corresponding switches 191 2 , 191 4 , . . .
  • the buffer amplifier 199 receives power from an output buffer positive supply voltage VDDO and an output buffer supply ground VSSO, and is responsive to an output buffer bias voltage VBO 0 to set a corresponding bias current for the buffer output.
  • a current sink 197 responsive to a bias voltage.
  • VB 3 is coupled to the bus 175 to provide an appropriate drive current (e.g., on the order of approximately 100 ⁇ A) for the output of the column output buffer (see the buffer amplifier 111 j of FIG. 9 ) of a selected column.
  • the buffer amplifier 199 provides the output signal Vout 2 based on the selected even column of the array; at the same time, with reference to FIG. 13 , a corresponding buffer amplifier of the “odd” output driver 198 1 provides the output signal Vout 1 based on a selected odd column of the array.
  • the switches of both the even and odd output drivers 198 1 and 198 2 may be implemented as CMOS-pair transmission gates (including an n-channel MOSFET and a p-channel MOSFET; see FIG. 4 ), and inverters may be employed so that each column select signal and its complement may be applied to a given transmission gate switch 191 to enable switching.
  • Each switch 191 has a series resistance when enabled or “on” to couple a corresponding column output signal to the bus 175 ; likewise, each switch adds a capacitance to the bus 175 when the switch is off.
  • a larger switch reduces series resistance and allows a higher drive current for the bus 175 , which generally allows the bus 175 to settle more quickly; on the other hand, a larger switch increases capacitance of the bus 175 when the switch is off, which in turn increases the settling time of the bus 175 .
  • switch series resistance and capacitance in connection with switch size.
  • the ability of the bus 175 to settle quickly following enabling of successive switches in turn facilitates rapid data acquisition from the array.
  • the switches 191 of the output drivers 198 1 and 198 2 are particularly configured to significantly reduce the settling time of the bus 175 .
  • Both the n-channel and the p-channel MOSFETs of a given switch add to the capacitance of the bus 175 ; however, n-channel MOSFETs generally have better frequency response and current drive capabilities than their p-channel counterparts.
  • n-channel MOSFETs may be exploited to improve settling time of the bus 175 by implementing “asymmetric” switches in which respective sizes for the n-channel MOSFET and p-channel MOSFET of a given switch are different.
  • the current sink 197 may be configured such that the bus 175 is normally “pulled down” when all switches 191 2 , 191 4 , . . . 191 512 are open or off (not conducting).
  • the bus 175 is normally “pulled down” when all switches 191 2 , 191 4 , . . . 191 512 are open or off (not conducting).
  • the n-channel MOSFET and the p-channel MOSFET of each switch 191 are sized differently; namely, in one exemplary implementation, the n-channel MOSFET is sized to be significantly larger than the p-channel MOSFET. More specifically, considering equally-sized n-channel and p-channel MOSFETs as a point of reference, in one implementation the n-channel MOSFET may be increased to be about 2 to 2.5 times larger, and the p-channel MOSFET may be decreased in size to be about 8 to 10 times smaller, such that the n-channel MOSFET is approximately 20 times larger than the p-channel MOSFET.
  • the overall capacitance of the switch in the off state is notably reduced, and there is a corresponding notable reduction in capacitance for the bus 175 ; at the same time, due to the larger n-channel MOSFET, there is a significant increase in current drive capability, frequency response and transconductance of the switch, which in turn results in a significant reduction in settling time of the bus 175 .
  • the converse may be implemented, namely, asymmetric switches in which the p-channel MOSFET is larger than the n-channel MOSFET.
  • the current sink 197 may alternatively serve as a source of current to appropriately drive the output of the column output buffer (see the buffer amplifier 111 j of FIG. 9 ) of a selected column, and be configured such that the bus 175 is normally “pulled up” when all switches 191 2 , 191 4 , . . .
  • more than two output drivers 198 1 and 198 2 may be employed in the ISFET array 100 such that each output driver handles a smaller number of columns of the array.
  • the array may include four column select registers 194 1,2,3,4 and four corresponding output drivers 198 1,2,3,4 such that each output driver handles one-fourth of the total columns of the array, rather than one-half of the columns.
  • each output driver would accordingly have half the number of switches 191 as compared with the embodiment discussed above in connection with FIG. 16 , and the bus 175 of each output driver would have a corresponding lower capacitance, thereby improving bus settling time. While four output drivers are discussed for purposes of illustration in this example, it should be appreciated that the present disclosure is not limited in this respect, and virtually any number of output drivers greater than two may be employed to improve bus settling time in the scenario described above. Other array embodiments in which more than two output drivers are employed to facilitate rapid data acquisition from the array are discussed in greater detail below (e.g., in connection with FIGS. 19-23 ).
  • the bus 175 may have a capacitance in the range of approximately 5 pF to 20 pF in any of the embodiments discussed immediately above (e.g. symmetric switches, asymmetric switches, greater numbers of output drivers, etc.).
  • the capacitance of the bus 175 is not limited to these exemplary values, and that other capacitance values are possible in different implementations of an array according to the present disclosure.
  • VDDA, VSSA analog supply voltage connections
  • digital supply voltage connections for VDDD, VSSD
  • output buffer supply voltage connections for VDDO, VSSO
  • the positive supply voltages VDDA, VDDD and VDDO each may be approximately 3.3 Volts. In another aspect, these voltages respectively may be provided “off chip” by one or more programmable voltage sources, as discussed further below in connection with FIG. 17 .
  • FIG. 17 illustrates a block diagram of the sensor array 100 of FIG. 13 coupled to an array controller 250 , according to one inventive embodiment of the present disclosure.
  • the array controller 250 may be fabricated as a “stand alone” controller, or as one or more computer compatible “cards” forming part of a computer 260 , as discussed above in connection with FIG. 8 .
  • the functions of the array controller 250 may be controlled by the computer 260 through an interface block 252 (e.g., serial interface, via USB port or PCI bus, Ethernet connection, etc.), as shown in FIG. 17 .
  • an interface block 252 e.g., serial interface, via USB port or PCI bus, Ethernet connection, etc.
  • all or a portion of the array controller 250 is fabricated as one or more printed circuit boards, and the array 100 is configured to plug into one of the printed circuit boards, similar to a conventional IC chip (e.g., the array 100 is configured as an ASIC that plugs into a chip socket, such as a zero-insertion-force or “ZIF” socket, of a printed circuit board).
  • an array 100 configured as an ASIC may include one or more pins/terminal connections dedicated to providing an identification code, indicated as “ID” in FIG. 17 , that may be accessed/read by the array controller 250 and/or passed on to the computer 260 .
  • Such an identification code may represent various attributes of the array 100 (e.g., size, number of pixels, number of output signals, various operating parameters such as supply and/or bias voltages, etc.) and may be processed to determine corresponding operating modes, parameters and or signals provided by the array controller 250 to ensure appropriate operation with any of a number of different types of arrays 100 .
  • an array 100 configured as an ASIC may be provided with three pins dedicated to an identification code, and during the manufacturing process the ASIC may be encoded to provide one of three possible voltage states at each of these three pins (i.e., a tri-state pin coding scheme) to be read by the array controller 250 , thereby providing for 27 unique array identification codes.
  • all or portions of the array controller 250 may be implemented as a field programmable gate array (FPGA) configured to perform various array controller functions described in further detail below.
  • FPGA field programmable gate array
  • the array controller 250 provides various supply voltages and bias voltages to the array 100 , as well as various signals relating to row and column selection, sampling of pixel outputs and data acquisition.
  • the array controller 250 reads one or more analog output signals (e.g., Vout 1 and Vout 2 ) including multiplexed respective pixel voltage signals from the array 100 and then digitizes these respective pixel signals to provide measurement data to the computer 260 , which in turn may store and/or process the data.
  • the array controller 250 also may be configured to perform or facilitate various array calibration and diagnostic functions, and an optional array UV irradiation treatment as discussed above in connection with FIG. 11A .
  • the array controller 250 generally provides to the array 100 the analog supply voltage and ground (VDDA, VSSA), the digital supply voltage and ground (VDDD, VSSD), and the buffer output supply voltage and ground (VDDO, VSSO).
  • VDDA, VSSA analog supply voltage and ground
  • VDDD, VSSD digital supply voltage and ground
  • VDDO, VSSO buffer output supply voltage and ground
  • each of the supply voltages VDDA, VDDD and VDDO is approximately 3.3 Volts.
  • the supply voltages VDDA, VDDD and VDDO may be as low as approximately 1.8 Volts.
  • each of these power supply voltages is provided to the array 100 via separate conducting paths to facilitate noise isolation.
  • these supply voltages may originate from respective power supplies/regulators, or one or more of these supply voltages may originate from a common source in a power supply 258 of the array controller 250 .
  • the power supply 258 also may provide the various bias voltages required for array operation (e.g., VB 1 , VB 2 , VB 3 , VB 4 , VBO 0 , V BODY ) and the reference voltage VREF used for array diagnostics and calibration.
  • the power supply 258 includes one or more digital-to-analog converters (DACs) that may be controlled by the computer 260 to allow any or all of the bias voltages, reference voltage, and supply voltages to be changed under software control (i.e., programmable bias settings).
  • DACs digital-to-analog converters
  • a power supply 258 responsive to computer control may facilitate adjustment of one or more of the supply voltages (e.g., switching between 3.3 Volts and 1.8 Volts depending on chip type as represented by an identification code), and or adjustment of one or more of the bias voltages VB 1 and VB 2 for pixel drain current, VB 3 for column bus drive, VB 4 for column amplifier bandwidth, and VBO 0 for column output buffer current drive.
  • one or more bias voltages may be adjusted to optimize settling times of signals from enabled pixels.
  • the common body voltage V BODY for all ISFETs of the array may be grounded during an optional post-fabrication UV irradiation treatment to reduce trapped charge, and then coupled to a higher voltage (e.g., VDDA) during diagnostic analysis, calibration, and normal operation of the array for measurement/data acquisition.
  • VDDA a higher voltage
  • the reference voltage VREF may be varied to facilitate a variety of diagnostic and calibration functions.
  • the reference electrode 76 which is typically employed in connection with an analyte solution to be measured by the array 100 (as discussed above in connection with FIG. 1 ), may be coupled to the power supply 258 to provide a reference potential for the pixel output voltages.
  • the reference electrode 76 may be coupled to a supply ground (e.g., the analog ground VSSA) to provide a reference for the pixel output voltages based on Eq. (3) above.
  • the reference electrode voltage may be set by placing a solution/sample of interest having a known pH level in proximity to the sensor array 100 and adjusting the reference electrode voltage until the array output signals Vout 1 and Vout 2 provide pixel voltages at a desired reference level, from which subsequent changes in pixel voltages reflect local changes in pH with respect to the known reference pH level.
  • a voltage associated with the reference electrode 76 need not necessarily be identical to the reference voltage VREF discussed above (which may be employed for a variety of array diagnostic and calibration functions), although in some implementations the reference voltage VREF provided by the power supply 258 may be used to set the voltage of the reference electrode 76 .
  • the array controller 250 of FIG. 17 may include one or more preamplifiers 253 to further buffer one or more output signals (e.g., Vout 1 and Vout 2 ) from the sensor array and provide selectable gain.
  • the array controller 250 may include one preamplifier for each output signal (e.g., two preamplifiers for two analog output signals).
  • the preamplifiers may be configured to accept input voltages from 0.0 to 1.8 Volts or 0.0 to 3.3 Volts, may have programmable/computer selectable gains (e.g., 1, 2, 5, 10 and 20) and low noise outputs (e.g., ⁇ 10 nV/sqrtHz), and may provide low pass filtering (e.g., bandwidths of 5 MHz and 25 MHz).
  • programmable/computer selectable gains e.g., 1, 2, 5, 10 and 20
  • low noise outputs e.g., ⁇ 10 nV/sqrtHz
  • filtering capacitors may be employed in proximity to the chip socket (e.g., the underside of a ZIF socket) to facilitate noise reduction.
  • the preamplifiers may have a programmable/computer selectable offset for input and/or output voltage signals to set a nominal level for either to a desired range.
  • the array controller 250 of FIG. 17 also comprises one or more analog-to-digital converters 254 (ADCs) to convert the sensor array output signals Vout 1 and Vout 2 to digital outputs (e.g., 10-bit or 12-bit) so as to provide data to the computer 260 .
  • ADC analog-to-digital converters 254
  • one ADC may be employed for each analog output of the sensor array, and each ADC may be coupled to the output of a corresponding preamplifier (if preamplifiers are employed in a given implementation).
  • the ADC(s) may have a computer-selectable input range (e.g., 50 mV, 200 mV, 500 mV, 1V) to facilitate compatibility with different ranges of array output signals and/or preamplifier parameters.
  • the bandwidth of the ADC(s) may be greater than 60 MHz, and the data acquisition/conversion rate greater than 25 MHz (e.g., as high as 100 MHz or greater).
  • ADC acquisition timing and array row and column selection may be controlled by a timing generator 256 .
  • the timing generator provides the digital vertical data and clock signals (DV, CV) to control row selection, the digital horizontal data and clock signals (DH, CH) to control column selection, and the column sample and hold signal COL SH to sample respective pixel voltages for an enabled row, as discussed above in connection with FIG. 9 .
  • the timing generator 256 also provides a sampling clock signal CS to the ADC(s) 254 so as to appropriately sample and digitize consecutive pixel values in the data stream of a given array analog output signal (e.g., Vout 1 and Vout 2 ), as discussed further below in connection with FIG. 18 .
  • the timing generator 256 may be implemented by a microprocessor executing code and configured as a multi-channel digital pattern generator to provide appropriately timed control signals.
  • the timing generator 256 may be implemented as a field-programmable gate array (FPGA).
  • FIG. 18 illustrates an exemplary timing diagram for various array control signals, as provided by the timing generator 256 , to acquire pixel data from the sensor array 100 .
  • a “frame” is defined as a data set that includes a value (e.g., pixel output signal or voltage V S ) for each pixel in the array
  • a “frame rate” is defined as the rate at which successive frames may be acquired from the array.
  • the frame rate corresponds essentially to a “pixel sampling rate” for each pixel of the array, as data from any given pixel is obtained at the frame rate.
  • an exemplary frame rate of 20 frames/sec is chosen to illustrate operation of the array (i.e., row and column selection and signal acquisition); however, it should be appreciated that arrays and array controllers according to the present disclosure are not limited in this respect, as different frame rates, including lower frame rates (e.g., 1 to 10 frames/second) or higher frame rates (e.g., 25, 30, 40, 50, 60, 70 to 100 frames/sec., etc.), with arrays having the same or higher numbers of pixels, are possible.
  • a data set may be acquired that includes many frames over several seconds to conduct an experiment on a given analyte or analytes. Several such experiments may be performed in succession, in some cases with pauses in between to allow for data transfer/processing and/or washing of the sensor array ASIC and reagent preparation for a subsequent experiment.
  • a hydrogen ion signal may have a full-width at half-maximum (FWHM) on the order of approximately 1 second to approximately 2.5 seconds, depending on the number of nucleotide incorporation events.
  • FWHM full-width at half-maximum
  • a frame rate (or pixel sampling rate) of 20 Hz is sufficient to reliably resolve the signals in a given pixel's output signal.
  • the frame rates given in this example are provided primarily for purposes of illustration, and different frame rates may be involved in other implementations.
  • the array controller 250 controls the array 100 to enable rows successively, one at a time. For example, with reference again for the moment to FIG. 9 , a first row of pixels is enabled via the row select signal RowSel 1 . The enabled pixels are allowed to settle for some time period, after which the COL SH signal is asserted briefly to close the sample/hold switch in each column and store on the column's sample/hold capacitor C sh the voltage value output by the first pixel in the column. This voltage is then available as the column output voltage V COLj applied to one of the two (odd and even column) array output drivers 198 1 and 198 2 (e.g., see FIG. 16 ).
  • the COL SH signal is then de-asserted, thereby opening the sample/hold switches in each column and decoupling the column output buffer 111 j from the column amplifiers 107 A and 107 B.
  • the second row of pixels is enabled via the row select signal RowSel 2 .
  • the column select signals are generated two at a time (one odd and one even; odd column select signals are applied in succession to the odd output driver, even column select signals are applied in succession to the even output driver) to read the column output voltages associated with the first row.
  • RowSel 2 the row select signals are generated two at a time (one odd and one even; odd column select signals are applied in succession to the odd output driver, even column select signals are applied in succession to the even output driver) to read the column output voltages associated with the first row.
  • FIG. 18 illustrates the timing details of the foregoing process for an exemplary frame rate of 20 frames/sec. Given this frame rate and 512 rows in the array, each row must be read out in approximately 98 microseconds, as indicated by the vertical delineations in FIG. 18 . Accordingly, the vertical clock signal CV has a period of 98 microseconds (i.e., a clock frequency of over 10 kHz), with a new row being enabled on a trailing edge (negative transition) of the CV signal.
  • the vertical data signal DV is asserted before a first trailing edge of the CV signal and de-asserted before the next trailing edge of the CV signal (for data acquisition from successive frames, the vertical data signal is reasserted again only after row 512 is enabled).
  • the COL SH signal is asserted for 2 microseconds, leaving approximately 50 nanoseconds before the trailing edge of the CV signal.
  • the first occurrence of the COL SH signal is actually sampling the pixel values of row 512 of the array.
  • the first row is enabled and allowed to settle (for approximately 96 microseconds) until the second occurrence of the COL SH signal.
  • the pixel values of row 512 are read out via the column select signals. Because two column select signals are generated simultaneously to read 512 columns, the horizontal clock signal CH must generate 256 cycles within this period, each trailing edge of the CH signal generating one odd and one even column select signal. As shown in FIG.
  • the first trailing edge of the CH signal in a given row is timed to occur two microseconds after the selection of the row (after deactivation of the COL SH signal) to allow for settling of the voltage values stored on the sample/hold capacitors C sh and provided by the column output buffers.
  • the time period between the first trailing edge of the CH signal and a trailing edge (i.e., deactivation) of the COL SH signal may be significantly less than two microseconds, and in some cases as small as just over 50 nanoseconds.
  • the horizontal data signal DH is asserted before the first trailing edge of the CH signal and de-asserted before the next trailing edge of the CH signal.
  • the last two columns e.g., 511 and 512
  • 512 columns are read, two at a time, within a time period of approximately 94 microseconds (i.e., 98 microseconds per row, minus two microseconds at the beginning and end of each row). This results in a data rate for each of the array output signals Vout 1 and Vout 2 of approximately 2.7 MHz.
  • FIG. 18A illustrates another timing diagram of a data acquisition process from an array 100 that is slightly modified from the timing diagram of FIG. 18 .
  • an array similar to that shown in FIG. 13 may be configured to include a region of 512 by 512 “active” pixels that are surrounded by a perimeter of reference pixels (i.e., the first and last two rows and columns of the array), resulting in an array having a total pixel count of 516 by 516 pixels.
  • each row must be read out in approximately 97 microseconds, as indicated by the vertical delineations in FIG. 18A .
  • the vertical clock signal CV has a slightly smaller period of 97 microseconds. Because two column select signals are generated simultaneously to read 516 columns, the horizontal clock signal CH must generate 258 cycles within this period, as opposed to the 256 cycles referenced in connection with FIG. 18 . Accordingly, in one aspect illustrated in FIG. 18A , the first trailing edge of the CH signal in a given row is timed to occur just over 50 nanoseconds from the trailing edge (i.e., deactivation) of the COL SH signal, so as to “squeeze” additional horizontal clock cycles into a slightly smaller period of the vertical clock signal CV. As in FIG.
  • the horizontal data signal DH is asserted before the first trailing edge of the CH signal, and as such also occurs slightly earlier in the timing diagram of FIG. 18A as compared to FIG. 18 .
  • the last two columns i.e., columns 515 and 516 , labeled as “Ref 3 , 4 in FIG. 18A ) are selected before the occurrence of the COL SH signal which, as discussed above, occurs approximately two microseconds before the next row is enabled.
  • 516 columns are read, two at a time, within a time period of approximately 95 microseconds (i.e., 97 microseconds per row, minus two microseconds at the end of each row and negligible time at the beginning of each row). This results in essentially the same data rate for each of the array output signals Vout 1 and Vout 2 provided by the timing diagram of FIG. 18 , namely, approximately 2.7 MHz.
  • the timing generator 256 also generates the sampling clock signal CS to the ADC(s) 254 so as to appropriately sample and digitize consecutive pixel values in the data stream of a given array output signal.
  • the sampling clock signal CS provides for sampling a given pixel value in the data stream at least once.
  • the signal CS may essentially track the timing of the horizontal clock signal CH; in particular, the sampling clock signal CS may be coordinated with the horizontal clock signal CH so as to cause the ADC(s) to sample a pixel value immediately prior to a next pixel value in the data stream being enabled by CH, thereby allowing for as much signal settling time as possible prior to sampling a given pixel value.
  • the ADC(s) may be configured to sample an input pixel value upon a positive transition of CS, and respective positive transitions of CS may be timed by the timing generator 256 to occur immediately prior to, or in some cases essentially coincident with, respective negative transitions of CH, so as to sample a given pixel just prior to the next pixel in the data stream being enabled.
  • the ADC(s) 254 may be controlled by the timing generator 256 via the sampling clock signal CS to sample the output signals Vout 1 and Vout 2 at a significantly higher rate to provide multiple digitized samples for each pixel measurement, which may then be averaged (e.g., the ADC data acquisition rate may be approximately 100 MHz to sample the 2.7 MHz array output signals, thereby providing as many as approximately 35-40 samples per pixel measurement).
  • the computer 260 may be programmed to process pixel data obtained from the array 100 and the array controller 250 so as to facilitate high data acquisition rates that in some cases may exceed a sufficient settling time for pixel voltages represented in a given array output signal.
  • a flow chart illustrating an exemplary method according to one embodiment of the present invention that may be implemented by the computer 260 for processing and correction of array data acquired at high acquisition rates is illustrated in FIG. 18B .
  • the computer 260 is programmed to first characterize a sufficient settling time for pixel voltages in a given array output signal, as well as array response at appreciably high operating frequencies, using a reference or “dry” input to the array (e.g., no analyte present). This characterization forms the basis for deriving correction factors that are subsequently applied to data obtained from the array at the high operating frequencies and in the presence of an analyte to be measured.
  • a given array output signal (e.g., Vout 2 in FIG. 16 ) includes a series of pixel voltage values resulting from the sequential operation of the column select switches 191 to apply respective column voltages V COLj via the bus 175 to the buffer amplifier 199 (the respective column voltages V COLj in turn represent buffered versions of ISFET source voltages V Sj ).
  • Vout 2 the respective column voltages V COLj in turn represent buffered versions of ISFET source voltages V Sj .
  • FIGS. 18C and 18D illustrate exemplary pixel voltages in a given array output signal Vout (e.g., one of Vout 1 and Vout 2 ) showing pixel-to-pixel transitions in the output signal as a function of time, plotted against exemplary sampling clock signals CS.
  • the sampling clock signal CS has a period 524
  • an ADC controlled by CS samples a pixel voltage upon a positive transition of CS (as discussed above, in one implementation CS and CH have essentially a same period).
  • FIG. 18C indicates two samples 525 A and 525 B, between which an exponential voltage transition 522 corresponding to ⁇ V PIX (t), between a voltage difference A, may be readily observed.
  • FIG. 18D conceptually illustrates a pixel settling time t settle (reference numeral 526 ) for a single voltage transition 522 between two pixel voltages having a difference A, using a sampling clock signal CS having a sufficiently long period so as to allow for full settling.
  • a maximum value for A representing a maximum range for pixel voltage transitions (e.g., consecutive pixels at minimum and maximum values)
  • n p of the array output signal is taken as approximately 100 ⁇ V
  • the time constant k is taken as 5 nanoseconds.
  • a settling time of 40 nanoseconds corresponds to maximum data rate of 25 MHz.
  • A may be on the order of 20 mV and the time constant k may be on the order of 15 nanoseconds, resulting in a settling time t settle of approximately 80 nanoseconds and a maximum data rate of 12.5 MHz.
  • the values of k indicated above generally correspond to capacitances for the bus 175 in a range of approximately 5 pF to 20 pF.
  • arrays according to various embodiment of the present invention may have different pixel settling times t settle (e.g., in some cases less than 40 nanoseconds).
  • FIG. 18B illustrates a flow chart for such a method according to one inventive embodiment of the present disclosure.
  • sufficiently slow clock frequencies initially are chosen for the signals CV, CH and CS such that the resulting data rate per array output signal is equal to or lower than the reciprocal of the pixel settling time t settle to allow for fully settled pixel voltage values from pixel to pixel in a given output signal.
  • clock frequencies as indicated in block 502 of FIG.
  • settled pixel voltage values are then acquired for the entire array in the absence of an analyte (or in the presence of a reference analyte) to provide a first “dry” or reference data image for the array.
  • a transition value between the pixel's final voltage and the final voltage of the immediately preceding pixel in the corresponding output signal data stream i.e., the voltage difference A
  • the collection of these transition values for all pixels of the array provides a first transition value data set.
  • the clock frequencies for the signals CV, CH and CS are increased such that the resulting data rate per array output signal exceeds a rate at which pixel voltage values are fully settled (i.e., a data rate higher than the reciprocal of the settling time t settle ).
  • the data rate per array output signal resulting from the selection of such increased clock frequencies for the signals CV, CH and CS is referred to as an “overspeed data rate.”
  • pixel voltage values are again obtained for the entire array in the absence of an analyte (or in the presence of the same reference analyte) to provide a second “dry” or reference data image for the array.
  • a second transition value data set based on the second data image obtained at the overspeed data rate is calculated and stored, as described above for the first data image.
  • a correction factor for each pixel of the array is calculated based on the values stored in the first and second transition value data sets.
  • a correction factor for each pixel may be calculated as a ratio of its transition value from the first transition value data set and its corresponding transition value from the second transition value data set (e.g., the transition value from the first data set may be divided by the transition value from the second data set, or vice versa) to provide a correction factor data set which is then stored.
  • a correction factor for each pixel may be calculated as a ratio of its transition value from the first transition value data set and its corresponding transition value from the second transition value data set (e.g., the transition value from the first data set may be divided by the transition value from the second data set, or vice versa) to provide a correction factor data set which is then stored.
  • this correction factor data set may then be employed to process pixel data obtained from the array operated at clock frequencies corresponding to the overspeed data rate, in the presence of an actual analyte to be measured; in particular, data obtained from the array at the overspeed data rate in the presence of an analyte may be multiplied or divided as appropriate by the correction factor data set (e.g., each pixel multiplied or divided by a corresponding correction factor) to obtain corrected data representative of the desired analyte property to be measured (e.g., ion concentration). It should be appreciated that once the correction factor data set is calculated and stored, it may be used repeatedly to correct multiple frames of data acquired from the array at the overspeed data rate.
  • the timing generator 256 may be configured to facilitate various array calibration and diagnostic functions, as well as an optional UV irradiation treatment. To this end, the timing generator may utilize the signal LSTV indicating the selection of the last row of the array and the signal LSTH to indicate the selection of the last column of the array. The timing generator 256 also may be responsible for generating the CAL signal which applies the reference voltage VREF to the column buffer amplifiers, and generating the UV signal which grounds the drains of all ISFETs in the array during a UV irradiation process (see FIG. 9 ).
  • the timing generator also may provide some control function over the power supply 258 during various calibration and diagnostic functions, or UV irradiation, to appropriately control supply or bias voltages; for example, during UV irradiation, the timing generator may control the power supply to couple the body voltage V BODY to ground while the UV signal is activated to ground the ISFET drains.
  • the timing generator may receive specialized programs from the computer 260 to provide appropriate control signals.
  • the computer 260 may use various data obtained from reference and/or dummy pixels of the array, as well as column information based on the application of the CAL signal and the reference voltage VREF, to determine various calibration parameters associated with a given array and/or generate specialized programs for calibration and diagnostic functions.
  • FIGS. 19-23 illustrate block diagrams of alternative CMOS IC chip implementations of ISFET sensor arrays having greater numbers of pixels, according to yet other inventive embodiments.
  • each of the ISFET arrays discussed further below in connection with FIGS. 19-23 may be controlled by an array controller similar to that shown in FIG. 17 , in some cases with minor modifications to accommodate higher numbers of pixels (e.g., additional preamplifiers 253 and analog-to-digital converters 254 ).
  • FIG. 19 illustrates a block diagram of an ISFET sensor array 100 A based on the column and pixel designs discussed above in connection with FIGS. 9-12 and a 0.35 micrometer CMOS fabrication process, according to one inventive embodiment.
  • the array 100 A includes 2048 columns 102 1 through 102 2048 , wherein each column includes 2048 geometrically square pixels 105 1 through 105 2048 , each having a size of approximately 9 micrometers by 9 micrometers.
  • the array includes over four million pixels (>4 Mega-pixels) and, in one exemplary implementation, the complete array (ISFET pixels and associated circuitry) may be fabricated as an integrated circuit chip having dimensions of approximately 20.5 millimeters by 20.5 millimeters.
  • the array 100 A may be configured, at least in part, as multiple groups of pixels that may be respectively controlled.
  • each column of pixels may be divided into top and bottom halves, and the collection of pixels in respective top halves of columns form a first group 400 1 of rows (e.g., a top group, rows 1 - 1024 ) and the collection of pixels in respective bottom halves of columns form a second group 400 2 of rows (e.g., a bottom group, rows 1025 - 2048 ).
  • each of the first and second (e.g., top and bottom) groups of rows is associated with corresponding row select registers, column bias/readout circuitry, column select registers, and output drivers.
  • pixel selection and data acquisition from each of the first and second groups of rows 400 1 and 400 2 is substantially similar to pixel selection and data acquisition from the entire array 100 shown in FIG. 13 ; stated differently, in one aspect, the array 100 A of FIG. 19 substantially comprises two simultaneously controlled “sub-arrays” of different pixel groups to provide for significantly streamlined data acquisition from higher numbers of pixels.
  • FIG. 19 shows that row selection of the first group 400 1 of rows may be controlled by a first row select register 192 1
  • row selection of the second group 400 2 of rows may be controlled by a second row select register 192 2
  • each of the row select registers 192 1 and 192 2 may be configured as discussed above in connection with FIG. 14 to receive vertical clock (CV) and vertical data (DV) signals and generate row select signals in response; for example the first row select register 192 1 may generate the signals RowSel 1 through RowSel 1024 and the second row select register 192 2 may generate the signals RowSel 1025 through RowSel 2048 .
  • both row select registers 192 1 and 192 2 may simultaneously receive common vertical clock and data signals, such that two rows of the array are enabled at any given time, one from the top group and another from the bottom group.
  • the array 100 A of FIG. 19 further comprises column bias/readout circuitry 110 1T - 110 2048T (for the first row group 400 1 ) and 110 1B - 110 2048B (for the second row group 400 2 ), such that each column includes two instances of the bias/readout circuitry 110 j shown in FIG. 9 .
  • the array 100 A also comprises two column select registers 192 1,2 (odd and even) and two output drivers 198 1,2 (odd and even) for the second row group 400 2 , and two column select registers 192 3,4 (odd and even) and two output drivers 198 3,4 (odd and even) for the first row group 400 , (i.e., a total of four column select registers and four output drivers).
  • the column select registers receive horizontal clock signals (CHT and CHB for the first row group and second row group, respectively) and horizontal data signals (DHT and DHB for the first row group and second row group, respectively) to control odd and even column selection.
  • the CHT and CHB signals may be provided as common signals, and the DHT and DHB may be provided as common signals, to simultaneously read out four columns at a time from the array (i.e., one odd and one even column from each row group); in particular, as discussed above in connection with FIGS. 13-18 , two columns may be simultaneously read for each enabled row and the corresponding pixel voltages provided as two output signals.
  • the array 100 A may provide four simultaneous output signals Vout 1 , Vout 2 , Vout 3 and Vout 4 .
  • each of the array output signals Vout 1 , Vout 2 , Vout 3 and Vout 4 has a data rate of approximately 23 MHz.
  • data may be acquired from the array 100 A of FIG. 19 at frame rates other than 20 frames/sec (e.g., 50-100 frames/sec).
  • the array 100 A of FIG. 19 may include multiple rows and columns of dummy or reference pixels 103 around a perimeter of the array to facilitate preliminary test/evaluation data, offset determination an/or array calibration. Additionally, various power supply and bias voltages required for array operation (as discussed above in connection with FIG. 9 ) are provided to the array 100 A in block 195 , in a manner similar to that discussed above in connection with FIG. 13 .
  • FIG. 20 illustrates a block diagram of an ISFET sensor array 100 B based on a 0.35 micrometer CMOS fabrication process and having a configuration substantially similar to the array 100 A discussed above in FIG. 19 , according to yet another inventive embodiment. While the array 100 B also is based generally on the column and pixel designs discussed above in connection with FIGS. 9-12 , the pixel size/pitch in the array 100 B is smaller than that of the pixel shown in FIG. 10 . In particular, with reference again to FIGS. 10 and 11 , the dimension “e” shown in FIG. 10 is substantially reduced in the embodiment of FIG.
  • FIG. 20 without affecting the integrity of the active pixel components disposed in the central region of the pixel, from approximately 9 micrometers to approximately 5 micrometers; similarly, the dimension “f” shown in FIG. 10 is reduced from approximately 7 micrometers to approximately 4 micrometers. Stated differently, some of the peripheral area of the pixel surrounding the active components is substantially reduced with respect to the dimensions given in connection with FIG. 10 , without disturbing the top-view and cross-sectional layout and design of the pixel's active components as shown in FIGS. 10 and 11 .
  • a top view of such a pixel 105 A is shown in FIG. 20A , in which the dimension “e” is 5.1 micrometers and the dimension “f” is 4.1 micrometers.
  • fewer body connections B are included in the pixel 105 A (e.g., one at each corner of the pixel) as compared to the pixel shown in FIG. 10 , which includes several body connections B around the entire perimeter of the pixel.
  • the array 1008 includes 1348 columns 102 1 through 102 1348 , wherein each column includes 1152 geometrically square pixels 105 A 1 through 105 A 1152 , each having a size of approximately 5 micrometers by 5 micrometers.
  • the array includes over 1.5 million pixels (>1.5 Mega-pixels) and, in one exemplary implementation, the complete array (ISFET pixels and associated circuitry) may be fabricated as an integrated circuit chip having dimensions of approximately 9 millimeters by 9 millimeters.
  • the array 100 B of FIG. 20 is divided into two groups of rows 400 1 and 400 2 , as discussed above in connection with FIG. 19 .
  • each of the array output signals Vout 1 , Vout 2 , Vout 3 and Vout 4 has a data rate of approximately 22 MHz.
  • data may be acquired from the array 100 B of FIG. 20 at frame rates other than 50 frames/sec.
  • FIG. 21 illustrates a block diagram of an ISFET sensor array 100 C based on a 0.35 micrometer CMOS fabrication process and incorporating the smaller pixel size discussed above in connection with FIGS. 20 and 20A (5.1 micrometer square pixels), according to yet another embodiment.
  • the array 100 C includes 4000 columns 102 1 through 102 4 , wherein each column includes 3600 geometrically square pixels 105 A 1 through 105 A 3600 , each having a size of approximately 5 micrometers by 5 micrometers.
  • the array includes over 14 million pixels (>14 Mega-pixels) and, in one exemplary implementation, the complete array (ISFET pixels and associated circuitry) may be fabricated as an integrated circuit chip having dimensions of approximately 22 millimeters by 22 millimeters.
  • the array 100 C of FIG. 21 is divided into two groups of rows 400 1 and 400 2 .
  • the array 100 C includes sixteen column select registers and sixteen output drivers to simultaneously read sixteen pixels at a time in an enabled row, such that thirty-two output signals Vout 1 -Vout 32 may be provided from the array 100 C.
  • complete data frames (all pixels from both the first and second row groups 400 1 and 400 2 ) may be acquired at a frame rate of 50 frames/sec, thereby requiring 1800 pairs of rows to be successively enabled for periods of approximately 11 microseconds each.
  • 250 pixels (4000/16) are read out by each column select register/output driver during approximately 7 microseconds (allowing 2 microseconds at the beginning and end of each row).
  • each of the array output signals Vout 1 -Vout 32 has a data rate of approximately 35 MHz.
  • data may be acquired from the array 100 C at frame rates other than 50 frames/sec.
  • CMOS fabrication processes having feature sizes of less than 0.35 micrometers may be employed (e.g., 0.18 micrometer CMOS processing techniques) to fabricate such arrays.
  • ISFET sensor arrays with a pixel size/pitch significantly below 5 micrometers may be fabricated, providing for significantly denser ISFET arrays.
  • FIGS. 1-10 illustrate exemplary arrays discussed above in connection with FIGS. 13-21.
  • FIG. 22 and 23 illustrate respective block diagrams of ISFET sensor arrays 100 D and 100 E according to yet other embodiments based on a 0.18 micrometer CMOS fabrication process, in which a pixel size of 2.6 micrometers is achieved.
  • the pixel design itself is based substantially on the pixel 105 A shown in FIG. 20A , albeit on a smaller scale due to the 0.18 micrometer CMOS process.
  • the array 100 D of FIG. 22 includes 2800 columns 102 1 through 102 2800 , wherein each column includes 2400 geometrically square pixels each having a size of approximately 2.6 micrometers by 2.6 micrometers.
  • the array includes over 6.5 million pixels (>6.5 Mega-pixels) and, in one exemplary implementation, the complete array (ISFET pixels and associated circuitry) may be fabricated as an integrated circuit chip having dimensions of approximately 9 millimeters by 9 millimeters.
  • the array 100 D of FIG. 22 is divided into two groups of rows 400 1 and 400 2 .
  • the array 100 D includes eight column select registers and eight output drivers to simultaneously read eight pixels at a time in an enabled row, such that sixteen output signals Vout 1 -Vout 16 may be provided from the array 100 D.
  • complete data frames (all pixels from both the first and second row groups 400 1 and 400 2 ) may be acquired at a frame rate of 50 frames/sec, thereby requiring 1200 pairs of rows to be successively enabled for periods of approximately 16-17 microseconds each.
  • 350 pixels (2800/8) are read out by each column select register/output driver during approximately 14 microseconds (allowing 1 to 2 microseconds at the beginning and end of each row).
  • each of the array output signals Vout 1 -Vout 16 has a data rate of approximately 25 MHz.
  • data may be acquired from the array 100 D at frame rates other than 50 frames/sec.
  • the array 100 E of FIG. 23 includes 7400 columns 102 1 through 102 7400 , wherein each column includes 7400 geometrically square pixels each having a size of approximately 2.6 micrometers by 2.6 micrometers.
  • the array includes over 54 million pixels (>54 Mega-pixels) and, in one exemplary implementation, the complete array (ISFET pixels and associated circuitry) may be fabricated as an integrated circuit chip having dimensions of approximately 21 millimeters by 21 millimeters.
  • the array 100 E of FIG. 23 is divided into two groups of rows 400 1 and 400 2 .
  • the array 100 E includes thirty-two column select registers and thirty-two output drivers to simultaneously read thirty-two pixels at a time in an enabled row, such that sixty-four output signals Vout 1 -Vout 64 may be provided from the array 100 E.
  • complete data frames (all pixels from both the first and second row groups 400 1 and 400 2 ) may be acquired at a frame rate of 100 frames/sec, thereby requiring 3700 pairs of rows to be successively enabled for periods of approximately 3 microseconds each.
  • 230 pixels (7400/32) are read out by each column select register/output driver during approximately 700 nanoseconds.
  • each of the array output signals Vout 1 -Vout 64 has a data rate of approximately 328 MHz.
  • data may be acquired from the array 100 D at frame rates other than 100 frames/sec.
  • an array pitch of approximately nine (9) micrometers allows an ISFET array including over 256,000 pixels (i.e., a 512 by 512 array), together with associated row and column select and bias/readout electronics, to be fabricated on a 7 millimeter by 7 millimeter semiconductor die, and a similar sensor array including over four million pixels (i.e., a 2048 by 2048 array, over 4 Mega-pixels) to be fabricated on a 21 millimeter by 21 millimeter die.
  • an array pitch of approximately 5 micrometers allows an ISFET array including approximately 1.55 Mega-pixels (i.e., a 1348 by 1152 array) and associated electronics to be fabricated on a 9 millimeter by 9 millimeter die, and an ISFET sensor array including over 14 Mega-pixels and associated electronics on a 22 millimeter by 20 millimeter die.
  • ISFET sensor arrays with a pixel size/pitch significantly below 5 micrometers may be fabricated (e.g., array pitch of 2.6 micrometers or pixel/sensor area of less than 8 or 9 micrometers 2 ), providing for significantly dense ISFET arrays.
  • array pixels employ a p-channel ISFET, as discussed above in connection with FIG. 9 .
  • ISFET arrays according to the present disclosure are not limited in this respect, and that in other embodiments pixel designs for ISFET arrays may be based on an n-channel ISFET.
  • any of the arrays discussed above in connection with FIGS. 13 and 19 - 23 may be implemented with pixels based on n-channel ISFETs.
  • FIG. 24 illustrates the pixel design of FIG. 9 implemented with an n-channel ISFET and accompanying n-channel MOSFETs, according to another inventive embodiment of the present disclosure. More specifically, FIG. 24 illustrates one exemplary pixel 105 1 of an array column (i.e., the first pixel of the column), together with column bias/readout circuitry 110 j , in which the ISFET 150 (Q 1 ) is an n-channel ISFET. Like the pixel design of FIG. 9 , the pixel design of FIG.
  • n row select signals RowSel 1 through RowSel n , logic high active.
  • No transmission gates are required in the pixel of FIG. 24 , and all devices of the pixel are of a “same type,” i.e., n-channel devices.
  • only four signal lines per pixel namely the lines 112 1 , 114 1 , 116 1 and 118 1 , are required to operate the three components of the pixel 105 1 shown in FIG. 24 .
  • the pixel designs of FIG. 9 and FIG. 24 are similar, in that they are both configured with a constant drain current I Dj and a constant drain-to-source voltage V DSj to obtain an output signal V Sj from an enabled pixel.
  • the element 106 j is a controllable current sink coupled to the analog circuitry supply voltage ground VSSA
  • the element 108 j of the bias/readout circuitry 110 j is a controllable current source coupled to the analog positive supply voltage VDDA.
  • the body connection of the ISFET 150 is not tied to its source, but rather to the body connections of other ISFETs of the array, which in turn is coupled to the analog ground VSSA, as indicated in FIG. 24 .
  • FIGS. 25-27 In addition to the pixel designs shown in FIGS. 9 and 24 (based on a constant ISFET drain current and constant ISFET drain-source voltage), alternative pixel designs are contemplated for ISFET arrays, based on both p-channel ISFETs and n-channel ISFETs, according to yet other inventive embodiments of the present disclosure, as illustrated in FIGS. 25-27 . As discussed below, some alternative pixel designs may require additional and/or modified signals from the array controller 250 to facilitate data acquisition. In particular, a common feature of the pixel designs shown in FIGS. 25-27 includes a sample and hold capacitor within each pixel itself, in addition to a sample and hold capacitor for each column of the array. While the alternative pixel designs of FIGS.
  • 25-27 generally include a greater number of components than the pixel designs of FIGS. 9 and 24 , the feature of a pixel sample and hold capacitor enables “snapshot” types of arrays, in which all pixels of an array may be enabled simultaneously to sample a complete frame and acquire signals representing measurements of one or more analytes in proximity to respective ISFETs of the array. In some applications, this may provide for higher data acquisition speeds and/or improved signal sensitivity (e.g., higher signal-to-noise ratio).
  • FIG. 25 illustrates one such alternative design for a single pixel 105 C and associated column circuitry 110 j .
  • the pixel 105 C employs an n-channel ISFET and is based generally on the premise of providing a constant voltage across the ISFET Q 1 based on a feedback amplifier (Q 4 , Q 5 and Q 6 ).
  • transistor Q 4 constitutes the feedback amplifier load, and the amplifier current is set by the bias voltage VB 1 (provided by the array controller).
  • Transistor Q 5 is a common gate amplifier and transistor Q 6 is a common source amplifier.
  • the purpose of feedback amplifier is to hold the voltage across the ISFET Q 1 constant by adjusting the current supplied by transistor Q 3 .
  • Transistor Q 2 limits the maximum current the ISFET Q 1 can draw (e.g., so as to prevent damage from overheating a very large array of pixels). This maximum current is set by the bias voltage VB 2 (also provided by the array controller).
  • power to the pixel 105 C may be turned off by setting the bias voltage VB 2 to 0 Volts and the bias voltage VB 1 to 3.3 Volts. In this manner, the power supplied to large arrays of such pixels may be modulated (turned on for a short time period and then off by the array controller) to obtain ion concentration measurements while at the same time reducing overall power consumption of the array. Modulating power to the pixels also reduces heat dissipation of the array and potential heating of the analyte solution, thereby also reducing any potentially deleterious effects from sample heating.
  • the output of the feedback amplifier (the gate of transistor Q 3 ) is sampled by MOS switch Q 7 and stored on a pixel sample and hold capacitor Csh within the pixel itself.
  • the switch Q 7 is controlled by a pixel sample and hold signal pSH (provided to the array chip by the array controller), which is applied simultaneously to all pixels of the array so as to simultaneously store the readings of all the pixels on their respective sample and hold capacitors.
  • arrays based on the pixel design of FIG. 25 may be considered as “snapshot” arrays, in that a full frame of data is sampled at any given time, rather than sampling successive rows of the array.
  • the pixel values stored on all of the pixel sample and hold capacitors Csh are applied to the column circuitry 110 j one row at a time through source follower Q 8 , which is enabled via the transistor Q 9 in response to a row select signal (e.g., RowSel 1 ).
  • a row select signal e.g., RowSel 1
  • the values stored in the pixel sample and hold capacitors are then in turn stored on the column sample and hold capacitors Csh 2 , as enabled by the column sample and hold signal COL SH, and provided as the column output signal V COLj .
  • FIG. 26 illustrates another alternative design for a single pixel 105 D and associated column circuitry 110 j , according to one embodiment of the present disclosure.
  • the ISFET is shown as a p-channel device.
  • CMOS switches controlled by the signals pSH (pixel sample/hold) and pRST (pixel reset) are closed (these signals are supplied by the array controller).
  • This pulls the source of ISFET (Q 1 ) to the voltage VRST.
  • the switch controlled by the signal pRST is opened, and the source of ISFET Q 1 pulls the pixel sample and hold capacitor Csh to a threshold below the level set by pH.
  • arrays based on the pixel 105 D are “snapshot” type arrays in that all pixels of the array may be operated simultaneously. In one aspect, this design allows a long simultaneous integration time on all pixels followed by a high-speed read out of an entire frame of data.
  • FIG. 27 illustrates yet another alternative design for a single pixel 105 E and associated column circuitry 110 j , according to one embodiment of the present disclosure.
  • the ISFET is shown as a p-channel device.
  • the switches operated by the control signals pl and pRST are briefly closed. This clears the value stored on the sampling capacitor Csh and allows a charge to be stored on ISFET (Q 1 ). Subsequently, the switch controlled by the signal pSH is closed, allowing the charge stored on the ISFET Q 1 to be stored on the pixel sample and hold capacitor Csh.
  • arrays based on the pixel 105 D are “snapshot” type arrays in that all pixels of the array may be operated simultaneously.
  • the interface is configured to facilitate a data rate of approximately 200 MB/sec to the computer 260 , and may include local storage of up to 400 MB or greater.
  • the computer 260 is configured to accept data at a rate of 200 MB/sec, and process the data so as to reconstruct an image of the pixels (e.g., which may be displayed in false-color on a monitor).
  • the computer may be configured to execute a general-purpose program with routines written in C++ or Visual Basic to manipulate the data and display is as desired.
  • the systems described herein when used for sequencing, typically involve a chemFET array supporting reaction chambers, the chemFETs being coupled to an interface capable of executing logic that converts the signals from the chemFETs into sequencing information.
  • the sequencing information obtained from the system may be delivered to a handheld computing device, such as a personal digital assistant.
  • a handheld computing device such as a personal digital assistant.
  • the invention encompasses logic for displaying a complete genome of an organism on a handheld computing device.
  • the invention also encompasses logic adapted for sending data from a chemFET array to a handheld computing device. Any of such logic may be computer-implemented.
  • FIGS. 28A and 28B are provided to assist the reader in beginning to visualize the resulting apparatus in three-dimensions.
  • FIG. 28A shows a group of round cylindrical wells 2810 arranged in an array
  • FIG. 28B shows a group of rectangular cross-section wells 2830 arranged in an array. It will be seen that the wells are separated (isolated) from each other by the material 2840 forming the well walls.
  • Such an array of microwells sits over the above-discussed ISFET array, with one or more ISFETs per well. In the subsequent drawings, when the microwell array is identified, one may picture one of these arrays.
  • Fluidic System Apparatus and Method for Use with High Density Electronic Sensor Arrays
  • the fluid delivery system insofar as possible, not limit the speed of operation of the overall system.
  • each microwell being small enough preferably to receive only one DNA-loaded bead, in connection with which an underlying pixel in the array will provide a corresponding output signal.
  • microwell array involves three stages of fabrication and preparation, each of which is discussed separately: (1) creating the array of microwells to result in a chip having a coat comprising a microwell array layer; (2) mounting of the coated chip to a fluidic interface; and in the case of DNA sequencing, (3) loading DNA-loaded bead or beads into the wells. It will be understood, of course, that in other applications, beads may be unnecessary or beads having different characteristics may be employed.
  • the systems described herein can include an array of microfluidic reaction chambers integrated with a semiconductor comprising an array of chemFETs.
  • the invention encompasses such an array.
  • the reaction chambers may, for example, be formed in a glass, dielectric, photodefineable or etchable material.
  • the glass material may be silicon dioxide.
  • the array comprises at least 100,000 chambers.
  • each reaction chamber has a horizontal width and a vertical depth that has an aspect ratio of about 1:1 or less.
  • the pitch between the reaction chambers is no more than about 10 microns.
  • the above-described array can also be provided in a kit for sequencing.
  • the invention encompasses a kit comprising an array of microfluidic reaction chambers integrated with an array of chemFETs, and one or more amplification reagents.
  • the invention encompasses a sequencing apparatus comprising a dielectric layer overlying a chemFET, the dielectric layer having a recess laterally centered atop the chemFET.
  • the dielectric layer is formed of silicon dioxide.
  • Microwell fabrication may be accomplished in a number of ways. The actual details of fabrication may require some experimentation and vary with the processing capabilities that are available.
  • fabrication of a high density array of microwells involves photo-lithographically patterning the well array configuration on a layer or layers of material such as photoresist (organic or inorganic), a dielectric, using an etching process.
  • the patterning may be done with the material on the sensor array or it may be done separately and then transferred onto the sensor array chip, of some combination of the two.
  • techniques other than photolithography are not to be excluded if they provide acceptable results.
  • FIG. 29 That figure diagrammatically depicts a top view of one corner (i.e., the lower left corner) of the layout of a chip showing an array 2910 of the individual ISFET sensors 2912 on the CMOS die 2914 . Signal lines 2916 and 2918 are used for addressing the array and reading its output.
  • Block 2920 represents some of the electronics for the array, as discussed above, and layer 2922 represents a portion of a wall which becomes part of a microfluidics structure, the flow cell, as more fully explained below; the flow cell is that structure which provides a fluid flow over the microwell array or over the sensor surface directly, if there is no microwell structure.
  • a pattern such as pattern 2922 at the bottom left of FIG. 29 may be formed during the semiconductor processing to form the ISFETs and associated circuitry, for use as alignment marks for locating the wells over the sensor pixels when the dielectric has covered the die's surface.
  • the microwell structure is applied to the die. That is, the microwell structure can be formed right on the die or it may be formed separately and then mounted onto the die, either approach being acceptable.
  • various processes may be used. For example, the entire die may be spin-coated with, for example, a negative photoresist such as Microchem's SU-8 2015 or a positive resist/polyimide such as HD Microsystems HD8820, to the desired height of the microwells.
  • the desired height of the wells (e.g., about 4-12 ⁇ m in the example of one pixel per well, though not so limited as a general matter) in the photoresist layer(s) can be achieved by spinning the appropriate resist at predetermined rates (which can be found by reference to the literature and manufacturer specifications, or empirically), in one or more layers.
  • Well height typically may be selected in correspondence with the lateral dimension of the sensor pixel, preferably for a nominal 1:1-1.5:1 aspect ratio, height:width or diameter. Based on signal-to-noise considerations, there is a relationship between dimensions and the required data sampling rates to achieve a desired level of performance.
  • the individual wells may be generated by placing a mask (e.g., of chromium) over the resist-coated die and exposing the resist to cross-linking (typically UV) radiation. All resist exposed to the radiation (i.e., where the mask does not block the radiation) becomes cross-linked and as a result will form a permanent plastic layer bonded to the surface of the chip (die).
  • a mask e.g., of chromium
  • cross-linking typically UV
  • Unreacted resist i.e., resist in areas which are not exposed, due to the mask blocking the light from reaching the resist and preventing cross-linking
  • a suitable solvent i.e., developer
  • PMEA propyleneglycolmethylethylacetate
  • FIG. 30 shows an example of a layout for a portion of a chromium mask 3010 for a one-sensor-per-well embodiment, corresponding to the portion of the die shown in FIG. 29 .
  • the grayed areas 3012 , 3014 are those that block the UV radiation.
  • the alignment marks in the white portions 3016 on the bottom left quadrant of FIG. 30 , within gray area 3012 are used to align the layout of the wells with the ISFET sensors on the chip surface.
  • the array of circles 3014 in the upper right quadrant of the mask block radiation from reaching the well areas, to leave unreacted resist which can be dissolved in forming the wells.
  • FIG. 31 shows a corresponding layout for the mask 3020 for a 4-sensors-per-well embodiment. Note that the alignment pattern 3016 is still used and that the individual well-masking circles 3014 A in the array 2910 now have twice the diameter as the wells 3014 in FIG. 30 , for accommodating four sensors per well instead of one sensor-per-well.
  • a second layer of resist may be coated on the surface of the chip.
  • This layer of resist may be relatively thick, such as about 400-450 ⁇ m thick, typically.
  • a second mask 3210 ( FIG. 32 ), which also may be of chromium, is used to mask an area 3220 which surrounds the array, to build a collar or wall (or basin, using that term in the geological sense) 3310 of resist which surrounds the active array of sensors on substrate 3312 , as shown in FIG. 33 .
  • the collar is 150 ⁇ m wider than the sensor array, on each side of the array, in the x direction, and 9 ⁇ m wider on each side than the sensor array, in the y direction. Alignment marks on mask 3210 (most not shown) are matched up with the alignment marks on the first layer and the CMOS chip itself.
  • contact lithography of various resolutions and with various etchants and developers may be employed. Both organic and inorganic materials may be used for the layer(s) in which the microwells are formed.
  • the layer(s) may be etched on a chip having a dielectric layer over the pixel structures in the sensor array, such as a passivation layer, or the layer(s) may be formed separately and then applied over the sensor array.
  • the specific choice or processes will depend on factors such as array size, well size, the fabrication facility that is available, acceptable costs, and the like.
  • microwell layer(s) Among the various organic materials which may be used in some embodiments to form the microwell layer(s) are the above-mentioned SU-8 type of negative-acting photoresist, a conventional positive-acting photoresist and a positive-acting photodefineable polyimide. Each has its virtues and its drawbacks, well known to those familiar with the photolithographic art.
  • Contact lithography has its limitations and it may not be the production method of choice to produce the highest densities of wells—i.e., it may impose a higher than desired minimum pitch limit in the lateral directions.
  • Other techniques such as a deep UV step-and-repeat process, are capable of providing higher resolution lithography and can be used to produce small pitches and possibly smaller well diameters.
  • desired specifications e.g., numbers of sensors and wells per chip
  • different techniques may prove optimal.
  • pragmatic factors such as the fabrication processes available to a manufacturer, may motivate the use of a specific fabrication method. While novel methods are discussed, various aspects of the invention are limited to use of these novel methods.
  • the CMOS wafer with the ISFET array will be planarized after the final metallization process.
  • a chemical mechanical dielectric planarization prior to the silicon nitride passivation is suitable. This will allow subsequent lithographic steps to be done on very flat surfaces which are free of back-end CMOS topography.
  • High resolution lithography can then be used to pattern the microwell features and conventional SiO 2 etch chemistries can be used—one each for the bondpad areas and then the microwell areas—having selective etch stops; the etch stops then can be on aluminum bondpads and silicon nitride passivation (or the like), respectively.
  • etch stops then can be on aluminum bondpads and silicon nitride passivation (or the like), respectively.
  • other suitable substitute pattern transfer and etch processes can be employed to render microwells of inorganic materials.
  • a dual-resist “soft-mask” process may be employed, whereby a thin high-resolution deep-UV resist is used on top of a thicker organic material (e.g., cured polyimide or opposite-acting resist).
  • the top resist layer is patterned.
  • the pattern can be transferred using an oxygen plasma reactive ion etch process.
  • This process sequence is sometimes referred to as the “portable conformable mask” (PCM) technique.
  • PCM portable conformable mask
  • a “drill-focusing” technique may be employed, whereby several sequential step-and-repeat exposures are done at different focal depths to compensate for the limited depth of focus (DOF) of high-resolution steppers when patterning thick resist layers.
  • DOE depth of focus
  • This technique depends on the stepper NA and DOF as well as the contrast properties of the resist material.
  • FIG. 33A Another PCM technique may be adapted to these purposes, such as that shown in U.S. patent application publication no. 2006/0073422 by Edwards et al. This is a three-layer PCM process and it is illustrated in FIG. 33A . As shown there, basically six major steps are required to produce the microwell array and the result is quite similar to what contact lithography would yield.
  • a layer of high contrast negative-acting photoresist such as type Shipley InterVia Photodielectric Material 8021 (IV 8021 ) 3322 is spun on the surface of a wafer, which we shall assume to be the wafer providing the substrate 3312 of FIG. 33 (in which the sensor array is fabricated), and a soft bake operation is performed.
  • a blocking anti-reflective coating (BARC) layer 3326 is applied and soft baked.
  • a thin resist layer 3328 is spun on and soft baked, step 3330 , the thin layer of resist being suitable for fine feature definition.
  • the resist layer 3328 is then patterned, exposed and developed, and the BARC in the exposed regions 3329 , not protected any longer by the resist 3328 , is removed, Step 3332 .
  • the BARC layer can now act like a conformal contact mask A blanket exposure with a flooding exposure tool, Step 3334 , cross-links the exposed IV 8021 , which is now shown as distinct from the uncured IV 8021 at 3322 .
  • One or more developer steps 3338 are then performed, removing everything but the cross-linked IV 8021 in regions 3336 . Regions 3336 now constitute the walls of the microwells.
  • ISFET sensor performance i.e. such as signal-to-noise ratio
  • ISFET sensor performance i.e. such as signal-to-noise ratio
  • One way to do so is to place a spacer “bump” within the boundary of the pixel microwell. An example of how this could be rendered would be not etching away a portion of the layer-or-layers used to form the microwell structure (i.e.
  • the bump feature is shown as 3350 in FIG. 33B .
  • An alternative (or additional) non-integrated approach is to load the wells with a layer or two of very small packing beads before loading the DNA-bearing beads.
  • FIG. 33B-1 shows a scanning electron microscope (SEM) image of a cross-section of a portion 3300 A of an array architecture as taught herein.
  • Microwells 3302 A are formed in the TEOS layer 3304 A.
  • the wells extend about 4 ⁇ m into the 6 ⁇ m thick layer.
  • the etched well bottoms on an etch-stop material which may be, for example, an oxide, an organic material or other suitable material known in semiconductor processing for etch-stopping use.
  • a thin layer of etch stop material may be formed on top of a thicker layer of polyimide or other suitable dielectric, such that there is about 2 ⁇ m of etch stop+polyimide between the well bottom and the Metal 4 (M 4 ) layer of the chip in which the extended gate electrode 3308 A is formed for each underlying ISFET in the array.
  • M 4 Metal 4
  • the CMOS metallization layers M 3 , M 2 and M 1 which form lower level interconnects and structures, are shown, with the ISFET channels being formed in the areas indicated by arrows 3310 A.
  • the wells may be formed in either round or square shape. Round wells may improve bead capture and may obviate the need for packing beads at the bottom or top of the wells.
  • the tapered slopes to the sides of the microwells also may be used to advantage.
  • the beads 3320 A if the beads 3320 A have a diameter larger than the bottom span across the wells, but small enough to fit into the mouths of the wells, the beads will be spaced off the bottom of the wells due to the geometric constraints.
  • FIG. 33B-2 illustrates the example of microwells that are square in cross-section as viewed from the top, 4 ⁇ m on a side, with 3.8 ⁇ m diameter beads 3320 A loaded. Experimentally and with some calculation, one may determine suitable bead size and well dimension combinations.
  • FIG. 33B-2 illustrates the example of microwells that are square in cross-section as viewed from the top, 4 ⁇ m on a side, with 3.8 ⁇ m diameter beads 3320 A loaded. Experimentally and with some calculation, one may determine suitable bead size and well dimension combinations.
  • FIG. 33B-2 illustrates the example of microwells that are square in cross-section as viewed from the top, 4
  • 33B-3 shows a portion of one 4 ⁇ m well loaded with a 2.8 ⁇ m diameter bead 3322 A, which obviously is relatively small and falls all the way to the bottom of the well; a 4.0 ⁇ m diameter bead 3324 A which is stopped from reaching the bottom by the sidewall taper of the well; and an intermediate-sized bead 3326 A of 3.6 ⁇ m diameter which is spaced from the well bottom by packing beads 3328 A.
  • bead size has to be carefully matched to the microwell etch taper.
  • microwells can be fabricated by any high aspect ratio photo-definable or etchable thin-film process, that can provide requisite thickness (e.g., about 4-10 ⁇ m).
  • materials believed to be suitable are photosensitive polymers, deposited silicon dioxide, non-photosensitive polymer which can be etched using, for example, plasma etching processes, etc.
  • TEOS and silane nitrous oxide (SILOX) appear suitable.
  • the final structures are similar but the various materials present differing surface compositions that may cause the target biology or chemistry to react differently.
  • etch stop layer When the microwell layer is formed, it may be necessary to provide an etch stop layer so that the etching process does not proceed further than desired. For example, there may be an underlying layer to be preserved, such as a low-K dielectric.
  • the etch stop material should be selected according to the application. SiC and SiN materials may be suitable, but that is not meant to indicate that other materials may not be employed, instead. These etch-stop materials can also serve to enhance the surface chemistry which drives the ISFET sensor sensitivity, by choosing the etch-stop material to have an appropriate point of zero charge (PZC).
  • PZC point of zero charge
  • Various metal oxides may be suitable addition to silicon dioxide and silicon nitride.
  • Ta 2 O 5 may be preferred as an etch stop over Al 2 O 3 because the PZC of Al 2 O 3 is right at the pH being used (i.e., about 8.8) and, hence, right at the point of zero charge.
  • Ta 2 O 5 has a higher sensitivity to pH (i.e., mV/pH), another important factor in the sensor performance. Optimizing these parameters may require judicious selection of passivation surface materials.
  • a post-microwell fabrication metal oxide deposition technique may allow placement of appropriate PZC metal oxide films at the bottom of the high aspect ratio microwells.
  • Electron-beam depositions of of (a) reactively sputtered tantalum oxide, (b) non-reactive stoichiometric tantalum oxide, (c) tungsten oxide, or (d) Vanadium oxide may prove to have superior “down-in-well” coverage due to the superior directionality of the deposition process.
  • the array typically comprises at least 100 microfluidic wells, each of which is coupled to one or more chemFET sensors.
  • the wells are formed in at least one of a glass (e.g., SiO 2 ), a polymeric material, a photodefinable material or a reactively ion etchable thin film material.
  • the wells have a width to height ratio less than about 1:1.
  • the sensor is a field effect transistor, and more preferably a chemFET.
  • the chemFET may optionally be coupled to a PPi receptor.
  • each of the chemFETs occupies an area of the array that is 10 2 microns or less.
  • the invention encompasses a sequencing device comprising a semiconductor wafer device coupled to a dielectric layer such as a glass (e.g., SiO 2 ), polymeric, photodefinable or reactive ion etchable material in which reaction chambers are formed.
  • a dielectric layer such as a glass (e.g., SiO 2 ), polymeric, photodefinable or reactive ion etchable material in which reaction chambers are formed.
  • the glass, dielectric, polymeric, photodefinable or reactive ion etchable material is integrated with the semiconductor wafer layer.
  • the glass, polymeric, photodefinable or reactive ion etchable layer is non-crystalline.
  • the glass may be SiO 2 .
  • the device can optionally further comprise a fluid delivery module of a suitable material such as a polymeric material, preferably an injection moldable material. More preferably, the polymeric layer is polycarbonate.
  • the invention encompasses a method for manufacturing a sequencing device comprising: using photolithography, generating wells in a glass, dielectric, photodefinable or reactively ion etchable material on top of an array of transistors.
  • CMOS complementary metal-oxide-semiconductor
  • the CMOS top metallization layer forming the floating gates of the ISFET array usually is coated with a passivation layer that is about 1.3 ⁇ m thick.
  • Microwells 1.3 ⁇ m deep can be formed by etching away the passivation material. For example, microwells having a 1:1 aspect ratio may be formed, 1.3 ⁇ m deep and 1.3 ⁇ m across at their tops. Modeling indicates that as the well size is reduced, in fact, the DNA concentration, and hence the SNR, increases. So, other factors being equal, such small wells may prove desirable.
  • the process of using the assembly of an array of sensors on a chip combined with an array of microwells to sequence the DNA in a sample is referred to as an “experiment.”
  • Executing an experiment requires loading the wells with the DNA-bound beads and the flowing of several different fluid solutions (i.e., reagents and washes) across the wells.
  • a fluid delivery system e.g., valves, conduits, pressure source(s), etc.
  • a fluidic interface is needed which flows the various solutions across the wells in a controlled even flow with acceptably small dead volumes and small cross contamination between sequential solutions.
  • the fluidic interface to the chip (sometimes referred to as a “flow cell”) would cause the fluid to reach all microwells at the same time.
  • designs will be discussed, meeting these criteria in differing ways and degrees.
  • designs may be categorized by the way the reference electrode is integrated into the arrangement. Depending on the design, the reference electrode may be integrated into the flow cell (e.g., form part of the ceiling of the flow chamber) or be in the flow path (typically to the outlet or downstream side of the flow path, after the sensor array).
  • FIGS. 34-37 A first example of a suitable experiment apparatus 3410 incorporating such a fluidic interface is shown in FIGS. 34-37 , the manufacture and construction of which will be discussed in greater detail below.
  • the apparatus comprises a semiconductor chip 3412 (indicated generally, though hidden) on or in which the arrays of wells and sensors are formed, and a fluidics assembly 3414 on top of the chip and delivering the sample to the chip for reading.
  • the fluidics assembly includes a portion 3416 for introducing fluid containing the sample, a portion 3418 for allowing the fluid to be piped out, and a flow chamber portion 3420 for allowing the fluid to flow from inlet to outlet and along the way interact with the material in the wells.
  • a glass slide 3422 e.g., Erie Microarray Cat #C22-5128-M20 from Erie Scientific Company, Portsmouth, N.H., cut in thirds, each to be of size about 25 mm ⁇ 25 mm).
  • One port (e.g., 3424 ) serves as an inlet delivering liquids from the pumping/valving system described below but not shown here.
  • the second port (e.g., 3426 ) is the outlet which pipes the liquids to waste.
  • Each port connects to a conduit 3428 , 3432 such as flexible tubing of appropriate inner diameter.
  • the nanoports are mounted such that the tubing can penetrate corresponding holes in the glass slide. The tube apertures should be flush with the bottom surface of the slide.
  • flow chamber 3420 may comprise various structures for promoting a substantially laminar flow across the microwell array.
  • a series of microfluidic channels fanning out from the inlet pipe to the edge of the flow chamber may be patterned by contact lithography using positive photoresists such as SU-8 photoresist from MicroChem. Corp. of Newton, Mass. Other structures will be discussed below.
  • the chip 3412 will in turn be mounted to a carrier 3430 , for packaging and connection to connector pins 3432 .
  • a layer of photoresist 3810 is applied to the “top” of the slide (which will become the “bottom” side when the slide and its additional layers is turned over and mounted to the sensor assembly of ISFET array with microwell array on it).
  • Layer 3810 may be about 150 ⁇ m thick in this example, and it will form the primary fluid carrying layer from the end of the tubing in the nanoports to the edge of the sensor array chip.
  • Layer 3810 is patterned using a mask such as the mask 3910 of FIG. 39 (“patterned’ meaning that a radiation source is used to expose the resist through the mask and then the non-plasticized resist is removed).
  • the mask 3910 has radiation-transparent regions which are shown as white and radiation-blocking regions 3920 , which are shown in shading.
  • the radiation-blocking regions are at 3922 - 3928 .
  • the region 3926 will form a channel around the sensor assembly; it is formed about 0.5 mm inside the outer boundary of the mask 3920 , to avoid the edge bead that is typical.
  • the regions 3922 and 3924 will block radiation so that corresponding portions of the resist are removed to form voids shaped as shown.
  • Each of regions 3922 , 3924 has a rounded end dimensioned to receive an end of a corresponding one of the tubes 3428 , 3432 passing through a corresponding nanoport 3424 , 3426 . From the rounded end, the regions 3922 , 3924 fan out in the direction of the sensor array to allow the liquid to spread so that the flow across the array will be substantially laminar.
  • the region 3928 is simply an alignment pattern and may be any suitable alignment pattern or be replaced by a suitable substitute alignment mechanism. Dashed lines on FIG. 38 have been provided to illustrate the formation of the voids 3822 and 3824 under mask regions 3922 and 3924
  • a second layer of photoresist is formed quite separately, not on the resist 3810 or slide 3422 .
  • it is formed on a flat, flexible surface (not shown), to create a peel-off, patterned plastic layer.
  • this second layer of photoresist may be formed using a mask such as mask 4010 , which will leave on the flexible substrate, after patterning, the border under region 4012 , two slits under regions 4014 , 4016 , whose use will be discussed below, and alignment marks produced by patterned regions 4018 and 4022 .
  • the second layer of photoresist is then applied to the first layer of photoresist using one alignment mark or set of alignment marks, let's say produced by pattern 4018 , for alignment of these layers. Then the second layer is peeled from its flexible substrate and the latter is removed.
  • the other alignment mark or set of marks produced by pattern 4022 is used for alignment with a subsequent layer to be discussed.
  • the second layer is preferably about 150 ⁇ m deep and it will cover the fluid-carrying channel with the exception of a slit about 150 ⁇ m long at each respective edge of the sensor array chip, under slit-forming regions 4014 and 4016 .
  • a third patterned layer of photoresist is formed over the second layer, using a mask such as mask 4110 , shown in FIG. 41 .
  • the third layer provides a baffle member under region 4112 which is as wide as the collar 3310 on the sensor chip array (see FIG. 33 ) but about 300 ⁇ m narrower to allow overlap with the fluid-carrying channel of the first layer.
  • the third layer may be about 150 ⁇ m thick and will penetrate the chip collar 3310 , toward the floor of the basin formed thereby, by 150 ⁇ m. This configuration will leave a headspace of about 300 ⁇ m above the wells on the sensor array chip.
  • the liquids are flowed across the wells along the entire width of the sensor array through the 150 ⁇ m slits under 4014 , 4016 .
  • FIG. 36 shows a partial sectional view, in perspective, of the above-described example embodiment of a microfluidics and sensor assembly, also depicted in FIGS. 34 and 35 , enlarged to make more visible the fluid flow path.
  • FIG. 37 A further enlarged schematic of half of the flow path is shown in FIG. 37 .
  • fluid enters via the inlet pipe 3428 in inlet port 3424 .
  • the fluid flows through the flow expansion chamber 3610 formed by mask area 3922 , that the fluid flows over the collar 3310 and then down into the bottom 3320 of the basin, and across the die 3412 with its microwell array.
  • the fluid After passing over the array, the fluid then takes a vertical turn at the far wall of the collar 3310 and flows over the top of the collar to and across the flow concentration chamber 3612 formed by mask area 3924 , exiting via outlet pipe 3432 in outlet port 3426 . Part of this flow, from the middle of the array to the outlet, may be seen also in the enlarged diagrammatic illustration of FIG. 37 , wherein the arrows indicate the flow of the fluid.
  • the fluidics assembly may be secured to the sensor array chip assembly by applying an adhesive to parts of mating surfaces of those two assemblies, and pressing them together, in alignment.
  • the reference electrode may be understood to be a metallization 3710 , as shown in FIG. 37 , at the ceiling of the flow chamber.
  • FIG. 42 Another way to introduce the reference electrode is shown in FIG. 42 .
  • a hole 4210 is provided in the ceiling of the flow chamber and a grommet 4212 (e.g., of silicone) is fitted into that hole, providing a central passage or bore through which a reference electrode 4220 may be inserted.
  • Baffles or other microfeatures may be patterned into the flow channel to promote laminar flow over the microwell array.
  • Achieving a uniform flow front and eliminating problematic flow path areas is desirable for a number of reasons.
  • One reason is that very fast transition of fluid interfaces within the system's flow cell is desired for many applications, particularly gene sequencing.
  • an incoming fluid must completely displace the previous fluid in a short period of time.
  • Uneven fluid velocities and diffusion within the flow cell, as well as problematic flow paths, can compete with this requirement.
  • Simple flow through a conduit of rectangular cross section can exhibit considerable disparity of fluid velocity from regions near the center of the flow volume to those adjacent the sidewalls, one sidewall being the top surface of the microwell layer and the fluid in the wells. Such disparity leads to spatially and temporally large concentration gradients between the two traveling fluids.
  • bubbles are likely to be trapped or created in stagnant areas like sharp corners interior the flow cell.
  • the surface energy hydrophilic vs. hydrophobic
  • Avoidance of surface contamination during processing and use of a surface treatment to create a more hydrophilic surface should be considered if the as-molded surface is too hydrophobic.
  • the physical arrangement of the flow chamber is probably the factor which most influences the degree of uniformity achievable for the flow front.
  • the cross section of the diffuser i.e., flow expansion chamber section 3416 , 3610 may be made as shown at 4204 A in FIG. 42A , instead of simply being rectangular, as at 4204 A. That is, it may have a curved (e.g., concave) wall.
  • the non-flat wall 4206 A of the diffuser can be the top or the bottom.
  • Another approach is to configure the effective path lengths into the array so that the total path lengths from entrance to exit over the array are essentially the same.
  • flow-disrupting features such as cylinders or other structures oriented normal to the flow direction, in the path of the flow. If the flow chamber has as a floor the top of the microwell array and as a ceiling an opposing wall, these flow-disrupting structures may be provided either on the top of the microwell layer or on (or in) the ceiling wall. The structures must project sufficiently into the flow to have the desired effect, but even small flow disturbances can have significant impact. Turning to FIGS. 42B-42F , there are shown diagrammatically some examples of such structures. In FIG.
  • FIG. 42B on the surface of microwell layer 4210 B there are formed a series of cylindrical flow disruptors 4214 B extending vertically toward the flow chamber ceiling wall 4212 B, and serving to disturb laminar flow for the fluid moving in the direction of arrow A.
  • FIG. 42C depicts a similar arrangement except that the flow disruptors 4216 C have rounded tops and appear more like bumps, perhaps hemispheres or cylinders with spherical tops.
  • the flow disruptors 4218 D protrude, or depend, from the ceiling wall 4212 B of the flow chamber. Only one column of flow disruptors is shown but it will be appreciated that a plurality of more or less parallel columns typically would be required. For example, FIG.
  • FIGS. 42B-42D shows several columns 4202 E of such flow disruptors (projecting outwardly from ceiling wall 4212 B (though the orientation is upside down relative to FIGS. 42B-42D ).
  • the spacing between the disruptors and their heights may be selected to influence the distance over which the flow profile becomes parabolic, so that transit time equilibrates.
  • FIGS. 42 F and 42 F 1 Another configuration, shown in FIGS. 42 F and 42 F 1 , involves the use of solid, beam-like projections or baffles 4220 F as disruptors.
  • This concept may be used to form a ceiling member for the flow chamber.
  • Such an arrangement encourages more even fluid flow and significantly reduces fluid displacement times as compared with a simple rectangular cross-section without disruptor structure.
  • fluid instead of fluid entry to the array occurring along one edge, fluid may be introduced at one corner 4242 F, through a small port, and may exit from the opposite corner, 4244 F, via a port in fluid communication with that corner area.
  • the series of parallel baffles 4220 F separates the flow volume between input and outlet corners into a series of channels. The lowest fluid resistant path is along the edge of the chip, perpendicular to the baffles.
  • each baffle pair preferably is graded across the chip, such that the flow is encouraged to travel toward the exit port through the farthest channel, thereby evening the flow front between the baffles.
  • the baffles extend downwardly nearly to the chip (i.e., microwell layer) surface, but because they are quite thin, fluid can diffuse under them quickly and expose the associated area of the array assembly.
  • FIGS. 42 F 2 - 42 F 8 illustrate an example of a single-piece, injection-molded (preferably of polycarbonate) flow cell member 42 F 200 which may be used to provide baffles 4220 F, a ceiling to the flow chamber, fluid inlet and outlet ports and even the reference electrode.
  • FIG. 42 F 7 shows an enlarged view of the baffles on the bottom of member 42 F 200 and the baffles are shown as part of the underside of member 42 F 200 in FIG. 42 F 6 .
  • the particular instance of these baffles, shown as 4220 F′ are triangular in cross section.
  • FIG. 42 F 2 there is a top, isometric view of member 42 F 200 mounted onto a sensor array package 42 F 300 , with a seal 42 F 202 formed between them and contact pins 42 F 204 depending from the sensor array chip package.
  • FIGS. 42 F 3 and 42 F 4 show sections, respectively, through section lines H-H and I-I of FIG. 42 F 5 , permitting one to see in relationship the sensor array chip 42 F 250 , the baffles 4220 F′ and fluid flow paths via inlet 42 F 260 and outlet 42 F 270 ports.
  • the reference electrode may be formed.
  • fluid flow into the flow chamber may be introduced across the width of an edge of the chip assembly 42 F 1 , as in FIGS. 57-58 , for example, or fluid may be introduced at one corner of the chip assembly, as in FIG. 42 F 1 .
  • Fluid also may be introduced, for example, as in FIGS. 42G and 42H , where fluid is flowed through an inlet conduit 4252 G to be discharged adjacent and toward the center of the chip, as at 4254 G, and flowed radially outwardly from the introduction point.
  • FIGS. 42I and 42J in conjunction with FIGS. 42G and 42H depict in cross-section an example of such a structure and its operation.
  • this embodiment contains an additional element, a diaphragm valve, 42601 .
  • the valve 4260 I is open, providing a path via conduit 4262 I to a waste reservoir (not shown).
  • the open valve provides a low impedance flow to the waste reservoir or outlet.
  • Air pressure is then applied to the diaphragm valve, as in FIG. 42J , closing the low impedance path and causing the fluid flow to continue downwardly through central bore 4264 J in member 4266 J which forms the ceiling of the flow chamber, and across the chip (sensor) assembly.
  • the flow is collected by the channels at the edges of the sensor, as described above, and exits to the waste output via conduit 4268 J.
  • FIGS. 42K-42M show fluid being introduced not at the center of the chip assembly, but at one corner, 4272 K, instead. It flows across the chip 3412 as symbolically indicated by lines 4274 K and is removed at the diagonally opposing corner, 4276 K.
  • the advantage of this concept is that it all but eliminates any stagnation points.
  • the sensor array can be positioned vertically so that the flow is introduced at the bottom and removed at the top to aid in the clearance of bubbles.
  • This type of embodiment, by the way, may be considered as one quadrant of the embodiments with the flow introduced in the center of the array.
  • An example of an implementation with a valve 4278 L closed and shunting flow to the waste outlet or reservoir is shown in FIG. 42L .
  • the main difference with respect to the embodiment of FIGS. 42I and 42J is that the fluid flow is introduced at a corner of the array rather than at its center.
  • Flow disturbances may also induce or multiply bubbles in the fluid.
  • a bubble may prevent the fluid from reaching a microwell, or delay its introduction to the microwell, introducing error into the microwell reading or making the output from that microwell useless in the processing of outputs from the array.
  • FIGS. 43-44 show another alternative flow cell design, 4310 .
  • This design relies on the molding of a single plastic piece or member 4320 to be attached to the chip to complete the flow cell.
  • the connection to the fluidic system is made via threaded connections tapped into appropriate holes in the plastic piece at 4330 and 4340 .
  • the member 4320 is made of a material such as polydimethylsiloxane (PDMS)
  • PDMS polydimethylsiloxane
  • a vertical cross section of this design is shown in FIGS. 43-44 .
  • This design may use an overhanging plastic collar 4350 (which may be a solid wall as shown or a series of depending, spaced apart legs forming a downwardly extending fence-like wall) to enclose the chip package and align the plastic piece with the chip package, or other suitable structure, and thereby to alignment the chip frame with the flow cell forming member 4320 . Liquid is directed into the flow cell via one of apertures 4330 , 4340 , thence downwardly towards the flow chamber.
  • an overhanging plastic collar 4350 which may be a solid wall as shown or a series of depending, spaced apart legs forming a downwardly extending fence-like wall
  • the reference electrode is introduced to the top of the flow chamber via a bore 4325 in the member 4320 .
  • the placement of the removable reference electrode is facilitated by a silicone sleeve 4360 and an epoxy stop ring 4370 (see the blow-up of FIG. 44 ).
  • the silicone sleeve provides a tight seal and the epoxy stop ring prevent the electrode from being inserted too far into the flow cell.
  • other mechanisms may be employed for the same purposes, and it may not be necessary to employ structure to stop the electrode.
  • a material such as PDMS is used for member 4320 , the material itself may form a watertight seal when the electrode is inserted, obviating need for the silicone sleeve.
  • FIGS. 45 and 46 show a similar arrangement except that member 4510 lacks a bore for receiving a reference electrode. Instead, the reference electrode 4515 is formed on or affixed to the bottom of central portion 4520 and forms at least part of the flow chamber ceiling. For example, a metallization layer may be applied onto the bottom of central portion 4520 before member 4510 is mounted onto the chip package.
  • FIGS. 47-48 show another example, which is a variant of the embodiment shown in FIGS. 43-44 , but wherein the frame is manufactured as part of the flow cell rather attaching a flow port structure to a frame previously attached to the chip surface.
  • assembly is somewhat more delicate since the wirebonds to the chip are not protected by the epoxy encapsulating the chip.
  • the success of this design is dependent on the accurate placement and secure gluing of the integrated “frame” to the surface of the chip.
  • FIGS. 49-50 A counterpart embodiment to that of FIGS. 45-46 , with the reference electrode 4910 on the ceiling of the flow chamber, and with the frame manufactured as part of the flow cell, is shown in FIGS. 49-50 .
  • FIGS. 51-52 Yet another alternative for a fluidics assembly, as shown in FIGS. 51-52 , has a fluidics member 5110 raised by about 5.5 mm on stand-offs 5120 from the top of the chip package 5130 . This allows for an operator to visually inspect the quality of the bonding between plastic piece 5140 and chip surface and reinforce the bonding externally if necessary.
  • a plastic part 5310 may make up the frame and flow chamber, resting on a PDMS “base” portion 5320 .
  • the plastic part 5310 may also provides a region 5330 to the array, for expansion of the fluid flow from the inlet port; and the PDMS part may then include communicating slits 5410 , 5412 through which liquids are passed from the PDMS part to and from the flow chamber below.
  • the fluidic structure may also be made from glass as discussed above, such as photo-definable (PD) glass.
  • PD photo-definable
  • Such a glass may have an enhanced etch rate in hydrofluoric acid once selectively exposed to UV light and features may thereby be micromachined on the top-side and back-side, which when glued together can form a three-dimensional low aspect ratio fluidic cell.
  • FIG. 55 An example is shown in FIG. 55 .
  • a first glass layer or sheet 5510 has been patterned and etched to create nanoport fluidic holes 5522 and 5524 on the top-side and fluid expansion channels 5526 and 5528 on the back-side.
  • a second glass layer or sheet 5530 has been patterned and etched to provide downward fluid input/output channels 5532 and 5534 , of about 300 ⁇ m height (the thickness of the layer).
  • the bottom surface of layer 5530 is thinned to the outside of channels 5532 and 5534 , to allow the layer 5530 to rest on the chip frame and protrusion area 5542 to be at an appropriate height to form the top of the flow channel.
  • Both wafers should be aligned and bonded (e.g., with an appropriate glue, not shown) such that the downward fluid input/output ports are aligned properly with the fluid expansion channels.
  • Alignment targets may be etched into the glass to facilitate the alignment process.
  • Nanoports may be secured over the nanoport fluidic holes to facilitate connection of input and output tubing.
  • a central bore 5550 may be etched through the glass layers for receiving a reference electrode, 5560 .
  • the electrode may be secured and sealed in place with a silicone collar 5570 or like structure; or the electrode may be equipped integrally with a suitable washer for effecting the same purpose.
  • the reference electrode may also be a conductive layer or pattern deposited on the bottom surface of the second glass layer (not shown).
  • the protrusion region may be etched to form a permeable glass membrane 5610 on the top of which is coated a silver (or other material) thin-film 5620 to form an integrated reference electrode.
  • a hole 5630 may be etched into the upper layer for accessing the electrode and if that hole is large enough, it can also serve as a reservoir for a silver chloride solution. Electrical connection to the thin-film silver electrode may be made in any suitable way, such as by using a clip-on pushpin connector or alternatively wirebonded to the ceramic ISFET package.
  • Another alternative is to integrate the reference electrode to the sequencing chip/flow cell by using a metalized surface on the ceiling of the flow chamber—i.e., on the underside of the member forming the ceiling of the fluidic cell.
  • An electrical connection to the metalized surface may be made in any of a variety of ways, including, but not limited to, by means of applying a conductive epoxy to the ceramic package seal ring that, in turn, may be electrically connected through a via in the ceramic substrate to a spare pin at the bottom of the chip package. Doing this would allow system-level control of the reference potential in the fluid cell by means of inputs through the chip socket mount to the chip's control electronics.
  • an externally inserted electrode requires extra fluid tubing to the inlet port, which requires additional fluid flow between cycles.
  • Ceramic pin grid array (PGA) packaging may be used for the ISFET array, allowing customized electrical connections between various surfaces on the front face with pins on the back.
  • the flow cell can be thought of as a “lid” to the ISFET chip and its PGA.
  • the flow cell may be fabricated of many different materials. Injection molded polycarbonate appears to be quite suitable.
  • a conductive metal e.g., gold
  • an adhesion layer e.g., chrome
  • Appropriate low-temperature thin-film deposition techniques preferably are employed in the deposition of the metal reference electrode due to the materials (e.g., polycarbonate) and large step coverage topography at the bottom-side of the fluidic cell (i.e., the frame surround of ISFET array).
  • One possible approach would be to use electron-beam evaporation in a planetary system.
  • the active electrode area is confined to the central flow chamber inside the frame surround of the ISFET array, as that is the only metalized surface that would be in contact with the ionic fluid during sequencing.
  • conductive epoxy e.g., Epo-Tek H20E or similar
  • the ISFET flow cell is ready for operation with the reference potential being applied to the assigned pin of the package.
  • the resulting fluidic system connections to the ISFET device thus incorporate shortened input and output fluidic lines, which is desirable.
  • FIGS. 57-58 Still another example embodiment for a fluidic assembly is shown in FIGS. 57-58 .
  • This design is limited to a plastic piece 5710 which incorporates the frame and is attached directly to the chip surface, and to a second piece 5720 which is used to connect tubing from the fluidic system and similarly to the PDMS piece discussed above, distributes the liquids from the small bore tube to a wide flat slit.
  • the two pieces are glued together and multiple (e.g., three) alignment markers (not shown) may be used to precisely align the two pieces during the gluing process.
  • a hole may be provided in the bottom plate and the hole used to fill the cavity with an epoxy (for example) to protect the wirebonds to the chip and to fill in any potential gaps in the frame/chip contact.
  • the reference electrode is external to the flow cell (downstream in the exhaust stream, through the outlet port—see below), though other configurations of reference electrode may, of course, be used.
  • FIG. 59A comprises eight views (A-H) of an injection molded bottom layer, or plate, 5910 , for a flow cell fluidics interface
  • FIG. 59B comprises seven views (A-G) of a mating, injection molded top plate, or layer, 5950 .
  • the bottom of plate 5910 has a downwardly depending rim 5912 configured and arranged to enclose the sensor chip and an upwardly extending rim 5914 for mating with the top plate 5610 along its outer edge.
  • a stepped, downwardly depending portion 5960 of top plate 5950 separates the input chamber from the output chamber.
  • inlet tube 5970 and an outlet tube 5980 are integrally molded with the rest of top plate 5950 . From inlet tube 5970 , which empties at the small end of the inlet chamber formed by a depression 5920 in the top of plate 5910 , to the outlet edge of inlet chamber fans out to direct fluid across the whole array.
  • the flow cell it may be desirable, especially with larger arrays, to include in the inlet chamber of the flow cell, between the inlet conduit and the front edge of the array, not just a gradually expanding (fanning out) space, but also some structure to facilitate the flow across the array being suitably laminar.
  • a bottom layer 5990 of an injection molded flow cell as an example, one example type of structure for this purpose, shown in FIG. 59C , is a tree structure 5992 of channels from the inlet location of the flow cell to the front edge of the microwell array or sensor array, which should be understood to be under the outlet side of the structure, at 5994 .
  • the fluid flow system preferably includes a flow chamber formed by the sensor chip and a single piece, injection molded member comprising inlet and outlet ports and mountable over the chip to establish the flow chamber.
  • the surface of such member interior to the chamber is preferably formed to facilitate a desired expedient fluid flow, as described herein.
  • the invention encompasses an apparatus for detection of pH comprising a laminar fluid flow system.
  • the apparatus is used for sequencing a plurality of nucleic acid templates present in an array.
  • the apparatus typically includes a fluidics assembly comprising a member comprising one or more apertures for non-mechanically directing a fluid to flow to an array of at least 100 K (100 thousand), 500 K (500 thousand), or 1 M (1 million) microfluidic reaction chambers such that the fluid reaches all of the microfluidic reaction chambers at the same time or substantially the same time.
  • the fluid flow is parallel to the sensor surface.
  • the assembly has a Reynolds number of less than 1000, 500, 200, 100, 50, 20, or 10.
  • the member further comprises a first aperture for directing fluid towards the sensor array and a second aperture for directing fluid away from the sensor array.
  • the invention encompasses a method for directing a fluid to a sensor array comprising: providing a fluidics assembly comprising an aperture fluidly coupling a fluid source to the sensor array; and non-mechanically directing a fluid to the sensor array.
  • non-mechanically it is meant that the fluid is moved under pressure from a gaseous pressure source, as opposed to a mechanical pump.
  • the invention encompasses an array of wells, each of which is coupled to a lid having an inlet port and an outlet port and a fluid delivery system for delivering and removing fluid from said inlet and outlet ports non-mechanically.
  • the invention encompasses a method for sequencing a biological polymer such as a nucleic acid utilizing the above-described apparatus, comprising: directing a fluid comprising a monomer to an array of reaction chambers wherein the fluid has a fluid flow Reynolds number of at most 2000, 1000, 200, 100, 50, or 20.
  • the method may optionally further comprise detecting a pH or a change in pH from each said reaction chamber. This is typically detected by ion diffusion to the sensor surface.
  • the metal capillary tube 6010 has a small inner diameter (e.g., on the order of 0.01′′) that does not trap gas to any appreciable degree and effectively transports fluid and gas like other microfluidic tubing. Also, because the capillary tube can be directly inserted into the flow cell port 6020 , it close to the chip surface, reducing possible electrical losses through the fluid. The large inner surface area of the capillary tube (typically about 2′′ long) may also contribute to its high performance.
  • a fluidic fitting 6040 is attached to the end of the capillary that is not in the flow cell port, for connection to tubing to the fluid delivery and removal subsystem.
  • a complete system for using the sensor array will include suitable fluid sources, valving and a controller for operating the valving to low reagents and washes over the microarray or sensor array, depending on the application. These elements are readily assembled from off-the-shelf components, with and the controller may readily be programmed to perform a desired experiment.
  • the readout at the chemFET may be current or voltage (and change thereof) and that any particular reference to either readout is intended for simplicity and not to the exclusion of the other readout. Therefore any reference in the following text to either current or voltage detection at the chemFET should be understood to contemplate and apply equally to the other readout as well.
  • the readout reflects a rapid, transient change in concentration of an analyte. The concentration of more than one analyte may be detected at different times. In some instances, such measurements are to be contrasted with methods that focus on steady state concentration measurements.
  • the apparatus, systems and methods of the invention can be used to detect and/or monitor interactions between various entities. These interactions include biological and chemical reactions and may involve enzymatic reactions and/or non-enzymatic interactions such as but not limited to binding events.
  • the invention contemplates monitoring enzymatic reactions in which substrates and/or reagents are consumed and/or reaction intermediates, byproducts and/or products are generated.
  • An example of a reaction that can be monitored according to the invention is a nucleic acid synthesis method such as one that provides information regarding nucleic acid sequence. This reaction will be discussed in greater detail herein.
  • the apparatus and system provided herein is able to detect nucleotide incorporation based on changes in the chemFET current and/or voltage, as those latter parameters are interrelated.
  • Current changes may be the result of one or more of the following events either singly or some combination thereof: generation of hydrogen (and concomitant changes in pH for example in the presence of low strength buffer or no buffer), generation of PPi, generation of Pi (e.g., in the presence of pyrophosphatase), increased charge of nucleic acids attached to the chemFET surface, and the like.
  • the invention contemplates methods for determining the nucleotide sequence of a nucleic acid. Such methods involve the synthesis of a new nucleic acid (e.g., using a primer that is hybridized to a template nucleic acid or a self-priming template, as will be appreciated by those of ordinary skill), based on the sequence of a template nucleic acid. That is, the sequence of the newly synthesized nucleic acid is complimentary to the sequence of the template nucleic acid and therefore knowledge of sequence of the newly synthesized nucleic acid yields information about the sequence of the template nucleic acid.
  • a new nucleic acid e.g., using a primer that is hybridized to a template nucleic acid or a self-priming template, as will be appreciated by those of ordinary skill
  • knowledge of the sequence of the newly synthesized nucleic acid is obtained by determining whether a known nucleotide has been incorporated into the newly synthesized nucleic acid and, if so, how many of such known nucleotides have been incorporated.
  • the order in which the known nucleotides are added to the reaction mixture is known and thus the order of incorporated nucleotides (if any) is also known.
  • a template hybridized to a primer is contacted with a first pool of identical known nucleotides (e.g., dATP) in the presence of polymerase.
  • next available position on the template is a thymidine residue
  • the dATP is incorporated into the primed nucleic acid strand and a signal is detected for example based on hydrogen release. If the next available position is not a thymidine residue, then the dATP will not incorporate and no signal will be detected because no hydrogen will be released. If the next availableposition and one or more contiguous positions thereafter are thymidine residues, then a corresponding number of dATP will be incorporated and a signal commensurate with the number of nucleotides incorporated will be detected.
  • the reaction well or chamber is then washed to remove unincorporated nucleotides and released hydrogen, following which another pool of identical known nucleotides (e.g., dCTP) is added.
  • dCTP a pool of identical known nucleotides
  • the process is repeated until all four nucleotides are separately added to the reaction well (i.e., one cycle), and then the cycles are repeated.
  • the cycles may be repeated for 50 times, 100 times, 200 times, 300 times, 400 times, 500 times, 750 times, or more, depending on the length of sequence information desired.
  • Nucleotide incorporation can be monitored in a number of ways, including the production of products such as PPi, Pi and/or H.
  • the incorporation of a dNTP into the nucleic acid strand releases PPi which can then be hydrolyzed to two orthophosphates (Pi) and one hydrogen ion ( FIG. 61A ).
  • the generation of the hydrogen ion therefore can be detected as an indicator of nucleotide incorporation.
  • Pi may be detected directly or indirectly.
  • nucleotide incorporation is detected based on an increase in charge (typically, negative charge) of the template, primer or template/primer complex.
  • Templates may be bound to the chemFET surface or they may be hybridized to primers that are bound to the chemFET surface.
  • Primers hybridized to the templates can be extended in the presence of polymerase and one or a combination of known nucleotides. Nucleotide incorporation is detected by increases in charge at the chemFET surface that result from the addition of phosphodiester backbone linkages that carry negative charges.
  • the negative charge of the immobilized nucleic acid increases, and this increase can be detected by the chemFET.
  • the number of nucleotide incorporations that can be detected in this manner may be at least 10, at least 20, at least 30, at least 40, at least 50, at least 60, at least 70, at least 80, at least 90, at least 100, or more.
  • the invention contemplates that in this instance nucleotide incorporation can be detected by measuring change in charge at the chemFET surface as well as released hydrogen ions that come into contact with the chemFET.
  • the systems described herein can be used for sequencing nucleic acids without optical detection.
  • at least 10 6 base pairs are sequenced per hour, more preferably at least 10 7 base pairs are sequenced per hour, and most preferably at least 10 8 base pairs are sequenced per hour using the above-described method.
  • the method may be used to sequence an entire human genome within about 24 hours, more preferably within about 20 hours, even more preferably within about 15 hours, even more preferably within about 10 hours, even more preferably within about 5 hours, and most preferably within about 1 hour. These rates may be achieved using multiple ISFET arrays as shown herein, and processing their outputs in parallel.
  • Certain aspects of the invention therefore relate to detecting hydrogen ions released as a function of nucleotide incorporation and in some embodiments as a function of nucleotide excision. It is important in these and various other aspects to detect as many released hydrogen ions as possible in order to achieve as high a signal (and/or a signal to noise ratio) as possible.
  • Strategies for increasing the number of released protons that are ultimately detected by the chemFET surface include without limitation limiting interaction of released protons with reactive groups in the well, choosing a material from which to manufacture the well in the first instance that is relatively inert to protons, preventing released protons from exiting the well prior to detection at the chemFET, and increasing the copy number of templates per well (in order to amplify the signal from each nucleotide incorporation), among others.
  • a solution having no or low buffering capacity (or activity) is one in which changes in hydrogen ion concentration on the order of at least about +/ ⁇ 0.005 pH units, at least about +/ ⁇ 0.01, at least about +/ ⁇ 0.015, at least about +/ ⁇ 0.02, at least about +/ ⁇ 0.03, at least about +/ ⁇ 0.04, at least about +/ ⁇ 0.05, at least about +/ ⁇ 0.10, at least about +/ ⁇ 0.15, at least about +/ ⁇ 0.20, at least about +/ ⁇ 0.25, at least about +/ ⁇ 0.30, at least about +/ ⁇ 0.35, at least about +/ ⁇ 0.45, at least about +/ ⁇ 0.50, or more are detectable (e.g., using the chemFET sensors described herein).
  • the pH change per nucleotide incorporation is on the order of about 0.005. In some embodiments, the pH change per nucleotide incorporation is a decrease in pH. Reaction solutions that have no or low buffering capacity may contain no or very low concentrations of buffer, or may use weak buffers.
  • a buffer is an ionic molecule (or a solution comprising an ionic molecule) that resists, to varying extents, changes in pH.
  • Buffers include without limitation Tris, tricine, phosphate, boric acid, borate, acetate, morpholine, citric acid, carbonic acid, and phosphoric acid.
  • the strength of a buffer is a relative term since it depends on the nature, strength and concentration of the acid or base added to or generated in the solution of interest.
  • a weak buffer is a buffer that allows detection (and therefore is not able to control or mask) pH changes on the order of those listed above.
  • the reaction solution may have a buffer concentration equal to or less than 1 mM, equal to or less than 0.9 mM, equal to or less than 0.8 mM, equal to or less than 0.7 mM, equal to or less than 0.6 mM, equal to or less than 0.5 mM, equal to or less than 0.4 mM, equal to or less than 0.3 mM, equal to or less than 0.2 mM, equal to or less than 0.1 mM, or less including zero.
  • the buffer concentration may be 50-100 ⁇ M.
  • a non-limiting example of a weak buffer suitable for the sequencing reactions described herein wherein pH change is the readout is 0.1 mM Tris or Tricine.
  • nucleotide incorporation is carried out in the presence of additional agents which serve to shield potential buffering events that may occur in solution.
  • additional agents which serve to shield potential buffering events that may occur in solution.
  • These agents are referred to herein as buffering inhibitors since they inhibit the ability of components within a solution or a solid support in contact with the solution to sequester and/or otherwise interfere with released hydrogen ions prior to their detection by the chemFET surface.
  • released hydrogen ions may interact with or be sequestered by reactive groups in the solution or on solid supports in contact with the solution. These hydrogen ions are less likely to reach and be detected by the chemFET surface, leading to a weaker signal than is otherwise possible.
  • Reactive groups that can interfere with released hydrogen ions include without limitation reactive groups such as free bases on single stranded nucleic acids and Si—OH groups that may be present in the passivation layer.
  • Some suitable buffering inhibitors demonstrate little or no buffering capacity in the pH range of 5-9, meaning that pH changes on the order of 0.005, 0.01, 0.02, 0.03, 0.04, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5 or more pH units are detectable (e.g., by using an ISFET) in the presence of such inhibitors:
  • buffering inhibitors there are various types of buffering inhibitors.
  • a buffering agent is an agent that binds to single stranded nucleic acids (or single stranded nucleic acid regions, as may occur in a template nucleic acid) thereby shielding reactive groups such as free bases.
  • These agents may be RNA oligonucleotides (or RNA oligomers, or oligoribonucleotides, as they are referred to herein interchangeably) having complementary sequences to the afore-mentioned single stranded regions of template nucleic acids.
  • RNA oligonucleotides are useful because they are not able to serve as primers for a sequencing reaction as compared to DNA oligonucleotides.
  • RNA oligonucleotides In order to bind to (or shield the effects of) as much of a single stranded nucleic acid as possible, a plurality (or set, or mixture) of RNA oligonucleotides can be used.
  • a set of RNA oligonucleotides that are 2, 3, 4, 5, 6, or more nucleotides in length can be used together with single stranded templates.
  • the short length of these RNA oligonucleotides allows them to be displaced by the polymerase as it progresses along with the length of the nucleic acid template. Such displacement does not require exonuclease activity from the polymerase.
  • the RNA oligonucleotides are of random sequence.
  • FIGS. 61B and 61C illustrate the difference in ion detection at an ISFET in the presence or absence of a RNA hexamer bound to a single stranded template.
  • phospholipids may be naturally occurring or non-naturally occurring phospholipids.
  • examples of phospholipids that may be used as buffering inhibitors include but are not limited to'phosphatidylcholine, phosphatidylethanolamine, phosphatidylglycerol, and phosphatidylserine.
  • a buffering inhibitor is sulfonic acid based surfactants such as poly(ethylene glycol) 4-nonylphenyl 3-sulfopropyl ether (PNSE), the potassium salt of which is shown in FIG. 61D .
  • PNSE poly(ethylene glycol) 4-nonylphenyl 3-sulfopropyl ether
  • FIG. 61D Another example of a buffering inhibitor is sulfonic acid based surfactants such as poly(ethylene glycol) 4-nonylphenyl 3-sulfopropyl ether (PNSE), the potassium salt of which is shown in FIG. 61D .
  • PNSE poly(ethylene glycol) 4-nonylphenyl 3-sulfopropyl ether
  • polyanionic electrolytes such as poly(styrenesulfonic acid), the sodium salt of which is shown in FIG. 61E .
  • polycationic electrolytes such as poly(diallydimethylammonium), the chloride salt of which is shown in FIG. 61F . These compounds are known to bind to DNA.
  • a buffering inhibitor is tetramethyl ammonium, the chloride salt of which is shown in FIG. 61G .
  • inhibitors may be present throughout a reaction by being included in nucleotide solutions, wash solutions, and the like. Alternatively, they may be flowed through the chamber at set times relative to the flow through of nucleotides and/or other reaction reagents. In still other embodiments, they may be coated on the chemFET surface (or reaction chamber surface). Such coating may be covalent or non-covalent.
  • Another way of reducing the buffering capacity in the reaction well is to covalently attach nucleic acids to capture beads, in embodiments in which capture beads are used.
  • covalent attachment is in contrast to non-covalent methods described herein that include for example biotin, streptavidin interactions.
  • biotinylated primers can be attached to streptavidin coated beads, followed by hybridization to template.
  • streptavidin like other proteins, is capable of buffering, and therefore its presence would interfere with the detection of hydrogen ions released as a consequence of nucleotide incorporation.
  • the invention also contemplates in some instances approaches that do not rely on streptavidin in the attachment mechanism.
  • Covalently coupling primers to such solid supports serves at least two purposes. First, it eliminates the need for proteins, such as streptavidin, that comprise functional side groups (such as primary, secondary or tertiary amines and carboxylic acids) that can buffer pH changes in the range of pH 5-9. Second, it serves to increase the number of templates that can be conjugated to the solid support, such as a single bead, by reducing steric hindrance effects that may exist when using bulky proteins such as streptavidin. In still other embodiments, templates may be directly conjugated covalently to solid supports such as beads.
  • proteins such as streptavidin
  • functional side groups such as primary, secondary or tertiary amines and carboxylic acids
  • templates may be directly conjugated covalently to solid supports such as beads.
  • Primers can be covalently coupled to beads in any number of ways, several of which are shown in FIGS. 61H and 61I or described in Steinberg et al. Biopolymers 73:597-605, 2004, as an example.
  • Reactive groups that can be used to conjugate primers to beads include epoxide, tosyl, amino and carboxyl groups.
  • beads having a silica surface as discussed below, can be used with chlorophyl, azide, and alkyne reactive groups.
  • the preferred combination is a polymer core bead with a polymer surface using tosyl reactive groups.
  • Copy number can be increased for example by using templates that are concatemers (i.e., nucleic acids comprising multiple, tandemly arranged, copies of the nucleic acid to be sequenced), by increasing the number of nucleic acids on or in beads up to and including saturating such beads, and by attaching templates or primers to beads or to the sensor surface in ways that reduce steric hindrance and/or ensure template attachment (e.g., by covalently attaching templates), among other things.
  • templates that are concatemers i.e., nucleic acids comprising multiple, tandemly arranged, copies of the nucleic acid to be sequenced
  • attaching templates or primers to beads or to the sensor surface in ways that reduce steric hindrance and/or ensure template attachment (e.g., by covalently attaching templates), among other things.
  • Concatemer templates may be immobilized on or in beads or on other solid supports such as the sensor surface, although in some embodiments concatemers templates may be present in a reaction chamber without immobilization.
  • the templates or complexes comprising templates and primers
  • the chemFET surface may be covalently or non-covalently attached to the chemFET surface and their sequencing may involve detection of released hydrogen ions and/or addition of negative charge to the chemFET surface upon a nucleotide incorporation event.
  • the latter detection scheme may be performed in a buffered environment or solution (i.e., any changes in pH will not be detected by the chemFET and thus such changes will not interfere with detection of negative charge addition to the chemFET surface).
  • buffering capacity it is important that buffering capacity not be affected in the process of increasing copy number.
  • various methods are provided for increasing copy number using strategies and/or linkers that do not impact the buffering capacity of the environment.
  • the functional groups, linkers and/or polymers themselves have no or limited buffering capacity, and their use does not obscure the detection of hydrogen ions released as a result of nucleotide incorporation or excision, as the case may be.
  • Increasing copy number may also be accomplished by increasing the number of attachment points for primers (or templates).
  • the solid support is coated with a polymer such as polyethylene glycol (PEG) which does not comprise functional groups that interact with the primer and its functional groups, except as provided below for initially attaching primer.
  • PEG linkers of varying lengths can be used so that primers can be attached at varying distances from the solid support surface, thereby decreasing the amount of steric hindrance that may otherwise exist between primers and the complexes they ultimately form (e.g., primer/template hybrids).
  • the solid supports can be coated one or more times with a mixture of 2, 3, 4, or more PEG linkers of differing lengths. The end result is an increased distance between ends of PEG linkers attached to the solid support. Attachment of primers to the PEG linkers can be accomplished using any reactive groups known in the art. As an example, click chemistry can be used between azide groups on the ends of PEG linkers and alkyde groups on the primers.
  • polymers having preferably more than one functional (or reactive) group are used.
  • Each of the functional groups is available for conjugation with a separate primer.
  • Useful polymers in this regard include those having hydroxyl groups, amine groups, thiol groups, and the like.
  • suitable polymers include dextran and chitosan. Linear or branched forms of these polymers may be used. An example of a branched polymer with multiple functionalities is branched dextran. It will be apparent to those of ordinary skill in the art than any chimeric polymer or copolymer may also be used provided it has a sufficient number of functional groups for primer attachment.
  • Dendrimers are three-dimensional complexes that can be made having any functional group.
  • Examples of dendrimers include the PAMAM dendrimers, an example of which is CAS No. 163442-69-1 which has 256 amine groups.
  • Dendrimers are commercially available from sources such as Sigma-Aldrich and Dendritic Nanotechnologies Inc. It will be understood that dendrimers with other functional groups also can be used.
  • the invention further contemplates the use of any combination of the above embodiments for maximizing the number of primers attached to a solid support.
  • the solid support surface may be coated one or more times (e.g., once or twice) with the PEG linkers of varying lengths, and to such linkers may be attached multifunctionality polymers such as dextran or chitosan (in either linear or branched form), followed by attachment of primers.
  • dendrimers may be attached to the PEG linkers, followed by primer attachment to the dendrimers.
  • the invention contemplates coating the solid support surface with a population of self-assembling monomers some proportion of which are bound to primers.
  • the monomers may be acrylamide monomers some of which are attached to primers.
  • the end result is a solid support having a polyacrylamide coating with interspersed primers.
  • the density of primers bound to the solid support can be manipulated by changing the ratio of monomers that have primers and monomers that lack primers. This strategy has been reported by Rehman et al. Nucleic Acids Research, 1999, 27(2):649-655.
  • Beads can be made of any material including but not limited to cellulose, cellulose derivatives, gelatin, acrylic resins, glass, silica gels, polyvinyl pyrrolidine (PVP), co-polymers of vinyl and acrylamide, polystyrene, polystyrene cross-linked with divinylbenzene or the like (see, Merrifield Biochemistry 1964, 3, 1385-1390), polyacrylamides, latex gels, dextran, crosslinked dextrans (e.g., SephadexTM), rubber, silicon, plastics, nitrocellulose, natural sponges, metal, and agarose gel (SepharoseTM).
  • the beads are streptavidin-coated beads.
  • Beads suitable for covalent attachment may be magnetic or non-magnetic in nature. They may have a polymer core with a polymer surface, a polymer core with a silica surface, and a silica core with a silica surface.
  • the bead core may be hollow, porous, or solid, as described below.
  • the bead diameter will depend on the density of the chemFET and microwell arrays used, with larger arrays (and thus smaller sized wells) requiring smaller beads.
  • the bead size may be about 1-10 microns, and more preferably 2-6 microns.
  • the beads are about 5.9 microns while in other embodiments the beads are about 2.8 microns.
  • the beads are about 1.5 microns, or about 1 micron in diameter.
  • beads having a diameter that ranges from about 3.3 to 3.5 microns may be used for reaction well arrays having a pitch on the order of about 5.1 microns.
  • beads having a diameter that ranges from about 5 to 6.5 microns may be used for reaction well arrays having a pitch on the order to about 9 microns. It is to be understood that the beads may or may not be perfectly spherical in shape. It is also to be understood that other beads may be used and other mechanisms for attaching the nucleic acid to the beads may be used.
  • the capture beads i.e., the beads on which the sequencing reaction occurs
  • the capture beads are the same as the template preparation beads including the amplification beads.
  • a spacer is used to distance the template nucleic acid (and in particular the target nucleic acid sequence comprised therein) from a solid support such as a bead.
  • linkers are known in the art (see Diehl et al. Nature Methods, 2006, 3(7):551-559) and include but are not limited to carbon-carbon linkers such as but not limited to iSp18. Beads can be purchased from commercial suppliers such as Bangs, Dynal and Micromod. Additional spacers and nucleic acid attachment mechanisms are discussed above.
  • some beads may be solid while others may be porous or hollow. These beads will have a porous surface such that reagents from the reaction solution may move into and out of the bead These may have empty channels or hollow cores that comprise at least 10%, at least 20%, at least 30%, at least 40%, at least 50%, at least 60%, at least 70%, at least 80%, at least 90% of the bead volume.
  • porous beads, porous microparticles, or capsules in view of their non-solid cores, and these terms are intended to embrace porous as well as hollow beads regardless of diameter or volume. They may or may not be spherical.
  • porous beads may be generated by methods known in the art. See for example Mak et al. Adv. Funct. Mater. 2008 18:2930-2937; Morimoto et al. MEMS 2008 Arlington Ariz. USA Jan. 13-17, 2008 Poster Abstract 304-307; Lee et al. Adv. Mater. 2008 20:3498-3503; Martin-Banderas et al. Small. 2005 1(7):688-92; and published PCT application WO03/078659.
  • Porous microparticles may be initially generated to contain a single template nucleic acid which is later amplified with all amplified copies of the nucleic acid being retained in the microparticle.
  • Amplification may occur before or while the bead is in contact with a chemFET array, and/or optionally in a reaction chamber. If performed before contact with the chemFET array, beads that have successfully undergone amplification can be selected and thereby enriched. As an example, beads having amplified nucleic acids can be separated from other beads based on density. Amplification may be isothermal or PCR amplification, or other means of amplification, as the invention is not to be limited in this regard.
  • the beads may contain at least two types of enzymes such as two types of polymerases.
  • the beads may contain one type of polymerase that is suitable for amplification of the nucleic acid and a second type of polymerase that is suitable for sequencing the amplified nucleic acids.
  • the beads preferably contain a plurality of both types of polymerases and preferably the number of each polymerase will be in excess of a saturating amount so as not to create a polymerase-limited environment. Once amplification is completed, the amplification polymerase may be inactivated, while maintaining the activity of the sequencing polymerase.
  • the enzymes and nucleic acids will be retained in the bead while smaller compounds, such as dNTPs and other nucleic acid synthesis reagents and cofactors, are allowed to diffuse into and out of the bead.
  • synthesis byproducts such as PPi and hydrogen ions will also diffuse out of the beads, in order to be detected by the chemFET.
  • the invention provides, in various other aspects, other modes for analyzing, including for example sequencing, nucleic acids using reactions that involve interdependent nucleotide incorporation and nucleotide excision.
  • interdependent nucleotide incorporation and nucleotide excision means that both reactions occur on the same nucleic molecule at contiguous sites on the nucleic acid, and one reaction facilitates the other.
  • a nick translation reaction refers to a reaction catalyzed by a polymerase enzyme having 5′ to 3′ exonuclease activity, that involves incorporation of a nucleotide onto the free 3′ end of a nicked region of double stranded DNA and excision of a nucleotide located at the free 5′ end of the nicked region of the double stranded DNA.
  • Nick translation therefore refers to the movement of the nicked site along the length of the nicked strand of DNA in a 5′ to 3′ direction.
  • the nick translation reaction includes a sequencing-by-synthesis reaction based on the intact strand of the double stranded DNA. This strand acts as the template from which the new strand is synthesized. The method does not require the use of a primer because the double stranded DNA can prime the reaction independently.
  • the nick translation approach has two features that make it well suited to the detection methods provided herein.
  • the nick translation reaction results in the release of two hydrogen ions for each combined excision/incorporation step, thereby providing a more robust signal at the chemFET each time a nucleotide is incorporated into a newly synthesized strand.
  • a sequencing-by-synthesis method in the absence of nucleotide excision, releases one hydrogen ion per nucleotide incorporation.
  • nick translation releases a first hydrogen ion upon incorporation of a nucleotide and a second hydrogen ion upon excision of another nucleotide. This increases the signal that can be sensed at the chemFET, thereby increasing signal to noise ratio and providing a more definitive readout of nucleotide incorporation.
  • a double stranded DNA template results in less interference of the template with released ions and a better signal at the chemFET.
  • a single stranded DNA has exposed groups that are able to interfere with (for example, sequester) hydrogen ions. These reactive groups are shielded in a double stranded DNA where they are hydrogen bonded to complementary groups. By being so shielded, these groups do not substantially impact hydrogen ion level or concentration. As a result, signal resulting from hydrogen ion release is greater in the presence of double stranded as compared to single stranded templates, as will be signal to noise ratio, thereby further contributing to a more definitive readout of nucleotide incorporation.
  • Templates suitable for nick translation typically are completely or partially double stranded. Such templates comprise an opening (or a nick) which acts as an entry point for a polymerase. Such openings can be introduced into the template in a controlled manner as described below and known in the art.
  • these openings be present in each of the plurality of identical templates at the same location in the template sequence.
  • Typical molecular biology techniques involving nick translation use randomly created nicks along the double stranded DNA because their aim is to produce a detectably labeled nucleic acid.
  • These prior art methods generate nicks through the use of sequence-independent nicking enzymes such as DNase I.
  • the nick location must be known, non-random and uniform for all templates of identical sequence. There are various ways of achieving this, and some of these are discussed below.
  • One way of achieving this is to create a population of identical double stranded nucleic acid templates that comprise a uracil residue in a defined location on one strand.
  • the uracil may be present in a primer that is used to generate the double stranded nucleic acid or a probe that is hybridized to a single stranded region of a predominantly double stranded nucleic acid.
  • the population of identical template nucleic acids can be generated by an amplification reaction, for example a PCR reaction.
  • the PCR reaction can be performed using a primer pair, one of which comprises a uracil residue.
  • the PCR reaction can be performed with non-uracil containing primers, followed by denaturation of the double stranded amplified products, and hybridization of one strand to a uracil-containing primer.
  • This latter embodiment requires that the single stranded, primed templates be made double stranded prior to the nick translation reaction. These reactions may be carried out while the nucleic acids are bound to a solid support such as a bead. Alternatively, the double stranded nucleic acid templates may be first generated and then attached to a solid support.
  • the uracil-containing double stranded nucleic acids are then contacted with uracil DNA glycosylase (UDG).
  • UDG is an enzyme that removes uracil from DNA by cleaving the N-glycosylic bond.
  • the nucleic acid is contacted with a second enzyme that removes uracil.
  • the second enzyme may be an AP endonuclease, or a lyase or another enzyme having similar nuclease activity.
  • the nucleic acids may be in the reaction chamber (or well) discussed herein during exposure to these enzymes, or they may be added to the reaction chamber (or well) following enzyme contact.
  • the double stranded nucleic acid comprises a nick at a specific location. More importantly, all nucleic acids of the same sequence and treated in an identical manner will be nicked at the same location. These nicked nucleic acids can then be used as templates for nucleic acid sequencing or other analysis.
  • nickase a nucleotide sequence recognized by a nickase or nicking enzyme is incorporated into the nucleic acid.
  • the nickase cuts on only one strand of the double stranded DNA.
  • Some nickases cut their recognition sequence while others cut at a distance from their recognition sequence (e.g., type II nickases).
  • Nickases with longer recognition sites are preferred because such sites are more infrequent and thus less likely to be present in the target nucleic acid (e.g., the genomic fragment) included in the template nucleic acid.
  • single stranded sequence specific nucleases examples include without limitation Nb.BbvCI (CCTCA ⁇ GC), Nt.BbvCI (CC ⁇ TCAGC), Nb.BsmI (GAATG ⁇ C), Nt.SapI (GCTCTTCN ⁇ ), Nb.BsrDI (GCAATG ⁇ ), and Nb.BtsI (GCAGTG ⁇ ), wherein the arrow indicates the site of nicking.
  • Nickases are commercially available from a number of suppliers including NEB. Accordingly, the nucleic acids are prepared having a copy of the nickase recognition sequence in a region of known sequence (e.g., a primer or other artificial sequence in the template nucleic acid).
  • nucleic acids are then contacted with the corresponding nickase to nick the nucleic acid.
  • contact with the nickase can occur before or after the nucleic acids are attached to solid support such as beads, and before or after the nucleic acids are loaded in reaction wells.
  • double stranded nucleic acids may be uniformly nicked is by incorporating ribonucleotides (rather than deoxyribonucleotides) into one strand of the double stranded nucleic acids.
  • ribonucleotides rather than deoxyribonucleotides
  • a double stranded nucleic acid can be generated using primers that contain one or more ribonucleotides at predetermined and thus known positions.
  • the resultant nucleic acids are then contacted with RNase H or other enzyme that degrades the RNA portion of DNA-RNA hybrids.
  • RNase H in particular hydrolyses phosphodiester bonds of RNA in RNA:DNA heteroduplexes, thereby producing 3′ OH groups and 5′ phosphate groups. If the double stranded nucleic acid is generated with only a single ribonucleotide then only a single abasic site will result, whereas if the double stranded nucleic acid is generated with multiple ribonucleotides then multiple abasic sites will result. In either case, identical nucleic acids can still be analyzed using a nick translation reaction once all but one of the abasic sites are filled by the polymerase. Taq polymerase is preferred in some embodiments involving these RNA-DNA hybrids. Again, as with the other methods described above, contact with RNase H or other similar enzyme can occur before or after the nucleic acids are attached to a solid support such as beads, and before or after the nucleic acids are loaded in reaction wells.
  • Still another way to prepare double stranded nucleic acids suitable as templates for nucleotide incorporation and excision events is to generate a double stranded nucleic acid having a 3′ overhang on one end, and then subsequently hybridize to the 3′ overhang a nucleic acid that is shorter than the overhang by at least one nucleotide.
  • a nucleic acid that is shorter than the overhang by at least one nucleotide.
  • there will be one unpaired internal nucleotide in the overhang will be the site from which nick translation will begin.
  • the sequence of the 3′ overhang and the hybridizing nucleic acid will be known and therefore the location of the abasic site will also be known and will be identical for all template nucleic acids.
  • the hybridization can occur before or after the nucleic acids are attached to a solid support such as beads, and before or after the nucleic acids are loaded into reaction wells.
  • the self priming nucleic acid may comprise a double stranded and a single stranded region that is capable of self-annealing in order to prime a nucleic acid synthesis reaction.
  • the single stranded region is typically a known synthetic sequence ligated to a nucleic acid of interest. Its length can be predetermined and engineered to create an opening following self-annealing, and such opening can act as an entry point for a polymerase.
  • a nicked nucleic acid such as a nicked double stranded nucleic acid
  • a nucleic acid having an opening e.g., a break in its backbone, or having abasic sites, etc.
  • the term is not limited to nucleic acids that have been acted upon by an enzyme such as a nicking enzyme, nor is it limited simply to breaks in a nucleic acid backbone, as will be clear based on the exemplary methods described herein for creating such nucleic acids.
  • the nick translation reaction can be carried out in a manner that parallels the sequencing-by-synthesis methods described herein. More specifically, in some embodiments each of the four nucleotides is separately contacted with the nicked templates in the presence of a polymerase having 5′ to 3′ exonuclease activity. In other embodiments, known combinations of nucleotides are used. Examples of suitable enzymes include DNA polymerase I from E. coli , Bst DNA polymerase, and Taq DNA polymerase.
  • the order of the nucleotides is not important as long as it is known and preferably remains the same throughout a run. After each nucleotide is contacted with the nicked templates, it is washed out followed by the introduction of another nucleotide, just as described herein. In the nick translation embodiments, the wash will also carry the excised nucleotide away from the chemFET.
  • the nucleotides that are incorporated into the nicked region need not be extrinsically labeled since it is a byproduct of their incorporation that is detected as a readout rather than the incorporated nucleotide itself.
  • the nick translation methods may be referred to as label-free methods, or fluorescence-free methods, since incorporation detection is not dependent on an extrinsic label on the incorporated nucleotide.
  • the nucleotides are typically naturally occurring nucleotides. It should also be recognized that since the methods benefit from the consecutive incorporation of as many nucleotides as possible, the nucleotides are not for example modified versions that lead to premature chain termination, such as those used in some sequencing methods.
  • Target nucleic acids include but are not limited to DNA such as but not limited to genomic DNA, mitochondrial DNA, cDNA and the like, and RNA such as but not limited to mRNA, miRNA, and other interfering RNA species, and the like.
  • the nucleic acids may be naturally or non-naturally occurring. They may be obtained from any source including naturally occurring sources such as any bodily fluid or tissue that contains DNA, including, but not limited to, blood, saliva, cerebrospinal fluid (“CSF”), skin, hair, urine, stool, and mucus, or synthetic sources.
  • the nucleic acids may be PCR products, cosmids, plasmids, naturally occurring or synthetic libraries, and the like. The invention is not intended to be limited in this regard. It should therefore be understood that the invention contemplates analysis, including sequencing, of DNA as well as RNA.
  • RNA amplification methods such as the SMART system and NASBA are known in the art and have been reported by van Gelder et al. PNAS, 1990, 87:1663-1667, Chadwick et al. BioTechniques, 1998, 25:818-822, Brink et al. J Clin Microbiol, 1998, 36(10:3164-3169, Voisset et al. BioTechniques, 2000, 29:236-240, and Zhu et al. BioTechniques, 2001, 30:892-897.
  • the amplification methods described in these references are incorporated by reference herein.
  • the starting amounts of nucleic acids to be sequenced determine the minimum sample requirements. Considering the following bead sizes, with an average of 450 bases in the single stranded region of a template, with an average molecular weight of 325 g/mol per base, Table 2 shows the following:
  • a sample taken from a subject to be tested need only be on the order of 3 ⁇ g.
  • the systems and methods described herein can be utilized to sequence an entire genome of an organism from about 3 ⁇ g of DNA or less. As discussed herein, such sequences can be obtained without the use of optics or extrinsic labels.
  • Target nucleic acids are prepared using any manner known in the art.
  • genomic DNA may be harvested from a sample according to techniques known in the art (see for example Sambrook et al. “Maniatis”). Following harvest, the DNA may be fragmented to yield nucleic acids of smaller length. The resulting fragments may be on the order of hundreds, thousands, or tens of thousands nucleotides in length.
  • the fragments are 200-1000 base pairs in size, or 300-800 base pairs in size, about 200, about 300, about 400, about 500, about 600, about 700, about 800, about 900, or about 1000 base pairs in length, although they are not so limited.
  • Nucleic acids may be fragmented by any means including but not limited to mechanical, enzymatic or chemical means. Examples include shearing, sonication, nebulization, endonuclease (e.g., DNase I) digestion, amplification such as PCR amplification, or any other technique known in the art to produce nucleic acid fragments, preferably of a desired length. As used herein, fragmentation also embraces the use of amplification to generate a population of smaller sized fragments of the target nucleic acid. That is, the target nucleic acids may be melted and then annealed to two (and preferably more) amplification primers and then amplified using for example a thermostable polymerase (such as Taq).
  • a thermostable polymerase such as Taq
  • fragmentation can be followed by size selection techniques to enrich or isolate fragments of a particular length or size.
  • size selection techniques include but are not limited to gel electrophoresis or SPRI.
  • target nucleic acids that are already of sufficiently small size (or length) may be used.
  • target nucleic acids include those derived from an exon enrichment process.
  • the targets may be nucleic acids that naturally exist or can be isolated in shorter, useable lengths such as mRNAs, cDNAs, exons, PCR products (as described above), and the like. See Albert et al. Nature Methods 2007 4(11):903-905 (microarray hybridization of exons and locus-specific regions), Porreca et al. Nature Methods 2007 4(11):931-936, and Okou et al. Nature Methods 2007 4(11):907-909 for methods of isolating and/or enriching sequences such as exons prior to sequencing.
  • the target nucleic acids are typically ligated to adaptor sequences on both the 5′ and 3′ ends.
  • the resulting nucleic acid is referred to herein as a template nucleic acid.
  • the template nucleic acid therefore comprises at least the target nucleic acid and usually comprises nucleotide sequences in addition to the target at both the 5′ and 3′ ends.
  • the template nucleic acids may be engineered such that different templates have identical 5′ ends and identical 3′ ends.
  • the 5′ and 3′ ends in each individual template are preferably different in sequence.
  • Adaptor sequences may comprise sequences complementary to amplification primer sequences, to be used in amplifying the target nucleic acids.
  • One adaptor sequence may also comprise a sequence complementary to the sequencing primer (i.e., the primer from which sequencing occurs).
  • the opposite adaptor sequence may comprise a moiety that facilitates binding of the nucleic acid to a solid support such as but not limited to a bead.
  • a moiety is a biotin molecule (or a double biotin moiety, as described by Diehl et al. Nature Methods, 2006, 3(7):551-559) and such a labeled nucleic acid can therefore be bound to a solid support having avidin or streptavidin groups.
  • the solid support is a bead and in others it is a wall of the reaction chamber (or well) such as a bottom wall or a side wall, or both.
  • the invention contemplates the use of a plurality of template populations, wherein each member of a given plurality shares the same 3′ end but different template populations differ from each other based on their 3′ end sequences.
  • the invention contemplates in some instances sequencing nucleic acids from more than one subject or source. Nucleic acids from a first source may have a first 3′ sequence, nucleic acids from a second source may have a second 3′ sequence, and so on, provided that the first, second, and any additional 3′ sequences are different from each other.
  • the 3′ end which is typically a unique sequence, can be used as a barcode or identifier to label (or identify) the source of the particular nucleic acid in a given well.
  • Templates disposed onto a chemFET array may share identical primer binding sequences. This facilitates the use of an identical primer across microwells and also ensures that a similar (or identical) degree of primer hybridization occurs across microwells.
  • the templates are in a complex referred to herein as a template/primer hybrid. In this hybrid, at least one region of the template is double stranded (i.e., where it is bound to its complementary primer) and in some instances the remaining region of the template is single stranded.
  • this single stranded region that acts as the template for the incorporation of nucleotides to the end of the primer and thus it is also this single stranded region which is ultimately sequenced according to the invention.
  • this single stranded region may be bound by short RNA oligomers, of known or unknown (i.e., random) sequence, and still capable of being sequenced.
  • the template nucleic acid is able to self-anneal thereby creating a 3′ end from which to incorporate nucleotide triphosphates.
  • sequencing primers are hybridized (or annealed, as the terms are used interchangeably herein) to the templates prior to introduction or contact with the chemFET or reaction chamber.
  • the plurality of templates in each microwell may be introduced into the microwells (e.g., via a nucleic acid loaded bead), or it may be generated in the microwell itself.
  • a plurality is defined herein as at least two, and in the context of template nucleic acids in a microwell or on a nucleic acid loaded bead includes tens, hundreds, thousands, ten thousands, hundred thousands, millions, or more copies of the template nucleic acid.
  • the limit on the number of copies will depend on a number of variables including the number of binding sites for template nucleic acids (e.g., on the beads or on the walls of the microwells), the size of the beads, the length of the template nucleic acid, the extent of the amplification reaction used to generate the plurality, and the like. It is generally preferred to have as many copies of a given template per well in order to increase signal to noise ratio as much as possible, as discussed herein.
  • the amplification is a representative amplification.
  • a representative amplification is an amplification that does not alter the relative representation of any nucleic acid species.
  • the template nucleic acid may be amplified prior to or after placement in the well and/or contact with the sensor.
  • Amplification and conjugation of nucleic acids to solid supports such as beads may be accomplished in a number of ways. For example, in one aspect once a template nucleic acid is loaded into a well of the flow cell 200 , amplification may be performed in the well, the resulting amplified product denatured, and sequencing-by-synthesis then performed.
  • the template is amplified in solution and then hybridized to a single primer that is immobilized on the chemFET surface. The use of only one primer type on the surface ensures that only one of the amplified strands is eventually bound to the surface, and the other strand is removed through wash.
  • Amplification methods include but are not limited to emulsion PCR (i.e., water in oil emulsion amplification) as described by Margulies et al. Nature 2005 437(15):376-380 and accompanying supplemental materials, bridge amplification, rolling circle amplification (RCA), concatemer chain reaction (CCR), or other strategies using isothermal or non-isothermal amplification techniques.
  • emulsion PCR i.e., water in oil emulsion amplification
  • RCA rolling circle amplification
  • CCR concatemer chain reaction
  • Bridge amplification can be used to produce a solid support (such as a reaction chamber wall or a bead) having amplified copies of the same template.
  • the method involves contacting template nucleic acids with the chemFET/reaction chamber array at a limiting dilution in order to ensure that reaction chambers contain only a single template.
  • the chemFET surface will typically be coated with two populations of primers. In one embodiment, the chemFET surface is coated with both forward and reverse primers that are complementary to the engineered 5′ and 3′ sequences of the template.
  • the template is bound to the chemFET surface directly and then allowed to hybridize at its free end with a complementary primer on the surface.
  • the primer is extended using unlabeled nucleotides, and the resultant double stranded nucleic acid is then denatured. This results in immobilized copies of the template nucleic acid and its complement in close proximity on the surface. This process is repeated by allowing the template and its complement to hybridize at their free ends to other primers on the surface. The net result is a population of immobilized template and a population of immobilized complement that are interspersed amongst each other.
  • the sequencing-by-synthesis reaction is then carried out using a sequencing primer that binds to one but not both immobilized strands. This effectively selects for one of the strands and ensures that only one strand is sequenced. Either strand can be sequenced since they are complements of each other.
  • the solid support is a bead and the bead is coated with the two primer populations and only a single stranded template nucleic acid, at least initially.
  • This amplification method is described in U.S. Pat. No. 5,641,658 to Adams et al.
  • each solid support surface (whether bead or reaction chamber wall) has bound thereto a specific and unique primer pair that may be but is not limited to a gene specific primer pair.
  • a specific and unique primer pair that may be but is not limited to a gene specific primer pair.
  • One or both of the primers in the pair select for templates in a library that is applied to the solid support. Due to the unique sequence of the primers, it is expected that only the desired template will hybridize and then be amplified and sequenced, as described above.
  • RCA or CCR amplification methods generate concatemers of template nucleic acids that comprise tens, hundreds, thousands or more tandemly arranged copies of the template. Such concatemers may still be referred to herein as template nucleic acids, although they may contain multiple copies of starting template nucleic acids. In some embodiments, they may also be referred to as amplified template nucleic acids. Alternatively, they may be referred to herein as comprising multiple copies of target nucleic acid fragment. Concatemers may contain 2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 500, 1000, or more copies of the starting nucleic acid.
  • Concatemers generated using these or other methods can be used in the sequencing-by-synthesis methods described herein.
  • the concatemers may be generated in vitro apart from the array and then placed into reaction chambers of the array or they may be generated in the reaction chambers.
  • One or more inside walls of the reaction chamber may be treated to enhance attachment and retention of the concatemers, although this is not required.
  • nucleotide incorporation at least in the context of a sequencing-by-synthesis reaction may be detected by a change in charge at the chemFET surface, as an alternative to or in addition to the detection of released hydrogen ions as discussed herein.
  • the concatemers are deposited onto a chemFET surface and/or into a reaction chamber, sequencing-by-synthesis can occur through detection of released hydrogen ions as discussed herein.
  • the invention embraces the use of other approaches for generating concatemerized templates.
  • One such approach is a PCR described by Stemmer et al. in U.S. Pat. No. 5,834,252, and the description of this approach is incorporated by reference herein.
  • chemFET arrays The ability to use template nucleic acids independently of beads and that can be deposited into reaction chambers or onto chemFET surfaces facilitates the use of dense chemFET arrays. As will be understood, denser arrays will typically incorporate more chemFETs and optionally more reaction chambers (where they are used) per array (or chip). In order to accommodate the increased number of chemFETs and optionally reaction chambers, the size of the chemFETs and optionally reaction chambers is reduced. Accordingly, in some instances, it may be preferable to use nucleic acids that are concatemers of the nucleic acid to be sequenced, independently of beads.
  • nucleic acids may be allowed to self-assemble onto a treated chemFET surface, or they may settle into the well (for example, by gravity), or they may be pulled in by magnetic or other force.
  • the invention contemplates the use of such concatemerized template nucleic acids in the pH based sequencing-by-synthesis methods described herein.
  • one approach for generating nucleic acids that comprise multiple copies of a nucleic acid to be sequenced involves amplification of a circular template.
  • the resultant amplified product forms a three dimensional structure that may occupy a spherical volume or other three dimensional volume and shape.
  • the occupied volume may vary, depending on the size of the resultant nucleic acid.
  • the spherical volume may have an average diameter on the order of about 100-300 nm.
  • nucleic acids may be generated in solution (i.e., amplification occurs in solution) and therefore emulsion based techniques or reaction chambers or wells are not necessary in some instances.
  • amplification occurs in solution
  • emulsion based techniques or reaction chambers or wells are not necessary in some instances.
  • each resultant nucleic acid consists of a clonal amplified population of a starting nucleic acid, there will be no cross contamination of nucleic acids and nor does there have to be any physical separation between individual amplification reactions.
  • nucleic acids such as “DNA nanoballs” or “amplicons” are generated in solution and then deposited onto chemFET surfaces and/or into reaction chambers.
  • Linear rolling circle amplification, multiple displacement amplification, and padlock probe rolling circle amplification can all be used to generate clonal amplicons without the need for limiting dilution in order to avoid cross-contamination of nucleic acid templates by each other.
  • the chemFET surfaces may be treated (or patterned) or untreated (or unpatterned). In some instances, treated (or patterned) surfaces are preferred in order to maximize nucleic acid deposition and/or retention onto a surface. It is further known in the art that these nucleic acids may self-assemble onto the chemFET surface provided the chemFET array surface comprises regions to which the nucleic acids bind and optionally regions to which they do not bind. Additionally, the binding of a nucleic acid to one region on the surface will repel the binding of another nucleic acid, thereby precluding the possibility that two or more nucleic acids of different sequence could co-exist at the same chemFET surface.
  • the chemFET array may have an occupancy on the order of greater than 50%, greater than 60%, greater than 70%, greater than 80%, or 90% or greater (i.e., the number of individual chemFET surfaces onto which a single nucleic acid is deposited). It will be understood that, as used herein, the term deposited refers simply to the placement of the nucleic acid in close proximity and potentially in contact with a chemFET surface (and optionally reaction chamber), but it does not require any particular interaction, whether covalent or non-covalent, between the nucleic acid and the chemFET surface.
  • the amplified nucleic acids discussed herein may be attached to the chemFET surface through functionalities incorporated into (e.g., during amplification) or added post-synthesis to the nucleic acid. Such functionalities may be located at adaptor regions within the nucleic acid which are not intended for sequencing according to the methods provided herein.
  • a concatemer may be generated from a circular template having two or more adaptor sequences (or nucleic acids) located upstream and downstream of the nucleic acids being sequenced.
  • the starting (or initial) nucleic acid may consist of a single adaptor sequence and a single nucleic acid to be sequenced and in the process of amplification (such as, for example, RCA) the adaptor sequence is used to separate the copies of the nucleic acid to be sequenced from each other.
  • amplification such as, for example, RCA
  • functionalities present in the adaptor sequences may be used to attach and/or retain the resultant amplified nucleic acids on a chemFET surface and optionally a reaction chamber.
  • Exemplary functionalities include but are not limited to amino groups, sulfhydryl groups, carbonyl groups, biotin, streptavidin, avidin, amine allyl labeled nucleotides, NHS-ester interaction, thioether linkages, and the like.
  • Attachment may be via non-covalent bonds between capture nucleic acids present on the chemFET surface and complementary sequences in the adapter regions, or adsorption to the surface via Van der Waals forces, hydrogen bonding, static charge interactions, ionic and hydrophobic interactions, and the like.
  • Techniques used to attach DNAs to microarrays may also be used to attach the amplified products to the chemFET surface. These techniques include but are not limited to those described by Smirnov, Genes, Chrom & Cancer 40:72-77, 2004 and Beaucage Curr Med Chem 8:1213-1244, 2001.
  • Deposition and/or retention may also be accomplished using magnetic forces.
  • magnetic particles may be incorporated into and/or attached post-synthesis to the amplified nucleic acids (e.g., at regions not intended for sequencing).
  • the methods described herein contemplate the synthesis of the amplified nucleic acids on or in proximity to the chemFET and optionally in a reaction chamber in addition to synthesis in solution followed by deposition onto the chemFET surface. It is expected however that the latter approach will result in a greater degree of occupancy of chemFET surfaces in the array.
  • nucleic acids comprising a plurality of chemFETs each having a surface, and a plurality of nucleic acids, each nucleic acid deposited onto (or attached to) individual chemFET surfaces, wherein each nucleic acid comprises multiple identical copies of an initial nucleic acid to be sequenced.
  • the nucleic acid has a random coil state.
  • Also provided herein is a method for sequencing a nucleic acid present in a reaction chamber of a reaction chamber array, comprising synthesizing a concatemer of a starting nucleic acid, wherein the concatemer has a cross-sectional diameter greater than the diameter of the reaction well, optionally immobilizing (whether covalently or non-covalently) the concatemer in the reaction chamber, and sequencing the concatemer, preferably by sequencing-by-synthesis methods provided herein (e.g., pH based sequencing-by-synthesis methods).
  • sequencing-by-synthesis methods provided herein (e.g., pH based sequencing-by-synthesis methods).
  • reaction chamber has a non-circular cross-section then one or more or an average of cross-sectional dimensions can be used (as can a cross-sectional area) in comparing the concatemer and the reaction chamber sizes or dimensions. It should also be understood that the size of the concatemer relative to the reaction chamber will preclude the presence of more than one concatemer per reaction chamber.
  • the solid support to which the template nucleic acids or primers are bound is referred to herein as the “capture solid support”.
  • the solid support may be a wall of the reaction chamber (or well) including the surface of the chemFET, or a bottom or side wall of the reaction chamber provided such wall is capacitively coupled to the chemFET. If the solid support is a bead, then such bead may be referred to herein as a “capture bead”.
  • Such beads are generally referred to herein as “loaded” with or “bearing” nucleic acid if they have nucleic acids attached to their surface (whether covalently or non-covalently) and/or present in their interior core.
  • Some capture beads comprise a porous surface that allows entry and exit of small compounds such as amplification or sequencing reagents (e.g., dNTPs, co-factors, etc.).
  • This class of beads typically will comprise nucleic acids internally and in this way they function to localize the nucleic acids, optionally without the need to attach the nucleic acids to a solid support.
  • each reaction well comprises only a single capture bead.
  • the degree of saturation of any capture (i.e., sequencing) bead with template nucleic acid to be sequenced may not be 100%. In some embodiments, a saturation level of 10%-100% exists.
  • the degree of saturation of a capture bead with a template refers to the proportion of sites on the bead that are conjugated to template. In some instances this may be at least 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, or it may be 100%.
  • Important aspects of the invention contemplate sequencing a plurality of different template nucleic acids simultaneously. This may be accomplished using the sensor arrays described herein.
  • the sensor arrays are overlayed (and/or integral with) an array of microwells (or reaction chambers or wells, as those terms are used interchangeably herein), with the proviso that there be at least one sensor per microwell.
  • Present in a plurality of microwells is a population of identical copies of a template nucleic acid. There is no requirement that any two microwells carry identical template nucleic acids, although in some instances such templates may share overlapping sequence.
  • each microwell comprises a plurality of identical copies of a template nucleic acid, and the templates between microwells may be different.
  • the microwells may vary in size between arrays.
  • the size of these microwells may be described in terms of a width (or diameter) to height ratio. In some embodiments, this ratio is 1:1 to 1:1.5.
  • the bead to well size e.g., the bead diameter to well width, diameter, or height
  • the microwell size may be described in terms of cross section.
  • the cross section may refer to a “slice” parallel to the depth (or height) of the well, or it may be a slice perpendicular to the depth (or height) of the well.
  • the microwells may be square in cross-section, but they are not so limited.
  • the dimensions at the bottom of a microwell i.e., in a cross section that is perpendicular to the depth of the well) may be 1.5 ⁇ m by 1.5 ⁇ m, or it may be 1.5 ⁇ m by 2 ⁇ m.
  • Suitable diameters include but are not limited to at or about 100 ⁇ m, 95 ⁇ m, 90 ⁇ m, 85 ⁇ m, 80 ⁇ m, 75 ⁇ m, 70 ⁇ m, 65 ⁇ m, 60 ⁇ m, 55 ⁇ m, 50 ⁇ m, 45 ⁇ m, 40 ⁇ m, 35 ⁇ m, 30 ⁇ m, 25 ⁇ m, 20 ⁇ m, 15 ⁇ m, 10 ⁇ m, 9 ⁇ m, 8 ⁇ m, 7 ⁇ m, 6 ⁇ m, 5 ⁇ m, 4 ⁇ m, 3 ⁇ m, 2 ⁇ m, 1 ⁇ m or less.
  • the diameters may be at or about 44 ⁇ m, 32 ⁇ m, 8 ⁇ m, 4 ⁇ m, or 1.5 ⁇ m.
  • Suitable heights include but are not limited to at or about 100 ⁇ m, 95 ⁇ m, 90 ⁇ m, 85 ⁇ m, 80 ⁇ m, 75 ⁇ m, 70 ⁇ m, 65 ⁇ m, 60 ⁇ m, 55 ⁇ m, 50 ⁇ m, 45 ⁇ m, 40 ⁇ m, 35 ⁇ m, 30 ⁇ m, 25 ⁇ m, 20 ⁇ m, 15 ⁇ m, 10 ⁇ m, 9 ⁇ m, 8 ⁇ m, 7 ⁇ m, 6 ⁇ m, 5 ⁇ m, 4 ⁇ m, 3 ⁇ m, 2 ⁇ m, 1 ⁇ m or less.
  • the heights may be at or about 55 ⁇ m, 48 ⁇ m, 32 ⁇ m, 12 ⁇ m, 8 ⁇ m, 6 ⁇ m, 4 ⁇ m, 2.25 ⁇ m, 1.5 ⁇ m, or less.
  • the reaction well dimensions may be (diameter in ⁇ m by height in ⁇ m) 44 by 55, 32 by 32, 32 by 48, 8 by 8, 8 by 12, 4 by 4, 4 by 6, 1.5 by 1.5, or 1.5 by 2.25.
  • the reaction well volume may range (between arrays, and preferably not within a single array) based on the well dimensions. This volume may be at or about 100 picoliter (pL), 90, 80, 70, 60, 50, 40, 30, 20, 10, or fewer pL. In important embodiments, the well volume is less than 1 pL, including equal to or less than 0.5 pL, equal to or less than 0.1 pL, equal to or less than 0.05 pL, equal to or less than 0.01 pL, equal to or less than 0.005 pL, or equal to or less than 0.001 pL.
  • the volume may be 0.001 to 0.9 pL, 0.001 to 0.5 pL, 0.001 to 0.1 pL, 0.001 to 0.05 pL, or 0.005 to 0.05 pL.
  • the well volume is 75 pL, 34 pL, 23 pL, 0.54 pL, 0.36 pL, 0.07 pL, 0.045 pL, 0.0024 pL, or 0.004 pL.
  • each reaction chamber is no greater than about 0.39 pL in volume and about 49 ⁇ m 2 surface aperture, and more preferably has an aperture no greater than about 16 ⁇ m 2 and volume no greater than about 0.064 pL.
  • the invention contemplates a sequencing apparatus for sequencing unlabeled nucleic acid acids, optionally using unlabeled nucleotides, without optical detection and comprising an array of at least 100 reaction chambers.
  • the array comprises 10 3 , 10 4 , 10 5 , 10 6 , 10 7 or more reaction chambers.
  • the pitch (or center-to-center distance between adjacent reaction chambers) is on the order of about 1-10 microns, including 1-9 microns, 1-8 microns, 1-7 microns, 1-6 microns, 1-5 microns, 1-4 microns, 1-3 microns, or 1-2 microns.
  • the nucleic acid loaded beads of which there may be tens, hundreds, thousands, or more, first enter the flow cell and then individual beads enter individual wells.
  • the beads may enter the wells passively or otherwise.
  • the beads may enter the wells through gravity without any applied external force.
  • the beads may enter the wells through an applied external force including but not limited to a magnetic force or a centrifugal force.
  • an external force if an external force is applied, it is applied in a direction that is parallel to the well height/depth rather than transverse to the well height/depth, with the aim being to “capture” as many beads as possible.
  • the wells are not agitated, as for example may occur through an applied external force that is perpendicular to the well height/depth. Moreover, once the wells are so loaded, they are not subjected to any other force that could dislodge the beads from the wells.
  • the Examples provide a brief description of an exemplary bead loading protocol in the context of magnetic beads. It is to be understood that a similar approach could be used to load other bead types.
  • the protocol has been demonstrated to reduce the likelihood and incidence of trapped air in the wells of the flow chamber, uniformly distribute nucleic acid loaded beads in the totality of wells of the flow chamber, and avoid the presence and/or accumulation of excess beads in the flow chamber.
  • each well in the flow chamber contain only one nucleic acid loaded bead. This is because the presence of two beads per well will yield unusable sequencing information derived from two different template nucleic acids.
  • the microwell array may be analyzed to determine the degree of loading of beads into the microwells, and in some instances to identify those microwells having beads and those lacking beads.
  • the ability to know which microwells lack beads provides another internal control for the sequencing reaction.
  • the presence or absence of a bead in a well can be determined by standard microscopy or by the sensor itself.
  • FIGS. 61J and K are images captured from an optical microscope inspection of a microwell array (J) and from the sensor array underlying the microwell array (K). The white spots in both images each represent a bead in a well. Such microwell observation usually is only made once per run particularly since the beads once disposed in a microwell are unlikely to move to another well.
  • the percentage of occupied wells in the well array may vary depending on the methods being performed. If the method is aimed at extracting maximum sequence data in the shortest time possible, then higher occupancy is desirable. If speed and throughout is not as critical, then lower occupancy may be tolerated. Therefore depending on the embodiment, suitable occupancy percentages may be at least 10%, at least 20%, at least 30%, at least 40%, at least 50%, at least 60%, at least 70%, at least 80%, at least 90%, at least 91%, at least 92%, at least 93%, at least 94%, at least 95%, at least 96%, at least 97%, at least 98%, at least 99%, or 100% of the wells.
  • occupancy refers to the presence of one nucleic acid loaded bead in a well and the percentage occupancy refers to the proportion of total wells in an array that are occupied by a single bead. Wells that are occupied by more than one bead typically cannot be used in the analyses contemplated by the invention.
  • the invention therefore contemplates performing a plurality of different sequencing reactions simultaneously.
  • a plurality of identical sequencing reactions is occurring in each occupied well simultaneously. It is this simultaneous and identical incorporation of dNTP within each well that increases the signal to noise ratio.
  • By performing sequencing reactions in a plurality of wells simultaneously a plurality of different nucleic acids are simultaneously sequenced.
  • the methods aim to maximize complete incorporation across all microwells for any given dNTP, reduce or decrease the number of unincorporated dNTPs that remain in the wells after signal detection is complete, and achieve as a high a signal to noise ratio as possible.
  • the template nucleic acids are incubated with a sequencing primer that binds to its complementary sequence located on the 3′ end of the template nucleic acid (i.e., either in the amplification primer sequence or in another adaptor sequence ligated to the 3′ end of the target nucleic acid) and with a polymerase for a time and under conditions that promote hybridization of the primer to its complementary sequence and that promote binding of the polymerase to the template nucleic acid.
  • the primer can be of virtually any sequence provided it is long enough to be unique.
  • the hybridization conditions are such that the primer will hybridize to only its true complement on the 3′ end of the template. Suitable conditions are disclosed in Margulies et al. Nature 2005 437(15):376-380 and accompanying supplemental materials.
  • the amount of sequencing primers and polymerases may be saturating, above saturating level, or in some instances below saturating levels.
  • a saturating level of a sequencing primer or a polymerase is a level at which every template nucleic acid is hybridized to a sequencing primer or bound by a polymerase, respectively.
  • the saturating amount is the number of polymerases or primers that is equal to the number of templates on a single bead. In some embodiments, the level is greater than this, including at least 2 fold, 3 fold, 4 fold, 5 fold, 10 fold, or more than the level of the template nucleic acid. In other embodiments, the number of polymerases and/or primers may be 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, or up to 100% of the number of templates on a single bead in a single well.
  • Suitable polymerases include but are not limited to DNA polymerase, RNA polymerase, or a subunit thereof, provided it is capable of synthesizing a new nucleic acid strand based on the template and starting from the hybridized primer.
  • An example of a suitable polymerase subunit for some but not all embodiments of the invention is the exo-minus (exo ⁇ ) version of the Klenow fragment of E. coli DNA polymerase I which lacks 3′ to 5′ exonuclease activity.
  • Other polymerases include T4 exo ⁇ , Therminator, and Bst polymerases.
  • polymerases with exonuclease activity are preferred.
  • the polymerase may be free in solution (and may be present in wash and dNTP solutions) or it may be bound for example to the beads (or corresponding solid support) or to the walls of the chemFET but preferably not to the ISFET surface itself.
  • the polymerase may be one that is modified to comprise accessory factors including without limitation single or double stranded DNA binding proteins.
  • processivity is the ability of a polymerase to remain bound to a single primer/template hybrid. As used herein, it is measured by the number of nucleotides that a polymerase incorporates into a nucleic acid (such as a sequencing primer) prior to dissociation of the polymerase from the primer/template hybrid.
  • the polymerase has a processivity of at least 100 nucleotides, although in other embodiments it has a processivity of at least 200 nucleotides, at least 300 nucleotides, at least 400 nucleotides, or at least 500 nucleotides.
  • the rate at which a polymerase incorporates nucleotides will vary depending on the particular application, although generally faster rates of incorporation are preferable.
  • the rate of “sequencing” will depend on the number of arrays on chip, the size of the wells, the temperature and conditions at which the reactions are run, etc.
  • the time for a 4 nucleotide cycle may be 50-100 seconds, 60-90 seconds, or about 70 seconds. In other embodiments, this cycle time can be equal to or less than 70 seconds, including equal to or less than 60 seconds, equal to or less than 50 seconds, equal to or less than 40 seconds, or equal to or less than 30 seconds.
  • a read length of about 400 bases may take on the order of 30 minutes, 60 minutes, 1.5 hours, 2 hours, 2.5 hours, 3 hours, 3.5 hours, 4 hours, 4.5 hours, or in some instance 5 or more hours.
  • Table 3 provides estimates for the rates of sequencing based on various array, chip and system configurations contemplated herein. It is to be understood that the invention contemplates even denser arrays than those shown in Table 3. These denser arrays can be characterized as 90 nm CMOS with a pitch of 1.4 ⁇ m and a well size of 1 ⁇ m which may be used with 0.7 ⁇ m beads, or 65 nm CMOS with a pitch of 1 ⁇ m and a well size of 0.5 ⁇ m which may be used with 0.3 ⁇ m beads, or 45 ⁇ m CMOS with a pitch of 0.7 ⁇ m and a well size of 0.3 ⁇ m which can be used with 0.2 ⁇ m beads.
  • the template nucleic acid is also contacted with other reagents and/or cofactors including but not limited to buffer, detergent, reducing agents such as dithiothrietol (DTT, Cleland's reagent), single stranded binding proteins, and the like before and/or while in the well.
  • the polymerase comprises one or more single stranded binding proteins (e.g., the polymerase may be one that is engineered to include one or more single stranded binding proteins).
  • the template nucleic acid is contacted with the primer and the polymerase prior to its introduction into the flow chamber and wells thereof.
  • the primers may be DNA in nature or they may be modified moieties such as PNA or LNA, or they may comprise some other modification such as those described herein, or some combination of the foregoing. It has been found according to the invention that LNA-containing primers bind efficiently to DNA templates under stringent conditions and are still able to mediate a polymerase-mediated extension.
  • the polymerase may be one that incorporates nucleotides into a nucleic acid at a pH of 7-11, 7.5-10.5, 8-10, 8.5-9.5, or at about 9.
  • the enzyme has high activity in low concentrations of dNTPs.
  • the dNTP concentration is 50 ⁇ M, 40 ⁇ M, 30 ⁇ M, 20 ⁇ M, 10 ⁇ M, 5 ⁇ M, and preferably 20 ⁇ M or less.
  • Apyrase is an enzyme that degrades residual unincorporated nucleotides converting them into monophosphate and releasing inorganic phosphate in the process. It is useful for degrading dNTPs that are not incorporated and/or that are in excess. It is important that excess and/or unincorporated dNTP be washed away from all wells after measurements are complete and before introduction of the subsequent dNTP. Accordingly, addition of apyrase between the introduction of different dNTPs is useful to remove unincorporated dNTPs that would otherwise obscure the sequencing data.
  • a homogeneous population of (or a plurality of identical) template nucleic acids is placed into each of a plurality of wells, each well situated over and thus corresponding to at least one sensor.
  • the well contains at least 10, at least 100, at least 1000, at least 10 4 , at least 10 5 , at least 10 6 , or more copies of an identical template nucleic acid.
  • Identical template nucleic acids means that the templates are identical in sequence. Most and preferably all the template nucleic acids within a well are uniformly hybridized to a primer.
  • Uniform hybridization of the template nucleic acids to the primers means that the primer hybridizes to the template at the same location (i.e., the sequence along the template that is complementary to the primer) as every other template/primer hybrid in the well.
  • the uniform positioning of the primer on every template allows the co-ordinated synthesis of all new nucleic acid strands within a well, thereby resulting in a greater signal-to-noise ratio.
  • nucleotides are then added in flow, or by any other suitable method, in sequential order to the flow chamber and thus the wells.
  • the nucleotides can be added in any order provided it is known and for the sake of simplicity kept constant throughout a run.
  • the method involves adding ATP to the wash buffer so that dNTPs flowing into a well displace ATP from the well.
  • the ATP matches the ionic strength of the dNTPs entering the wells and it also has a similar diffusion profile as dNTPs. In this way, influx and efflux of dNTPs during the sequencing reaction do not interfere with measurements at the chemFET.
  • the concentration of ATP used is on the order of the concentration of dNTP used.
  • the dNTP and/or the polymerase may be pre-incubated with divalent cation such as but not limited to Mg 2+ (for example in the form of MgCl 2 ) or Mn 2+ (for example in the form of MnCl 2 ).
  • divalent cations can also be used including but not limited to Ca 2+ , Co 2+ .
  • This pre-incubation (and thus “pre-loading” of the dNTP and/or the polymerase can ensure that the polymerase is exposed to a sufficient amount of divalent cation for proper and necessary functioning even if it is present in a low ionic strength environment. Pre-incubation may occur for 1-60 minutes, 5-45 minutes, or 10-30 minutes, depending on the embodiment, although the invention is not limited to these time ranges.
  • a sequencing cycle may therefore proceed as follows washing of the flow chamber (and wells) with wash buffer (optionally containing ATP), introduction of a first dNTP species (e.g., dATP) into the flow chamber (and wells), release and detection of PPi and then unincorporated nucleotides (if incorporation occurred) or detection of solely unincorporated nucleotides (if incorporation did not occur) (by any of the mechanisms described herein), washing of the flow chamber (and wells) with wash buffer, washing of the flow chamber (and wells) with wash buffer containing apyrase (to remove as many of the unincorporated nucleotides as possible prior to the flow through of the next dNTP, washing of the flow chamber (and wells) with wash buffer, and introduction of a second dNTP species.
  • wash buffer optionally containing ATP
  • This process is continued until all 4 dNTP (i.e., dATP, dCTP, dGTP and dTTP) have been flowed through the chamber and allowed to incorporate into the newly synthesized strands.
  • This 4-nucleotide cycle may be repeated any number of times including but not limited to 10, 25, 50, 100, 200 or more times. The number of cycles will be governed by the length of the template being sequenced and the need to replenish reaction reagents, in particular the dNTP stocks and wash buffers.
  • a dNTP will be ligated to (or “incorporated into” as used herein) the 3′ of the newly synthesized strand (or the 3′ end of the sequencing primer in the case of the first incorporated dNTP) if its complementary nucleotide is present at that same location on the template nucleic acid. Incorporation of the introduced dNTP (and concomitant release of PPi) therefore indicates the identity of the corresponding nucleotide in the template nucleic acid. If no dNTP has been incorporated, no hydrogens are released and no signal is detected at the chemFET surface. One can therefore conclude that the complementary nucleotide was not present in the template at that location.
  • the chemFET will detect a signal.
  • the signal intensity and/or area under the curve is a function of the number of nucleotides incorporated (for example, as may occur in a homopolymer stretch in the template. The result is that no sequence information is lost through the sequencing of a homopolymer stretch (e.g., poly A, poly T, poly C, or poly G) in the template.
  • the sequencing reaction can be run at a range of temperatures. Typically, the reaction is run in the range of 30° C. to 70° C., 30° C. to 65° C., 30-60° C., 35-55° C., 40-50° C., or 40-45° C. It is preferable to run the reaction at temperatures that prevent formation of secondary structure in the nucleic acid. However this must be balanced with the binding of the primer (and the newly synthesized strand) to the template nucleic acid and the reduced half-life of apyrase at higher temperatures. The optimum temperature for the polymerase is also important as the closer the reaction is run to that temperature, the higher the nucleotide incorporation rate will be.
  • Bst polymerase has a optimum temperature of about 65° C.
  • T4 polymerase has an optimum temperature of about 37° C.
  • the optimum temperature will depend upon the polymerase being used. Some embodiments use a temperature of about 41° C. Other embodiments use a temperature that is higher including for example about 45° C., about 50° C. or about 65° C.
  • the solutions, including the wash buffers and the dNTP solutions, are generally warmed to these temperatures in order not to alter the temperature in the wells.
  • the wash buffer containing apyrase however is preferably maintained at a lower temperature in order to extend the half-life of the enzyme. Typically, this solution is maintained at about 4-15° C., and more preferably 4-10° C.
  • chemFET or chemFET array
  • the information obtained via the signal from the chemFET may be provided to a personal computer, a personal digital assistant, a cellular phone, a video game system, or a television so that a user can monitor the progress of the sequencing reactions remotely. This process is illustrated, for example, in FIG. 71 .
  • the nucleotide incorporation reaction can occur very rapidly. As a result, it may be desirable in some instances to slow the reaction down or to slow the diffusion of analytes in the well in order to ensure maximal data capture during the reaction.
  • the diffusion of reagents and/or byproducts can be slowed down in a number of ways including but not limited to addition of packing beads in the wells, and/or the use of polymers such as polyethylene glycol in the wells (e.g., PEG attached to the capture beads and/or to packing beads).
  • the packing beads also tend to increase the concentration of reagents and/or byproducts at the chemFET surface, thereby increasing the potential for signal.
  • the presence of packing beads generally allows a greater time to sample (e.g., by 2- or 4-fold).
  • Data capture rates can vary and be for example anywhere from 10-100 frames per second and the choice of which rate to use will be dictated at least in part by the well size and the presence of packing beads or other diffusion limiting techniques. Smaller well sizes generally require faster data capture rates.
  • each well may also comprise a plurality of smaller beads, referred to herein as “packing beads”.
  • the packing beads may be composed of any inert material that does not interact or interfere with analytes, reagents, reaction parameters, and the like, present in the wells.
  • the packing beads may be magnetic (including superparamagnetic) but they are not so limited.
  • the packing beads and the capture beads are made of the same material (e.g., both are magnetic, both are polystyrene, etc.), while in other embodiments they are made of different materials (e.g., the packing beads are polystyrene and the capture beads are magnetic).
  • the packing beads are generally smaller than the capture beads.
  • the difference in size may vary and may be 5-fold, 10-fold, 15-fold, 20-fold or more.
  • 0.35 ⁇ m diameter packing beads can be used with 5.91 ⁇ m capture beads.
  • Such packing beads are commercially available from sources such as Bang Labs.
  • packing beads may be positioned between the chemFET surface and the nucleic acid loaded bead, in which case they may be introduced into the wells before the nucleic acid loaded beads. In this way, the packing beads prevent contact and thus interference of the chemFET surface with the template nucleic acids bound to the capture beads.
  • a layer of packing beads that is 0.1-0.5 ⁇ m in depth or height would preclude this interaction.
  • the presence of packing beads between the capture bead and the chemFET surface may also slow the diffusion of the sequencing byproducts such as hydrogen ions, thereby facilitating data capture in some embodiments.
  • the packing beads may be positioned all around the nucleic acid loaded beads, in which case they may be added to the wells before, during and/or after the nucleic acid loaded beads. In still other embodiments, the majority of the packing beads may be positioned on top of the nucleic acid loaded beads, in which case they may be added to the wells after the nucleic acid loaded beads. If placed above the nucleic acid loaded beads, the packing beads may act to minimize or prevent altogether dislodgement of nucleic acid loaded beads from wells. In still other embodiments, the reaction wells may comprise packing beads even if nucleic acid loaded beads are not used. It is to be understood that in other embodiments however packing beads are not required as there is no need to slow the diffusion of reaction byproducts such as hydrogen ions.
  • diffusion may also be impacted by including in the reaction chambers viscosity increasing agents.
  • an agent is a polymer that is not a nucleic acid (i.e., a non-nucleic acid polymer).
  • the polymer may be naturally or non-naturally occurring, and it may be of any nature provided it does not interfere with nucleotide incorporation and/or excision and detection thereof except for slowing the diffusion of polymerase, released hydrogen ions, PPi, unincorporated nucleotides, and/or other reaction byproducts or reagents.
  • An example of a suitable polymer is polyethylene glycol (PEG).
  • ekamples include PEO, PEA, dextrans, acrylamides, celluloses (e.g. methyl cellulose), and the like.
  • the polymer may be free in solution (e.g., PEG, DMSO, glycerol, and the like) or it may be immobilized (covalently or non-covalently) to one or more sides of the reaction chamber, to the capture bead (e.g., PEG, PEO, dextrans, and the like), and/or to any packing beads that may be present.
  • Non-covalent attachment may be accomplished via a biotin-avidin interaction.
  • the invention further contemplates in some embodiments the use of soluble counterions that bind to released hydrogen ions and prevent their exit from the well.
  • Counterions having a pKa that is close to the pH of the reaction are preferred.
  • Examples of counterions with diffusion rates that are slower than that of protons (at both 25° C. and 37° C.) include without limitation Cl ⁇ , H 2 PO4 ⁇ , HCO 3 ⁇ , acetate, butyrate, histidyl, formate, lactate, and the like.
  • the counterions are free in solution while in others they are immobilized on a solid support including without limitation reaction chamber walls.
  • kits comprising the various reagents necessary to perform a sequencing reaction and instructions of use according to the methods set forth herein.
  • One preferred kit comprises one or more containers housing wash buffer, one or more containers each containing one of the following reagents: dATP buffer, dCTP buffer, dGTP buffer or dTTP buffer, dATP, dCTP, dGTP and dTTP stocks, apyrase, SSB, polymerase, packing beads, and optionally pyrophosphatase.
  • the kits may comprise only naturally occurring dNTPs.
  • the kits may also comprise one or more wash buffers comprising components as described in the Examples, but are not so limited.
  • the kits may also comprise instructions for use including diagrams that demonstrate the methods of the invention.
  • the Examples provide a proof of principle demonstration of the sequencing of four templates of known sequence.
  • This artificial model is intended to show that embodiments of the apparatuses and systems described herein are able to readout nucleotide incorporation that correlates to the known sequence of the templates. This is not intended to represent typical use of the method or system in the field. The following is a brief description of these methods.

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Physics & Mathematics (AREA)
  • Organic Chemistry (AREA)
  • Molecular Biology (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Zoology (AREA)
  • Wood Science & Technology (AREA)
  • General Physics & Mathematics (AREA)
  • Electrochemistry (AREA)
  • Pathology (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Microbiology (AREA)
  • Biotechnology (AREA)
  • General Engineering & Computer Science (AREA)
  • Genetics & Genomics (AREA)
  • Biophysics (AREA)
  • Computer Hardware Design (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • Manufacturing & Machinery (AREA)
  • Power Engineering (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)
  • Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)

Abstract

Methods and apparatus relating to FET arrays including large FET arrays for monitoring chemical and/or biological reactions such as nucleic acid sequencing-by-synthesis reactions. Some methods provided herein relate to improving signal (and also signal to noise ratio) from released hydrogen ions during nucleic acid sequencing reactions.

Description

    RELATED APPLICATION
  • This application claims priority under 35 U.S.C. §119(e) to U.S. Provisional Applications 61/196,953, 61/198,222, 61/205,626, filed Oct. 22, 2008, Nov. 4, 2008 and Jan. 22, 2009, respectively, the entire contents of all of which are incorporated by reference.
  • FIELD OF THE DISCLOSURE
  • The present disclosure is directed generally to inventive methods and apparatus relating to detection and measurement of one or more analytes including analytes associated with or resulting from a nucleic acid synthesis reaction.
  • BACKGROUND
  • Electronic devices and components have found numerous applications in chemistry and biology (more generally, “life sciences”), especially for detection and measurement of various chemical and biological reactions and identification, detection and measurement of various compounds. One such electronic device is referred to as an ion-sensitive field effect transistor, often denoted in the relevant literature as ISFET (or pHFET). ISFETs conventionally have been explored, primarily in the academic and research community, to facilitate measurement of the hydrogen ion concentration of a solution (commonly denoted as “pH”).
  • More specifically, an ISFET is an impedance transformation device that operates in a manner similar to that of a MOSFET (Metal Oxide Semiconductor Field Effect Transistor), and is particularly configured to selectively measure ion activity in a solution (e.g., hydrogen ions in the solution are the “analytes”). A detailed theory of operation of an ISFET is given in “Thirty years of ISFETOLOGY: what happened in the past 30 years and what may happen in the next 30 years,” P. Bergveld, Sens. Actuators, 88 (2003), pp. 1-20, which publication is hereby incorporated herein by reference (hereinafter referred to as “Bergveld”).
  • FIG. 1 illustrates a cross-section of a p-type (p-channel) ISFET 50 fabricated using a conventional CMOS (Complementary Metal Oxide Semiconductor) process. However, biCMOS (i.e., bipolar and CMOS) processing may also be used, such as a process that would include a PMOS FET array with bipolar structures on the periphery. Alternatively, other technologies may be employed wherein a sensing element can be made with a three-terminal devices in which a sensed ion leads to the development of a signal that controls one of the three terminals; such technologies may also include, for example, GaAs and carbon nanotube technologies. Taking the CMOS example, P-type ISFET fabrication is based on a p-type silicon substrate 52, in which an n-type well 54 forming a transistor “body” is formed. Highly doped p-type (p+) regions S and D, constituting a source 56 and a drain 58 of the ISFET, are formed within the n-type well 54. A highly doped n-type (n+) region B is also formed within the n-type well to provide a conductive body (or “bulk”) connection 62 to the n-type well. An oxide layer 65 is disposed above the source, drain and body connection regions, through which openings are made to provide electrical connections (via electrical conductors) to these regions; for example, metal contact 66 serves as a conductor to provide an electrical connection to the drain 58, and metal contact 68 serves as a conductor to provide a common connection to the source 56 and n-type well 54, via the highly conductive body connection 62. A polysilicon gate 64 is formed above the oxide layer at a location above a region 60 of the n-type well 54, between the source 56 and the drain 58. Because it is disposed between the polysilicon gate 64 and the transistor body (i.e., the n-type well), the oxide layer 65 often is referred to as the “gate oxide.”
  • Like a MOSFET, the operation of an ISFET is based on the modulation of charge concentration (and thus channel conductance) caused by a MOS (Metal-Oxide-Semiconductor) capacitance constituted by the polysilicon gate 64, the gate oxide 65 and the region 60 of the n-type well 54 between the source and the drain. When a negative voltage is applied across the gate and source regions (VGS<0 Volts), a “p-channel” 63 is created at the interface of the region 60 and the gate oxide 65 by depleting this area of electrons. This p-channel 63 extends between the source and the drain, and electric current is conducted through the p-channel when the gate-source potential Vis is negative enough to attract holes from the source into the channel. The gate-source potential at which the channel 63 begins to conduct current is referred to as the transistor's threshold voltage VTH (the transistor conducts when Vis has an absolute value greater than the threshold voltage VTH). The source is so named because it is the source of the charge carriers (holes for a p-channel) that flow through the channel 63; similarly, the drain is where the charge carriers leave the channel 63.
  • In the ISFET 50 of FIG. 1, the n-type well 54 (transistor body), via the body connection 62, is forced to be biased at a same potential as the source 56 (i.e., VSB=0 Volts), as seen by the metal contact 68 connected to both the source 56 and the body connection 62. This connection prevents forward biasing of the p+ source region and the n-type well, and thereby facilitates confinement of charge carriers to the area of the region 60 in which the channel 63 may be formed. Any potential difference between the source 56 and the body/n-type well 54 (a non-zero source-to-body voltage VSB) affects the threshold voltage VTH of the ISFET according to a nonlinear relationship, and is commonly referred to as the “body effect,” which in many applications is undesirable.
  • As also shown in FIG. 1, the polysilicon gate 64 of the ISFET 50 is coupled to multiple metal layers disposed within one or more additional oxide layers 75 disposed above the gate oxide 65 to form a “floating gate” structure 70. The floating gate structure is so named because it is electrically isolated from other conductors associated with the ISFET; namely, it is sandwiched between the gate oxide 65 and a passivation layer 72. In the ISFET 50, the passivation layer 72 constitutes an ion-sensitive membrane that gives rise to the ion-sensitivity of the device. The presence of analytes such as ions in an “analyte solution” 74 (i.e., a solution containing analytes (including ions) of interest or being tested for the presence of analytes of interest) in contact with the passivation layer 72, particularly in a sensitive area 78 above the floating gate structure 70, alters the electrical characteristics of the ISFET so as to modulate a current flowing through the p-channel 63 between the source 56 and the drain 58. The passivation layer 72 may comprise any one of a variety of different materials to facilitate sensitivity to particular ions; for example, passivation layers comprising silicon nitride or silicon oxynitride, as well as metal oxides such as silicon, aluminum or tantalum oxides, generally provide sensitivity to hydrogen ion concentration (pH) in the analyte solution 74, whereas passivation layers comprising polyvinyl chloride containing valinomycin provide sensitivity to potassium ion concentration in the analyte solution 74. Materials suitable for passivation layers and sensitive to other ions such as sodium, silver, iron, bromine, iodine, calcium, and nitrate, for example, are known.
  • With respect to ion sensitivity, an electric potential difference, commonly referred to as a “surface potential,” arises at the solid/liquid interface of the passivation layer 72 and the analyte solution 74 as a function of the ion concentration in the sensitive area 78 due to a chemical reaction (e.g., usually involving the dissociation of oxide surface groups by the ions in the analyte solution 74 in proximity to the sensitive area 78). This surface potential in turn affects the threshold voltage VTH of the ISFET; thus, it is the threshold voltage VTH of the ISFET that varies with changes in ion concentration in the analyte solution 74 in proximity to the sensitive area 78.
  • FIG. 2 illustrates an electric circuit representation of the p-channel ISFET 50 shown in FIG. 1. With reference again to FIG. 1, a reference electrode 76 (a conventional Ag/AgCl electrode) in the analyte solution 74 determines the electric potential of the bulk of the analyte solution 74 itself and is analogous to the gate terminal of a conventional MOSFET, as shown in FIG. 2. In a linear or non-saturated operating region of the ISFET, the drain current ID is given as:

  • I D=β(V GS −V TH−½V DS)V DS,  (1)
  • where VDs is the voltage between the drain and the source, and β is a transconductance parameter (in units of Amps/Volts2) given by:
  • β = μ C ox ( W L ) , ( 2 )
  • where μ represents the carrier mobility, Cox is the gate oxide capacitance per unit area, and the ratio W/L is the width to length ratio of the channel 63. If the reference electrode 76 provides an electrical reference or ground (VG=0 Volts), and the drain current ID and the drain-to-source voltage VDS are kept constant, variations of the source voltage VS of the ISFET directly track variations of the threshold voltage VTH, according to Eq. (1); this may be observed by rearranging Eq. (1) as:
  • V s = - V Th - ( I D β V DS + V DS 2 ) . ( 3 )
  • Since the threshold voltage VTH of the ISFET is sensitive to ion concentration as discussed above, according to Eq. (3) the source voltage VS provides a signal that is directly related to the ion concentration in the analyte solution 74 in proximity to the sensitive area 78 of the ISFET. More specifically, the threshold voltage VTH is given by:
  • V TH = V FB - Q B C ox + 2 φ F , ( 4 )
  • where VFB is the flatband voltage, QB is the depletion charge in the silicon and φF is the Fermi-potential. The flatband voltage in turn is related to material properties such as workfunctions and charge accumulation. In the case of an ISFET, with reference to FIGS. 1 and 2, the flatband voltage contains terms that reflect interfaces between 1) the reference electrode 76 (acting as the transistor gate G) and the analyte solution 74; and 2) the analyte solution 74 and the passivation layer 72 in the sensitive area 78 (which in turn mimics the interface between the polysilicon gate 64 of the floating gate structure 70 and the gate oxide 65). The flatband voltage VFB is thus given by:
  • V FB = E ref - Ψ 0 + χ sol - Φ Si q - Q ss + Q ox C ox , ( 5 )
  • where Eref is the reference electrode potential relative to vacuum, Ψ0 is the surface potential that results from chemical reactions at the analyte solution/passivation layer interface (e.g., dissociation of surface groups in the passivation layer), and χsol is the surface dipole potential of the analyte solution 74. The fourth term in Eq. (5) relates to the silicon workfunction (q is the electron charge), and the last term relates to charge densities at the silicon surface and in the gate oxide. The only term in Eq. (5) sensitive to ion concentration in the analyte solution 74 is Ψ0, as the ion concentration in the analyte solution 74 controls the chemical reactions (dissociation of surface groups) at the analyte solution/passivation layer interface. Thus, substituting Eq. (5) into Eq. (4), it may be readily observed that it is the surface potential Ψ0 that renders the threshold voltage VTH sensitive to ion concentration in the analyte solution 74.
  • Regarding the chemical reactions at the analyte solution/passivation layer interface, the surface of a given material employed for the passivation layer 72 may include chemical groups that may donate protons to or accept protons from the analyte solution 74, leaving at any given time negatively charged, positively charged, and neutral sites on the surface of the passivation layer 72 at the interface with the analyte solution 74. A model for this proton donation/acceptance process at the analyte solution/passivation layer interface is referred to in the relevant literature as the “Site-Dissociation Model” or the “Site-Binding Model,” and the concepts underlying such a process may be applied generally to characterize surface activity of passivation layers comprising various materials (e.g., metal oxides, metal nitrides, metal oxynitrides).
  • Using the example of a metal oxide for purposes of illustration, the surface of any metal oxide contains hydroxyl groups that may donate a proton to or accept a proton from the analyte to leave negatively or positively charged sites, respectively, on the surface. The equilibrium reactions at these sites may be described by:

  • AOH⇄AO+Hs +  (6)

  • AOH2 +⇄AOH+Hs +  (7)
  • where A denotes an exemplary metal, Hs + represents a proton in the analyte solution 74. Eq. (6) describes proton donation by a surface group, and Eq. (7) describes proton acceptance by a surface group. It should be appreciated that the reactions given in Eqs. (6) and (7) also are present and need to be considered in the analysis of a passivation layer comprising metal nitrides, together with the equilibrium reaction:

  • ANH+ 3⇄ANH2+H+,  (7b)
  • wherein Eq. (7b) describes another proton acceptance equilibrium reaction. For purposes of the present discussion however, again only the proton donation and acceptance reactions given in Eqs. (6) and (7) are initially considered to illustrate the relevant concepts.
  • Based on the respective forward and backward reaction rate constants for each equilibrium reaction, intrinsic dissociation constants Ka (for the reaction of Eq. (6)) and Kb (for the reaction of Eq. (7)) may be calculated that describe the equilibrium reactions. These intrinsic dissociation constants in turn may be used to determine a surface charge density σ0 (in units of Coulombs/unit area) of the passivation layer 72 according to:

  • σ0 =−qB,  (8)
  • where the term B denotes the number of negatively charged surface groups minus the number of positively charged surface groups per unit area, which in turn depends on the total number of proton donor/acceptor sites per unit area NS on the passivation layer surface, multiplied by a factor relating to the intrinsic dissociation constants Ka and Kb of the respective proton donation and acceptance equilibrium reactions and the surface proton activity (or pHS). The effect of a small change in surface proton activity (pHS) on the surface charge density is given by:
  • σ 0 pH S = - q B pH S = - q β int , ( 9 )
  • where βint is referred to as the “intrinsic buffering capacity” of the surface. It should be appreciated that since the values of NS, Ka and Kb are material dependent, the intrinsic buffering capacity βint of the surface similarly is material dependent.
  • The fact that ionic species in the analyte solution 74 have a finite size and cannot approach the passivation layer surface any closer than the ionic radius results in a phenomenon referred to as a “double layer capacitance” proximate to the analyte solution/passivation layer interface. In the Gouy-Chapman-Stern model for the double layer capacitance as described in Bergveld, the surface charge density σ0 is balanced by an equal but opposite charge density in the analyte solution 74 at some position from the surface of the passivation layer 72. These two parallel opposite charges form a so-called “double layer capacitance” Cdl (per unit area), and the potential difference across the capacitance Cdl is defined as the surface potential Ψ0, according to:

  • σ0 =C dlΨ0=−σdl  (10)
  • where σdl is the charge density on the analyte solution side of the double layer capacitance. This charge density σdl in turn is a function of the concentration of all ion species or other analyte species (i.e., not just protons) in the bulk analyte solution 74; in particular, the surface charge density can be balanced not only by hydrogen ions but other ion species (e.g., Na+, K+) in the bulk analyte solution.
  • In the regime of relatively lower ionic strengths (e.g., <1 mole/liter), the Debye theory may be used to describe the double layer capacitance Cdl according to:
  • C dl = k ɛ 0 λ ( 11 )
  • where k is the dielectric constant ∈/∈e0 (for relatively lower ionic strengths, the dielectric constant of water may be used), and λ is the Debye screening length (i.e., the distance over which significant charge separation can occur). The Debye length λ is in turn inversely proportional to the square root of the strength of the ionic species in the analyte solution, and in water at room temperature is given by:
  • λ = 0.3 nm I . ( 12 )
  • The ionic strength I of the bulk analyte is a function of the concentration of all ionic species present, and is given by:
  • I = 1 2 s z s 2 c s , ( 13 )
  • where zs is the charge number of ionic species s and cs is the molar concentration of ionic species s. Accordingly, from Eqs. (10) through (13), it may be observed that the surface potential is larger for larger Debye screening lengths (i.e., smaller ionic strengths).
  • The relation between pH values present at the analyte solution/passivation layer interface and in the bulk solution is expressed in the relevant literature by Boltzman statistics with the surface potential Ψ0 as a parameter:
  • ( pH s - pH B ) = q Ψ 0 kT . ( 14 )
  • From Eqs. (9), (10) and (14), the sensitivity of the surface potential Ψ0 particularly to changes in the bulk pH of the analyte solution (i.e., “pH sensitivity”) is given by:
  • ΔΨ 0 Δ pH = - 2.3 kT q α , ( 15 )
  • where the parameter α is a dimensionless sensitivity factor that varies between zero and one and depends on the double layer capacitance Cdl and the intrinsic buffering capacity of the surface βint as discussed above in connection with Eq. (9). In general, passivation layer materials with a high intrinsic buffering capacity βint render the surface potential Ψ0 less sensitive to concentration in the analyte solution 74 of ionic species other than protons (e.g., a is maximized by a large βint). From Eq. (15), at a temperature T of 298 degrees Kelvin, it may be appreciated that a theoretical maximum pH sensitivity of 59.2 mV/pH may be achieved at α=1. From Eqs. (4) and (5), as noted above, changes in the ISFET threshold voltage VTH directly track changes in the surface potential Ψ0; accordingly, the pH sensitivity of an ISFET given by Eq. (15) also may be denoted and referred to herein as ΔVTH for convenience. In exemplary conventional ISFETs employing a silicon nitride or silicon oxynitride passivation layer 72 for pH-sensitivity, pH sensitivities ΔVTH (i.e., a change in threshold voltage with change in pH of the analyte solution 74) over a range of approximately 30 mV/pH to 60 mV/pH have been observed experimentally.
  • Another noteworthy metric in connection with ISFET pH sensitivity relates to the bulk pH of the analyte solution 74 at which there is no net surface charge density σ0 and, accordingly, a surface potential Ψ0 of zero volts. This pH is referred to as the “point of zero charge” and denoted as pHpzc. With reference again to Eqs. (8) and (9), like the intrinsic buffering capacity βint, pHpzc is a material dependent parameter. From the foregoing, it may be appreciated that the surface potential at any given bulk pHB of the analyte solution 74 may be calculated according to:
  • Ψ 0 ( pH B ) = ( pH B - pH pzc ) ΔΨ 0 Δ pH . ( 16 )
  • Table 1 below lists various metal oxides and metal nitrides and their corresponding points of zero charge (pHpzc), pH sensitivities (ΔVTH), and theoretical maximum surface potential at a pH of 9:
  • TABLE 1
    Oxide/ Theoretical Ψ0
    Metal Nitride pHpzc ΔVTH (mV/pH) (mV) @ pH = 9
    Al Al2O3 9.2  54.5 (35° C.) −11
    Zr ZrO2 5.1 50 150
    Ti TiO2 5.5 57.4-62.3 201
    (32° C., pH 3-11)
    Ta Ta2O5 2.9, 2.8 62.87 (35° C.) 384
    Si Si3N4 4.6, 6-7 56.94 (25° C.) 251
    Si SiO2 2.1 43 297
    Mo MoO3 1.8-2.1 48-59 396
    Hf HfO2 7-4-7.6 50-58 81.2
    W WO2 0.3, 0.43, 0.5 50 435
  • Prior research efforts to fabricate ISFETs for pH measurements based on conventional CMOS processing techniques typically have aimed to achieve high signal linearity over a pH range from 1-14. Using an exemplary threshold sensitivity of approximately 50 mV/pH, and considering Eq. (3) above, this requires a linear operating range of approximately 700 mV for the source voltage VS. As discussed above in connection with FIG. 1, the threshold voltage VTH, of ISFETs (as well as MOSFETs) is affected by any voltage VSB between the source and the body (n-type well 54). More specifically, the threshold voltage VTH is a nonlinear function of a nonzero source-to-body voltage VSB. Accordingly, so as to avoid compromising linearity due to a difference between the source and body voltage potentials (i.e., to mitigate the “body effect”), as shown in FIG. 1 the source 56 and body connection 62 of the ISFET 50 often are coupled to a common potential via the metal contact 68. This body-source coupling also is shown in the electric circuit representation of the ISFET 50 shown in FIG. 2.
  • While the foregoing discussion relates primarily to a steady state analysis of ISFET response based on the equilibrium reactions given in Eqs. (6) and (7), the transient or dynamic response of a conventional ISFET to an essentially instantaneous change in ionic strength of the analyte solution 74 (e.g., a stepwise change in proton or other ionic species concentration) has been explored in some research efforts. One exemplary treatment of ISFET transient or dynamic response is found in “ISFET responses on a stepwise change in electrolyte concentration at constant pH,” J. C. van Kerkof, J. C. T. Eijkel and P. Bergveld, Sensors and Actuators B, 18-19 (1994), pp. 56-59, which is incorporated herein by reference.
  • For ISFET transient response, a stepwise change in the concentration of one or more ionic species in the analyte solution in turn essentially instantaneously changes the charge density O∝hd dl on the analyte solution side of the double layer capacitance Cdl. Because the instantaneous change in charge density σdl is faster than the reaction kinetics at the surface of the passivation layer 72, the surface charge density σ0 initially remains constant, and the change in ion concentration effectively results in a sudden change in the double layer capacitance Cdl. From Eq. (10), it may be appreciated that such a sudden change in the capacitance Cdl at a constant surface charge density σ0 results in a corresponding sudden change in the surface potential Ψ0. FIG. 2A illustrates this phenomenon, in which an essentially instantaneous or stepwise increase in ion concentration in the analyte solution, as shown in the top graph, results in a corresponding change in the surface potential Ψ0, as shown in the bottom graph of FIG. 2A. After some time, as the passivation layer surface groups react to the stimulus (i.e., as the surface charge density adjusts), the system returns to some equilibrium point, as illustrated by the decay of the ISFET response “pulse” 79 shown in the bottom graph of FIG. 2A. The foregoing phenomenon is referred to in the relevant literature (and hereafter in this disclosure) as an “ion-step” response.
  • As indicated in the bottom graph of FIG. 2A, an amplitude ΔΨ0 of the ion-step response 79 may be characterized by:
  • ΔΨ 0 = Ψ 1 - Ψ 2 = σ 0 C dl , 1 - σ 0 C dl , 2 = Ψ 1 ( 1 - C dl , 1 C dl , 2 ) , ( 17 )
  • where Ψ1 is an equilibrium surface potential at an initial ion concentration in the analyte solution, Cdl.1 is the double layer capacitance per unit area at the initial ion concentration, Ψ2 is the surface potential corresponding to the ion-step stimulus, and Cdl.2 is the double layer capacitance per unit area based on the ion-step stimulus. The time decay profile 81 associated with the response 79 is determined at least in part by the kinetics of the equilibrium reactions at the analyte solution/passivation layer interface (e.g., as given by Eqs. (6) and (7) for metal oxides, and also Eq. (7b) for metal nitrides). One instructive treatment in this regard is provided by “Modeling the short-time response of ISFET sensors,” P. Woias et al., Sensors and Actuators B, 24-25 (1995) 211-217 (hereinafter referred to as “Woias”), which publication is incorporated herein by reference.
  • In the Woias publication, an exemplary ISFET having a silicon nitride passivation layer is considered. A system of coupled non-linear differential equations based on the equilibrium reactions given by Eqs. (6), (7), and (7a) is formulated to describe the dynamic response of the ISFET to a step (essentially instantaneous) change in pH; more specifically, these equations describe the change in concentration over time of the various surface species involved in the equilibrium reactions, based on the forward and backward rate constants for the involved proton acceptance and proton donation reactions and how changes in analyte pH affect one or more of the reaction rate constants. Exemplary solutions, some of which include multiple exponential functions and associated time constants, are provided for the concentration of each of the surface ion species as a function of time. In one example provided by Woias, it is assumed that the proton donation reaction given by Eq. (6) dominates the transient response of the silicon nitride passivation layer surface for relatively small step changes in pH, thereby facilitating a mono-exponential approximation for the time decay profile 81 of the response 79 according to:

  • Ψ0(t)=ΔΨ0 e −1/τ,  (18)
  • where the exponential function essentially represents the change in surface charge density as a function of time. In Eq. (16), the time constant τ is both a function of the bulk pH and material parameters of the passivation layer, according to:

  • τ=τ0×10pH/2,  (19)
  • where τ0 denotes a theoretical minimum response time that only depends on material parameters. For silicon nitride, Woias provides exemplary values for τ0 on the order of 60 microseconds to 200 microseconds. For purposes of providing an illustrative example, using τ0=60 microseconds and a bulk pH of 9, the time constant τ given by Eq. (19) is 1.9 seconds. Exemplary values for other types of passivation materials may be found in the relevant literature and/or determined empirically.
  • Previous efforts to fabricate two-dimensional arrays of ISFETs based on the ISFET design of FIG. 1 have resulted in a maximum of 256 ISFET sensor elements (or “pixels”) in an array (i.e., a 16 pixel by 16 pixel array). Exemplary research in ISFET array fabrication is reported in the publications “A large transistor-based sensor array chip for direct extracellular imaging,” M. J. Milgrew, M. O. Riehle, and D. R. S. Cumming, Sensors and Actuators, B: Chemical, 111-112, (2005), pp. 347-353, and “The development of scalable sensor arrays using standard CMOS technology,” M. J. Milgrew, P. A. Hammond, and D. R. S. Cumming, Sensors and Actuators, B: Chemical, 103, (2004), pp. 37-42, which publications are incorporated herein by reference and collectively referred to hereafter as “Milgrew et al.” Other research efforts relating to the realization of ISFET arrays are reported in the publications “A very large integrated pH-ISFET sensor array chip compatible with standard CMOS processes,” T. C. W. Yeow, M. R. Haskard, D. E. Mulcahy, H. I. Seo and D. H. Kwon, Sensors and Actuators B: Chemical, 44, (1997), pp. 434-440 and “Fabrication of a two-dimensional pH image sensor using a charge transfer technique,” Hizawa, T., Sawada, K., Takao, H., Ishida, M., Sensors and Actuators, B: Chemical 117 (2), 2006, pp. 509-515, which publications also are incorporated herein by reference.
  • FIG. 3 illustrates one column 85 j of a two-dimensional ISFET array according to the design of Milgrew et al. The column 85 j includes sixteen (16) pixels 80 1 through 80 16 and, as discussed further below in connection with FIG. 7, a complete two-dimensional array includes sixteen (16) such columns 85 j (j=1, 2, 3, . . . 16) arranged side by side. As shown in FIG. 3, a given column 85 j includes a current source ISOURCEj that is shared by all pixels of the column, and ISFET bias/readout circuitry 82 j (including current sink ISINKj) that is also shared by all pixels of the column. Each ISFET pixel 80 1 through 80 16 includes a p-channel ISFET 50 having an electrically coupled source and body (as shown in FIGS. 1 and 2), plus two switches S1 and S2 that are responsive to one of sixteen row select signals (RSEL1 through RSEL16, and their complements). As discussed below in connection with FIG. 7, a row select signal and its complement are generated simultaneously to “enable” or select a given pixel of the column 85 j, and such signal pairs are generated in some sequence to successively enable different pixels of the column one at a time.
  • As shown in FIG. 3, the switch S2 of each pixel 80 in the design of Milgrew et al. is implemented as a conventional n-channel MOSFET that couples the current source ISOURCEj to the source of the ISFET 50 upon receipt of the corresponding row select signal. The switch S1 of each pixel 80 is implemented as a transmission gate, i.e., a CMOS pair including an n-channel MOSFET and a p-channel MOSFET, that couples the source of the ISFET 50 to the bias/readout circuitry 82 j upon receipt of the corresponding row select signal and its complement. An example of the switch S1 1 of the pixel 80 1 is shown in FIG. 4, in which the p-channel MOSFET of the transmission gate is indicated as S1 1P and the n-channel MOSFET is indicated as S1 1N. In the design of Milgrew et al., a transmission gate is employed for the switch S1 of each pixel so that, for an enabled pixel, any ISFET source voltage within the power supply range VDD to VSS may be applied to the bias/readout circuitry 82 j and output by the column as the signal VSj. From the foregoing, it should be appreciated that each pixel 80 in the ISFET sensor array design of Milgrew et al. includes four transistors, i.e., a p-channel ISFET, a CMOS-pair transmission gate including an n-channel MOSFET and a p-channel MOSFET for switch S1, and an n-channel MOSFET for switch S2.
  • As also shown in FIG. 3, the bias/readout circuitry 82 j employs a source-drain follower configuration in the form of a Kelvin bridge to maintain a constant drain-source voltage VDSj and isolate the measurement of the source voltage VSj from the constant drain current ISOURCEj for the ISFET of an enabled pixel in the column 85 j. To this end, the bias/readout circuitry 82 j includes two operational amplifiers A1 and A2, a current sink ISINKj, and a resistor RSDj. The voltage developed across the resistor RSDj due to the current ISINKj flowing through the resistor is forced by the operational amplifiers to appear across the drain and source of the ISFET of an enabled pixel as a constant drain-source voltage VDSj. Thus, with reference again to Eq. (3), due to the constant VDSj and the constant ISOURCEj, the source voltage VSj of the ISFET of the enabled pixel provides a signal corresponding to the ISFETs threshold voltage VTH, and hence a measurement of pH in proximity to the ISFETs sensitive area (see FIG. 1). The wide dynamic range for the source voltage VSj provided by the transmission gate S1 ensures that a full range of pH values from 1-14 may be measured, and the source-body connection of each ISFET ensures sufficient linearity of the ISFETs threshold voltage over the full pH measurement range.
  • In the column design of Milgrew et al. shown in FIG. 3, it should be appreciated that for the Kelvin bridge configuration of the column bias/readout circuitry 82 j to function properly, a p-channel ISFET 50 as shown in FIG. 1 must be employed in each pixel; more specifically, an alternative implementation based on the Kelvin bridge configuration is not possible using an n-channel ISFET. With reference again to FIG. 1, for an n-channel ISFET based on a conventional CMOS process, the n-type well 54 would not be required, and highly doped n-type regions for the drain and source would be formed directly in the p-type silicon substrate 52 (which would constitute the transistor body). For n-channel FET devices, the transistor body typically is coupled to electrical ground. Given the requirement that the source and body of an ISFET in the design of Milgrew et al. are electrically coupled together to mitigate nonlinear performance due to the body effect, this would result in the source of an n-channel ISFET also being connected to electrical ground (i.e., VS=VB=0 Volts), thereby precluding any useful output signal from an enabled pixel. Accordingly, the column design of Milgrew et al. shown in FIG. 3 requires p-channel ISFETs for proper operation.
  • It should also be appreciated that in the column design of Milgrew et al. shown in FIG. 3, the two n-channel MOSFETs required to implement the switches S1 and S2 in each pixel cannot be formed in the n-type well 54 shown in FIG. 1, in which the p-channel ISFET for the pixel is formed; rather, the n-channel MOSFETs are formed directly in the p-type silicon substrate 52, beyond the confines of the n-type well 54 for the ISFET. FIG. 5 is a diagram similar to FIG. 1, illustrating a wider cross-section of a portion of the p-type silicon substrate 52 corresponding to one pixel 80 of the column 85 j shown in FIG. 3, in which the n-type well 54 containing the drain 58, source 56 and body connection 62 of the ISFET 50 is shown alongside a first n-channel MOSFET corresponding to the switch S2 and a second n-channel MOSFET S1 1N constituting one of the two transistors of the transmission gate S1 1 shown in FIG. 4.
  • Furthermore, in the design of Milgrew et al., the p-channel MOSFET required to implement the transmission gate S1 in each pixel (e.g., see S1 1P in FIG. 4) cannot be formed in the same n-type well in which the p-channel ISFET 50 for the pixel is formed. In particular, because the body and source of the p-channel ISFET are electrically coupled together, implementing the p-channel MOSFET S1 1P in the same n-well as the p-channel ISFET 50 would lead to unpredictable operation of the transmission gate, or preclude operation entirely. Accordingly, two separate n-type wells are required to implement each pixel in the design of Milgrew et al. FIG. 6 is a diagram similar to FIG. 5, showing a cross-section of another portion of the p-type silicon substrate 52 corresponding to one pixel 80, in which the n-type well 54 corresponding to the ISFET 50 is shown alongside a second n-type well 55 in which is formed the p-channel MOSFET S1 1P constituting one of the two transistors of the transmission gate S1 1 shown in FIG. 4. It should be appreciated that the drawings in FIGS. 5 and 6 are not to scale and may not exactly represent the actual layout of a particular pixel in the design of Milgrew et al.; rather these figures are conceptual in nature and are provided primarily to illustrate the requirements of multiple n-wells, and separate n-channel MOSFETs fabricated outside of the n-wells, in the design of Milgrew et al.
  • The array design of Milgrew et al. was implemented using a 0.35 micrometer (μm) conventional CMOS fabrication process. In this process, various design rules dictate minimum separation distances between features. For example, according to the 0.35 μm CMOS design rules, with reference to FIG. 6, a distance “a” between neighboring n-wells must be at least three (3) micrometers. A distance “a/2” also is indicated in FIG. 6 to the left of the n-well 54 and to the right of the n-well 55 to indicate the minimum distance required to separate the pixel 80 shown in FIG. 6 from neighboring pixels in other columns to the left and right, respectively. Additionally, according to typical 0.35 μm CMOS design rules, a distance “b” shown in FIG. 6 representing the width in cross-section of the n-type well 54 and a distance “c” representing the width in cross-section of the n-type well 55 are each on the order of approximately 3 μm to 4 μm (within the n-type well, an allowance of 1.2 μm is made between the edge of the n-well and each of the source and drain, and the source and drain themselves have a width on the order of 0.7 μm). Accordingly, a total distance “d” shown in FIG. 6 representing the width of the pixel 80 in cross-section is on the order of approximately 12 μm to 14 μm. In one implementation, Milgrew et al. report an array based on the column/pixel design shown in FIG. 3 comprising geometrically square pixels each having a dimension of 12.8 μm by 12.8 μm.
  • In sum, the ISFET pixel design of Milgrew et al. is aimed at ensuring accurate hydrogen ion concentration measurements over a pH range of 1-14. To ensure measurement linearity, the source and body of each pixel's ISFET are electrically coupled together. To ensure a full range of pH measurements, a transmission gate S1 is employed in each pixel to transmit the source voltage of an enabled pixel. Thus, each pixel of Milgrew's array requires four transistors (p-channel ISFET, p-channel MOSFET, and two n-channel MOSFETs) and two separate n-wells (FIG. 6). Based on a 0.35 micrometer conventional CMOS fabrication process and corresponding design rules, the pixels of such an array have a minimum size appreciably greater than 10 μm, i.e., on the order of approximately 12 μm to 14 μm.
  • FIG. 7 illustrates a complete two-dimensional pixel array 95 according to the design of Milgrew et al., together with accompanying row and column decoder circuitry and measurement readout circuitry. The array 95 includes sixteen columns 85 1 through 85 16 of pixels, each column having sixteen pixels as discussed above in connection with FIG. 3 (i.e., a 16 pixel by 16 pixel array). A row decoder 92 provides sixteen pairs of complementary row select signals, wherein each pair of row select signals simultaneously enables one pixel in each column 85 1 through 85 16 to provide a set of column output signals from the array 95 based on the respective source voltages VS1 through VS16 of the enabled row of ISFETs. The row decoder 92 is implemented as a conventional four-to-sixteen decoder (i.e., a four-bit binary input ROW1-ROW4 to select one of 24 outputs). The set of column output signals VS1 through VS16 for an enabled row of the array is applied to switching logic 96, which includes sixteen transmission gates S1 through S16 (one transmission gate for each output signal). As above, each transmission gate of the switching logic 96 is implemented using a p-channel MOSFET and an n-channel MOSFET to ensure a sufficient dynamic range for each of the output signals VS1 through VS16. The column decoder 94, like the row decoder 92, is implemented as a conventional four-to-sixteen decoder and is controlled via the four-bit binary input COL1-COL4 to enable one of the transmission gates S1 through S16 of the switching logic 96 at any given time, so as to provide a single output signal VS from the switching logic 96. This output signal VS is applied to a 10-bit analog to digital converter (ADC) 98 to provide a digital representation D1-D10 of the output signal VS corresponding to a given pixel of the array.
  • As noted earlier, individual ISFETs and arrays of ISFETs similar to those discussed above have been employed as sensing devices in a variety of chemical and biological applications. In particular, ISFETs have been employed as pH sensors in the monitoring of various processes involving nucleic acids such as DNA. Some examples of employing ISFETs in various life-science related applications are given in the following publications, each of which is incorporated herein by reference: Massimo Barbaro, Annalisa Bonfiglio, Luigi Raffo, Andrea Alessandrini, Paolo Facci and Imrich Barák, “Fully electronic DNA hybridization detection by a standard CMOS biochip,” Sensors and Actuators B: Chemical, Volume 118, Issues 1-2, 2006, pp. 41-46; Toshinari Sakurai and Yuzuru Husimi, “Real-time monitoring of DNA polymerase reactions by a micro ISFET pH sensor,” Anal. Chem., 64(17), 1992, pp 1996-1997; S. Purushothaman, C. Toumazou, J. Georgiou, “Towards fast solid state DNA sequencing,” Circuits and Systems, vol. 4, 2002, pp. IV-169 to IV-172; S. Purushothaman, C. Toumazou, C. P. Ou, “Protons and single nucleotide polymorphism detection: A simple use for the Ion Sensitive Field Effect Transistor,” Sensors and Actuators B: Chemical, Vol. 114, no. 2, 2006, pp. 964-968; A. L. Simonian, A. W. Flounders, J. R. Wild, “FET-Based Biosensors for The Direct Detection of Organophosphate Neurotoxins,” Electroanalysis, Vol. 16, No. 22, 2004, pp. 1896-1906; C. Toumazou, S. Purushothaman, “Sensing Apparatus and Method,” United States Patent Application 2004-0134798, published Jul. 15, 2004; and T. W. Koo, S. Chan, X. Su, Z. Jingwu, M. Yamakawa, V. M. Dubin, “Sensor Arrays and Nucleic Acid Sequencing Applications,” United States Patent Application 2006-0199193, published Sep. 7, 2006.
  • In general, the development of rapid and sensitive nucleic acid sequencing methods utilizing automated DNA sequencers has significantly advanced the understanding of biology. The term “sequencing” refers to the determination of a primary structure (or primary sequence) of an unbranched biopolymer, which results in a symbolic linear depiction known as a “sequence” that succinctly summarizes much of the atomic-level structure of the sequenced molecule. Nucleic acid (such as DNA) sequencing particularly refers to the process of determining the nucleotide order of a given nucleic acid fragment. Analysis of entire genomes of viruses, bacteria, fungi, animals and plants is now possible, but such analysis generally is limited due to the cost and time required to sequence such large genomes. Moreover, present conventional sequencing methods are limited in terms of their accuracy, the length of individual templates that can be sequenced, and the rate of sequence determination.
  • Despite improvements in sample preparation and sequencing technologies, none of the present conventional sequencing strategies, including those to date that may involve ISFETs, has provided the cost reductions required to increase throughput to levels required for analysis of large numbers of individual human genomes. The ability to sequence many human genomes facilitates an analysis of the genetic basis underlying disease (e.g., such as cancer) and aging, for example. Some recent efforts have made significant gains in both the ability to prepare genomes for sequencing and to sequence large numbers of templates simultaneously. However, these and other efforts are still limited by the relatively large size of the reaction volumes, as well as the need for special nucleotide analogues, and complex enzymatic or fluorescent methods to “read out” nucleotide sequence.
  • SUMMARY
  • Aspects of the invention relate in part to the use of large arrays of chemically sensitive FETs (chemFETs) or more specifically ISFETs for monitoring reactions, including for example nucleic acid (e.g., DNA) sequencing reactions, based on monitoring analytes present, generated or used during a reaction. More generally, arrays including large arrays of chemFETs may be employed to detect and measure static and/or dynamic amounts or concentrations of a variety of analytes (e.g., hydrogen ions, other ions, non-ionic molecules or compounds, etc.) in a variety of chemical and/or biological processes (e.g., biological or chemical reactions, cell or tissue cultures or monitoring, neural activity, nucleic acid sequencing, etc.) in which valuable information may be obtained based on such analyte measurements. Such chemFET arrays may be employed in methods that detect analytes and/or methods that monitor biological or chemical processes via changes in charge at the chemFET surface. Accordingly, the systems and methods shown herein provide uses for chemFET arrays that involve detection of analytes in solution and/or detection of change in charge bound to the chemFET surface.
  • Methods are presented for maintaining or increasing signal (and thus signal-to-noise ratio) when using very large chemFET arrays, and in particular when increasing the density of a chemFET array (and concomitantly decreasing the area of any single chemFET within the array). It has been found that as chemFET area decreases in order to accommodate an ever increasing number of sensors on a given array, the signal that can be obtained from a single chemFET may in some instances decrease. The invention provides in some aspects and embodiments methods for overcoming this limitation.
  • Of particular importance is the ability to increase signal during a nucleic acid synthesis reaction, and more particularly increasing signal attributable to hydrogen ions that are generated during such a reaction.
  • In this context, some methods of the invention involve increasing the efficiency with which released (or generated) hydrogen ions are detected. It has been determined in the course of our work that released hydrogen ions may be sequestered in a reaction chamber that overlays the chemFET, thereby precluding their detection by the chemFET. This disclosure therefore provides in some aspects methods and compositions for reducing buffering capacity of the solution within which such reactions are carried out or reducing buffering capacity of solid supports that are in contact with such solution. In this way, a greater proportion of the hydrogen ions released during a nucleic acid synthesis reaction (such as one that is part of a sequencing-by-synthesis process) are detected by the chemFET rather than being for example sequestered by buffering components in the reaction solution or chamber.
  • Additionally or alternatively, aspects of the invention that monitor and/or measure hydrogen ion release (or pH) may be performed in an environment with reduced (i.e., no, low or limited) buffering capacity so as to maximally detect released hydrogen ions. As an example, the invention provides a method for synthesizing a nucleic acid comprising incorporating nucleotides into a nucleic acid in an environment with no or limited buffering capacity. Examples of an environment with reduced buffering capacity (or activity) include one that lacks a buffer, one that includes a buffer (or buffering) inhibitor, and one in which pH changes on the order of 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6. 0.7, 0.8, 0.9. or 1.0 pH units are detectable for example via a chemFET and more particularly an ISFET. The method may be performed in a solution or a reaction chamber that is in contact with or capacitively coupled to a chemFET such as an ISFET. The chemFET (or ISFET) and/or reaction chamber may be in array of chemFETs or reaction chambers, respectively. The reactions are typically carried out at a pH (or a pH range) at which the polymerase is active. An exemplary pH range is 6-9.5, although the invention is not so limited.
  • In a related aspect, there is shown a method for sequencing a nucleic acid comprising contacting and incorporating known nucleotides into a plurality of identical nucleic acids in a reaction chamber in contact with or capacitively coupled to an ISFET, wherein the nucleic acids are covalently bound to a single bead in the reaction chamber, and detecting hydrogen ions released upon nucleotide incorporation in the presence of no or limited buffering activity. In other embodiments, the single bead is at least 50%, at least 60%, at least 70%, or at least 80% saturated with nucleic acids. In some embodiments, the single bead is at least 90% saturated with nucleic acids. In still other embodiments, the single bead is at least 95% saturated with nucleic acids. The bead may have a diameter of about 1 micron to about 10 microns, or about 1 micron to about 7 microns, or about 1 micron to about 5 microns, including a diameter of about 1 micron, about 2 microns, about 3 microns, about 4 microns, about 5 microns, about 6 microns, about 7 microns, about 8 microns, about 9 microns, or about 10 microns.
  • In these and in other aspects and embodiments, the chemFET or ISFET arrays may comprise 256 chemFETs or ISFETs. The chemFET or ISFET array may have a center-to-center spacing (between adjacent chemFETs or ISFETs) of 1-10 microns. In some embodiments, the center-to-center spacing is about 9 microns, about 8 microns, about 7 microns, about 6 microns, about 5 microns, about 4 microns, about 3 microns, about 2 microns or about 1 micron. In particular embodiments, the center-to-center spacing is about 5.1 microns or about 2.8 microns. In various embodiments, the chemFET or ISFET comprises a passivation layer that is or is not bound to a nucleic acid.
  • In these and in other aspects and embodiments, the reaction chamber may comprise a solution having no buffer or low buffer concentration. The methods described herein may be performed in a weak buffer. Alternatively or additionally, the reaction chamber may comprise a solution having a buffering inhibitor. The reaction chamber may or may not comprise packing beads. In some embodiments, the reaction chamber is in contact with a single ISFET. In some embodiments, the reaction chamber has a volume of equal to or less than about 1 picoliter (pL).
  • In some embodiments, the nucleic acids are sequencing primers. The nucleic acids may be hybridized to template nucleic acids or to concatemers of identical template nucleic acids. In still other embodiments, the nucleic acids are self-priming template nucleic acids. In still other embodiments, the nucleic acids are nicked double-stranded nucleic acids.
  • In these and in other aspects and embodiments, the nucleotides may be unblocked. In some embodiments, the nucleotides are not extrinsically labeled. In some embodiments, nucleic acids are synthesized or nucleotides are incorporated using a polymerase that is free in solution. In some embodiments, nucleic acids are synthesized or nucleotides are incorporated using a polymerase that is immobilized. In related embodiments, the polymerase is immobilized to the bead, or to a separate bead. The polymerase may be provided in a mixture of polymerases, including a mixture of 2, 3 or more polymerases.
  • In another aspect, there is provided a method for synthesizing a nucleic acid comprising incorporating nucleotides into a nucleic acid in the presence of a buffering inhibitor. In one embodiment, the method further comprises detecting incorporation of nucleotides by detecting hydrogen ion release.
  • In another aspect, there is provided a method for determining incorporation of a nucleotide triphosphate into a newly synthesized nucleic acid comprising combining a known nucleotide triphosphate, a template/primer hybrid, a buffering inhibitor and a polymerase, in a solution in contact with or capacitively coupled to a chemFET, and detecting a signal at the chemFET, wherein detection of the signal indicates incorporation of the known nucleotide triphosphate into the newly synthesized nucleic acid. In one embodiment, the signal indicates release of hydrogen ions as a result of nucleotide incorporation. In various embodiments, the nucleic acid is a plurality of identical nucleic acids, the nucleotide triphosphates are a plurality of nucleotide triphosphates, and the hybrids are a plurality of hybrids.
  • The buffering inhibitor may be a plurality of random sequence oligoribonucleotides such as but not limited to RNA hexamers, or it may be a sulfonic acid surfactant such as but not limited to poly(ethylene glycol) 4-nonylphenyl 3-sulfopropyl ether (PNSE) or a salt thereof, or it may be poly(styrenesulfonic acid), poly(diallydimethylammonium), or tetramethyl ammonium, or a salt thereof.
  • The buffering inhibitor may also be a phospholipid. The phospholipids may be naturally occurring or non-naturally occurring phospholipids. Examples of phospholipids to be used as buffering inhibitors include but are not limited to phosphatidylcholine, phosphatidylethanolamine, phosphatidylglycerol, and phosphatidylserine. In some embodiments, phospholipids may be coated on the chemFET surface (or reaction chamber surface). Such coating may be covalent or non-covalent. In other embodiments, the phospholipids exist in solution.
  • Still other methods relate to variations on sequencing-by-synthesis methods that increase the number of released hydrogen ions, again resulting in an increased signal (and signal to noise ratio). In some methods, the number of hydrogen ions released per nucleotide incorporation are increased at least two-fold by combining a nucleotide incorporation event with a nucleotide excision event. An example of such a process is a nick translation reaction in which a nucleotide is incorporated at a first position and another nucleotide is excised from a second, usually adjacent, position along a double stranded region of a nucleic acid. The incorporation and excision each release one hydrogen ion, and thus the coupling of the two events amplifies the number of hydrogen ions per incorporation, thereby increasing signal.
  • Thus, in one aspect, there is provided a method comprising performing a nick translation reaction along the length of a nicked, double stranded nucleic acid, and detecting hydrogen ions released as a result of the nick translation reaction. In a related aspect, there is provided a method comprising incorporating a first nucleotide at a first position on a nucleic acid and excising a second nucleotide at a second position on the nucleic acid, and detecting hydrogen ions released as a result of nucleotide incorporation and excision. In another aspect, the there is provided a method comprising incorporating a first known nucleotide at a first position on a nucleic acid and excising a second nucleotide at a second adjacent position on the nucleic acid, and detecting hydrogen ions released as a result of nucleotide incorporation and excision. In still another aspect, there is provided a method comprising sequentially excising a nucleotide and incorporating another nucleotide at separate positions along the length of a nicked, double stranded nucleic acid, and detecting hydrogen ions released from a combined nucleotide excision and nucleotide incorporation, wherein released hydrogen ions are indicative of nucleotide incorporation and nucleotide excision. And in yet another aspect, there is provided a method comprising sequentially contacting a nicked, double stranded nucleic acid with each of four nucleotides in the presence of a polymerase, and detecting hydrogen ions released following contact with each of the four nucleotides, wherein released hydrogen ions are indicative of nucleotide incorporation.
  • In another aspect, there is provided a method comprising detecting excision of a first nucleotide and incorporation of a second known nucleotide in a nicked, double stranded nucleic acid, in a solution in contact with or capacitively coupled to a ISFET. In one embodiment, the nicked, double stranded nucleic acid is a plurality of nicked, double stranded nucleic acids.
  • In still another aspect, there is provided a method comprising detecting excision of a nucleotide and incorporation of another nucleotide in a plurality of nicked double stranded nucleic acid present in a reaction chamber in contact with or capacitively coupled to an ISFET. In some embodiment, the reaction well is in a reaction chamber array and the ISFET is in a ISFET array. In some embodiments, the ISFET array comprises 256 ISFET.
  • In another related aspect, a method is disclosed for improving signal from a sequencing-by-synthesis reaction comprising performing a sequencing-by-synthesis reaction using a nick, double stranded template nucleic acid, wherein at least one nucleotide incorporation event is coupled to a nucleotide excision event, and wherein nucleotide incorporation events are detected by generation of a sequencing reaction byproduct. In some embodiments, the sequencing reaction byproduct is hydrogen ions. In some embodiments, the hydrogen ions are detected by an ISFET, which optionally may be present in an ISFET array.
  • The methods described herein may be performed in order to monitor reactions such as nick translation reactions, nucleotide incorporations events and/or nucleotide excision events. They may also be performed in order to analyze a nucleic acid such as a template nucleic acid (which may be provided as a nicked, double stranded nucleic acid). Such analysis may include sequencing the template nucleic acid.
  • In some embodiments, released hydrogen ions are detected using an ISFET and/or an ISFET array. The ISFET array may comprise 256 ISFETs (i.e., it may contain 256 or more ISFETs). In some embodiments, the ISFET array is overlayed with a reaction chamber array.
  • In still other methods, the number of template nucleic acids used per sensor, and optionally per reaction chamber, is increased. Since the sequencing-by-synthesis reactions contemplated by the invention typically occur simultaneously on a plurality of identical template nucleic acids, increasing the number of templates increases the number of sequencing byproduct (such as hydrogen ions) released per simultaneous nucleotide incorporation, thereby increasing signal that can be detected. Similarly, increasing the number of templates immobilized to an ISFET surface, as contemplated by some aspects of the invention, increases the magnitude of the charge change observed following nucleotide incorporation.
  • In some aspects described herein, increasing the concentration of the nucleic acids to be sequenced also serves to increase signal to noise ratio. Therefore in some instances decreasing the reaction volume (or the reaction chamber volume) does not result in a decreased signal to noise ratio, and can in fact result in an increased signal to noise ratio. In some instances, this may happen even if the total number of nucleic acids being sequenced stays the same or is reduced.
  • Thus, in another aspect, the invention provides a method for sequencing nucleic acids comprising generating a plurality of template nucleic acids each comprising multiple, tandemly arranged, identical copies of a target nucleic acid fragment, placing single template nucleic acids in reaction chambers of a reaction chamber array, and simultaneously sequencing multiple template nucleic acids in reaction chambers of the reaction chamber array. In a related aspect, two or more template nucleic acids which comprise multiple, tandemly arranged, identical copies of a target nucleic acid (or target nucleic acid fragment) are placed in each reaction chamber. In this aspect, it is to be understood that the target nucleic acids (or target nucleic acid fragments) are identical within a given chamber. The number of copies per template may however vary, although preferably may also be similar or identical. In some embodiments, sequencing multiple target nucleic acid fragments comprises detecting released hydrogen ions.
  • In some embodiments, the template nucleic acids are generated using rolling circle amplification. In some embodiments, the template nucleic acids are attached to reaction chambers. In some embodiments, the reaction chamber array comprises 102, 103, 104, 105, 106 or 107 reaction chambers. In some embodiments, individual reaction chambers in the reaction chamber array are in contact with or capacitively coupled to an chemFET. In some embodiments, the chemFET is in a chemFET array, and the chemFET array may optionally comprise 102, 103, 104, 105, 106 or 107 chemFETs. The chemFET and chemFET array may be an ISFET and an ISFET array.
  • In another aspect, a method is provided for sequencing a nucleic acid comprising generating a plurality of template nucleic acids each comprising multiple identical copies of a target nucleic acid (or fragment), placing single template nucleic acids in individual reaction chambers of a reaction chamber array, and sequencing multiple template nucleic acids in reaction chambers of the reaction chamber array, wherein the single template nucleic acid has a cross-sectional area greater than a cross-sectional area of the reaction chamber.
  • In one embodiment, single template nucleic acids are attached to single reaction chambers in the reaction chamber array (i.e., only one template nucleic acid is attached per reaction chamber). In one embodiment, single template nucleic acids are directly attached to single reaction chambers in the reaction chamber array. In some embodiments, the nucleic acid is not attached to the reaction chamber.
  • In still another aspect, an apparatus is provided that comprises an array of chemFET each having a surface, and a plurality of template nucleic acids each comprising multiple identical copies of a target nucleic acid (or fragment), wherein single template nucleic acids are present on the surface of an individual chemFET. It is to be understood that the target nucleic acids within a template nucleic acid will be identical but that those between template nucleic acids will typically be different from each other. In other words, each template in this aspect is clonal. In one embodiment, single nucleic acids are attached to the surface of individual chemFET. In one embodiment, the single nucleic acids are directly attached to the surface of individual chemFET. In some embodiments, single nucleic acids are not attached to the surface of individual chemFET.
  • Thus, it will be appreciated that in some embodiments, nucleic acids are present in a reaction chamber but are not attached to the surface of a bead, although they may be attached or in contact with the chemFET surface or a surface of the reaction chamber. Thus, in some embodiments, the reaction chambers comprise the nucleic acids to be sequenced even in the absence of beads. In these latter embodiments, the nucleic acid within a reaction chamber may comprise multiple (amplified) copies of the same nucleic acid to be sequenced. Single nucleic acids of this type are deposited within single reaction chambers. These nucleic acids need not be attached to the chemFET or reaction chamber surface. Alternatively, a plurality of amplified and physically separate nucleic acids may be present at or near a chemFET surface, and optionally within a reaction chamber.
  • The methods provided herein contemplate that the nucleic acids may be amplified while in contact with or near the chemFET surface, and optionally within the reaction chamber, or that they may be amplified apart from either the chemFET and/or reaction chamber array and then deposited onto a chemFET surface and/or into a reaction chamber.
  • Another aspect contemplates increasing the number of template nucleic acids present in or on nucleic acid-bearing beads. Thus, in one aspect the invention provides a bead having a diameter less than 10 microns and having 1-5×106 nucleic acids bound to its surface. In some embodiments, the bead has a diameter of about 1 micron, about 3 microns, about 5 microns, or about 7 microns. In still other embodiments, the bead has a diameter of about 0.5 microns or about 0.1 microns. It will be understood that although such beads are characterized in some instances according to their diameter, they need not be completely spherical in shape. In such instances, the diameter may refer to the diameter averaged over a number of dimensions through the bead. In some embodiments, the bead comprises 1×106 nucleic acids, 2×106 nucleic acids, 3×106 nucleic acids, or 4×106 nucleic acids bound to its surface. In some embodiments, the nucleic acids are 5-50 nucleotides in length, 10-50 nucleotides in length, or 20-50 nucleotides in length. In still other embodiments, the nucleic acids are 50-1000 nucleotides in length or 1000-10000 nucleotides in length. The nucleic acids attached to and/or present in a bead are typically identical.
  • In some embodiments, the nucleic acids are synthetic nucleic acids (e.g., they have been synthesized using a nucleic acid synthesizer). In some embodiments, the nucleic acids are amplification products.
  • In some embodiments, the nucleic acids are covalently bound to the surface of the bead.
  • In some embodiments, the nucleic acids are bound to the surface of the bead with one or more non-nucleic acid polymers. In some embodiments, the non-nucleic acid polymers are polyethylene glycol (PEG) polymers. The PEG polymers may be of varying lengths. In some embodiments, one, some or all of the non-nucleic acid polymers comprises a plurality of functional groups for nucleic acid binding. In some embodiments, the non-nucleic acid polymers are dextran polymers and/or chitosan polymers. In some embodiments, the non-nucleic acid polymers include PEG polymers and dextran polymers. In some embodiments, the non-nucleic acid polymers include PEG polymers and chitosan polymers. The non-nucleic acid polymers may be linear or branched.
  • In some embodiments, the nucleic acids are bound to a dendrimer that is bound to a bead. In some embodiments, the nucleic acids are bound to a dendrimer that is bound to a PEG polymer.
  • In some embodiments, the nucleic acids are bound to the bead with self-assembling acrylamide monomers.
  • In various of these embodiments, the methods used to increase the number of nucleic acids per bead provide no or minimal buffering to the environment.
  • In some embodiments, the bead is non-paramagnetic. In some embodiments, the bead has a density between 1-3 g/cm3. In some embodiments, the bead has a density of about 2 g/cm3. In some embodiments, the bead is a silica bead. In some embodiments, the bead is a silica bead with an epoxide coat.
  • In a related aspect, a method is disclosed, comprising simultaneously incorporating known nucleotides into a plurality of the nucleic acids immobilized to and/or in a bead including but not limited to any of the foregoing beads. Immobilized as used herein includes but is not limited to covalent or non-covalent attachment to a bead surface or interior and/or simply physical retention within a porous bead, as described in more detail herein. A plurality of these nucleic acids may be without limitation 2-102, 2-103, 2-104, 2-105, 2-106, 2-2×106, 2-3×106, 2-4×106 or 2-5×106 nucleic acids. Thus in some embodiments, the nucleotides are incorporated into at least 106 nucleic acids, at least 2×106 nucleic acids, at least 3×106 nucleic acids, or at least 4×106 nucleic acids. It will be understood that the maximum number of nucleic acids into which nucleotides may be incorporated is the maximum number of nucleic acids immobilized to and/or in the bead. In some embodiments, the method further comprises detecting nucleotide incorporation. In some embodiments, nucleotide incorporation is detected non-enzymatically. In some embodiments, nucleotide incorporation is detected by detecting released hydrogen ions.
  • In some embodiments, the bead is in a reaction chamber, and optionally the only bead in the reaction chamber. In some embodiments, the reaction chamber is in contact with or capacitively coupled to an ISFET. In some embodiments, the ISFET is in an ISFET array. In some embodiments, the ISFET array comprises 10, 102, 103, 104, 105 or 106 ISFET.
  • In some embodiments, the bead has a diameter of less than 6 microns, less than 3 microns, or about 1 micron. The bead may have a diameter of about 1 micron up to about 7 microns, or about 1 micron up to about 3 microns.
  • In some embodiments, the nucleic acids are self-priming template nucleic acids.
  • Thus, it will be understood that the invention contemplates sequencing of nucleic acids that are localized near a sensor such as an ISFET sensor (referred to herein as an ISFET), and optionally in a reaction chamber. The nucleic acids may be localized in a variety of ways including attachment to a solid support such as a bead surface, a bead interior or some combination of bead surface and interior, as discussed above. Typically, the bead is present in a reaction chamber, although the methods may also be carried out in the absence of reaction chambers. The solid support may also be the sensor surface or a wall of a reaction chamber that is capacitively coupled to the sensor.
  • The localized nucleic acids are typically a plurality of identical nucleic acids. The invention therefore further contemplates amplification of nucleic acids while in contact with the chemFET (e.g., ISFET) array (e.g., in the reaction chamber) followed by sequencing, with or without beads. The invention alternatively contemplates introducing a previously amplified population of nucleic acids to individual sensors of a chemFET array, and optionally into individual reaction chambers, with or without beads.
  • Nucleic acids present in “porous” beads (or porous microparticles, porous microspheres or porous microcapsules, as the terms are used interchangeably herein) may be amplified and sequenced while individual beads are in contact with individual chemFET sensors, optionally in individual reaction chambers. Bridge amplification is one exemplary method for attaching identical nucleic acids onto a solid support such as a bead surface, a chemFET surface, or a reaction chamber interior surface (e.g., a wall).
  • The nucleic acid-bearing beads used in various aspects and embodiments of the invention include beads having nucleic acids attached to their surface, beads having nucleic acids in their internal core, or beads having nucleic acids attached to their surface and in their internal core. Beads having nucleic acids in their internal core preferably have a porous surface that allows amplification and/or sequencing reagents to move into and out of the bead but that retains the nucleic acids within the bead. Such beads therefore prevent the nucleic acids of interest from diffusing a significant distance away from the sensor, including for example diffusing out of a reaction chamber. The nucleic acids present in such beads may or may not be physically attached to the beads but they are nevertheless immobilized in the bead.
  • Accordingly, in another aspect, a disclosed method comprises detecting hydrogen ions as nucleotides are individually contacted with and incorporated into a plurality of identical nucleic acids in a reaction chamber in contact with or capacitively coupled to an ISFET, wherein the nucleic acids are present in a porous microparticle. In a related aspect, the invention provides a method comprising detecting hydrogen ions as unblocked deoxyribonucleotides are individually contacted with and incorporated into a nucleic acid, in a reaction chamber in contact with or capacitively coupled to an ISFET, wherein the nucleic acids are present in a porous microparticle. In some embodiments, the porous microparticle is hollow (i.e., it has a hollow core), while in other embodiments it has a porous core.
  • Still another aspect of the disclosure provides a method for sequencing nucleic acids comprising generating a porous microparticle comprising a single template nucleic acid (i.e., only a single template nucleic acid in the porous microparticle, initially) and polymerases, amplifying the single template nucleic acid in the porous microparticle, and sequencing amplified template nucleic acids in the porous microparticle.
  • In some embodiments, the amplified nucleic acids are sequenced in a reaction chamber comprising a single microparticle (i.e., only a single microparticle in the reaction chamber). The reaction chamber may be present in a reaction chamber array, and optionally the reaction chamber and/or the reaction chamber array may be in contact with or capacitively coupled respectively to a single ISFET or an ISFET array. In some embodiments, the reaction chambers in the reaction chamber array and/or the ISFETs in the ISFET array have a center-to-center distance (between adjacent reaction chambers or ISFETs) ranging from about 1 micron to about 10 microns.
  • In some embodiments, the method further comprises generating the single template nucleic acids by fragmenting a larger nucleic acid (such as a target nucleic acid).
  • In some embodiments, the amplified nucleic acids are sequenced with unlabeled nucleotide triphosphates and/or unblocked nucleotide triphosphates.
  • In still another aspect, a disclosed method comprises providing in a reaction chamber a single porous microparticle internally comprising a plurality of identical template nucleic acids, and sequencing the plurality of identical template nucleic acids simultaneously. As used herein, “internally comprising” means that one, some or all of the nucleic acids are partially or completely present in the core of the porous microparticle. The plurality of identical template nucleic acids may be sequenced using a sequencing-by-synthesis method, as described herein. The sequencing may comprise non-enzymatic detection of nucleotide incorporation. The reaction chamber may be in contact with or capacitively coupled to an ISFET, and/or it may be present in a reaction chamber array which is in contact with or capacitively coupled to an ISFET array.
  • In another aspect, a method is provided for monitoring incorporation of a nucleotide triphosphate into a nucleic acid comprising contacting a plurality of identical primers, a plurality of identical template nucleic acids present in a porous microparticle, and a plurality of identical, known nucleotide triphosphates, in the presence of a polymerase, wherein the microparticle is present in a reaction chamber in contact with or capacitively coupled to a chemFET, and detecting a signal at the chemFET, wherein detection of the signal indicates incorporation of the known nucleotide triphosphates to the primers.
  • In some embodiments, the signal results from release of a sequencing reaction byproduct such as PPi, Pi and/or hydrogen ions. In some embodiments, the chemFET is an ISFET. In some embodiments, the chemFET is in (or is provided in or as part of) a chemFET array. In some embodiments, the ISFET is in (or is provided in or as part of) an ISFET array. In some embodiments, the chemFET or ISFET array comprises 102, 103, 104, 105, 106 or 107 chemFETs or ISFETs respectively.
  • In some embodiments, the reaction chamber is in (or is provided in or as part of) a reaction chamber array. In some embodiments, the reaction chamber array comprises 102, 103, 104, 105, 106 or 107 reaction chambers.
  • In some embodiments, the method further comprises generating the plurality of identical template nucleic acids by amplifying a single template nucleic acid in the porous microparticle prior to contacting with the plurality of identical primers. The plurality of identical template nucleic acids may be present in a concatemer or they may be physically separate from each other.
  • In still another aspect, there is provided a method for sequencing nucleic acids comprising generating a plurality of template nucleic acids by fragmenting target nucleic acids, placing single template nucleic acids in porous microparticles together with polymerases, amplifying the single template nucleic acids to generate a plurality of identical template nucleic acids in single porous microparticles, placing single porous microparticles in reaction chambers of a reaction chamber array, and simultaneously sequencing identical template nucleic acids in each of a plurality of porous microparticles.
  • In some embodiments, sequencing identical template nucleic acids comprises detecting sequencing byproducts such as PPi, Pi and/or hydrogen ions released following nucleotide incorporation.
  • In some embodiments, the reaction chambers have a center-to-center distance of about 1 micron to about 10 microns. In some embodiments, the reaction chamber array comprises 102, 103, 104, 105, 106 or 107 reaction chambers.
  • In some embodiments, individual reaction chambers are in contact with or capacitively coupled to individual chemFETs in a chemFET array, including individual ISFETs in an ISFET array. The chemFET or ISFET array may comprise 102, 103, 104, 105, 106, 107, or more chemFETs or ISFETs respectively. Adjacent sensors in these arrays may have a center-to-center distance of about 1 micron to about 10 microns. In still another aspect, the invention provides an apparatus comprising an ISFET array and a plurality of porous microparticles each comprising a plurality of identical template nucleic acids, wherein single porous microparticles are in contact with single ISFETS within the array. In one embodiment, the plurality of identical template nucleic acids are tandemly arranged in a single nucleic acid. In one embodiment, single porous microparticles are present in single reaction chambers of a reaction chamber array that is in contact with or capacitively coupled to the ISFET array. (We digress briefly on a definitional fine point. When a reaction chamber sits atop a dielectric that covers the floating metal gate of an ISFET, is that chamber in contact with the ISFET or is it capacitively coupled to the ISFET? This amounts to asking whether the dielectric is or is not part of the ISFET. We answer that it is part of the ISFET; otherwise, a direct electrical connection is being made to a metal gate and the would-be ISFET is simply a FET. However, we recognize that the charge in the reaction chamber builds up on one side of the dielectric and forms one plate of a capacitor and which has as its second plate the floating gate metal layer; thus, we are also comfortable with the terminology stating that the reaction chamber is capacitively coupled to the ISFET. The two alternatives thus are intended to mean the same thing.)
  • Some aspects of the invention involve detection of charge bound to the chemFET (including an ISFET) surface. Such detection can be used alone or together with detection of soluble analytes (such as hydrogen ions) to detect an event such as for example a nucleotide incorporation event. Thus, as an example, a sequencing-by-synthesis reaction may occur using a template nucleic acid that is immobilized to a chemFET surface. Nucleotide incorporation into the newly synthesized strand results in an addition of negative charge to the nucleic acid and this change can be sensed by the chemFET. Nucleotide incorporation also results in the release of PPi, and subsequently a hydrogen ion, which can also be sensed by the chemFET. Some embodiments involve sequencing such surface immobilized templates in the presence of sufficient buffer to quench (or mask) any released hydrogen ions, thereby tracking a signal that results only from addition of negative charge to the surface as an indicator of nucleotide incorporation. In some embodiments, the method is carried out in the absence of a buffer. Thus, in another aspect, the invention provides a method for sequencing a nucleic acid comprising amplifying a single template nucleic acid in a reaction chamber in contact with or capacitively coupled to an ISFET, wherein amplified template nucleic acids are attached to the reaction chamber, and sequencing amplified template nucleic acids in the reaction chamber.
  • In some embodiments, the amplified template nucleic acids are attached to the surface of the ISFET. In some embodiments, the single template nucleic acid is attached to a surface of the ISFET prior to amplification. In some embodiments, the single template nucleic acid is amplified in solution and the amplified template nucleic acids are hybridized to primers immobilized on a surface of the ISFET.
  • In some embodiments, amplifying comprises amplifying by rolling circle amplification, and the amplified template nucleic acids are concatemers of the template nucleic acid.
  • In some embodiments, sequencing comprises detecting incorporation of a known nucleotide by an increase in negative charge of the amplified template nucleic acids.
  • In some embodiments, the amplified template nucleic acids are self-priming.
  • In still another aspect, a method is provided, comprising contacting a known nucleotide to a complex comprising a template nucleic acid and a sequencing primer, wherein the complex is immobilized on a surface of an ISFET, and detecting incorporation of the known nucleotide to the complex by detecting an increase in negative charge of the complex, wherein the ISFET is in an array, and optionally wherein the array comprises 256 ISFETs.
  • In some embodiments, the template nucleic acid is present in (or provided as) a concatemer of template nucleic acids. In some embodiments, the concatemer comprises 100-1000 copies of the template nucleic acid. In some embodiments, the template nucleic acid is covalently bound to the surface of the ISFET. In some embodiments, the sequencing primer is covalently bound to the surface of the ISFET.
  • In some embodiments, the ISFET is overlayed with a reaction chamber, and optionally the reaction chamber is in an array. In some embodiments, the reaction chamber contains a buffered solution.
  • In some embodiments, the complex is a plurality of complexes. In some embodiments, the complexes are identical. In some embodiments, the plurality of complexes is equal to or less than 106 complexes, equal to or less than 105 complexes, equal to or less than 104 complexes, or equal to or less than 103 complexes.
  • In yet another aspect, a method comprises contacting a known nucleotide to a self-priming template nucleic acid that is immobilized on a surface of an ISFET, and detecting incorporation of the known nucleotide to the self-priming template nucleic acid by detecting an increase in negative charge of the nucleic acid.
  • In some embodiments, the ISFET is in an ISFET array. The ISFET array may comprise 102, 103, 104, 105, 106 or 107 ISFETs.
  • In some embodiments, the template nucleic acid is in a reaction chamber in contact with or capacitively coupled to the ISFET. In some embodiments, the reaction chamber is in a reaction chamber array. In some embodiments, the reaction chamber array comprises 102, 103, 104, 105, 106 or 107 reaction chambers.
  • In some embodiments, the nucleic acid is in a buffer. Thus, in some embodiments, signal at the ISFET results solely from a change in charge of the nucleic acid rather than from released hydrogen ions.
  • Thus, it is to be understood that various aspects and embodiments of the invention relate generally to large scale FET arrays for measuring one or more analytes or for measuring charge bound to the chemFET surface. It will be appreciated that chemFETs and more particularly ISFETs may be used to detect analytes and/or charge. An ISFET, as discussed above, is a particular type of chemFET that is configured for ion detection such as hydrogen ion (or proton) detection. Other types of chemFETs contemplated by the present disclosure include enzyme FETs (EnFETs) which employ enzymes to detect analytes. It should be appreciated, however, that the present disclosure is not limited to ISFETs and EnFETs, but more generally relates to any FET that is configured for some type of chemical sensitivity. As used herein, chemical sensitivity broadly encompasses sensitivity to any molecule of interest, including without limitation organic, inorganic, naturally occurring, non-naturally occurring, chemical and biological compounds, such as ions, small molecules, polymers such as nucleic acids, proteins, peptides, polysaccharides, and the like.
  • Various embodiments described herein employ large scale chemFET arrays in the analysis of chemical or biological samples and/or reactions. Chemical or biological samples are typically liquid (or are dissolved in a liquid) and of small volume, to facilitate high-speed, high-density determination of analyte (e.g., ion or other constituent) presence and/or concentration, or other analyte measurements.
  • For example, some embodiments involve a “very large scale” two-dimensional chemFET sensor array (e.g., greater than 256 sensors), in which one or more chemFET-containing elements or “pixels” constituting the sensors of such an array are configured to monitor one or more independent biological or chemical reactions or events occurring in proximity to the pixels of the array. It will be understood that such arrays may comprise any number of individual sensors and that the invention is not to be limited in this regard. In some exemplary implementations, the array may be coupled to one or more microfluidics structures that form one or more reaction chambers, or “wells” or “microwells,” (as the terms are used interchangeably herein) over individual sensors or groups of sensors of the array, and an apparatus that delivers analyte samples (i.e., analyte solutions) to the wells and/or removes them from the wells between measurements. Even when microwells are not employed, the sensor array may be coupled to one or more microfluidics structures for the delivery of one or more samples to the pixels and for removal of sample between measurements. In association with the microfluidics, unique reference electrodes and their coupling to the flow cell are also provided by the invention.
  • Accordingly, disclosed herein are various microfluidic structures which may be employed to flow analytes and, where appropriate, other agents useful in for example the detection and measurement of analytes to and from the reaction chambers or pixels, the methods of manufacture of the array of reaction chambers, methods and structures for coupling the arrayed reaction chambers with arrayed pixels, and methods and apparatus for loading the reaction chambers with sample to be analyzed, including for example loading the wells with nucleic acids for example when the apparatus is used for nucleic acid (e.g., DNA) sequencing or related analysis, and uses thereof, as will be discussed in greater detail herein. In various aspects of the invention, an analyte that is byproduct of a nucleic acid synthesis reaction is detected. Such a byproduct can be monitored as the readout of a sequencing-by-synthesis method. One particularly important byproduct is hydrogen ions which are released upon addition or incorporation of a deoxynucleotide triphosphate (also referred to herein as a nucleotide or a dNTP) to the 3′ end of a nucleic acid (such as a sequencing primer). Nucleotide incorporation releases inorganic pyrophosphate (PPi) which may be hydrolyzed to orthophosphate (Pi) and free hydrogen ion (H+) in the presence of water (and optionally and far more rapidly in the presence of pyrophosphatase). As a result, nucleotide incorporation, and thus a sequencing-by-synthesis reaction, can be monitored by detecting PPi, Pi and/or H. Conventionally, PPi has not been detected or measured by chemFETs. Instead, optically based sequencing-by-synthesis methods have detected PPi via its sulfurylase-mediated conversion to adenosine triphosphate (ATP), and then luciferase-mediated conversion of luciferin to oxyluciferin in the presence of the previously generated ATP, with concomitant release of light. Such detection is referred to herein as “enzymatic” detection (e.g., of released PPi or of nucleotide incorporation).
  • As mentioned above, in some aspects the invention provides methods for detecting nucleotide incorporation (optionally in conjunction with nucleotide excision) using non-enzymatic methods. As used herein, non-enzymatic detection of nucleotide incorporation is detection that does not require an enzyme to detect the incorporation event or byproducts thereof. Non-enzymatic detection however does not exclude the use of enzymes to incorporate nucleotides or, in some instances, to excise nucleotides, thereby generating the event that is being detected. An example of non-enzymatic detection of nucleotide incorporation is a detection method that does not require conversion of PPi to ATP. Non-enzymatic detection methods may employ mixtures of polymerases for nucleotide incorporation, or they may employ enzymes that may enhance a signal (e.g., pyrophosphatase in order to enhance conversion of PPi to Pi), enzymes that reduce misincorporations (e.g., apyrase in order to remove unincorporated nucleotides), and/or enzymes that remove nucleotides in conjunction with incorporation of other nucleotides, among others.
  • Thus, in some aspects the instant invention contemplates and provides methods for monitoring nucleic acid sequencing reactions and thus determining the nucleotide sequence of nucleic acids by detecting H+ (or changes in pH), PPi (or Pi, or changes in either) in the absence or presence of PPi (or Pi) specific receptors, alone or in some combination thereof.
  • In other aspects, other biological or chemical reactions may be monitored, and the chemFET arrays may be specifically configured to measure hydrogen ions and/or one or more other analytes that provide relevant information relating to the occurrence and/or progress of a particular biological or chemical process of interest.
  • With respect to analyte detection and measurement, it should be appreciated that in various embodiments discussed in greater detail below, one or more analytes measured by a chemFET array according to the present disclosure may include any of a variety of biological or chemical substances that provide relevant information regarding a biological or chemical process (e.g., binding events such as hybridization of nucleic acids to each other, antigen-antibody binding, receptor-ligand binding, enzyme-inhibitor binding, enzyme-substrate binding, enzyme-agonist binding, enzyme-antagonist binding, and the like). In some aspects, the ability to measure absolute or relative as well as static and/or dynamic levels and/or concentrations of one or more analytes, in addition to merely determining the presence or absence of an analyte, provides valuable information in connection with biological and chemical processes. In other aspects, mere determination of the presence or absence of an analyte or analytes of interest may provide valuable information and may be sufficient.
  • A chemFET array according to various inventive embodiments of the present disclosure may be configured for sensitivity to any one or more of a variety of analytes. In one embodiment, one or more chemFETs of an array may be particularly configured for sensitivity to one or more analytes, and in other embodiments different chemFETs of a given array may be configured for sensitivity to different analytes. For example, in one embodiment, one or more sensors (pixels) of the array may include a first type of chemFET configured to be sensitive to a first analyte, and one or more other sensors of the array may include a second type of chemFET configured to be sensitive to a second analyte different from the first analyte. In one embodiment, the first and second analytes may be related to each other. As an example, the first and second analytes may be byproducts of the same biological or chemical reaction/process and therefore they may be detected concurrently to confirm the occurrence of a reaction (or lack thereof). Such redundancy is preferable in some analyte detection methods. Of course, it should be appreciated that more than two different types of chemFETs may be employed in any given array to detect and/or measure different types of analytes, and optionally to monitor biological or chemical processes such as binding events. In general, it should be appreciated in any of the embodiments of sensor arrays discussed herein that a given sensor array may be “homogeneous” and thereby consist of chemFETs of substantially similar or identical type that detect and/or measure the same analyte (e.g., pH or other ion concentration), or a sensor array may be “heterogeneous” and include chemFETs of different types to detect and/or measure different analytes. In another embodiment, the sensors in an array may be configured to detect and/or measure a single type (or class) of analyte even though the species of that type (or class) detected and/or measured may be different between sensors. As an example, all the sensors in an array may be configured to detect and/or measure nucleic acids, but each sensor detects and/or measures a different nucleic acid.
  • Aspects of the invention provide specific improvements to the ISFET array design of Milgrew et al. discussed above in connection with FIGS. 1-7, as well as other conventional ISFET array designs, so as to significantly reduce pixel size, and thereby increase the number of pixels of a chemFET array for a given semiconductor die size (i.e., increase pixel density). In various embodiments, this increase in pixel density is accomplished while at the same time increasing the signal-to-noise ratio of output signals corresponding to monitored biological and chemical processes, and the speed with which such output signals may be read from the array. In particular, by relaxing requirements for chemFET linearity and focusing on a more limited measurement output signal range (e.g., output signals corresponding to a pH range of from approximately 7 to 9 or smaller, rather than 1 to 14, as well as output signals that do not necessarily relate significantly to pH), individual pixel complexity and size may be significantly reduced, thereby facilitating the realization of very large scale dense chemFET arrays. Alternative less complex approaches to pixel selection in an chemFET array (e.g., alternatives to the row and column decoder approach employed in the design of Milgrew et al. as shown in FIG. 7, whose complexity scales with array size), as well as various data processing techniques involving ISFET response modeling and data extrapolation based on such modeling, facilitate rapid acquisition of data from significantly large and dense arrays.
  • In various aspects, the chemFET arrays may be fabricated using conventional CMOS (or biCMOS or other suitable) processing technologies, and are particularly configured to facilitate the rapid acquisition of data from the entire array (scanning all of the pixels to obtain corresponding pixel output signals).
  • Various techniques employed in a conventional CMOS fabrication process, as well as various post-fabrication processing steps (wafer handling, cleaning, dicing, packaging, etc.), may in some instances adversely affect performance of the resulting chemFET array. For example, with reference again to FIG. 1, one potential issue relates to trapped charge that may be induced in the gate oxide 65 during etching of metals associated with the floating gate structure 70, and how such trapped charge may affect chemFET threshold voltage V. Another potential issue relates to the density/porosity of the chemFET passivation layer (e.g., see ISFET passivation layer 72 in FIG. 1) resulting from low-temperature material deposition processes commonly employed in aluminum metal-based CMOS fabrication. While such low-temperature processes generally provide an adequate passivation layer for conventional CMOS devices, they may result in a somewhat low-density and porous passivation layer which may be potentially problematic for chemFETs in contact with an analyte solution; in particular, a low-density porous passivation layer over time may absorb and become saturated with analytes or other substances in the solution, which may in turn cause an undesirable time-varying drift in the chemFETs threshold voltage V. This phenomenon may in turn impede accurate measurements of one or more particular analytes of interest. In view of the foregoing, other inventive embodiments disclosed herein relate to methods and apparatuses which mitigate potentially adverse effects on chemFET performance that may arise from various aspects of fabrication and post-fabrication processing/handling of chemFET arrays.
  • Accordingly, one embodiment is directed to an apparatus, comprising an array of CMOS-fabricated sensors, each sensor comprising one chemically-sensitive field effect transistor (chemFET) and occupying an area on a surface of the array of 10 μm2 or less, 9 μm2 or less, 8 μm2 or less, 7 μm2 or less, 6 μm2 or less, 5 μm2 or less, 4 μm2 or less 3 μm2 or less, or 2 μm2 or less.
  • Another embodiment is directed to a sensor array, comprising a two-dimensional array of electronic sensors including at least 512 rows and at least 512 columns of the electronic sensors, each sensor comprising one chemically-sensitive field effect transistor (chemFET) configured to provide at least one output signal representing a presence and/or concentration of an analyte proximate to a surface of the two-dimensional array.
  • Another embodiment is directed to an apparatus, comprising an array of CMOS-fabricated sensors, each sensor comprising one chemically-sensitive field effect transistor (chemFET). The array of CMOS-fabricated sensors includes more than 256 sensors, and a collection of chemFET output signals from all chemFETs of the array constitutes a frame of data. The apparatus further comprises control circuitry coupled to the array and configured to generate at least one array output signal to provide multiple frames of data from the array at a frame rate of at least 1 frame per second. In one aspect, the frame rate may be at least 10 frames per second. In another aspect, the frame rate may be at least 20 frames per second. In yet other aspects, the frame rate may be at least 30, 40, 50, 70 or up to 100 frames per second.
  • Another embodiment is directed to an apparatus, comprising an array of CMOS-fabricated sensors, each sensor comprising a chemically-sensitive field effect transistor (chemFET). The chemFET comprises a floating gate structure, and a source and a drain having a first semiconductor type and fabricated in a region having a second semiconductor type, wherein there is no electrical conductor that electrically connects the region having the second semiconductor type to either the source or the drain.
  • Another embodiment is directed to an apparatus, comprising an array of electronic sensors, each sensor consisting of three field effect transistors (FETs) including one chemically-sensitive field effect transistor (chemFET). Another embodiment is directed to an apparatus, comprising an array of electronic sensors, each sensor comprising three or fewer field effect transistors (FETs), wherein the three or fewer FETs includes one chemically-sensitive field effect transistor (chemFET).
  • Another embodiment is directed to an apparatus, comprising an array of electronic sensors, each sensor comprising a plurality of field effect transistors (FETs) including one chemically-sensitive field effect transistor (chemFET), and a plurality of electrical conductors electrically connected to the plurality of FETs, wherein the plurality of FETs are arranged such that the plurality of electrical conductors includes no more than four conductors traversing an area occupied by each sensor and interconnecting multiple sensors of the array.
  • Another embodiment is directed to an apparatus, comprising an array of CMOS-fabricated sensors, each sensor comprising a plurality of field effect transistors (FETs) including one chemically-sensitive field effect transistor (chemFET), wherein all of the FETs in each sensor are of a same channel type and are implemented in a single semiconductor region of an array substrate.
  • Another embodiment is directed to a sensor array, comprising a plurality of electronic sensors arranged in a plurality of rows and a plurality of columns. Each sensor comprises one chemically-sensitive field effect transistor (chemFET) configured to provide at least one and in some instances at least two output signals representing a presence and/or a concentration of an analyte proximate to a surface of the array. For each column of the plurality of columns, the array further comprises column circuitry configured to provide a constant drain current and a constant drain-to-source voltage to respective chemFETs in the column, the column circuitry including two operational amplifiers and a diode-connected FET arranged in a Kelvin bridge configuration with the respective chemFETs to provide the constant drain-to-source voltage.
  • Another embodiment is directed to a sensor array, comprising a plurality of electronic sensors arranged in a plurality of rows and a plurality of columns. Each sensor comprises one chemically-sensitive field effect transistor (chemFET) configured to provide at least one output signal and in some instances at least two output signals representing a concentration of ions in a solution proximate to a surface of the array. The array further comprises at least one row select shift register to enable respective rows of the plurality of rows, and at least one column select shift register to acquire chemFET output signals from respective columns of the plurality of columns.
  • Another embodiment is directed to an apparatus, comprising an array of CMOS-fabricated sensors, each sensor comprising a chemically-sensitive field effect transistor (chemFET). The chemFET comprises a floating gate structure, and a source and a drain having a first semiconductor type and fabricated in a region having a second semiconductor type, wherein there is no electrical conductor that electrically connects the region having the second semiconductor type to either the source or the drain. The array includes a two-dimensional array of at least 512 rows and at least 512 columns of the CMOS-fabricated sensors. Each sensor consists of three field effect transistors (FETs) including the chemFET, and each sensor includes a plurality of electrical conductors electrically connected to the three FETs. The three FETs are arranged such that the plurality of electrical conductors includes no more than four conductors traversing an area occupied by each sensor and interconnecting multiple sensors of the array. All of the FETs in each sensor are of a same channel type and implemented in a single semiconductor region of an array substrate. A collection of chemFET output signals from all chemFETs of the array constitutes a frame of data. The apparatus further comprises control circuitry coupled to the array and configured to generate at least one array output signal to provide multiple frames of data from the array at a frame rate of at least 20 frames per second.
  • Another embodiment is directed to a method for processing an array of CMOS-fabricated sensors, each sensor comprising a chemically-sensitive field effect transistor (chemFET). The method comprises: A) dicing a semiconductor wafer including the array to form at least one diced portion including the array; and B) performing a forming gas anneal on the at least one diced portion.
  • Another embodiment is directed to a method for manufacturing an array of chemFETs. The method comprises fabricating an array of chemFETs; depositing on the array a dielectric material; applying a forming gas anneal to the array before a dicing step; dicing the array; and applying a forming gas anneal after the dicing step. The method may further comprise testing the semiconductor wafer between one or more deposition steps.
  • Another embodiment is directed to a method for processing an array of CMOS-fabricated sensors. Each sensor comprises a chemically-sensitive field effect transistor (chemFET) having a chemically-sensitive passivation layer of silicon nitride and/or silicon oxynitride deposited via plasma enhanced chemical vapor deposition (PECVD). The method comprises depositing at least one additional passivation material on the chemically-sensitive passivation layer so as to reduce a porosity and/or increase a density of the passivation layer.
  • Various aspects or embodiments of the invention involve an apparatus comprising an array of chemFET sensors overlayed with an array of reaction chambers wherein the bottom of a reaction chamber is in contact with (or capacitively coupled to) a chemFET sensor. In some embodiments, each reaction chamber bottom is in contact with a chemFET sensor, and preferably with a separate chemFET sensor. In some embodiments, less than all reaction chamber bottoms are in contact with a chemFET sensor. In some embodiments, each sensor in the array is in contact with a reaction chamber. In other embodiments, less than all sensors are in contact with a reaction chamber. The sensor (and/or reaction chamber) array may be comprised of 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 30, 40, 50, 60, 60, 80, 90, 100, 200, 300, 400, 500, 1000, 104, 105, 106, 107, 108, or more chemFET sensors (and/or reaction chambers). As used herein, it is intended that an array that comprises, as an example, 256 sensors or reaction chambers will contain 256 or more (i.e., at least 256) sensors or reaction chambers. It is further intended that aspects and embodiments described herein that “comprise” elements and/or steps also fully support and embrace aspects and embodiments that “consist of” or “consist essentially of” such elements and/or steps.
  • Various aspects and embodiments of the invention involve sensors (and/or reaction chambers) within an array that are spaced apart from each other at a center-to-center distance or spacing (or “pitch”, as the terms are used interchangeably herein) that is in the range of 1-50 microns, 1-40 microns, 1-30 microns, 1-20 microns, 1-10 microns, or 5-10 microns, including equal to or less than about 9 microns, or equal to or less than about 5.1 microns, or 1-5 microns including equal to or less than about 2.8 microns. The center-to-center distance between adjacent reaction chambers in a reaction chamber array may be about 1-9 microns, or about 2-9 microns, or about 1 microns, about 2 microns, about 3 microns, about 4 microns, about 5 microns, about 6 microns, about 7 microns, about 8 microns, or about 9 microns.
  • In some embodiments, the reaction chamber has a volume of equal to or less than about 1 picoliter (pL), including less than 0.5 pL, less than 0.1 pL, less than 0.05 pL, less than 0.01 pL; less than 0.005 pL.
  • The reaction chambers may have a square cross section, for example, at their base or bottom. Examples include an 8 μm by 8 μm cross section, a 4 μm by 4 μm cross section, or a 1.5 μm by 1.5 μm cross section. Alternatively, they may have a rectangular cross section, for example, at their base or bottom. Examples include an 8 μm by 12 μm cross section, a 4 μm by 6 μm cross section, or a 1.5 μm by 2.25 μm cross section.
  • In some embodiments, a reaction chamber comprises a single template nucleic acid or a single bead. In these instances, it is to be understood that such reaction chambers have only one template nucleic acid or only one bead, although they may contain other elements. Such “single nucleic acids” however may be later amplified in order to give rise to a plurality of identical nucleic acids. Similarly, in some embodiments, a single template nucleic acid may be a concatemer and thus may contain multiple copies of a starting nucleic acid such as a starting template nucleic acid or a target nucleic acid fragment. As used herein, a plurality is two or more.
  • In some embodiments, a reaction chamber comprises a plurality of identical nucleic acids. In some embodiments, the identical nucleic acids are attached (e.g., covalently) to a bead within the well. In other embodiments, the identical nucleic acids are attached (e.g., covalently) to a surface in the reaction chamber such as but not limited to the chemFET surface (or typically at the bottom of the reaction chamber). The plurality of nucleic acids can be 2-10, 2-102, 2-103, 2-104, 2-105, 2-106, or more. In some embodiments, the plurality of nucleic acids can be 2 through to 2 million, 2 through to 3 million, 2 through to 4 million, 2 through to 5 million, or more. As used herein, a template nucleic acid may contain a single template or it may contain a plurality of templates (e.g., in the case of a concatemer, whether or not in the context of a DNA “nanoball”). Such concatemers may include 10, 50, 100, 500, 1000, or more copies of the template nucleic acid. When such concatemers are used, they may exist in a reaction well, or otherwise be in close proximity to the chemFET surface, in the absence or presence of a bead. That is, the concatemers may be present independently of beads, and they may or may not be themselves covalently or non-covalently attached to the chemFET surface. Sequencing of such nucleic acids may be via detection of released hydrogen ions and/or detection of addition of negative charge to the chemFET surface following nucleotide incorporations events.
  • Other aspects of the invention relate to methods for monitoring nucleic acid synthesis reactions, including but not limited to those integral to sequencing-by-synthesis methods. Thus, various aspects of the invention provide methods for monitoring nucleic acid synthesis reactions, methods for determining or monitoring nucleotide incorporation into a nucleic acid, and the like, optionally in the presence of nucleotide excision as may occur for example in a nick translation reaction. These methods are carried out in some important embodiments in a pH sensitive environment (i.e., an environment in which pH and pH changes can be detected).
  • Various methods provided herein rely on sequencing a nucleic acid by contacting a plurality of the nucleic acids sequentially to a known order of different nucleotides (e.g., dATP, dCTP, dGTP, and dTTP), and detecting an electrical output that results if the nucleotide is incorporated. Some methods employ a primed template nucleic acid and incorporate nucleotides into a sequencing primer based on complementarity with the template nucleic acid.
  • Thus, some aspects of the invention provide methods for sequencing a nucleic acid comprising sequencing a plurality of identical template nucleic acids in a reaction chamber in contact with a chemFET, in an array which comprises at least 3 (and up to millions) of such assemblies of reaction chambers and chemFETs.
  • Some methods involve sequencing individually amplified fragmented nucleic acids using a chemFET array, optionally overlayed with a reaction chamber array. In various embodiments, the chemFET array comprises at least 500 chemFETs, at least 100,000 chemFETs, at least 1 million chemFETs, or more. In some embodiments, the plurality of fragmented nucleic acids is individually amplified using a water in oil emulsion amplification method.
  • Some methods involve disposing (e.g., placing or positioning) a plurality of identical template nucleic acids into a reaction chamber (or well) that is in contact with or capacitively coupled to a chemFET, wherein the template nucleic acids are individually hybridized to sequencing primers or are self-priming (thereby forming a template/primer hybrid), synthesizing a new nucleic acid strand (or extending the sequencing primer) by incorporating one or more known nucleotide triphosphates sequentially at the 3′ end of the sequencing primer in the presence of a polymerase, and detecting the incorporation of the one or more known nucleotide triphosphates by a change in voltage and/or current at the chemFET. The chemFET is preferably one sensor in a chemFET array and the reaction chamber is preferably one chamber in a reaction chamber array. The template nucleic acids between reaction chambers may differ but those within a reaction chamber are preferably identical. Thus it will be clear that the invention contemplates performing a plurality of sequencing reactions simultaneously within a reaction chamber and if in the context of an array within the plurality of reaction chambers in the array.
  • The above-noted methods may be carried out on templates that are immobilized (e.g., covalently) to a bead located within the reaction chamber or on templates that are immobilized (e.g., covalently) to a surface inside the reaction chamber including the chemFET surface. Nucleotide incorporation can then be detected by an increase in the release of hydrogen ions into the solution and ultimately in contact with the chemFET surface and/or by an increase in the negative charge at the chemFET surface.
  • Various embodiments may be embraced in the various foregoing aspects of the invention and these are recited below once for convenience and brevity.
  • It is to be understood that although various of the foregoing aspects and embodiments of the invention recite hybridization (or binding) of a sequencing primer to a template, the invention also contemplates the use of template nucleic acids that hybridize to themselves (i.e., intramolecularly) thereby giving rise to free 3′ ends onto which nucleotide triphosphates may be incorporated. Such templates, referred to herein as self-priming templates, may be used in any of the foregoing methods.
  • Similarly, the invention equally contemplates the use of double stranded templates that are engineered to have particular sequences at their free ends that can be acted upon by nicking enzymes such as nickases. In this way, the polymerase incorporates nucleotide triphosphates at the nicked site. In these instances, there is no requirement for a separate sequencing primer. The double stranded template may comprise ribonucleotide (i.e., RNA) bases including for example uracils which are acted upon by different enzymes to create a nick in the template from which sequencing may begin. It is to be understood that such methods are still considered “non-enzymatic” as intended herein since the detection of nucleotide incorporation (via detection of a released product or byproduct of the incorporation reaction or by detection of an increased charge at the chemFET surface) does not rely on an enzyme, even though the nucleotide incorporation event typically does.
  • In various embodiments, the incorporated nucleotide triphosphate is known. In various embodiments, the nucleotide triphosphate is a plurality of identical nucleotide triphosphates, the template is a plurality of templates, the hybrids are a plurality of hybrids, and the polymerase is a plurality of polymerases. The polymerase may be a plurality of polymerases that are not identical and rather may be comprised of 2, 3, or more types of polymerases. In some instances, a mixture of two polymerases may be used with one having suitable processivity and the other having suitable rate of incorporation. The ratio of the different polymerases can vary. Similarly, the primer, template or hybrid may be a plurality of primers, templates, or hybrids respectively that may not be identical to each other, provided that any primer, template or hybrid in a single reaction chamber, attached to a single capture bead or to another solid support such as a chemFET surface in the same reaction chamber are identical to each other. In some instances, the primers are identical between reaction chambers.
  • In some embodiments, the incorporation of at least 10, at least 20, at least 30, at least 40, at least 50, at least 60, at least 70, at least 80, at least 90, or at least 100 nucleotide triphosphates is detected. In other embodiments, the incorporation of 100-500 25-750, 500-1000, or 10-1000 nucleotide triphosphates is detected.
  • In some embodiments, the reaction chamber comprises a plurality of packing beads. In some embodiments, the reaction chamber lacks packing beads.
  • In some embodiments, the reaction chamber comprises a soluble non-nucleic acid polymer. In some embodiments, the detecting step occurs in the presence of a soluble non-nucleic acid polymer. In some embodiments, the soluble non-nucleic acid polymer is polyethylene glycol, or PEA, or a dextran, or an acrylamide, or a cellulose (e.g., methyl cellulose). In some embodiments, the non-nucleic acid polymer such as polyethylene glycol is attached to the single bead. In some embodiments, the non-nucleic acid polymer is attached to one or more (or all) sides of a reaction chamber, except in some instances the bottom of the reaction chamber which is the FET surface. In some embodiments, the non-nucleic acid polymer is biotinylated such as but not limited to biotinylated polyethylene glycol.
  • In some embodiments, the method is carried out at a pH of about 6-9.5, or at about 6-9, or at about 7-9, or at about 8.5 to 9.5, or at about 9. The pH range in some instances is dictated by the polymerase (and/or other enzyme) being used in the method.
  • In some important embodiments, the synthesizing and/or detecting step is carried out in a weak buffer. In some embodiments, the weak buffer comprises Tris-HCl, boric acid or borate buffer, acetate, morpholine, citric acid, carbonic acid, or phosphoric acid as a buffering agent. In some embodiments, the synthesizing and/or detecting step is carried out in an aqueous solution that lacks buffer.
  • In some embodiments, the synthesizing and/or detecting step is carried out in about 1 mM Tris-HCl. In some embodiments, the synthesizing and/or detecting step is carried out in less than 1 mM Tris-HCl. In some embodiments, the synthesizing and/or detecting step is carried out in about 0.9 mM Tris-HCl, about 0.8 mM Tris-HCl, about 0.7 mM Tris-HCl, about 0.6 mM Tris-HCl, about 0.5 mM Tris-HCl, about 0.4 mM Tris-HCl, about 0.3 mM Tris-HCl, or about 0.2 mM Tris-HCl.
  • In some embodiments, the synthesizing and/or detecting step is carried out in about 1 mM borate buffer. In some embodiments, the synthesizing and/or detecting step is carried out in less than 1 mM borate buffer. In some embodiments, the synthesizing and/or detecting step is carried out in about 0.9 mM borate buffer, about 0.8 mM borate buffer, about 0.7 mM borate buffer, about 0.6 mM borate buffer, about 0.5 mM borate buffer, about 0.4 mM borate buffer, about 0.3 mM borate buffer, or about 0.2 mM borate buffer.
  • In various embodiments, the nucleotide triphosphates are unblocked. As used herein, an unblocked nucleotide triphosphate is a nucleotide triphosphate with an unmodified end that can be incorporated into a nucleic acid (at its 3′ end) and once it is incorporated can be attached to the following nucleotide triphosphate being incorporated. Blocked dNTP in contrast either cannot be added to a nucleic acid or their incorporation into a nucleic acid prevents any further nucleotide incorporation and any further extension of that nucleic acid. In various embodiments, the nucleotide triphosphates are deoxynucleotide triphosphates (dNTPs).
  • In various embodiments, the chemFET comprises a silicon nitride passivation layer. The passivation layer may or may not be bound to a nucleic acid such as a template nucleic acid or a concatemer of template nucleic acids.
  • In some embodiments, the nucleotide triphosphates are pre-soaked in Mg2+ (e.g., in the presence of MgCl2) or Mn2+ (e.g., in the presence of MnCl2). In some embodiments, the polymerase is pre-soaked in Mg2+ (e.g., in the presence of MgCl2) or Mn2+ (e.g., in the presence of MnCl2).
  • In some embodiments, the method is carried out in a reaction chamber comprising a single capture bead, wherein a ratio of reaction chamber width to single capture bead diameter is at least 0.7, at least 0.8, or at least 0.9.
  • In some embodiments, the polymerase is free in solution. In some embodiments, the polymerase is immobilized to a bead. In some embodiments, the polymerase is immobilized to a capture bead. In some embodiments, the template nucleic acids are attached to capture beads. In some embodiments, the template nucleic acids are attached to the chemFET surface or another wall inside the reaction chamber.
  • A number of aspects of the disclosed apparatus relate to improving performance by, for example, improving the signal-to-noise ratio of individual ISFET-based pixels as well as arrays of such pixels.
  • One aspect involves One aspect involves over-coating (i.e., “passivating”) the sidewalls (typically formed of TEOS-oxide or another suitable material, as above-described) and sensor surface at the bottom of the microwells with various metal oxide or like materials, to improve their surface chemistry (i.e., make the sidewalls less reactive) and electrical properties.
  • Another aspect is forming ISFETs with a very thin dielectric coating on the floating gate electrode.
  • Yet another aspect is forming a combined ISFET and microwell structure wherein the surface area for charge collection at the floating gate is increased by employing a metallization on the microwell sidewalls.
  • Still a further aspect is employing modified array and pixels designs to reduce noise sources, including charge injection into the electrolyte. In part, these designs include the use of active pixels having current sources configured to reduce ISFET terminal voltage fluctuations.
  • Yet another aspect is providing a more reliable way to introduce a stable reference potential into a flow cell having a solution flowing therethrough, such that the reference potential will be substantially insensitive to spatial variations in fluid composition and pH.
  • A further aspect is an improved mechanism for multiplexing fluid flows into the flow cell, whereby switching of fluids is simplified and instead of multiplexing multiple reagents at the location of valves used to control their flow, reagents are multiplexed downstream with a passive micro-fluidic multiplexer circuit that acts as a kind of union. Diffusion-transported effluent is minimized from reagent inputs other than the one currently being used. Laminar flow and/or fluid resistance elements cause diffuse effluent to be discarded to a waste location.
  • It should be appreciated that all combinations of the foregoing concepts and additional concepts discussed in greater detail below (provided such concepts are not mutually inconsistent) are contemplated as being part of the inventive subject matter disclosed herein. In particular, all combinations of claimed subject matter appearing at the end of this disclosure are contemplated as being part of the inventive subject matter disclosed herein. It should also be appreciated that terminology explicitly employed herein that also may appear in any disclosure incorporated by reference should be accorded a meaning most consistent with the particular concepts disclosed herein.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • In the drawings, like reference characters generally refer to the same parts throughout the different views. Also, the drawings are not necessarily to scale, emphasis instead being placed upon generally illustrating the various concepts discussed herein.
  • FIG. 1 illustrates a cross-section of a p-type (p-channel) ion-sensitive field effect transistor (ISFET) fabricated using a conventional CMOS process.
  • FIG. 2 illustrates an electric circuit representation of the p-channel ISFET shown in FIG. 1.
  • FIG. 2A illustrates an exemplary ISFET transient response to a step-change in ion concentration of an analyte.
  • FIG. 3 illustrates one column of a two-dimensional ISFET array based on the ISFET shown in FIG. 1.
  • FIG. 4 illustrates a transmission gate including a p-channel MOSFET and an n-channel MOSFET that is employed in each pixel of the array column shown in FIG. 3.
  • FIG. 5 is a diagram similar to FIG. 1, illustrating a wider cross-section of a portion of a substrate corresponding to one pixel of the array column shown in FIG. 3, in which the ISFET is shown alongside two n-channel MOSFETs also included in the pixel.
  • FIG. 6 is a diagram similar to FIG. 5, illustrating a cross-section of another portion of the substrate corresponding to one pixel of the array column shown in FIG. 3, in which the ISFET is shown alongside the p-channel MOSFET of the transmission gate shown in FIG. 4.
  • FIG. 7 illustrates an example of a complete two-dimensional ISFET pixel array based on the column design of FIG. 3, together with accompanying row and column decoder circuitry and measurement readout circuitry.
  • FIG. 8 generally illustrates a nucleic acid processing system comprising a large scale chemFET array, according to one inventive embodiment of the present disclosure.
  • FIG. 9 illustrates one column of an chemFET array similar to that shown in FIG. 8, according to one inventive embodiment of the present disclosure.
  • FIG. 9A illustrates a circuit diagram for an exemplary amplifier employed in the array column shown in FIG. 9.
  • FIG. 9B is a graph of amplifier bias vs. bandwidth, according to one inventive embodiment of the present disclosure.
  • FIG. 10 illustrates a top view of a chip layout design for a pixel of the column of an chemFET array shown in FIG. 9, according to one inventive embodiment of the present disclosure.
  • FIG. 10-1 illustrates a top view of a chip layout design for a cluster of four neighboring pixels of an chemFET array shown in FIG. 9, according to another inventive embodiment of the present disclosure.
  • FIG. 11A shows a composite cross-sectional view along the line I-I of the pixel shown in FIG. 10, including additional elements on the right half of FIG. 10 between the lines II-II and III-III, illustrating a layer-by-layer view of the pixel fabrication according to one inventive embodiment of the present disclosure.
  • FIG. 11A-1 shows a composite cross-sectional view of multiple neighboring pixels, along the line I-I of one of the pixels shown in FIG. 10-1, including additional elements of the pixel between the lines II-II, illustrating a layer-by-layer view of pixel fabrication according to another inventive embodiment of the present disclosure.
  • FIGS. 11B(1)-(3) provide the chemical structures of ten PPi receptors (compounds 1 through 10).
  • FIG. 11C(1) is a schematic of a synthesis protocol for compound 7 from FIG. 11B(3).
  • FIG. 11C(2) is a schematic of a synthesis protocol for compound 8 from FIG. 11B(3).
  • FIG. 11C(3) is a schematic of a synthesis protocol for compound 9 from FIG. 11B(3).
  • FIGS. 11D(1) and (2) are schematics illustrating a variety of chemistries that can be applied to the passivation layer in order to bind molecular recognition compounds (such as but not limited to PPi receptors).
  • FIG. 11E is a schematic of attachment of compound 7 from FIG. 11B(3) to a metal oxide surface.
  • FIGS. 12A through 12L provide top views of each of the fabrication layers shown in FIG. 11A, according to one inventive embodiment of the present disclosure.
  • FIGS. 12-1A through 12-1L provide top views of each of the fabrication layers shown in FIG. 11A-1, according to another inventive embodiment of the present disclosure.
  • FIG. 13 illustrates a block diagram of an exemplary CMOS IC chip implementation of an chemFET sensor array similar to that shown in FIG. 8, based on the column and pixel designs shown in FIGS. 9-12, according to one inventive embodiment of the present disclosure.
  • FIG. 14 illustrates a row select shift register of the array shown in FIG. 13, according to one inventive embodiment of the present disclosure.
  • FIG. 15 illustrates one of two column select shift registers of the array shown in FIG. 13, according to one inventive embodiment of the present disclosure.
  • FIG. 16 illustrates one of two output drivers of the array shown in FIG. 13, according to one inventive embodiment of the present disclosure.
  • FIG. 17 illustrates a block diagram of the chemFET sensor array of FIG. 13 coupled to an array controller, according to one inventive embodiment of the present disclosure.
  • FIG. 18 illustrates an exemplary timing diagram for various signals provided by the array controller of FIG. 17, according to one inventive embodiment of the present disclosure.
  • FIG. 18A illustrates another exemplary timing diagram for various signals provided by the array controller of FIG. 17, according to one inventive embodiment of the present disclosure.
  • FIG. 18B shows a flow chart illustrating an exemplary method for processing and correction of array data acquired at high acquisition rates, according to one inventive embodiment of the present disclosure.
  • FIGS. 18C and 18D illustrate exemplary pixel voltages showing pixel-to-pixel transitions in a given array output signal, according to one embodiment of the present disclosure.
  • FIGS. 19-20 illustrate block diagrams of alternative CMOS IC chip implementations of chemFET sensor arrays, according to other inventive embodiments of the present disclosure.
  • FIG. 20A illustrates a top view of a chip layout design for a pixel of the chemFET array shown in FIG. 20, according to another inventive embodiment of the present disclosure.
  • FIGS. 21-23 illustrate block diagrams of additional alternative CMOS IC chip implementations of chemFET sensor arrays, according to other inventive embodiments of the present disclosure.
  • FIG. 24 illustrates the pixel design of FIG. 9 implemented with an n-channel chemFET and accompanying n-channel MOSFETs, according to another inventive embodiment of the present disclosure.
  • FIGS. 25-27 illustrate alternative pixel designs and associated column circuitry for chemFET arrays according to other inventive embodiments of the present disclosure.
  • FIGS. 28A and 28B are isometric illustrations of portions of microwell arrays as employed herein, showing round wells and rectangular wells, to assist three-dimensional visualization of the array structures.
  • FIG. 29 is a diagrammatic depiction of a top view of one corner (i.e., the lower left corner) of the layout of a chip showing an array of individual ISFET sensors on a CMOS die.
  • FIG. 30 is an illustration of an example of a layout for a portion of a (typically chromium) mask for a one-sensor-per-well embodiment of the above-described sensor array, corresponding to the portion of the die shown in FIG. 29.
  • FIG. 31 is a corresponding layout for a mask for a 4-sensors-per-well embodiment.
  • FIG. 32 is an illustration of a second mask used to mask an area which surrounds the array, to build a collar or wall (or basin, using that term in the geological sense) of resist which surrounds the active array of sensors on a substrate, as shown in FIG. 33A.
  • FIG. 33 is an illustration of the resulting basin.
  • FIG. 33A is an illustration of a three-layer PCM process for making the microwell array.
  • FIG. 33B is a diagrammatic cross-section of a microwell with a “bump” feature etched into the bottom.
  • FIG. 33B-1 is an image from a scanning electron microscope showing in cross-section a portion of an array architecture as taught herein, with microwells formed in a layer of silicon dioxide over ISFETs.
  • FIG. 33B-2 is a diagrammatic illustration of a microwell in cross-section, the microwell being produced as taught herein and having sloped sides, and showing how a bead of a correspondingly appropriate diameter larger than that of the well bottom can be spaced from the well bottom by interference with the well sidewalls.
  • FIG. 33B-3 is another diagrammatic illustration of such a microwell with beads of different diameters shown, and indicating optional use of packing beads below the nucleic acid-carrying bead such as a DNA-carrying bead
  • FIGS. 34-37 diagrammatically illustrate a first example of a suitable experiment apparatus incorporating a fluidic interface with the sensor array, with FIG. 35 providing a cross-section through the FIG. 34 apparatus along section line 35-35′ and FIG. 36 expanding part of FIG. 35, in perspective, and FIG. 37 further expanding a portion of the structure to make the fluid flow more visible.
  • FIG. 38 is a diagrammatic illustration of a substrate with an etched photoresist layer beginning the formation of an example flow cell of a certain configuration.
  • FIGS. 39-41 are diagrams of masks suitable for producing a first configuration of flow cell consistent with FIG. 38.
  • FIGS. 42-54 (but not including FIGS. 42A-42L) and 57-58 are pairs of partly isometric, sectional views of example apparatus and enlargements, showing ways of introducing a reference electrode into, and forming, a flow cell and flow chamber, using materials such as plastic and PDMS.
  • FIG. 42A is an illustration of a possible cross-sectional configuration of a non-rectangular flow chamber antechamber (diffuser section) for use to promote laminar flow into a flow cell as used in the arrangements shown herein;
  • FIGS. 42B-42F are diagrammatic illustrations of examples of flow cell structures for unifying fluid flow.
  • FIG. 42F1 is a diagrammatic illustration of an example of a ceiling baffle arrangement for a flow cell in which fluid is introduced at one corner of the chip and exits at a diagonal corner, the baffle arrangement facilitating a desired fluid flow across the array.
  • FIGS. 42F2-42F8 comprise a set of illustrations of an exemplary flow cell member that may be manufactured by injection molding and may incorporate baffles to facilitate fluid flow, as well as a metalized surface for serving as a reference electrode, including an illustration of said member mounted to a sensor array package over a sensor array, to form a flow chamber thereover.
  • FIGS. 42G and 42H are diagrammatic illustrations of alternative embodiments of flow cells in which fluid flow is introduced to the middle of the chip assembly.
  • FIGS. 42I and 42J are cross-sectional illustrations of the type of flow cell embodiments shown in FIGS. 42G and 42H, mounted on a chip assembly;
  • FIGS. 42K and 42L are diagrammatic illustrations of flow cells in which the fluid is introduced at a corner of the chip assembly.
  • FIG. 42M is a diagrammatic illustration of fluid flow from one corner of an array on a chip assembly to an opposite corner, in apparatus such as that depicted in FIGS. 42K and 42L.
  • FIGS. 55 and 56 are schematic, cross-sectional views of two-layer glass (or plastic) arrangements for manufacturing fluidic apparatus for mounting onto a chip for use as taught herein.
  • FIGS. 57 and 58 are schematic embodiments of a fluidic assembly.
  • FIGS. 59A-59C are illustrations of the pieces for two examples of two-piece injection molded parts for forming a flow cell.
  • FIG. 60 is a schematic illustration, in cross-section, for introducing a stainless steel capillary tube as an electrode, into a downstream port of a flow cell such as the flow cells of FIGS. 59A-59C, or other flow cells.
  • FIG. 61A is a schematic illustrating the incorporation of a dNTP into a synthesized nucleic acid strand with concomitant release of inorganic pyrophosphate (PPi).
  • FIG. 61B is a schematic illustrating an embodiment of the invention in which the single stranded region of the template is not hybridized to RNA oligomers. Hydrogen ion that is released as a result of nucleotide incorporation is able to interact with and possibly be sequestered by free bases on the single stranded region of the template. Such hydrogen ions are then unable to flow to the ISFET surface and be detected. The free bases in the single stranded regions are proton acceptors at pH below 7.5.
  • FIG. 61C is a schematic illustrating an embodiment of the invention in which the single stranded region of the template is hybridized to RNA oligomers. Hydrogen ion that is released as a result of nucleotide incorporation is not able to interact with the template which is hybridized to the RNA oligomers. These hydrogen ions are therefore able to flow to the ISFET surface and be detected.
  • FIG. 61D is the structure of the potassium salt of PNSE.
  • FIG. 61E is the structure of the sodium salt of poly(styrene sulfonic acid).
  • FIG. 61F is the structure of the chloride salt of poly(diallydimethylammonium).
  • FIG. 61G is the structure of the chloride salt of tetramethyl ammonium.
  • FIG. 61H is a schematic showing the chemistry for covalently conjugating a primer to a bead.
  • FIG. 61I is a table showing the possible reactive groups that can be used in combination at positions B1, B2, P1 and P2 in order to covalently conjugate a primer to a bead.
  • FIGS. 61J and K are data capture images of microwell arrays following bead deposition. The white spots are beads. FIG. 61J is an optical microscope image and FIG. 61K is an image captured using the chemFET sensor underlying the microwell array.
  • FIGS. 62-70 illustrate bead loading into the microfluidic arrays of the invention.
  • FIG. 71 illustrates an exemplary sequencing process.
  • FIGS. 72A-D are graphs showing on-chip detection of nucleotide incorporation using a template of known sequence.
  • FIGS. 73A and B are graphs showing a trace from an ISFET device (A) and a nucleotide readout (B) from a sequencing reaction of a 23-mer synthetic oligonucleotide.
  • FIGS. 74A and B are graphs showing a trace from an ISFET device (A) and a nucleotide readout (B) from a sequencing reaction of a 25-mer PCR product.
  • FIG. 75A is a modeling circuit diagram for use in analyzing the factors influencing ISFET gate gain;
  • FIG. 75B is a graph of simulated ISFET gate gain dependence on passivation layer thickness for a first set of parameters set forth in the specification;
  • FIG. 75C is a graph of simulated ISFET gate gain dependence on passivation layer thickness for a second set of parameters set forth in the specification;
  • FIG. 75D is a graph of simulated ISFET gate gain dependence on passivation layer thickness for a third set of parameters set forth in the specification;
  • FIG. 75E is a diagrammatic illustration of two microwells formed over ISFETs having extended floating gate electrodes lining the walls of the microwells;
  • FIG. 75F is a partially-circuit, partially diagrammatic illustration of an example embodiment of a four-transistor pixel (sensor) employing an active circuit design;
  • FIG. 75G is a diagram of a second example of a four-transistor active pixel, employing a single-MOSFET current source to avoid (or at least minimize) introducing a disturbance at the sense node;
  • FIG. 75H is a diagram of a group of four pixels, each similar to that of FIG. 75G, sharing certain components to reduce chip area requirements;
  • FIG. 75I is a diagram of an active pixel employing six transistors; FIG. 75J is a diagram of a group of four pixels, each similar to that of FIG. 75I, sharing certain components to reduce chip area requirements;
  • FIG. 75K is a diagrammatic illustration of an example of an array of ISFET sensors (pixels) as taught herein, sharing a common analog-to-digital converter (ADC) for producing digital pixel values;
  • FIG. 75L is a diagrammatic illustration of another example of an ISFET array in which one ADC is provided per column (or group of columns) to speed up digital readout;
  • FIGS. 75M and 75N are illustrations showing how the arrays of FIGS. 75K and 75L may be segmented to form sub-arrays, for example to speed operation or to treat differently different portions of the overall array;
  • FIG. 75O is a partially schematic circuit, partially block diagram of a single pixel, illustrating basically how digital output may be generated at the individual pixel level in an array;
  • FIG. 75P is a diagram of a group of four pixels, each similar to that of FIG. 75P, sharing an ADC and memory to provide per-pixel digital output;
  • FIG. 75Q is a diagram of row addressing circuitry and column sense amplifiers providing readout functionality from a pixel array in which the pixels provide digital outputs;
  • FIGS. 75R-75T are schematic circuit diagrams illustrating alternatives for diode-protecting ISFETs as discussed herein;
  • FIG. 76A is a diagrammatic illustration of a cross-section of a first example of a fluid-fluid reference electrode interface in which the reference electrode is introduced downstream in the reagent path from the flow cell;
  • FIGS. 76B and 76C are diagrammatic illustrations of two alternative examples of ways to construct apparatus to achieve the fluid-fluid interface of FIG. 76A;
  • FIG. 76D is a diagrammatic illustration of a cross-section of a second example of a fluid-fluid reference electrode interface in which the reference electrode is introduced upstream in the reagent path from the flow cell;
  • FIG. 77A is a high-level, partially block, partially circuit diagram showing a basic passive sensor pixel in which the voltage changes on the ISFET source and drain inject noise into the analyte, causing errors in the sensed values;
  • FIG. 77B is a high-level partially block, partially circuit diagram showing a basic passive sensor pixel in which the voltage changes on the ISFET drain are eliminated by tying it to ground, the pixel output is obtained via a column buffer, and CDS is employed on the output of the column buffer to reduce correlated noise;
  • FIG. 77C is a high-level partially block, partially circuit diagram showing a two-transistor passive sensor pixel in which the voltage changes on the ISFET drain and source are substantially eliminated, the pixel output is obtained via a buffer, and CDS is employed on the output of the column buffer to reduce correlated noise;
  • FIG. 78A is an isometric, see-through, diagrammatic illustration of one example of a flow multiplexer for supplying fluids to a flow cell as shown herein;
  • FIG. 78B is a top view of the apparatus of FIG. 78A;
  • FIG. 78C is a diagrammatic illustration of flow through the multiplexer member of FIGS. 78A and 78B during reagent delivery mode;
  • FIG. 78D is a diagrammatic illustration of flow through the multiplexer member of FIGS. 78A and 78B during ship washing and reagent priming modes
  • FIG. 78E is another diagrammatic illustration of wash solution flow through the multiplexer member;
  • FIG. 79 is a diagrammatic illustration of flows in the apparatus of FIGS. 78A-78E; and
  • FIGS. 80A and 80B are, respectively, top and side views of an alternative, “two-dimensional” fluid multiplexer.
  • DETAILED DESCRIPTION
  • Following below are more detailed descriptions of various concepts related to, and embodiments of, inventive methods and apparatus relating to large scale chemFET arrays for analyte detection and/or measurement. It should be appreciated that various concepts introduced above and discussed in greater detail below may be implemented in any of numerous ways, as the disclosed concepts are not limited to any particular manner of implementation. Examples of specific implementations and applications are provided primarily for illustrative purposes.
  • Various inventive embodiments according to the present disclosure are directed at least in part to a semiconductor-based/microfluidic hybrid system that combines the power of microelectronics with the biocompatibility of a microfluidic system. In some examples below, the microelectronics portion of the hybrid system is implemented in CMOS technology for purposes of illustration. It should be appreciated, however, that the disclosure is not intended to be limiting in this respect, as other semiconductor-based technologies may be utilized to implement various aspects of the microelectronics portion of the systems discussed herein.
  • One embodiment disclosed herein is directed to a large sensor array (e.g., a two-dimensional array) of chemically-sensitive field effect transistors (chemFETs). In related embodiments, the individual chemFET sensor elements or “pixels” of the array are configured to detect analyte presence (or absence), analyte levels (or amounts), and/or analyte concentration in a sample such as an unmanipulated sample, or as a result of chemical and/or biological processes (e.g., chemical reactions, cell cultures, neural activity, nucleic acid sequencing reactions, etc.) occurring in proximity to the array. Examples of chemFETs contemplated by various embodiments discussed in greater detail below include, but are not limited to, ion-sensitive field effect transistors (ISFETs) and enzyme-sensitive field effect transistors (EnFETs). In one exemplary implementation, one or more microfluidic structures is/are fabricated above the chemFET sensor array to provide for containment and/or confinement of a biological or chemical reaction in which an analyte of interest may be captured, produced, or consumed, as the case may be. For example, in one implementation, the microfluidic structure(s) may be configured as one or more wells (or microwells, or reaction chambers, or reaction wells as the terms are used interchangeably herein) disposed above one or more sensors of the array, such that the one or more sensors over which a given well is disposed detect and measure analyte presence, level, and/or concentration in the given well. Preferably, there is a 1:1 correspondence of chemFET sensors and reaction wells.
  • In another exemplary implementation, the invention encompasses a system comprising at least one two-dimensional array of reaction chambers, wherein each reaction chamber is coupled to a chemically-sensitive field effect transistor (“chemFET”) and each reaction chamber is no greater than 10 μm3 (i.e., 1 pL) in volume. Preferably, each reaction chamber is no greater than 0.34 pL, and more preferably no greater than 0.096 pL or even 0.012 pL in volume. A reaction chamber can optionally be 22, 32, 42, 52, 62, 72, 82, 92, or 102 square microns in cross-sectional area at the top. Preferably, the array has at least 102, 103, 104, 105, 106, 107, 108, 109, or more reaction chambers. The reaction chambers may be capacitively coupled to the chemFETs, and preferably are capacitively coupled to the chemFETs. Such systems may be used for high-throughput sequencing of nucleic acids.
  • As used herein, an array is a planar arrangement of elements such as sensors or wells. The array may be one or two dimensional. A one dimensional array is an array having one column (or row) of elements in the first dimension and a plurality of columns (or rows) in the second dimension. An example of a one dimensional array is a 1×5 array. A two dimensional array is an array having a plurality of columns (or rows) in both the first and the second dimensions. The number of columns (or rows) in the first and second dimensions may or may not be the same. An example of a two dimensional array is a 5×10 array.
  • In some embodiments, such a chemFET array/microfluidics hybrid structure may be used to analyze solution(s)/material(s) of interest containing nucleic acids. For example, such structures may be employed to sequence nucleic acids. Sequencing of nucleic acids may be performed to determine partial or complete nucleotide sequence of a nucleic acid, to detect the presence and in some instances nature of a mutation such as but not limited to a single nucleotide polymorphism in a nucleic acid, to identify source of a cell(s) or nucleic acid for example for forensic purposes, to detect abnormal cells such as cancer cells in the body optionally in the absence of detectable tumor masses, to identify pathogens in a sample such as a bodily sample for example for diagnostic and/or therapeutic purposes, to identify antibiotic resistant strains of pathogens in order to avoid unnecessary (and ineffective) therapeutic regimens, to determine what therapeutic regimen will be most effective to treat a subject having a particular condition as can be determined by the subject's genetic make-up (e.g., personalized medicine), to determine and compare nucleic acid expression profiles of two or more states (e.g., comparing expression profiles of diseased and normal tissue, or comparing expression profiles of untreated tissue and tissue treated with drug, enzymes, radiation or chemical treatment), to haplotype a sample (e.g., comparing genes or variations in genes on each of the two alleles present in a human subject), to karyotype a sample (e.g., analyzing chromosomal make-up of a cell or a tissue such as an embryo, to detect gross chromosomal or other genomic abnormalities), and to genotype (e.g., analyzing one or more genetic loci to determine for example carrier status and/or species-genus relationships).
  • The systems described herein can be utilized to sequence the nucleic acids of an entire genome, or any portion thereof. Genomes that can be sequenced include mammalian genomes, and preferably human genomes. Other genomes that can be sequenced include bacterial, viral, fungal and parasitic genomes. Such sequencing may lead to the identification of mutations that give rise to drug resistance, or general evolutionary drift from known species. This latter aspect is useful in determining for example whether a prior therapeutic (such as a vaccine) may be effective against current infecting strains. A specific example is the detection of new influenza strains and a determination of whether a prior year's vaccine cocktail will be effective against a new flu outbreak.
  • Thus the methods of the invention may be embraced by methods for detecting a nucleic acid in a sample. The nucleic acid may be a marker of its source such as a pathogen including but not limited to a virus, or a cancer or tumor in an individual. In the latter aspect, a sample such as a blood sample may be harvested from a subject and screened for the presence of an occult cancer cell such as one that has extravasated from its original tumor site. In yet another aspect, the methods may be used for forensic purposes in which samples are screened for the presence of a known nucleic acid (e.g., from a suspect or from a law enforcement DNA bank). In related aspects, a sample may be analyzed for nucleic acid heterogeneity in order to determine whether a sample is derived from one source (e.g., a single subject) or more than one source (e.g., a contaminated sample). The methods described herein may also be used to detect the presence of a nucleotide mutation such as but not limited to a single nucleotide polymorphism. Such mutation analysis or screening is typically performed in prenatal or postnatal diagnostics. The nature of the mutation can then be used to determine the most suitable course of therapy, in some instances. Thus the invention intends that any of the methods provided herein can be used in one or more diagnostic, forensic and/or therapeutic methods.
  • Various aspects of the invention employ a sequencing-by-synthesis approach for sequencing nucleic acids. This approach involves the synthesis of a new nucleic acid strand using a template nucleic acid. The template strand may be primed intermolecularly by hybridizing a sequencing primer to it at one end, or intramolecularly by folding over on itself at one end. The template strand may also be primed by introducing a break or a nick in one strand of a double-stranded nucleic acid, preferably but not exclusively near an end, as described in greater detail herein. In these embodiments, known nucleotides are incorporated into the “primer” based on complementarity with the template. The method requires that nucleotides be contacted with the primer (and thus template) (in the presence of polymerase and any other factors required for incorporation) in a selective manner.
  • In many embodiments, each nucleotide type is individually contacted with the primer and/or template. In other embodiments, combinations of two or three types of nucleotides may be contacted with the primer and/or template simultaneously. Since the identity of the nucleotides in contact with the primer and/or template at any given time is known, the identity of the incorporated nucleotides (if incorporated) is also known. And based on the necessary complementarity with the template, the sequence of the template can also be deduced. Using different types of nucleotides separately (e.g., using dATP, dCTP, dGTP or dTTP separately from each other), a high resolution sequence can be obtained. Using combinations (or mixtures) of nucleotides (e.g., using dATP, dCTP and dGTP together and separately from dTTP), a lower resolution sequence can be obtained that is nevertheless valuable for certain applications (e.g., ordering and aligning various higher resolution sequences). With regards to the latter embodiment, it will be understood that the invention contemplates using mixtures of any three nucleotides, and in some cases any two nucleotides, and not just the specific combinations recited above.
  • The nucleotides (or nucleotide triphosphates or deoxyribonucleotides or dNTPs, as they are referred to herein interchangeably) need not be and typically are not extrinsically labeled. Thus, naturally occurring nucleotides (i.e., nucleotides identical to those that exist in vivo naturally) or their synthetic counterparts are suitable for use in the methods of the invention. Such nucleotides may be referred to herein as being “unlabeled”.
  • Preferably, the nucleotides are delivered at substantially the same time to each template. Polymerase(s) are preferably already present, although they also may be introduced along with the nucleotides. The polymerases may be immobilized or may be free flowing. Once the nucleotides are incorporated (if complementarity exists) and any associated signal is detected, an enzyme, such as apyrase, is typically delivered to degrade any unused nucleotides, followed by a washing step to remove substantially all of the enzyme as well as any other remaining and undesirable components. The reaction may occur in a reaction chamber in some embodiments, while in others it may occur in the absence of reaction chambers. In these latter embodiments, the sensor surface may be continuous without any physical divider between sensors.
  • In important embodiments, the sequencing reaction is performed simultaneously on a plurality of identical templates in a reaction chamber, and optionally in a plurality of reaction chambers. Sequencing a different template in each reaction chamber allows a greater amount of sequence data to be obtained in any given run. Thus, using as many reaction chambers (and sensors) as possible in a given run also maximizes the amount of sequence data that can be obtained in any given run. In important embodiments, the templates in a reaction well are immobilized (e.g., covalently or non-covalently) onto and/or in a bead, referred to herein as a capture bead, or onto a solid support such as the chemFET surface.
  • It is to be understood that in this and other embodiments and aspects of the invention, a plurality may represent a subset of elements rather than the entirety of all elements. As an example, in the above embodiment, the plurality of templates in the reaction chamber that are sequenced may represent a subset or all of the templates in the reaction chamber. Thus this particular embodiment requires that at least two templates be sequenced, and it does not require that all the templates present in the reaction chamber be sequenced.
  • As described extensively herein, in some embodiments, nucleotide incorporation is detected through byproducts of the incorporation or by changes in charge to the newly synthesized nucleic acid, especially where it is immobilized on a chemFET surface, rather than by detecting the incorporated nucleotide itself. More specifically, some embodiments exploit the release of inorganic pyrophosphate (PPi), inorganic phosphate (Pi), and hydrogen ions (all of which are considered sequencing reaction byproducts) that occurs following incorporation of a nucleotide into a nucleic acid (such as a primer, for example). In some embodiments of the invention, the method detects the released hydrogen ions as an indication of nucleotide incorporation. The chemFETs (and chemFET arrays) described herein are suited to the detection of these ions as well as other sequencing reaction byproducts. It is to be understood that the aspects and embodiments described herein related to chemFETs equally contemplate and embrace ISFETs unless otherwise stated.
  • The invention includes methods for improving detection of the hydrogen ions by the chemFET. These methods include generating and/or detecting more hydrogen ions in a given sequencing reaction. This can be done by increasing the number of templates per reaction chamber, increasing the number of templates attached to each capture bead, increasing the number of templates being sequenced per reaction chamber, increasing the number of templates bound to the sensor surface, increasing the stability of the primer/template hybrid, increasing the processivity of the polymerase, and/or combining nucleotide incorporation with nucleotide excision (e.g., performing the sequencing-by-synthesis reaction in the context of a nick translation reaction), among other things. Another alternative or additional approach is to increase the number of released hydrogen ions that are actually detected by the chemFET. This can be done by preventing the released hydrogen ions from interacting with other components in the reaction well including any components with buffering potential. These embodiments include using buffering inhibitors (as described more fully herein) to saturate components that might otherwise sequester released hydrogen ions. Buffering inhibitors may be short RNA oligomers that bind to single stranded regions of the templates, or chemical compounds that interact with the materials comprised in the reaction chambers and/or chemFETs themselves.
  • Some aspects and embodiments presented herein involve dense chemFET arrays and reaction chamber arrays. It will be apparent that as arrays become more dense, area and/or volume of individual elements (e.g., sensor surfaces and reaction chambers) will typically become smaller in order to accommodate a greater number of sensors or reaction chambers without a concomitant (or significant) increase in total array area. However, it has been determined in accordance with an aspect of the invention that as volume of a reaction chamber decreases, the signal to noise ratio can actually increase due to an increased nucleic acid concentration. For example, it has been determined that a roughly 2.3 fold decrease in reaction chamber volume can yield about a 1.5 fold increase in signal to noise ratio. This increase can occur even if the total number of nucleic acids being sequenced is reduced. Thus, in some instances rather than losing signal by moving to more dense arrays, the invention contemplates a greater signal due to an increased concentration of nucleic acids in the smaller volume reaction chambers.
  • The invention also contemplates sequencing-by-synthesis methods that detect nucleotide incorporation events based on changes in charge at the chemFET surface due to the a change in charge of a moiety attached to the surface, such as a nucleic acid or a nucleic acid complex (e.g., a template/primer hybrid). Such methods include those that use or extend nucleic acids that are immobilized (e.g., covalently) to the surface of a chemFET. Nucleotide incorporation into a nucleic acid that is bound to a chemFET surface typically results in an increase in the negative charge of the bound nucleic acid or the complex in which it is present (e.g., a template/primer hybrid). In some instances, the primer will be bound to the chemFET surface while in other instances the template will be bound to the chemFET surface. In such instances, a plurality of identical, typically physically separate, nucleic acids are immobilized to individual chemFET surfaces and sequencing-by-synthesis reactions are performed on the plurality simultaneously and synchronously. In some embodiments, the nucleic acids are not concatemers and rather each will include only a single copy of the nucleic acid to be sequenced.
  • It will be understood that the sequencing methods provided herein can be used to sequence a genome or part thereof. As an example, such a method may include delivering fragmented nucleic acids from the genome or part thereof to a system for high-throughput sequencing comprising at least one array of reaction chambers, wherein each reaction chamber is coupled to a chemFET, and detecting a sequencing reaction in a reaction chamber via a signal from the chemFET coupled with the reaction chamber. Alternatively, the method may include delivering fragmented nucleic acids from the genome or part thereof to a sequencing apparatus comprising an array of reaction chambers, wherein each of the reaction chambers is disposed in a sensing relationship with an individual associated chemFET, and detecting a sequencing reaction a reaction chambers via a signal from its associated chemFET. Typically, all four nucleotides are flowed into the same reaction chamber, either individually (or separately) or as some mixture of less than all four nucleotides, in an ordered and known manner.
  • The methods provided herein may allow for at least 103, preferably at least 104, more preferably at least 105, and even more preferably at least 106 bases to be determined (or sequenced) per hour. In even more preferred embodiments, at least 107 bases, at least 108 bases, at least 109 bases, or at least 1010 bases are sequenced per hour using the methods and arrays discussed herein. Thus, the methods may be used to sequence an entire human genome within about 24 hours, more preferably within about 20 hours, even more preferably within about 15 hours, even more preferably within about 10 hours, even more preferably within about 5 hours, and most preferably within about 1 hour.
  • It should be appreciated, however, that while some illustrative examples of the concepts disclosed herein focus on nucleic acid sequencing, the invention contemplates a broader application of these methods and is not intended to be limited to these examples.
  • FIG. 8 generally illustrates a nucleic acid processing system 1000 comprising a large scale chemFET array, according to one inventive embodiment of the present disclosure. An example of a nucleic acid processing system is a nucleic acid sequencing system. In the discussion that follows, the chemFET sensors of the array are described for purposes of illustration as ISFETs configured for sensitivity to static and/or dynamic ion concentration, including but not limited to hydrogen ion concentration. However, it should be appreciated that the present disclosure is not limited in this respect, and that in any of the embodiments discussed herein in which ISFETs are employed as an illustrative example, other types of chemFETs may be similarly employed in alternative embodiments, as discussed in further detail below. Similarly it should be appreciated that various aspects and embodiments of the invention may employ ISFETs as sensors yet detect one or more ionic species that are not hydrogen ions.
  • The system 1000 includes a semiconductor/microfluidics hybrid structure 300 comprising an ISFET sensor array 100 and a microfluidics flow cell 200. In one aspect, the flow cell 200 may comprise a number of wells (not shown in FIG. 8) disposed above corresponding sensors of the ISFET array 100. In another aspect, the flow cell 200 is configured to facilitate the sequencing of one or more identical template nucleic acids disposed in the flow cell via the controlled and ordered introduction to the flow cell of a number of sequencing reagents 272 (e.g., dATP, dCTP, dGTP, dTTP (generically referred to herein as dNTP), divalent cations such as but not limited to Mg2+, wash solutions, and the like).
  • As illustrated in FIG. 8, the introduction of the sequencing reagents to the flow cell 200 may be accomplished via one or more valves 270 and one or more pumps 274 that are controlled by a computer 260. A number of techniques may be used to admit (i.e., introduce) the various processing materials (i.e., solutions, samples, reaction reagents, wash solutions, and the like) into the wells of such a flow cell. As illustrated in FIG. 8, reagents including dNTP may be admitted to the flow cell (e.g., via the computer controlled valve 270 and pumps 274) from which they diffuse into the wells, or reagents may be added to the flow cell by other means such as an ink jet. In yet another example, the flow cell 200 may not contain any wells, and diffusion properties of the reagents may be exploited to limit cross-talk between respective sensors of the ISFET array 100, or nucleic acids may be immobilized on the surfaces of sensors of the ISFET array 100.
  • The flow cell 200 in the system of FIG. 8 may be configured in a variety of manners to provide one or more analytes (or one or more reaction solutions) in proximity to the ISFET array 100. For example, a template nucleic acid may be directly attached or applied in suitable proximity to one or more pixels of the sensor array 100, or in or on a support material (e.g., one or more “beads”) located above the sensor array but within the reaction chambers, or on the sensor surface itself. Processing reagents (e.g., enzymes such as polymerases) can also be placed on the sensors directly, or on one or more solid supports (e.g., they may be bound to the capture beads or to other beads) in proximity to the sensors, or they may be in solution and free-flowing. It is to be understood that the device may be used without wells or beads.
  • In the system 1000 of FIG. 8, according to one embodiment the ISFET sensor array 100 monitors ionic species, and in particular, changes in the levels/amounts and/or concentration of ionic species, including hydrogen ions. In important embodiments, the species are those that result from a nucleic acid synthesis or sequencing reaction.
  • Various embodiments of the present invention may relate to monitoring/measurement techniques that involve the static and/or dynamic responses of an ISFET. It is to be understood that although the particular example of a nucleic acid synthesis or sequencing reaction is provided to illustrate the transient or dynamic response of chemFET such as an ISFET, the transient or dynamic response of a chemFET such as an ISFET as discussed below may be exploited for monitoring/sensing other types of chemical and/or biological activity beyond the specific example of a nucleic acid synthesis or sequencing reaction.
  • As noted above, the ISFET may be employed to measure steady state pH values, since in some embodiments pH change is proportional to the number of nucleotides incorporated into the newly synthesized nucleic acid strand. In other embodiments discussed in greater detail below, the FET sensor array may be particularly configured for sensitivity to other analytes that may provide relevant information about the chemical reactions of interest. An example of such a modification or configuration is the use of analyte-specific receptors to bind the analytes of interest, as discussed in greater detail herein.
  • Via an array controller 250 (also under operation of the computer 260), the ISFET array may be controlled so as to acquire data (e.g., output signals of respective ISFETs of the array) relating to analyte detection and/or measurements, and collected data may be processed by the computer 260 to yield meaningful information associated with the processing (including sequencing) of the template nucleic acid.
  • With respect to the ISFET array 100 of the system 1000 shown in FIG. 8, in one embodiment the array 100 is implemented as an integrated circuit designed and fabricated using standard CMOS processes (e.g., 0.35 micrometer process, 0.18 micrometer process), comprising all the sensors and electronics needed to monitor/measure one or more analytes and/or reactions. With reference again to FIG. 1, one or more reference electrodes 76 to be employed in connection with the ISFET array 100 may be placed in the flow cell 200 (e.g., disposed in “unused” wells of the flow cell) or otherwise exposed to a reference (e.g., one or more of the sequencing reagents 172) to establish a base line against which changes in analyte concentration proximate to respective ISFETs of the array 100 are compared. The reference electrode(s) 76 may be electrically coupled to the array 100, the array controller 250 or directly to the computer 260 to facilitate analyte measurements based on voltage signals obtained from the array 100; in some implementations, the reference electrode(s) may be coupled to an electric ground or other predetermined potential, or the reference electrode voltage may be measured with respect to ground, to establish an electric reference for ISFET output signal measurements, as discussed further below.
  • The ISFET array 100 is not limited to any particular size, as one- or two-dimensional arrays, including but not limited to as few as two to 256 pixels (e.g., 16 by 16 pixels in a two-dimensional implementation) or as many as 54 mega-pixels (e.g., 7400 by 7400 pixels in a two-dimensional implementation) or even greater may be fabricated and employed for various chemical/biological analysis purposes pursuant to the concepts disclosed herein. In one embodiment of the exemplary system shown in FIG. 8, the individual ISFET sensors of the array may be configured for sensitivity to hydrogen ions; however, it should also be appreciated that the present disclosure is not limited in this respect, as individual sensors of an ISFET sensor array may be particularly configured for sensitivity to other types of ion concentrations for a variety of applications (materials sensitive to other ions such as sodium, silver, iron, bromine, iodine, calcium, and nitrate, for example, are known).
  • More generally, a chemFET array according to various embodiments of the present disclosure may be configured for sensitivity to any one or more of a variety of analytes. In one embodiment, one or more chemFETs of an array may be particularly configured for sensitivity to one or more analytes and/or one or more binding events, and in other embodiments different chemFETs of a given array may be configured for sensitivity to different analytes. For example, in one embodiment, one or more sensors (pixels) of the array may include a first type of chemFET configured to be sensitive to a first analyte, and one or more other sensors of the array may include a second type of chemFET configured to be sensitive to a second analyte different from the first analyte. In one exemplary implementation, both a first and a second analyte may indicate a particular reaction such as for example nucleotide incorporation in a sequencing-by-synthesis method. Of course, it should be appreciated that more than two different types of chemFETs may be employed in any given array to detect and/or measure different types of analytes and/or other reactions. In general, it should be appreciated in any of the embodiments of sensor arrays discussed herein that a given sensor array may be “homogeneous” and include chemFETs of substantially similar or identical types to detect and/or measure a same type of analyte (e.g., hydrogen ions), or a sensor array may be “heterogeneous” and include chemFETs of different types to detect and/or measure different analytes. For simplicity of discussion, again the example of an ISFET is discussed below in various embodiments of sensor arrays, but the present disclosure is not limited in this respect, and several other options for analyte sensitivity are discussed in further detail below (e.g., in connection with FIG. 11A).
  • The chemFET arrays configured for sensitivity to any one or more of a variety of analytes may be disposed in electronic chips, and each chip may be configured to perform one or more different biological reactions. The electronic chips can be connected to the portions of the above-described system which read the array output by means of pins coded in a manner such that the pins convey information to the system as to characteristics of the array and/or what kind of biological reaction(s) is(are) to be performed on the particular chip.
  • In one embodiment, the invention encompasses an electronic chip configured for conducting biological reactions thereon, comprising one or more pins for delivering information to a circuitry identifying a characteristic of the chip and/or a type of reaction to be performed on the chip. Such reactions or applications may include, but are not limited to, nucleotide polymorphism detection, short tandem repeat detection, or general sequencing.
  • In another embodiment, the invention encompasses a system adapted to perform more than one biological reaction on a chip the system comprising a chip receiving module adapted for receiving the chip, and a receiver for detecting information from the electronic chip, wherein the information determines a biological reaction to be performed on the chip. Typically, the system further comprises one or more reagents to perform the selected biological reaction.
  • In another embodiment, the invention encompasses an apparatus for sequencing a polymer template comprising at least one integrated circuit that is configured to relay information about spatial location of a reaction chamber, the type of monomer added to the spatial location, and the time required to complete reaction of a reagent comprising a plurality of the monomers with an elongating polymer.
  • In exemplary implementations based on 0.35 micrometer CMOS processing techniques (or CMOS processing techniques capable of smaller feature sizes), each pixel of the ISFET array 100 may include an ISFET and accompanying enable/select components, and may occupy an area on a surface of the array of approximately ten micrometers by ten micrometers (i.e., 100 micrometers2) or less; stated differently, arrays having a pitch (center of pixel-to-center of pixel spacing) on the order of 10 micrometers or less may be realized. An array pitch on the order of 10 micrometers or less using a 0.35 micrometer CMOS processing technique constitutes a significant improvement in terms of size reduction with respect to prior attempts to fabricate ISFET arrays, which resulted in pixel sizes on the order of at least 12 micrometers or greater.
  • More specifically, in some embodiments discussed further below based on the inventive concepts disclosed herein, an array pitch of approximately nine (9) micrometers allows an ISFET array including over 256,000 pixels (e.g. a 512 by 512 array), together with associated row and column select and bias/readout electronics, to be fabricated on a 7 millimeter by 7 millimeter semiconductor die, and a similar sensor array including over four million pixels (e.g., a 2048 by 2048 array) to be fabricated on a 21 millimeter by 21 millimeter die. In other examples, an array pitch of approximately 5 micrometers allows an ISFET array including approximately 1.55 Mega-pixels (e.g., a 1348 by 1152 array) and associated electronics to be fabricated on a 9 millimeter by 9 millimeter die, and an ISFET sensor array including over 14 Mega-pixels and associated electronics on a 22 millimeter by 20 millimeter die. In yet other implementations, using a CMOS fabrication process in which feature sizes of less than 0.35 micrometers are possible (e.g., 0.18 micrometer CMOS processing techniques), ISFET sensor arrays with a pitch significantly below 5 micrometers may be fabricated (e.g., array pitch of 2.6 micrometers or pixel area of less than 8 or 9 micrometers2), providing for significantly dense ISFET arrays.
  • As will be understood by those of skill in the art, the ability to miniaturize sequencing reactions reduces the time, cost and labor involved in sequencing of large genomes (such as the human genome). Of course, it should be appreciated that pixel sizes greater than 10 micrometers (e.g., on the order of approximately 20, 50, 100 micrometers or greater) may be implemented in various embodiments of chemFET arrays according to the present disclosure also.
  • In other aspects of the system shown in FIG. 8, one or more array controllers 250 may be employed to operate the ISFET array 100 (e.g., selecting/enabling respective pixels of the array to obtain output signals representing analyte measurements). In various implementations, one or more components constituting one or more array controllers may be implemented together with pixel elements of the arrays themselves, on the same integrated circuit (IC) chip as the array but in a different portion of the IC chip, or off-chip. In connection with array control, analog-to-digital conversion of ISFET output signals may be performed by circuitry implemented on the same integrated circuit chip as the ISFET array, but located outside of the sensor array region (locating the analog to digital conversion circuitry outside of the sensor array region allows for smaller pitch and hence a larger number of sensors, as well as reduced noise). In various exemplary implementations discussed further below, analog-to-digital conversion can be 4-bit, 8-bit, 12-bit, 16-bit or other bit resolutions depending on the signal dynamic range required.
  • In general, data may be removed from the array in serial or parallel or some combination thereof. On-chip controllers (or sense amplifiers) can control the entire chip or some portion of the chip. Thus, the chip controllers or signal amplifiers may be replicated as necessary according to the demands of the application. The array may, but need not be, uniform. For instance, if signal processing or some other constraint requires instead of one large array multiple smaller arrays, each with its own sense amplifiers or controller logic, that is quite feasible.
  • Having provided a general overview of the role of a chemFET (e.g., ISFET) array 100 in an exemplary system 1000 for measuring one or more analytes, following below are more detailed descriptions of exemplary chemFET arrays according to various inventive embodiments of the present disclosure that may be employed in a variety of applications. Again, for purposes of illustration, chemFET arrays according to the present disclosure are discussed below using the particular example of an ISFET array, but other types of chemFETs may be employed in alternative embodiments. Also, again, for purposes of illustration, chemFET arrays are discussed in the context of nucleic acid sequencing applications, however, the invention is not so limited and rather contemplates a variety of applications for the chemFET arrays described herein.
  • As noted above, various inventive embodiments disclosed herein specifically improve upon the ISFET array design of Milgrew et al. discussed above in connection with FIGS. 1-7, as well as other prior ISFET array designs, so as to significantly reduce pixel size and array pitch, and thereby increase the number of pixels of an ISFET array for a given semiconductor die size (i.e., increase pixel density). In some implementations, an increase in pixel density is accomplished while at the same time increasing the signal-to-noise ratio (SNR) of output signals corresponding to respective measurements relating to one or more analytes and the speed with which such output signals may be read from the array. In particular, by relaxing requirements for ISFET linearity and focusing on a more limited signal output/measurement range (e.g., signal outputs corresponding to a pH range of from approximately 7 to 9 or smaller rather than 1 to 14, as well as output signals that may not necessarily relate significantly to pH changes in sample), individual pixel complexity and size may be significantly reduced, thereby facilitating the realization of very large scale dense ISFET arrays.
  • To this end; FIG. 9 illustrates one column 102 j of an ISFET array 100, according to one inventive embodiment of the present disclosure, in which ISFET pixel design is appreciably simplified to facilitate small pixel size. The column 102 j includes n pixels, the first and last of which are shown in FIG. 9 as the pixels 105 1 and 105 n. As discussed further below in connection with FIG. 13, a complete two-dimensional ISFET array 100 based on the column design shown in FIG. 9 includes m such columns 102 j (j=1, 2, 3, . . . m) with successive columns of pixels generally arranged side by side. Of course, the ISFETs may be arrayed in other than a row-column grid, such as in a honeycomb pattern.
  • In one aspect of the embodiment shown in FIG. 9, each pixel 105 1 through 105 n of the column 102 j includes only three components, namely, an ISFET 150 (also labeled as Q1) and two MOSFET switches Q2 and Q3. The MOSFET switches Q2 and Q3 are both responsive to one of n row select signals ( RowSel1 through RowSeln , logic low active) so as to enable or select a given pixel of the column 102 j. Using pixel 105 1 as an example that applies to all pixels of the column, the transistor switch Q3 couples a controllable current source 106 j via the line 112 1 to the source of the ISFET 150 upon receipt of the corresponding row select signal via the line 118 1. The transistor switch Q2 couples the source of the ISFET 150 to column bias/readout circuitry 110 j via the line 114 1 upon receipt of the corresponding row select signal. The drain of the ISFET 150 is directly coupled via the line 116 1 to the bias/readout circuitry 110 j. Thus, only four signal lines per pixel, namely the lines 112 1, 114 1, 116 1 and 118 1, are required to operate the three components of the pixel 105 1. In an array of m columns, a given row select signal is applied simultaneously to one pixel of each column (e.g., at same positions in respective columns).
  • As illustrated in FIG. 9, the design for the column 102 j according to one embodiment is based on general principles similar to those discussed above in connection with the column design of Milgrew et al. shown FIG. 3. In particular, the ISFET of each pixel, when enabled, is configured with a constant drain current IDj and a constant drain-to-source voltage VDSj to obtain an output signal VSj from an enabled pixel according to Eq. (3) above. To this end, the column 102 j includes a controllable current source 106 j, coupled to an analog circuitry positive supply voltage VDDA and responsive to a bias voltage VB1, that is shared by all pixels of the column to provide a constant drain current IDj to the ISFET of an enabled pixel. In one aspect, the current source 106 j is implemented as a current mirror including two long-channel length and high output impedance MOSFETs. The column also includes bias/readout circuitry 110 j that is also shared by all pixels of the column to provide a constant drain-to-source voltage to the ISFET of an enabled pixel. The bias/readout circuitry 110 j is based on a Kelvin Bridge configuration and includes two operational amplifiers 107A (A1) and 107B (A2) configured as buffer amplifiers and coupled to analog circuitry positive supply voltage VDDA and the analog supply voltage ground VSSA. The bias/readout circuitry also includes a controllable current sink 108 j, (similar to the current source 106 j) coupled to the analog ground VSSA and responsive to a bias voltage VB2, and a diode-connected MOSFET Q6. The bias voltages VB1 and VB2 are set/controlled in tandem to provide a complimentary source and sink current. The voltage developed across the diode-connected MOSFET Q6 as a result of the current drawn by the current sink 108 j is forced by the operational amplifiers to appear across the drain and source of the ISFET of an enabled pixel as a constant drain-source voltage VDSj.
  • By employing the diode-connected MOSFET Q6 in the bias/readout circuitry 110 j of FIG. 9, rather than the resistor RSDj as shown in the design of Milgrew et al. illustrated in FIG. 3, a significant advantage is provided in a CMOS fabrication process; specifically, matching resistors can be fabricated with error tolerances generally on the order of ±20%, whereas MOSFET matching in a CMOS fabrication process is on the order of ±1% or better. The degree to which the component responsible for providing a constant ISFET drain-to-source voltage VDsj can be matched from column to column significantly affects measurement accuracy (e.g., offset) from column to column. Thus, employing the MOSFET Q6 rather than a resistor appreciably mitigates measurement offsets from column-to-column. Furthermore, whereas the thermal drift characteristics of a resistor and an ISFET may be appreciably different, the thermal drift characteristics of a MOSFET and ISFET are substantially similar, if not virtually identical; hence, any thermal drift in MOSFET Q6 virtually cancels any thermal drift from ISFET Q1, resulting in greater measurement stability with changes in array temperature.
  • In FIG. 9, the column bias/readout circuitry 110 j also includes sample/hold and buffer circuitry to provide an output signal VCOLj from the column. In particular, after one of the pixels 105 1 through 105 n is enabled or selected via the transistors Q2 and Q3 in each pixel, the output of the amplifier 107A (A1), i.e., a buffered VSj, is stored on a column sample and hold capacitor Csh via operation of a switch (e.g., a transmission gate) responsive to a column sample and hold signal COL SH. Examples of suitable capacitances for the sample and hold capacitor include, but are not limited to, a range of from approximately 500 fF to 2 pF. The sampled voltage is buffered via a column output buffer amplifier 111 j (BUF) and provided as the column output signal VCOLj. As also shown in FIG. 9, a reference voltage VREF may be applied to the buffer amplifier 111 j, via a switch responsive to a control signal CAL, to facilitate characterization of column-to-column non-uniformities due to the buffer amplifier 111 j and thus allow post-read data correction.
  • FIG. 9A illustrates an exemplary circuit diagram for one of the amplifiers 107A of the bias/readout circuitry 110 j (the amplifier 107B is implemented identically), and FIG. 9B is a graph of amplifier bias vs. bandwidth for the amplifiers 107A and 107B. As shown in FIG. 9A, the amplifier 107A employs an arrangement of multiple current mirrors based on nine MOSFETs (M1 through M9) and is configured as a unity gain buffer, in which the amplifier's inputs and outputs are labeled for generality as IN+ and VOUT, respectively. The bias voltage VB4 (representing a corresponding bias current) controls the transimpedance of the amplifier and serves as a bandwidth control (i.e., increased bandwidth with increased current). With reference again to FIG. 9, due to the sample and hold capacitor Csh, the output of the amplifier 107A essentially drives a filter when the sample and hold switch is closed. Accordingly, to achieve appreciably high data rates, the bias voltage VB4 may be adjusted to provide higher bias currents and increased amplifier bandwidth. From FIG. 9B, it may be observed that in some exemplary implementations, amplifier bandwidths of at least 40 MHz and significantly greater may be realized. In some implementations, amplifier bandwidths as high as 100 MHz may be appropriate to facilitate high data acquisition rates and relatively lower pixel sample or “dwell” times (e.g., on the order of 10 to 20 microseconds).
  • In another aspect of the embodiment shown in FIG. 9, unlike the pixel design of Milgrew et al. shown in FIG. 3, the pixels 105 1 through 105 n do not include any transmission gates or other devices that require both n-channel and p-channel FET components; in particular, the pixels 105 1 through 105 n of this embodiment include only FET devices of a same type (i.e., only n-channel or only p-channel). For purposes of illustration, the pixels 105 1 and 105 n illustrated in FIG. 9 are shown as comprising only p-channel components, i.e., two p-channel MOSFETs Q2 and Q3 and a p-channel ISFET 150. By not employing a transmission gate to couple the source of the ISFET to the bias/readout circuitry 110 j, some dynamic range for the ISFET output signal (i.e., the ISFET source voltage VS) may be sacrificed. However, by potentially foregoing some output signal dynamic range (and thereby potentially limiting measurement range for a given static and/or dynamic chemical property, such as pH), the requirement of different type FET devices (both n-channel and p-channel) in each pixel may be eliminated and the pixel component count reduced. As discussed further below in connection with FIGS. 10-12, this significantly facilitates pixel size reduction. Thus, in one aspect, there is a beneficial tradeoff between reduced dynamic range and smaller pixel size.
  • In yet another aspect of the embodiment shown in FIG. 9, unlike the pixel design of Milgrew et al., the ISFET 150 of each pixel 105 1 through 105 n does not have its body connection tied to its source (i.e., there is no electrical conductor coupling the body connection and source of the ISFET such that they are forced to be at the same electric potential during operation). Rather, the body connections of all ISFETs of the array are tied to each other and to a body bias voltage VBODY. While not shown explicitly in FIG. 9, the body connections for the MOSFETs Q2 and Q3 likewise are not tied to their respective sources, but rather to the body bias voltage VBODY. In one exemplary implementation based on pixels having all p-channel components, the body bias voltage VBODY is coupled to the highest voltage potential available to the array (e.g., VDDA), as discussed further below in connection with FIG. 17.
  • By not tying the body connection of each ISFET to its source, the possibility of some non-zero source-to-body voltage VSB may give rise to the “body effect,” as discussed above in connection with FIG. 1, which affects the threshold voltage VTH of the ISFET according to a nonlinear relationship (and thus, according to Eqs. (3), (4) and (5) may affect detection and/or measurement of analyte activity giving rise to surface potential changes at the analyte/passivation layer interface). However, by focusing on a reduced ISFET output signal dynamic range, any body effect that may arise in the ISFET from a non-zero source-to-body voltage may be relatively minimal. Thus, any measurement nonlinearity that may result over the reduced dynamic range may be ignored as insignificant or taken into consideration and compensated (e.g., via array calibration and data processing techniques, as discussed further below in connection with FIG. 17). By not tying each ISFET source to its body connection, all of the FETs constituting the pixel may share a common body connection, thereby further facilitating pixel size reduction, as discussed further below in connection with FIGS. 10-12. Accordingly, in another aspect, there is a beneficial tradeoff between reduced linearity and smaller pixel size.
  • FIG. 10 illustrates a top view of a chip layout design for the pixel 105 1 shown in FIG. 9, according to one inventive embodiment of the present disclosure. FIG. 11A shows a composite cross-sectional view along the line I-I of the pixel shown in FIG. 10, including additional elements on the right half of FIG. 10 between the lines II-II and III-III, illustrating a layer-by-layer view of the pixel fabrication, and FIGS. 12A through 12L provide top views of each of the fabrication layers shown in FIG. 11A (the respective images of FIGS. 12A through 12L are superimposed one on top of another to create the pixel chip layout design shown in FIG. 10). In one exemplary implementation, the pixel design illustrated in FIGS. 10-12 may be realized using a standard 4-metal, 2-poly, 0.35 micrometer CMOS process to provide a geometrically square pixel having a dimension “e” as shown in FIG. 10 of approximately 9 micrometers, and a dimension “f” corresponding to the ISFET sensitive area of approximately 7 micrometers.
  • In the top view of FIG. 10, the ISFET 150 (labeled as Q1 in FIG. 10) generally occupies the right center portion of the pixel illustration, and the respective locations of the gate, source and drain of the ISFET are indicated as Q1 G, Q1 S and Q1 D. The MOSFETs Q2 and Q3 generally occupy the left center portion of the pixel illustration; the gate and source of the MOSFET Q2 are indicated as Q2 G and Q2 S, and the gate and source of the MOSFET Q3 are indicated as Q3 G and Q3 S. In one aspect of the layout shown in FIG. 10, the MOSFETs Q2 and Q3 share a drain, indicated as Q2/3 D. In another aspect, it may be observed generally from the top view of FIG. 10 that the ISFET is formed such that its channel lies along a first axis of the pixel (e.g., parallel to the line I-I), while the MOSFETs Q2 and Q3 are formed such that their channels lie along a second axis perpendicular to the first axis. FIG. 10 also shows the four lines required to operate the pixel, namely, the line 112 1 coupled to the source of Q3, the line 114 1 coupled to the source of Q2, the line 116 1 coupled to the drain of the ISFET; and the row select line 118 1 coupled to the gates of Q2 and Q3. With reference to FIG. 9, it may be appreciated that all pixels in a given column share the lines 112, 114 and 116 (e.g., running vertically across the pixel in FIG. 10), and that all pixels in a given row share the line 118 (e.g., running horizontally across the pixel in FIG. 10); thus, based on the pixel design of FIG. 9 and the layout shown in FIG. 10, only four metal lines need to traverse each pixel.
  • With reference now to the cross-sectional view of FIG. 11A, highly doped p-type regions 156 and 158 (lying along the line I-I in FIG. 10) in n-well 154 constitute the source (S) and drain (D) of the ISFET, between which lies a region 160 of the n-well in which the ISFETs p-channel is formed below the ISFETs polysilicon gate 164 and a gate oxide 165. According to one aspect of the inventive embodiment shown in FIGS. 10 and 11, all of the FET components of the pixel 105 1 are fabricated as p-channel FETs in the single n-type well 154 formed in a p-type semiconductor substrate 152. This is possible because, unlike the design of Milgrew et al., 1) there is no requirement for a transmission gate in the pixel; and 2) the ISFETs source is not tied to the n-well's body connection. More specifically, highly doped n-type regions 162 provide a body connection (B) to the n-well 154 and, as shown in FIG. 10, the body connection B is coupled to a metal conductor 322 around the perimeter of the pixel 105 1. However, the body connection is not directly electrically coupled to the source region 156 of the ISFET (i.e., there is no electrical conductor coupling the body connection and source such that they are forced to be at the same electric potential during operation), nor is the body connection directly electrically coupled to the gate, source or drain of any component in the pixel. Thus, the other p-channel FET components of the pixel, namely Q2 and Q3, may be fabricated in the same n-well 154.
  • In the composite cross-sectional view of FIG. 11A, a highly doped p-type region 159 is also visible (lying along the line I-I in FIG. 10), corresponding to the shared drain (D) of the MOSFETs Q2 and Q3. For purposes of illustration, a polysilicon gate 166 of the MOSFET Q3 also is visible in FIG. 11A, although this gate does not lie along the line I-I in FIG. 10, but rather “behind the plane” of the cross-section along the line I-I. However, for simplicity, the respective sources of the MOSFETs Q2 and Q3 shown in FIG. 10, as well as the gate of Q2, are not visible in FIG. 11A, as they lie along the same axis (i.e., perpendicular to the plane of the figure) as the shared drain (if shown in FIG. 11A, these elements would unduly complicate the composite cross-sectional view of FIG. 11A).
  • Above the substrate, gate oxide, and polysilicon layers shown in FIG. 11A, a number of additional layers are provided to establish electrical connections to the various pixel components, including alternating metal layers and oxide layers through which conductive vias are formed. Pursuant to the example of a 4-Metal CMOS process, these layers are labeled in FIG. 11A as “Contact,” “Metal1,” “Via1,” “Metal2,” “Via2,” “Metal3,” “Via3,” and “Metal4.” (Note that more or fewer metal layers may be employed.) To facilitate an understanding particularly of the ISFET electrical connections, the composite cross-sectional view of FIG. 11A shows additional elements of the pixel fabrication on the right side of the top view of FIG. 10 between the lines II-II and III-III. With respect to the ISFET electrical connections, the topmost metal layer 304 corresponds to the ISFETs sensitive area 178, above which is disposed an analyte-sensitive passivation layer 172. The topmost metal layer 304, together with the ISFET polysilicon gate 164 and the intervening conductors 306, 308, 312, 316, 320, 326 and 338, form the ISFETs “floating gate” structure 170, in a manner similar to that discussed above in connection with a conventional ISFET design shown in FIG. 1. An electrical connection to the ISFETs drain is provided by the conductors 340, 328, 318, 314 and 310 coupled to the line 116 1. The ISFETs source is coupled to the shared drain of the MOSFETs Q2 and Q3 via the conductors 334 and 336 and the conductor 324 (which lies along the line I-I in FIG. 10). The body connections 162 to the n-well 154 are electrically coupled to a metal conductor 322 around the perimeter of the pixel on the “Metal1” layer via the conductors 330 and 332.
  • As indicated above, FIGS. 12A through 12L provide top views of each of the fabrication layers shown in FIG. 11A (the respective images of FIGS. 12A through 12L are superimposed one on top of another to create the pixel chip layout design shown in FIG. 10). In FIG. 12, the correspondence between the lettered top views of respective layers and the cross-sectional view of FIG. 11A is as follows: A) n-type well 154; B) Implant; C) Diffusion; D) polysilicon gates 164 (ISFET) and 166 (MOSFETs Q2 and Q3); E) contacts; F) Metal1; G) Via1; H) Metal2; I) Via2; J) Metal3; K) Via3; L) Metal4 (top electrode contacting ISFET gate). The various reference numerals indicated in FIGS. 12A through 12L correspond to the identical features that are present in the composite cross-sectional view of FIG. 11A.
  • At least in some applications, pixel capacitance may be a salient parameter for some type of analyte measurements. Accordingly, in another embodiment related to pixel layout and design, various via and metal layers may be reconfigured so as to at least partially mitigate the potential for parasitic capacitances to arise during pixel operation. For example, in one such embodiment, pixels are designed such that there is a greater vertical distance between the signal lines 112 1, 114 1, 116 1 and 118 1, and the topmost metal layer 304 constituting the floating gate structure 170.
  • In the embodiment described immediately above, with reference again to FIG. 11A, it may be readily observed that the topmost metal layer 304 is formed in the Metal4 layer (also see FIG. 12L), and the signal lines 112 1, 114 1, and 116 1 are formed in the Metal3 layer (also see FIG. 12J). Also, while not visible in the view of FIG. 11A, it may be observed from FIG. 12H that the signal line 118 1 is formed in the Metal2 layer. As one or more of these signals may be grounded from time to time during array operation, a parasitic capacitance may arise between any one or more of these signal lines and metal layer 304. By increasing a distance between these signal lines and the metal layer 304, such parasitic capacitance may be reduced.
  • To this end, in another embodiment some via and metal layers are reconfigured such that the signal lines 112 1, 114 1, 116 1 and 118 1 are implemented in the Metal1 and Metal2 layers, and the Metal3 layer is used only as a jumper between the Metal2 layer component of the floating gate structure 170 and the topmost metal layer 304, thereby ensuring a greater distance between the signal lines and the metal layer 304. FIG. 10-1 illustrates a top view of a such a chip layout design for a cluster of four neighboring pixels of an chemFET array shown in FIG. 9, with one particular pixel 105 1 identified and labeled. FIG. 11A-1 shows a composite cross-sectional view of neighboring pixels, along the line I-I of the pixel 105 1 shown in FIG. 10-1, including additional elements between the lines II-II, illustrating a layer-by-layer view of the pixel fabrication, and FIGS. 12-1A through 12-1L provide top views of each of the fabrication layers shown in FIG. 11A-1 (the respective images of FIGS. 12-1A through 12-1L are superimposed one on top of another to create the pixel chip layout design shown in FIG. 10-1).
  • In FIG. 10-1, it may be observed that the pixel top view layout is generally similar to that shown in FIG. 10. For example, in the top view, the ISFET 150 generally occupies the right center portion of each pixel, and the MOSFETs Q2 and Q3 generally occupy the left center portion of the pixel illustration. Many of the component labels included in FIG. 10 are omitted from FIG. 10-1 for clarity, although the ISFET polysilicon gate 164 is indicated in the pixel 105 1 for orientation. FIG. 10-1 also shows the four lines (112 1, 114 1, 116 1 and 118 1) required to operate the pixel. One noteworthy difference between FIG. 10 and FIG. 10-1 relates to the metal conductor 322 (located on the Metal1 layer) which provides an electrical connection to the body region 162; namely, in FIG. 10, the conductor 322 surrounds a perimeter of the pixel, whereas in FIG. 10-1, the conductor 322 does not completely surround a perimeter of the pixel but includes discontinuities 727. These discontinuities 727 permit the line 118 1 to also be fabricated on the Metal1 layer and traverse the pixel to connect to neighboring pixels of a row.
  • With reference now to the cross-sectional view of FIG. 11A-1, three adjacent pixels are shown in cross-section, with the center pixel corresponding to the pixel 105 1 in FIG. 10-1 for purposes of discussion. As in the embodiment of FIG. 11A, all of the FET components of the pixel 105 1 are fabricated as p-channel FETs in the single n-type well 154. Additionally, as in FIG. 11A, in the composite cross-sectional view of FIG. 11A-1 the highly doped p-type region 159 is also visible (lying along the line I-I in FIG. 10-1), corresponding to the shared drain (D) of the MOSFETs Q2 and Q3. For purposes of illustration, the polysilicon gate 166 of the MOSFET Q3 also is visible in FIG. 11A-1, although this gate does not lie along the line I-I in FIG. 10-1, but rather “behind the plane” of the cross-section along the line I-I. However, for simplicity, the respective sources of the MOSFETs Q2 and Q3 shown in FIG. 10-1, as well as the gate of Q2, are not visible in FIG. 11A-1, as they lie along the same axis (i.e., perpendicular to the plane of the figure) as the shared drain. Furthermore, to facilitate an understanding of the ISFET floating gate electrical connections, the composite cross-sectional view of FIG. 11A-1 shows additional elements of the pixel fabrication between the lines II-II of FIG. 10-1.
  • More specifically, as in the embodiment of FIG. 11A, the topmost metal layer 304 corresponds to the ISFETs sensitive area 178, above which is disposed an analyte-sensitive passivation layer 172. The topmost metal layer 304, together with the ISFET polysilicon gate 164 and the intervening conductors 306, 308, 312, 316, 320, 326 and 338, form the ISFETs floating gate structure 170. However, unlike the embodiment of FIG. 11A, an electrical connection to the ISFETs drain is provided by the conductors 340, 328, and 318, coupled to the line 116 1 which is formed in the Metal2 layer rather than the Metal3 layer. Additionally, the lines 112 1 and 114 1 also are shown in FIG. 11A-1 as formed in the Metal2 layer rather than the Metal3 layer. The configuration of these lines, as well as the line 118 1, may be further appreciated from the respective images of FIGS. 12-1A through 12-1L (in which the correspondence between the lettered top views of respective layers and the cross-sectional view of FIG. 11A-1 is the same as that described in connection with FIGS. 12A-12L); in particular, it may be observed in FIG. 12-1F that the line 118 1, together with the metal conductor 322, is formed in the Metal1 layer, and it may be observed that the lines 112 1, 114 1 and 116 1 are formed in the Metal2 layer, leaving only the jumper 308 of the floating gate structure 170 in the Metal3 layer shown in FIG. 12-1J.
  • Accordingly, by consolidating the signal lines 112 1, 114 1, 116 1 and 118 1 to the Metal1 and Metal2 layers and thereby increasing the distance between these signal lines and the topmost layer 304 of the floating gate structure 170 in the Metal4 layer, parasitic capacitances in the ISFET may be at least partially mitigated. It should be appreciated that this general concept (e.g., including one or more intervening metal layers between signal lines and topmost layer of the floating gate structure) may be implemented in other fabrication processes involving greater numbers of metal layers. For example, distance between pixel signal lines and the topmost metal layer may be increased by adding additional metal layers (more than four total metal layers) in which only jumpers to the topmost metal layer are formed in the additional metal layers. In particular, a six-metal-layer fabrication process may be employed, in which the signal lines are fabricated using the Metal1 and Metal2 layers, the topmost metal layer of the floating gate structure is formed in the Metal6 layer, and jumpers to the topmost metal layer are formed in the Metal3, Metal4 and Metal5 layers, respectively (with associated vias between the metal layers). In another exemplary implementation based on a six-metal-layer fabrication process, the general pixel configuration shown in FIGS. 10, 11A, and 12A-12L may be employed (signal lines on Metal2 and Metal 3 layers), in which the topmost metal layer is formed in the Metal6 layer and jumpers are formed in the Metal4 and Metal5 layers, respectively.
  • In yet another aspect relating to reduced capacitance, a dimension “f” of the topmost metal layer 304 (and thus the ISFET sensitive area 178) may be reduced so as to reduce cross-capacitance between neighboring pixels. As may be observed in FIG. 11A-1 (and as discussed further below in connection with other embodiments directed to well fabrication above an ISFET array), the well 725 may be fabricated so as to have a tapered shape, such that a dimension “g” at the top of the well is smaller than the pixel pitch “e” but yet larger than a dimension “f” at the bottom of the well. Based on such tapering, the topmost metal layer 304 also may be designed with the dimension “f” rather than the dimension “g” so as to provide for additional space between the top metal layers of neighboring pixels. In some illustrative non-limiting implementations, for pixels having a dimension “e” on the order of 9 micrometers the dimension “f” may be on the order of 6 micrometers (as opposed to 7 micrometers, as discussed above), and for pixels having a dimension “e” on the order of 5 micrometers the dimension “f” may be on the order of 3.5 micrometers.
  • Thus, the pixel chip layout designs respectively shown in FIGS. 10, 11A, and 12A through 12L, and FIGS. 10-1, 11A-1, and 12-1A through 12-1L, illustrate that according to various embodiments FET devices of a same type may be employed for all components of a pixel, and that all components may be implemented in a single well. This dramatically reduces the area required for the pixel, thereby facilitating increased pixel density in a given area.
  • In one exemplary implementation, the gate oxide 165 for the ISFET may be fabricated to have a thickness on the order of approximately 75 Angstroms, giving rise to a gate oxide capacitance per unit area Cox of 4.5 fF/μm2. Additionally, the polysilicon gate 164 may be fabricated with dimensions corresponding to a channel width W of 1.2 μm and a channel length L of from 0.35 to 0.6 μm (i.e., W/L ranging from approximately 2 to 3.5), and the doping of the region 160 may be selected such that the carrier mobility for the p-channel is 190 cm2/V·s (i.e., 1.9E10 μm2/V·s). From Eq. (2) above, this results in an ISFET transconductance parameter β on the order of approximately 170 to 300 μA/V2. In other aspects of this exemplary implementation, the analog supply voltage VDDA is 3.3 Volts, and VB1 and VB2 are biased so as to provide a constant ISFET drain current IDj on the order of 5 μA (in some implementations, VB1 and VB2 may be adjusted to provide drain currents from approximately 1 μA to 20 μA). Additionally, the MOSFET Q6 (see bias/readout circuitry 110 j in FIG. 9) is sized to have a channel width to length ratio (e.g., W/L of approximately 50) such that the voltage across Q6, given IDj of 5 μA, is 800 mV (i.e., VDSj=800 mV). From Eq. (3), based on these exemplary parameters, this provides for pixel output voltages VSj over a range of approximately 0.5 to 2.5 Volts for ISFET threshold voltage changes over a range of approximately 0 to 2 Volts.
  • With respect to the analyte-sensitive passivation layer 172 shown in FIG. 11A, in exemplary CMOS implementations the passivation layer may be significantly sensitive to the concentration of various ion species, including hydrogen, and may include silicon nitride (Si3N4) and/or silicon oxynitride (Si2N2O). In conventional CMOS processes, a passivation layer may be formed by one or more successive depositions of these materials, and is employed generally to treat or coat devices so as to protect against contamination and increase electrical stability. The material properties of silicon nitride and silicon oxynitride are such that a passivation layer comprising these materials provides scratch protection and serves as a significant barrier to the diffusion of water and sodium, which can cause device metallization to corrode and/or device operation to become unstable. A passivation layer including silicon nitride and/or silicon oxynitride also provides ion-sensitivity in ISFET devices, in that the passivation layer contains surface groups that may donate or accept protons from an analyte solution with which they are in contact, thereby altering the surface potential and the device threshold voltage VTH as discussed above in connection with FIGS. 1 and 2A.
  • For CMOS processes involving aluminum as the metal (which has a melting point of approximately 650 degrees Celsius), a silicon nitride and/or silicon oxynitride passivation layer generally is formed via plasma-enhanced chemical vapor deposition (PECVD), in which a glow discharge at 250-350 degrees Celsius ionizes the constituent gases that form silicon nitride or silicon oxynitride, creating active species that react at the wafer surface to form a laminate of the respective materials. In one exemplary process, a passivation layer having a thickness on the order of approximately 1.0 to 1.5 μm may be formed by an initial deposition of a thin layer of silicon oxynitride (on the order of 0.2 to 0.4 μm) followed by a slighting thicker deposition of silicon oxynitride (on the order of 0.5 μm) and a final deposition of silicon nitride (on the order of 0.5 μm). Because of the low deposition temperature involved in the PECVD process, the aluminum metallization is not adversely affected.
  • However, while a low-temperature PECVD process provides adequate passivation for conventional CMOS devices, the low-temperature process results in a generally low-density and somewhat porous passivation layer, which in some cases may adversely affect ISFET threshold voltage stability. In particular, during ISFET device operation, a low-density porous passivation layer over time may absorb and become saturated with ions from the solution, which may in turn cause an undesirable time-varying drift in the ISFETs threshold voltage VTH, making accurate measurements challenging.
  • In view of the foregoing, in one embodiment a CMOS process that uses tungsten metal instead of aluminum may be employed to fabricate ISFET arrays according to the present disclosure. The high melting temperature of Tungsten (above 3400 degrees Celsius) permits the use of a higher temperature low pressure chemical vapor deposition (LPCVD) process (e.g., approximately 700 to 800 degrees Celsius) for a silicon nitride or silicon oxynitride passivation layer. The LPCVD process typically results in significantly more dense and less porous films for the passivation layer, thereby mitigating the potentially adverse effects of ion absorption from the analyte solution leading to ISFET threshold voltage drift.
  • In yet another embodiment in which an aluminum-based CMOS process is employed to fabricate ISFET arrays according to the present disclosure, the passivation layer 172 shown in FIG. 11A may comprise additional depositions and/or materials beyond those typically employed in a conventional CMOS process. For example, the passivation layer 172 may include initial low-temperature plasma-assisted depositions (PECVD) of silicon nitride and/or silicon oxynitride as discussed above; for purposes of the present discussion, these conventional depositions are illustrated in FIG. 11A as a first portion 172A of the passivation layer 172. In one embodiment, following the first portion 172A, one or more additional passivation materials are disposed to form at least a second portion 172B to increase density and reduce porosity of (and absorption by) the overall passivation layer 172. While one additional portion 172B is shown primarily for purposes of illustration in FIG. 11A, it should be appreciated that the disclosure is not limited in this respect, as the overall passivation layer 172 may comprise two or more constituent portions, in which each portion may comprise one or more layers/depositions of same or different materials, and respective portions may be configured similarly or differently. Regardless of the specific materials, the passivation layer(s) provide chemical isolation between the analyte and the circuitry.
  • Examples of materials suitable for the second portion 172B (or other additional portions) of the passivation layer 172 include, but are not limited to, silicon nitride, silicon oxynitride, aluminum oxide (Al2O3), tantalum oxide (Ta3O5), tin oxide (SnO2) and silicon dioxide (SiO2). In one aspect, the second portion 172B (or other additional portions) may be deposited via a variety of relatively low-temperature processes including, but not limited to, RF sputtering, DC magnetron sputtering, thermal or e-beam evaporation, and ion-assisted depositions. In another aspect, a pre-sputtering etch process may be employed, prior to deposition of the second portion 172B, to remove any native oxide residing on the first portion 172A (alternatively, a reducing environment, such as an elevated temperature hydrogen environment, may be employed to remove native oxide residing on the first portion 172A). In yet another aspect, a thickness of the second portion 172B may be on the order of approximately 0.04 μm to 0.06 μm (400 to 600 Angstroms) and a thickness of the first portion may be on the order of 1.0 to 1.5 μm, as discussed above. In some exemplary implementations, the first portion 172A may include multiple layers of silicon oxynitride and silicon nitride having a combined thickness of 1.0 to 1.5 μm, and the second portion 172B may include a single layer of either aluminum oxide or tantalum oxide having a thickness of approximately 400 to 600 Angstroms. Again, it should be appreciated that the foregoing exemplary thicknesses are provided primarily for purposes of illustration, and that the disclosure is not limited in these respects.
  • Thus it is to be understood that the chemFET arrays described herein may be used to detect and/or measure various analytes and, by doing so, may monitor a variety of reactions and/or interactions. It is also to be understood that the discussion herein relating to hydrogen ion detection (in the form of a pH change) is for the sake of convenience and brevity and that static or dynamic levels/concentrations of other analytes (including other ions) can be substituted for hydrogen in these descriptions. In particular, sufficiently fast concentration changes of any one or more of various ion species present in the analyte may be detected via the transient or dynamic response of a chemFET, as discussed above in connection with FIG. 2A. As also discussed above in connection with the Site-Dissociation (or Site-Binding) model for the analyte/passivation layer interface, it should be appreciated that various parameters relating to the equilibrium reactions at the analyte/passivation layer interface (e.g., rate constants for forward and backward equilibrium reactions, total number of proton donor/acceptor sites per unit area on the passivation layer surface, intrinsic buffering capacity, pH at point of zero charge) are material dependent properties and thus are affected by the choice of materials employed for the passivation layer.
  • The chemFETs, including ISFETs, described herein are capable of detecting any analyte that is itself capable of inducing a change in electric field when in contact with or otherwise sensed or detected by the chemFET surface. The analyte need not be charged in order to be detected by the sensor. For example, depending on the embodiment, the analyte may be positively charged (i.e., a cation), negatively charged (i.e., an anion), zwitterionic (i.e., capable of having two equal and opposite charges but being neutral overall), and polar yet neutral. This list is not intended as exhaustive as other analyte classes as well as species within each class will be readily contemplated by those of ordinary skill in the art based on the disclosure provided herein.
  • In the broadest sense of the invention, the passivation layer may or may not be coated and the analyte may or may not interact directly with the passivation layer.
  • Passivation Layer Specificity
  • In some embodiments, the passivation layer and/or the layers and/or molecules coated thereon dictate the analyte specificity of the array readout.
  • Detection of hydrogen ions, and other analytes as determined by the invention, can be carried out using a passivation layer made of silicon nitride (Si3N4), silicon oxynitride (Si2N2O), silicon oxide (SiO2), aluminum oxide (Al2O3), tantalum pentoxide (Ta2O5), tin oxide or stannic oxide (SnO2), and the like.
  • The passivation layer can also detect other ion species directly including but not limited to calcium, potassium, sodium, iodide, magnesium, chloride, lithium, lead, silver, cadmium, nitrate, phosphate, dihydrogen phosphate, and the like.
  • In some embodiments, the passivation layer is coated with a receptor for the analyte of interest. Preferably, the receptor binds selectively to the analyte of interest or in some instances to a class of agents to which the analyte belongs. As used herein, a receptor that binds selectively to an analyte is a molecule that binds preferentially to that analyte (i.e., its binding affinity for that analyte is greater than its binding affinity for any other analyte). Its binding affinity for the analyte of interest may be 2-fold, 3-fold, 4-fold, 5-fold, 6-fold, 7-fold, 8-fold, 9-fold, 10-fold, 15-fold, 20-fold, 25-fold, 30-fold, 40-fold, 50-fold, 100-fold or more than its binding affinity for any other analyte. In addition to its relative binding affinity, the receptor must also have an absolute binding affinity that is sufficiently high to efficiently bind the analyte of interest (i.e., it must have a sufficient sensitivity). Receptors having binding affinities in the picomolar to micromolar range are suitable. Preferably such interactions are reversible.
  • The receptor may be of any nature (e.g., chemical, nucleic acid, peptide, lipid, combinations thereof and the like). In such embodiments, the analyte too may be of any nature provided there exists a receptor that binds to it selectively and in some instances specifically. It is to be understood however that the invention further contemplates detection of analytes in the absence of a receptor. An example of this is the detection of PPi and Pi by the passivation layer in the absence of PPi or Pi receptors.
  • In one aspect, the invention contemplates receptors that are ionophores. As used herein, an ionophore is a molecule that binds selectively to an ionic species, whether anion or cation. In the context of the invention, the ionophore is the receptor and the ion to which it binds is the analyte. Ionophores of the invention include art-recognized carrier ionophores (i.e., small lipid-soluble molecules that bind to a particular ion) derived from microorganisms. Various ionophores are commercially available from sources such as Calbiochem.
  • Detection of some ions can be accomplished through the use of the passivation layer itself or through the use of receptors coated onto the passivation layer. For example, potassium can be detected selectively using polysiloxane, valinomycin, or salinomycin; sodium can be detected selectively using monensin, nystatin, or SQI-Pr; calcium can be detected selectively using ionomycin, calcimycine (A23187), or CA 1001 (ETH 1001).
  • Receptors able to bind more than one ion can also be used in some instances. For example, beauvericin can be used to detect calcium and/or barium ions, nigericin can be used to detect potassium, hydrogen and/or lead ions, and gramicidin can be used to detect hydrogen, sodium and/or potassium ions. One of ordinary skill in the art will recognize that these compounds can be used in applications in which single ion specificity is not required or in which it is unlikely (or impossible) that other ions which the compounds bind will be present or generated. Similarly, receptors that bind multiple species of a particular genus may also be useful in some embodiments including those in which only one species within the genus will be present or in which the method does not require distinction between species.
  • As another example, receptors for neurotoxins are described in Simonian Electroanalysis 2004, 16: 1896-1906.
  • Passivation Layer and PPi Receptors
  • In other embodiments, including but not limited to nucleic acid sequencing applications, receptors that bind selectively to PPi can be used. Examples of PPi receptors include those compounds shown in FIGS. 11B(1)-(3) (compounds 1-10). Compound 1 is described in Angew, Chem Int (Ed 2004) 43:4777-4780 and US 2005/0119497 A1 and is referred to as p-naphthyl-bis[(bis(2-pyridylmethyl)amino)methyl]phenol. Compound 2 is described in J Am Chem Soc 2003 125:7752-7753 and US 2005/0119497 A1 and is referred to as p-(p-nitrophenylazo)-bis[bis(2-pyridylmethyl-1)amino)methyl]phenol (or its dinuclear Zn complex). Synthesis schemes for compounds 1 and 2 are shown provided in US 2005/0119497 A 1. Compound 3 is described in by Lee et al. Organic Letters 2007 9(2):243-246, and Sensors and Actuators B1995 29:324-327. Compound 4 is described in Angew, Chem Int (Ed 2002) 41(20):3811-3814. Exemplary syntheses for compounds 7, 8 and 9 are shown in FIGS. 11C(1)-(3). Compound 5 is described in WO 2007/002204 and is referred to therein as bis-Zn2+-dipicolylamine (Zn2+-DPA). Compound 6 is illustrated in FIG. 11B(3) bound to PPi. (McDonough et al. Chem. Commun. 2006 2971-2973.) Attachment of compound 7 to a metal oxide surface is shown in FIG. 11E.
  • Passivation Layer—Receptor Binding
  • Receptors may be attached to the passivation layer covalently or non-covalently. Covalent attachment of a receptor to the passivation layer may be direct or indirect (e.g., through a linker). FIGS. 11D(1) and (2) illustrate the use of silanol chemistry to covalently bind receptors to the passivation layer. Receptors may be immobilized on the passivation layer using for example aliphatic primary amines (bottom left panel) or aryl isothiocyanates (bottom right panel). In these and other embodiments, the passivation layer which itself may be comprised of silicon nitride, aluminum oxide, silicon oxide, tantalum pentoxide, or the like, is bonded to a silanation layer via its reactive surface groups. For greater detail on silanol chemistry for covalent attachment to the FET surface, reference can be made to at least the following publications: for silicon nitride, see Sensors and Actuators B 1995 29:324-327, Jpn J Appl Phys 1999 38:3912-3917 and Langmuir 2005 21:395-402; for silicon oxide, see Protein Sci 1995 4:2532-2544 and Am Biotechnol Lab 2002 20(7):16-18; and for aluminum oxide, see Colloids and Surfaces 1992 63:1-9, Sensors and Actuators B 2003 89:40-47, and Bioconjugate Chem 1997 8:424-433. The receptor is then conjugated to the silanation layer reactive groups. This latter binding can occur directly or indirectly through the use of a bifunctional linker, as illustrated in FIGS. 11D(1) and (2).
  • A bifunctional linker is a compound having at least two reactive groups to which two entities may be bound. In some instances, the reactive groups are located at opposite ends of the linker. In some embodiments, the bifunctional linker is a universal bifunctional linker such as that shown in FIGS. 11D(1) and (2). A universal linker is a linker that can be used to link a variety of entities. It should be understood that the chemistries shown in FIGS. 11D(1) and (2) are meant to be illustrative and not limiting.
  • The bifunctional linker may be a homo-bifunctional linker or a hetero-bifunctional linker, depending upon the nature of the molecules to be conjugated. Homo-bifunctional linkers have two identical reactive groups. Hetero-bifunctional linkers are have two different reactive groups. Various types of commercially available linkers are reactive with one or more of the following groups: primary amines, secondary amines, sulphydryls, carboxyls, carbonyls and carbohydrates. Examples of amine-specific linkers are bis(sulfosuccinimidyl)suberate, bis[2-(succinimidooxycarbonyloxy)ethyl]sulfone, disuccinimidyl suberate, disuccinimidyl tartarate, dimethyl adipimate.2HCl, dimethyl pimelimidate.2HCl, dimethyl suberimidate.2HCl, and ethylene glycolbis-[succinimidyl-[succinate]]. Linkers reactive with sulfhydryl groups include bismaleimidohexane, 1,4-di-[3′-(2′-pyridyldithio)-propionamido)]butane, 1-[p-azidosalicylamido]-4-[iodoacetamido]butane, and N-[4-(p-azidosalicylamido) butyl]-3′-[2′-pyridyldithio]propionamide. Linkers preferentially reactive with carbohydrates include azidobenzoyl hydrazine. Linkers preferentially reactive with carboxyl groups include 4-[p-azidosalicylamido]butylamine.
  • Heterobifunctional linkers that react with amines and sulfhydryls include N-succinimidyl-3-[2-pyridyldithio]propionate, succinimidyl[4-iodoacetyl]aminobenzoate, succinimidyl 4-[N-maleimidomethyl]cyclohexane-1-carboxylate, m-maleimidobenzoyl-N-hydroxysuccinimide ester, sulfosuccinimidyl 6-[3-[2-pyridyldithio]propionamido]hexanoate, and sulfosuccinimidyl 4-[N-maleimidomethyl]cyclohexane-1-carboxylate. Heterobifunctional linkers that react with carboxyl and amine groups include 1-ethyl-3-[3-dimethylaminopropyl]-carbodiimide hydrochloride. Heterobifunctional linkers that react with carbohydrates and sulfhydryls include 4-[N-maleimidomethyl]-cyclohexane-1-carboxylhydrazide.2HCl, 4-(4-N-maleimidophenyl)-butyric acid hydrazide.2HCl, and 3-[2-pyridyldithio]propionyl hydrazide.
  • Alternatively, receptors may be non-covalently coated onto the passivation layer. Non-covalent deposition of the receptor onto the passivation layer may involve the use of a polymer matrix. The polymer may be naturally occurring or non-naturally occurring and may be of any type including but not limited to nucleic acid (e.g., DNA, RNA, PNA, LNA, and the like, or mimics, derivatives, or combinations thereof), amino acid (e.g., peptides, proteins (native or denatured), and the like, or mimics, derivatives, or combinations thereof, lipids, polysaccharides, and functionalized block copolymers. The receptor may be adsorbed onto and/or entrapped within the polymer matrix. The nature of the polymer will depend on the nature of the receptor being used and/or analyte being detected.
  • Alternatively, the receptor may be covalently conjugated or crosslinked to the polymer (e.g., it may be “grafted” onto a functionalized polymer).
  • An example of a suitable peptide polymer is poly-lysine (e.g., poly-L-lysine). Examples of other polymers include block copolymers that comprise polyethylene glycol (PEG), polyamides, polycarbonates, polyalkylenes, polyalkylene glycols, polyalkylene oxides, polyalkylene terepthalates, polyvinyl alcohols, polyvinyl ethers, polyvinyl esters, polyvinyl halides, polyvinylpyrrolidone, polyglycolides, polysiloxanes, polyurethanes, alkyl cellulose, hydroxyalkyl celluloses, cellulose ethers, cellulose esters, nitrocelluloses, polymers of acrylic and methacrylic esters, methyl cellulose, ethyl cellulose, hydroxypropyl cellulose, hydroxypropyl methyl cellulose, hydroxybutyl methyl cellulose, cellulose acetate, cellulose propionate, cellulose acetate butyrate, cellulose acetate phthalate, carboxylethyl cellulose, cellulose triacetate, cellulose sulphate sodium salt, poly(methyl methacrylate), poly(ethyl methacrylate), poly(butylmethacrylate), poly(isobutyl methacrylate), poly(hexylmethacrylate), poly(isodecyl methacrylate), poly(lauryl methacrylate), poly(phenyl methacrylate), poly(methyl acrylate), poly(isopropyl acrylate), poly(isobutyl acrylate), poly(octadecyl acrylate), polyethylene, polypropylene, poly(ethylene glycol), poly(ethylene oxide), poly(ethylene terephthalate), poly(vinyl alcohols), polyvinyl acetate, polyvinyl chloride, polystyrene, polyhyaluronic acids, casein, gelatin, glutin, polyanhydrides, polyacrylic acid, alginate, chitosan, poly(methyl methacrylates), poly(ethyl methacrylates), poly(butylmethacrylate), poly(isobutyl methacrylate), poly(hexylmethacrylate), poly(isodecyl methacrylate), poly(lauryl methacrylate), poly(phenyl methacrylate), poly(methyl acrylate), poly(isopropyl acrylate), poly(isobutyl acrylate), and poly(octadecyl acrylate), poly(lactide-glycolide), copolyoxalates, polycaprolactones, polyesteramides, polyorthoesters, polyhydroxybutyric acid, polyanhydrides, poly(styrene-b-isobutylene-b-styrene) (SIBS) block copolymer, ethylene vinyl acetate, poly(meth)acrylic acid, polymers of lactic acid and glycolic acid, polyanhydrides, poly(ortho)esters, polyurethanes, poly(butic acid), poly(valeric acid), and poly(lactide-cocaprolactone), and natural polymers such as alginate and other polysaccharides including dextran and cellulose, collagen, albumin and other hydrophilic proteins, zein and other prolamines and hydrophobic proteins, copolymers and mixtures thereof, and chemical derivatives thereof including substitutions and/or additions of chemical groups, for example, alkyl, alkylene, hydroxylations, oxidations, and other modifications routinely made by those skilled in the art.
  • Trapped Charge
  • Another issue that relates to ISFET threshold voltage stability and/or predictability involves trapped charge that may accumulate (especially) on metal layers of CMOS-fabricated devices as a result of various processing activities during or following array fabrication (e.g., back-end-of-line processing such as plasma metal etching, wafer cleaning, dicing, packaging, handling, etc.). In particular, with reference to FIG. 11A, trapped charge may in some instances accumulate on one or more of the various conductors 304, 306, 308, 312, 316, 320, 326, 338, and 164 constituting the ISFETs floating gate structure 170. This phenomenon also is referred to in the relevant literature as the “antenna effect.”
  • One opportunity for trapped charge to accumulate includes plasma etching of the topmost metal layer 304. Other opportunities for charge to accumulate on one or more conductors of the floating gate structure or other portions of the FETs includes wafer dicing, during which the abrasive process of a dicing saw cutting through a wafer generates static electricity, and/or various post-processing wafer handling/packaging steps, such as die-to-package wire bonding, where in some cases automated machinery that handles/transports wafers may be sources of electrostatic discharge (ESD) to conductors of the floating gate structure. If there is no connection to the silicon substrate (or other semi-conductor substrate) to provide an electrical path to bleed off such charge accumulation, charge may build up to the point of causing undesirable changes or damage to the gate oxide 165 (e.g., charge injection into the oxide, or low-level oxide breakdown to the underlying substrate). Trapped charge in the gate oxide or at the gate oxide-semiconductor interface in turn can cause undesirable and/or unpredictable variations in ISFET operation and performance, such as fluctuations in threshold voltage.
  • In view of the foregoing, other inventive embodiments of the present disclosure are directed to methods and apparatus for improving ISFET performance by reducing trapped charge or mitigating the antenna effect. In one embodiment, trapped charge may be reduced after a sensor array has been fabricated, while in other embodiments the fabrication process itself may be modified to reduce trapped charge that could be induced by some conventional process steps. In yet other embodiments, both “during fabrication” and “post fabrication” techniques may be employed in combination to reduce trapped charge and thereby improve ISFET performance.
  • With respect to alterations to the fabrication process itself to reduce trapped charge, in one embodiment the thickness of the gate oxide 165 shown in FIG. 11A may be particularly selected so as to facilitate bleeding of accumulated charge to the substrate; in particular, a thinner gate oxide may allow a sufficient amount of built-up charge to pass through the gate oxide to the substrate below without becoming trapped. In another embodiment based on this concept, a pixel may be designed to include an additional “sacrificial” device, i.e., another transistor having a thinner gate oxide than the gate oxide 165 of the ISFET. The floating gate structure of the ISFET may then be coupled to the gate of the sacrificial device such that it serves as a “charge bleed-off transistor.” Of course, it should be appreciated that some trade-offs for including such a sacrificial device include an increase in pixel size and complexity.
  • In another embodiment, the topmost metal layer 304 of the ISFETs floating gate structure 170 shown in FIG. 11A may be capped with a dielectric prior to plasma etching to mitigate trapped charge. As discussed above, charge accumulated on the floating gate structure may in some cases be coupled from the plasma being used for metal etching. Typically, a photoresist is applied over the metal to be etched and then patterned based on the desired geometry for the underlying metal. In one exemplary implementation, a capping dielectric layer (e.g., an oxide) may be deposited over the metal to be etched, prior to the application of the photoresist, to provide an additional barrier on the metal surface against charge from the plasma etching process. In one aspect, the capping dielectric layer may remain behind and form a portion of the passivation layer 172.
  • In yet another embodiment, the metal etch process for the topmost metal layer 304 may be modified to include wet chemistry or ion-beam milling rather than plasma etching. For example, the metal layer 304 could be etched using an aqueous chemistry selective to the underlying dielectric (e.g., see website for Transene relating to aluminum, which is hereby incorporated herein by reference). Another alternative approach employs ion-milling rather than plasma etching for the metal layer 304. Ion-milling is commonly used to etch materials that cannot be readily removed using conventional plasma or wet chemistries. The ion-milling process does not employ an oscillating electric field as does a plasma, so that charge build-up does not occur in the metal layer(s). Yet another metal etch alternative involves optimizing the plasma conditions so as to reduce the etch rate (i.e. less power density).
  • In yet another embodiment, architecture changes may be made to the metal layer to facilitate complete electrical isolation during definition of the floating gate. In one aspect, designing the metal stack-up so that the large area ISFET floating gate is not connected to anything during its final definition may require a subsequent metal layer serving as a “jumper” to realize the electrical connection to the floating gate of the transistor. This “jumper” connection scheme prevents charge flow from the large floating gate to the transistor. This method may be implemented as follows (M=metal layer): i) M1 contacting Poly gate electrode; ii) M2 contacting M1; iii) M3 defines floating gate and separately connects to M2 with isolated island; iv) M4 jumper, having very small area being etched over the isolated islands and connections to floating gate M3, connects the M3 floating gate to the M1/M2/M3 stack connected to the Poly gate immediately over the transistor active area; and v) M3 to M4 interlayer dielectric is removed only over the floating gate so as to expose the bare M3 floating gate. In the method outlined immediately above, step v) need not be done, as the ISFET architecture according to some embodiments discussed above leaves the M4 passivation in place over the M4 floating gate. In one aspect, removal may nonetheless improve ISFET performance in other ways (i.e. sensitivity). In any case, the final sensitive passivation layer may be a thin sputter-deposited ion-sensitive metal-oxide layer. It should be appreciated that the over-layer jumpered architecture discussed above may be implemented in the standard CMOS fabrication flow to allow any of the first three metal layers to be used as the floating gates (i.e. M1, M2 or M3).
  • With respect to post-fabrication processes to reduce trapped charge, in one embodiment a “forming gas anneal” may be employed as a post-fabrication process to mitigate potentially adverse effects of trapped charge. In a forming gas anneal, CMOS-fabricated ISFET devices are heated in a hydrogen and nitrogen gas mixture. The hydrogen gas in the mixture diffuses into the gate oxide 165 and neutralizes certain forms of trapped charges. In one aspect, the forming gas anneal need not necessarily remove all gate oxide damage that may result from trapped charges; rather, in some cases, a partial neutralization of some trapped charge is sufficient to significantly improve ISFET performance. In exemplary annealing processes according to the present disclosure, ISFETs may be heated for approximately 30 to 60 minutes at approximately 400 to 425 degrees Celsius in a hydrogen/nitrogen mixture that includes 10% to 15% hydrogen. In one particular implementation, annealing at 425 degrees Celsius at 30 minutes in a hydrogen/nitrogen mixture that includes 10% hydrogen is observed to be particularly effective at improving ISFET performance. For aluminum CMOS processes, the temperature of the anneal should be kept at or below 450 degrees Celsius to avoid damaging the aluminum metallurgy. In another aspect of an annealing process according to the present disclosure, the forming gas anneal is performed after wafers of fabricated ISFET arrays are diced, so as to ensure that damage due to trapped charge induced by the dicing process itself, and/or other pre-dicing processing steps (e.g., plasma etching of metals) may be effectively ameliorated. In yet another aspect, the forming gas anneal may be performed after die-to-package wirebonding to similarly ameliorate damage due to trapped charge. At this point in the assembly process, a diced array chip is typically in a heat and chemical resistant ceramic package, and low-tolerance wirebonding procedures as well as heat-resistant die-to-package adhesives may be employed to withstand the annealing procedure. Thus, in one exemplary embodiment, the invention encompasses a method for manufacturing an array of FETs, each having or coupled to a floating gate having a trapped charge of zero or substantially zero comprising: fabricating a plurality of FETs in a common semiconductor substrate, each of a plurality of which is coupled to a floating gate; applying a forming gas anneal to the semiconductor prior to a dicing step; dicing the semiconductor; and applying a forming gas anneal to the semiconductor after the dicing step. Preferably, the semiconductor substrate comprises at least 100,000 FETs. Preferably, the plurality of FETs are chemFETs. The method may further comprise depositing a passivation layer on the semiconductor, depositing a polymeric, glass, ion-reactively etchable or photodefineable material layer on the passivation layer and etching the polymeric, glass ion-reactively etchable or photodefineable material to form an array of reaction chambers in the glass layer.
  • In yet other processes for mitigating potentially adverse effects of trapped charge according to embodiments of the present disclosure, a variety of “electrostatic discharge (ESD)-sensitive protocols” may be adopted during any of a variety of wafer post-fabrication handling/packaging steps. For example, in one exemplary process, anti-static dicing tape may be employed to hold wafer substrates in place (e.g., during the dicing process). Also, although high-resistivity (e.g., 10 MΩ) deionized water conventionally is employed in connection with cooling of dicing saws, according to one embodiment of the present disclosure less resistive/more conductive water may be employed for this purpose to facilitate charge conduction via the water; for example, deionized water may be treated with carbon dioxide to lower resistivity and improve conduction of charge arising from the dicing process. Furthermore, conductive and grounded die-ejection tools may be used during various wafer dicing/handling/packaging steps, again to provide effective conduction paths for charge generated during any of these steps, and thereby reduce opportunities for charge to accumulate on one or more conductors of the floating gate structure of respective ISFETs of an array.
  • In yet another embodiment involving a post-fabrication process to reduce trapped charge, the gate oxide region of an ISFET may be irradiated with UV radiation. With reference again to FIG. 11A, in one exemplary implementation based on this embodiment, an optional hole or window 302 is included during fabrication of an ISFET array in the top metal layer 304 of each pixel of the array, proximate to the ISFET floating gate structure. This window is intended to allow UV radiation, when generated, to enter the ISFETs gate region; in particular, the various layers of the pixel 105 1, as shown in FIGS. 11 and 12 A-L, are configured such that UV radiation entering the window 302 may impinge in an essentially unobstructed manner upon the area proximate to the polysilicon gate 164 and the gate oxide 165.
  • To facilitate a UV irradiation process to reduce trapped charge, materials other than silicon nitride and silicon oxynitride generally need to be employed in the passivation layer 172 shown in FIG. 11A, as silicon nitride and silicon oxynitride significantly absorb UV radiation. In view of the foregoing, these materials need to be substituted with others that are appreciably transparent to UV radiation, examples of which include, but are not limited to, phososilicate glass (PSG) and boron-doped phososilicate glass (BPSG). PSG and BPSG, however, are not impervious to hydrogen and hydroxyl ions; accordingly, to be employed in a passivation layer of an ISFET designed for pH sensitivity, PSG and BPSG may be used together with an ion-impervious material that is also significantly transparent to UV radiation, such as aluminum oxide (Al2O3), to form the passivation layer. For example, with reference again to FIG. 11A, PSG or BPSG may be employed as a substitute for silicon nitride or silicon oxynitride in the first portion 172A of the passivation layer 172, and a thin layer (e.g., 400 to 600 Angstroms) of aluminum oxide may be employed in the second portion 172B of the passivation layer 172 (e.g., the aluminum oxide may be deposited using a post-CMOS lift-off lithography process).
  • In another aspect of an embodiment involving UV irradiation, each ISFET of a sensor array must be appropriately biased during a UV irradiation process to facilitate reduction of trapped charge. In particular, high energy photons from the UV irradiation, impinging upon the bulk silicon region 160 in which the ISFET conducting channel is formed, create electron-hole pairs which facilitate neutralization of trapped charge in the gate oxide as current flows through the ISFETs conducting channel. To this end, an array controller, discussed further below in connection with FIG. 17, generates appropriate signals for biasing the ISFETs of the array during a UV irradiation process. In particular, with reference again to FIG. 9, each of the signals RowSel1 through RowSeln is generated so as to enable/select (i.e., turn on) all rows of the sensor array at the same time and thereby couple all of the ISFETs of the array to respective controllable current sources 106; in each column. With all pixels of each column simultaneously selected, the current from the current source 106 j of a given column is shared by all pixels of the column. The column amplifiers 107A and 107B are disabled by removing the bias voltage VB4, and at the same time the output of the amplifier 107B, connected to the drain of each ISFET in a given column, is grounded via a switch responsive to a control signal “UV.” Also, the common body voltage VBODY for all ISFETs of the array is coupled to electrical ground (i.e., VBODY=0 Volts) (as discussed above, during normal operation of the array, the body bias voltage VBODY is coupled to the highest voltage potential available to the array, e.g., VDDA). In one exemplary procedure, the bias voltage VB1 for all of the controllable current sources 106 j is set such that each pixel's ISFET conducts approximately 1 μA of current. With the ISFET array thusly biased, the array then is irradiated with a sufficient dose of UV radiation (e.g., from an EPROM eraser generating approximately 20 milliWatts/cm2 of radiation at a distance of approximately one inch from the array for approximately 1 hour). After irradiation, the array may be allowed to rest and stabilize over several hours before use for measurements of chemical properties such as ion concentration.
  • Utilizing at least one of the above-described techniques for reducing trapped charge, we have been able to fabricate FETs floating gates having a trapped charge of zero or substantially zero. Thus, in some embodiments, an aspect of the invention encompasses a floating gate having a surface area of about 4 μm2 to about 50 μm2 having baseline threshold voltage and preferably a trapped charge of zero or substantially zero. Preferably the FETs are chemFETs. The trapped charge should be kept to a level that does not cause appreciable variations from FET to FET across the array, as that would limit the dynamic range of the devices, consistency of measurements, and otherwise adversely affect performance.
  • Array and Chip Design
  • FIG. 13 illustrates a block diagram of an exemplary CMOS IC chip implementation of an ISFET sensor array 100 based on the column and pixel designs discussed above in connection with FIGS. 9-12, according to one embodiment of the present disclosure. In one aspect of this embodiment, the array 100 includes 512 columns 102 1 through 102 512 with corresponding column bias/readout circuitry 110 1 through 110 512 (one for each column, as shown in FIG. 9), wherein each column includes 512 geometrically square pixels 105 1 through 105 512, each having a size of approximately 9 micrometers by 9 micrometers (i.e., the array is 512 columns by 512 rows). In another aspect, the entire array (including pixels together with associated row and column select circuitry and column bias/readout circuitry) may be fabricated on a semiconductor die as an application specific integrated circuit (ASIC) having dimensions of approximately 7 millimeters by 7 millimeters. While an array of 512 by 512 pixels is shown in the embodiment of FIG. 13, it should be appreciated that arrays may be implemented with different numbers of rows and columns and different pixel sizes according to other embodiments, as discussed further below in connection with FIGS. 19-23.
  • Also, as discussed above, it should be appreciated that arrays according to various embodiments of the present invention may be fabricated according to conventional CMOS fabrications techniques, as well as modified CMOS fabrication techniques (e.g., to facilitate realization of various functional aspects of the chemFET arrays discussed herein, such as additional deposition of passivation materials, process steps to mitigate trapped charge, etc.) and other semiconductor fabrication techniques beyond those conventionally employed in CMOS fabrication. Additionally, various lithography techniques may be employed as part of an array fabrication process. For example, in one exemplary implementation, a lithography technique may be employed in which appropriately designed blocks are “stitched” together by overlapping the edges of a step and repeat lithography exposures on a wafer substrate by approximately 0.2 micrometers. In a single exposure, the maximum die size typically is approximately 21 millimeters by 21 millimeters. By selectively exposing different blocks (sides, top & bottoms, core, etc.) very large chips can be defined on a wafer (up to a maximum, in the extreme, of one chip per wafer, commonly referred to as “wafer scale integration”).
  • In one aspect of the array 100 shown in FIG. 13, the first and last two columns 102 1, 102 2, 102 511 and 102 512, as well as the first two pixels 105 1 and 105 2 and the last two pixels 105 511 and 105 512 of each of the columns 102 3 through 102 510 (e.g., two rows and columns of pixels around a perimeter of the array) may be configured as “reference” or “dummy” pixels 103. With reference to FIG. 11A, for the dummy pixels of an array, the topmost metal layer 304 of each dummy pixel's ISFET (coupled ultimately to the ISFETs polysilicon gate 164) is tied to the same metal layer of other dummy pixels and is made accessible as a terminal of the chip, which in turn may be coupled to a reference voltage VREF. As discussed above in connection with FIG. 9, the reference voltage VREF also may be applied to the bias/readout circuitry of respective columns of the array. In some exemplary implementations discussed further below, preliminary test/evaluation data may be acquired from the array based on applying the reference voltage VREF and selecting and reading out dummy pixels, and/or reading out columns based on the direct application of VREF to respective column buffers (e.g., via the CAL signal), to facilitate offset determination (e.g., pixel-to-pixel and column-to-column variances) and array calibration.
  • In yet another implementation of an array similar to that shown in FIG. 13, rather than reserving the first and last two columns of 512 columns and the first and last two pixels of each column of 512 pixels as reference pixels, the array may be fabricated to include an additional two rows/columns of reference pixels surrounding a perimeter of a 512 by 512 region of active pixels, such that the total size of the array in terms of actual pixels is 516 by 516 pixels. As arrays of various sizes and configurations are contemplated by the present disclosure, it should be appreciated that the foregoing concept may be applied to any of the other array embodiments discussed herein. For purposes of the discussion immediately below regarding the exemplary array 100 shown in FIG. 13, a total pixel count for the array of 512 by 512 pixels is considered.
  • In FIG. 13, various power supply and bias voltages required for array operation (as discussed above in connection with FIG. 9) are provided to the array via electrical connections (e.g., pins, metal pads) and labeled for simplicity in block 195 as “supply and bias connections.” The array 100 of FIG. 13 also includes a row select shift register 192, two sets of column select shift registers 194 1,2 and two output drivers 198 1 and 198 2 to provide two parallel array output signals, Vout1 and Vout2, representing sensor measurements (i.e., collections of individual output signals generated by respective ISFETs of the array). The various power supply and bias voltages, control signals for the row and column shift registers, and control signals for the column bias/readout circuitry shown in FIG. 13 are provided by an array controller, as discussed further below in connection with FIG. 17, which also reads the array output signals Vout1 and Vout2 (and other optional status/diagnostic signals) from the array 100. In another aspect of the array embodiment shown in FIG. 13, configuring the array such that multiple regions (e.g., multiple columns) of the array may be read at the same time via multiple parallel array output signals (e.g., Vout1 and Vout2) facilitates increased data acquisition rates, as discussed further below in connection with FIGS. 17 and 18. While FIG. 13 illustrates an array having two column select registers and parallel array output signals Vout1 and Vout2 to acquire data simultaneously from two columns at a time, it should be appreciated that, in other embodiments, arrays according to the present disclosure may be configured to have only one measurement signal output, or more than two measurement signal outputs; in particular, as discussed further below in connection with FIGS. 19-23, more dense arrays according to other inventive embodiments may be configured to have four our more parallel measurement signal outputs and simultaneously enable different regions of the array to provide data via the four or more outputs.
  • FIG. 14 illustrates the row select shift register 192, FIG. 15 illustrates one of the column select shift registers 194 2 and FIG. 16 illustrates one of the output drivers 198 2 of the array 100 shown in FIG. 13, according to one exemplary implementation. As shown in FIGS. 14 and 15, the row and column select shift registers are implemented as a series of D-type flip-flops coupled to a digital circuitry positive supply voltage VDDD and a digital supply ground VSSD. In the row and column shift registers, a data signal is applied to a D-input of first flip-flop in each series and a clock signal is applied simultaneously to a clock input of all of the flip-flops in the series. For each flip-flop, a “Q” output reproduces the state of the D-input upon a transition (e.g., falling edge) of the clock signal. With reference to FIG. 14, the row select shift register 192 includes 512 D-type flip-flops, in which a first flip-flop 193 receives a vertical data signal DV and all flip-flops receive a vertical clock signal CV. A “Q” output of the first flip-flop 193 provides the first row select signal RowSel1 and is coupled to the D-input of the next flip-flop in the series. The Q outputs of successive flip-flops are coupled to the D-inputs of the next flip-flop in the series and provide the row select signals RowSel2 through RowSel512 with successive falling edge transitions of the vertical clock signal CV, as discussed further below in connection with FIG. 18. The last row select signal RowSel512 also may be taken as an optional output of the array 100 as the signal LSTV (Last STage Vertical), which provides an indication (e.g., for diagnostic purposes) that the last row of the array has been selected. While not shown explicitly in FIG. 14, each of the row select signals RowSel1 through RowSel512 is applied to a corresponding inverter, the output of which is used to enable a given pixel in each column (as illustrated in FIG. 9 by the signals RowSel1 through RowSeln ).
  • Regarding the column select shift registers 194 1 and 194 2, these are implemented in a manner similar to that of the row select shift registers, with each column select shift register comprising 256 series-connected flip-flops and responsible for enabling readout from either the odd columns of the array or the even columns of the array. For example, FIG. 15 illustrates the column select shift register 194 2, which is configured to enable readout from all of the even numbered columns of the array in succession via the column select signals ColSel2, ColSel4, . . . . ColSel512, whereas another column select shift register 194 1 is configured to enable readout from all of the odd numbered columns of the array in succession (via column select signals ColSel1, ColSel3, . . . . Col Sel511). Both column select shift registers are controlled simultaneously by the horizontal data signal DH and the horizontal clock signal CH to provide the respective column select signals, as discussed further below in connection with FIG. 18. As shown in FIG. 15, the last column select signal ColSel512 also may be taken as an optional output of the array 100 as the signal LSTH (Last STage Horizontal), which provides an indication (e.g., for diagnostic purposes) that the last column of the array has been selected.
  • With reference again for the moment to FIG. 7, an implementation for array row and column selection based on shift registers, as discussed above in connection with FIGS. 13-15, is a significant improvement to the row and column decoder approach employed in various prior art ISFET array designs, including the design of Milgrew et al. shown in FIG. 7. In particular, regarding the row decoder 92 and the column decoder 94 shown in FIG. 7, the complexity of implementing these components in an integrated circuit array design increases dramatically as the size of the array is increased, as additional inputs to both decoders are required. For example, an array having 512 rows and columns as discussed above in connection with FIG. 13 would require nine inputs (29=512) per row and column decoder if such a scheme were employed for row and column selection; similarly, arrays having 7400 rows and 7400 columns, as discussed below in connection with other embodiments, would require 13 inputs (213=8192) per row and column decoder. In contrast, the row and column select shift registers shown in FIGS. 14 and 15 require no additional input signals as array size is increased, but rather additional D-type flip-flops (which are routinely implemented in a CMOS process). Thus, the shift register implementations shown in FIGS. 14 and 15 provide an easily scalable solution to array row and column selection.
  • In the embodiment of FIG. 13, the “odd” column select shift register 194 1 provides odd column select signals to an “odd” output driver 198 1 and the even column select shift register 194 2 provides even column select signals to an “even” output driver 198 2. Both output drivers are configured similarly, and an example of the even output driver 198 2 is shown in FIG. 16. In particular, FIG. 16 shows that respective even column output signals VCOL2, VCOL4, . . . VCOL512 (refer to FIG. 9 for the generic column signal output VCOLj) are applied to corresponding switches 191 2, 191 4, . . . 191 512, responsive to the even column select signals ColSel2, ColSel4, . . . . ColSel512 provided by the column select register 194 2, to successively couple the even column output signals to the input of a buffer amplifier 199 (BUF) via a bus 175. In FIG. 16, the buffer amplifier 199 receives power from an output buffer positive supply voltage VDDO and an output buffer supply ground VSSO, and is responsive to an output buffer bias voltage VBO0 to set a corresponding bias current for the buffer output. Given the high impedance input of the buffer amplifier 199, a current sink 197 responsive to a bias voltage. VB3 is coupled to the bus 175 to provide an appropriate drive current (e.g., on the order of approximately 100 μA) for the output of the column output buffer (see the buffer amplifier 111 j of FIG. 9) of a selected column. The buffer amplifier 199 provides the output signal Vout2 based on the selected even column of the array; at the same time, with reference to FIG. 13, a corresponding buffer amplifier of the “odd” output driver 198 1 provides the output signal Vout1 based on a selected odd column of the array.
  • In one exemplary implementation, the switches of both the even and odd output drivers 198 1 and 198 2 (e.g., the switches 191 2, 191 4, . . . 191 512 shown in FIG. 16) may be implemented as CMOS-pair transmission gates (including an n-channel MOSFET and a p-channel MOSFET; see FIG. 4), and inverters may be employed so that each column select signal and its complement may be applied to a given transmission gate switch 191 to enable switching. Each switch 191 has a series resistance when enabled or “on” to couple a corresponding column output signal to the bus 175; likewise, each switch adds a capacitance to the bus 175 when the switch is off. A larger switch reduces series resistance and allows a higher drive current for the bus 175, which generally allows the bus 175 to settle more quickly; on the other hand, a larger switch increases capacitance of the bus 175 when the switch is off, which in turn increases the settling time of the bus 175. Hence, there is a trade-off between switch series resistance and capacitance in connection with switch size.
  • The ability of the bus 175 to settle quickly following enabling of successive switches in turn facilitates rapid data acquisition from the array. To this end, in some embodiments the switches 191 of the output drivers 198 1 and 198 2 are particularly configured to significantly reduce the settling time of the bus 175. Both the n-channel and the p-channel MOSFETs of a given switch add to the capacitance of the bus 175; however, n-channel MOSFETs generally have better frequency response and current drive capabilities than their p-channel counterparts. In view of the foregoing, some of the superior characteristics of n-channel MOSFETs may be exploited to improve settling time of the bus 175 by implementing “asymmetric” switches in which respective sizes for the n-channel MOSFET and p-channel MOSFET of a given switch are different.
  • For example, in one embodiment, with reference to FIG. 16, the current sink 197 may be configured such that the bus 175 is normally “pulled down” when all switches 191 2, 191 4, . . . 191 512 are open or off (not conducting). Given a somewhat limited expected signal dynamic range for the column output signals based on ISFET measurements, when a given switch is enabled or on (conducting), in many instances most of the conduction is done by the n-channel MOSFET of the CMOS-pair constituting the switch. Accordingly, in one aspect of this embodiment, the n-channel MOSFET and the p-channel MOSFET of each switch 191 are sized differently; namely, in one exemplary implementation, the n-channel MOSFET is sized to be significantly larger than the p-channel MOSFET. More specifically, considering equally-sized n-channel and p-channel MOSFETs as a point of reference, in one implementation the n-channel MOSFET may be increased to be about 2 to 2.5 times larger, and the p-channel MOSFET may be decreased in size to be about 8 to 10 times smaller, such that the n-channel MOSFET is approximately 20 times larger than the p-channel MOSFET. Due to the significant decrease in size of the p-channel MOSFET and the relatively modest increase in size of the n-channel MOSFET, the overall capacitance of the switch in the off state is notably reduced, and there is a corresponding notable reduction in capacitance for the bus 175; at the same time, due to the larger n-channel MOSFET, there is a significant increase in current drive capability, frequency response and transconductance of the switch, which in turn results in a significant reduction in settling time of the bus 175.
  • While the example above describes asymmetric switches 191 for the output drivers 198 1 and 198 2 in which the n-channel MOSFET is larger than the p-channel MOSFET, it should be appreciated that in another embodiment, the converse may be implemented, namely, asymmetric switches in which the p-channel MOSFET is larger than the n-channel MOSFET. In one aspect of this embodiment, with reference again to FIG. 16, the current sink 197 may alternatively serve as a source of current to appropriately drive the output of the column output buffer (see the buffer amplifier 111 j of FIG. 9) of a selected column, and be configured such that the bus 175 is normally “pulled up” when all switches 191 2, 191 4, . . . 191 512 are open or off (not conducting). In this situation, most of the switch conduction may be accomplished by the p-channel MOSFET of the CMOS-pair constituting the switch. Benefits of reduced switch capacitance (and hence reduced bus capacitance) may be realized in this embodiment, although the overall beneficial effect of reduced settling time for the bus 175 may be somewhat less than that described previously above, due to the lower frequency response of p-channel MOSFETs as compared to n-channel MOSFETs. Nevertheless, asymmetric switches based on larger p-channel MOSFETs may still facilitate a notable reduction in bus settling time, and may also provide for circuit implementations in which the column output buffer amplifier (111 j of FIG. 9) may be a body-tied source follower with appreciably increased gain.
  • In yet another embodiment directed to facilitating rapid settling of the bus 175 shown in FIG. 16, it may be appreciated that fewer switches 191 coupled to the bus 175 results in a smaller bus capacitance. With this in mind, and with reference again to FIG. 13, in yet another embodiment, more than two output drivers 198 1 and 198 2 may be employed in the ISFET array 100 such that each output driver handles a smaller number of columns of the array. For example, rather than having all even columns handled by one driver and all odd columns handled by another driver, the array may include four column select registers 194 1,2,3,4 and four corresponding output drivers 198 1,2,3,4 such that each output driver handles one-fourth of the total columns of the array, rather than one-half of the columns. In such an implementation, each output driver would accordingly have half the number of switches 191 as compared with the embodiment discussed above in connection with FIG. 16, and the bus 175 of each output driver would have a corresponding lower capacitance, thereby improving bus settling time. While four output drivers are discussed for purposes of illustration in this example, it should be appreciated that the present disclosure is not limited in this respect, and virtually any number of output drivers greater than two may be employed to improve bus settling time in the scenario described above. Other array embodiments in which more than two output drivers are employed to facilitate rapid data acquisition from the array are discussed in greater detail below (e.g., in connection with FIGS. 19-23).
  • For purposes of illustration, the bus 175 may have a capacitance in the range of approximately 5 pF to 20 pF in any of the embodiments discussed immediately above (e.g. symmetric switches, asymmetric switches, greater numbers of output drivers, etc.). Of course, it should be appreciated that the capacitance of the bus 175 is not limited to these exemplary values, and that other capacitance values are possible in different implementations of an array according to the present disclosure.
  • In one aspect of the array design discussed above in connection with FIGS. 13-16, separate analog supply voltage connections (for VDDA, VSSA), digital supply voltage connections (for VDDD, VSSD) and output buffer supply voltage connections (for VDDO, VSSO) are provided on the array to facilitate noise isolation and reduce signal cross-talk amongst various array components, thereby increasing the signal-to-noise ratio (SNR) of the output signals Vout1 and Vout2. In one exemplary implementation, the positive supply voltages VDDA, VDDD and VDDO each may be approximately 3.3 Volts. In another aspect, these voltages respectively may be provided “off chip” by one or more programmable voltage sources, as discussed further below in connection with FIG. 17.
  • FIG. 17 illustrates a block diagram of the sensor array 100 of FIG. 13 coupled to an array controller 250, according to one inventive embodiment of the present disclosure. In various exemplary implementations, the array controller 250 may be fabricated as a “stand alone” controller, or as one or more computer compatible “cards” forming part of a computer 260, as discussed above in connection with FIG. 8. In one aspect, the functions of the array controller 250 may be controlled by the computer 260 through an interface block 252 (e.g., serial interface, via USB port or PCI bus, Ethernet connection, etc.), as shown in FIG. 17. In one embodiment, all or a portion of the array controller 250 is fabricated as one or more printed circuit boards, and the array 100 is configured to plug into one of the printed circuit boards, similar to a conventional IC chip (e.g., the array 100 is configured as an ASIC that plugs into a chip socket, such as a zero-insertion-force or “ZIF” socket, of a printed circuit board). In one aspect of such an embodiment, an array 100 configured as an ASIC may include one or more pins/terminal connections dedicated to providing an identification code, indicated as “ID” in FIG. 17, that may be accessed/read by the array controller 250 and/or passed on to the computer 260. Such an identification code may represent various attributes of the array 100 (e.g., size, number of pixels, number of output signals, various operating parameters such as supply and/or bias voltages, etc.) and may be processed to determine corresponding operating modes, parameters and or signals provided by the array controller 250 to ensure appropriate operation with any of a number of different types of arrays 100. In one exemplary implementation, an array 100 configured as an ASIC may be provided with three pins dedicated to an identification code, and during the manufacturing process the ASIC may be encoded to provide one of three possible voltage states at each of these three pins (i.e., a tri-state pin coding scheme) to be read by the array controller 250, thereby providing for 27 unique array identification codes. In another aspect of this embodiment, all or portions of the array controller 250 may be implemented as a field programmable gate array (FPGA) configured to perform various array controller functions described in further detail below.
  • Generally, the array controller 250 provides various supply voltages and bias voltages to the array 100, as well as various signals relating to row and column selection, sampling of pixel outputs and data acquisition. In particular, the array controller 250 reads one or more analog output signals (e.g., Vout1 and Vout2) including multiplexed respective pixel voltage signals from the array 100 and then digitizes these respective pixel signals to provide measurement data to the computer 260, which in turn may store and/or process the data. In some implementations, the array controller 250 also may be configured to perform or facilitate various array calibration and diagnostic functions, and an optional array UV irradiation treatment as discussed above in connection with FIG. 11A.
  • As illustrated in FIG. 17, the array controller 250 generally provides to the array 100 the analog supply voltage and ground (VDDA, VSSA), the digital supply voltage and ground (VDDD, VSSD), and the buffer output supply voltage and ground (VDDO, VSSO). In one exemplary implementation, each of the supply voltages VDDA, VDDD and VDDO is approximately 3.3 Volts. In another implementation, the supply voltages VDDA, VDDD and VDDO may be as low as approximately 1.8 Volts. As discussed above, in one aspect each of these power supply voltages is provided to the array 100 via separate conducting paths to facilitate noise isolation. In another aspect, these supply voltages may originate from respective power supplies/regulators, or one or more of these supply voltages may originate from a common source in a power supply 258 of the array controller 250. The power supply 258 also may provide the various bias voltages required for array operation (e.g., VB1, VB2, VB3, VB4, VBO0, VBODY) and the reference voltage VREF used for array diagnostics and calibration.
  • In another aspect, the power supply 258 includes one or more digital-to-analog converters (DACs) that may be controlled by the computer 260 to allow any or all of the bias voltages, reference voltage, and supply voltages to be changed under software control (i.e., programmable bias settings). For example, a power supply 258 responsive to computer control (e.g., via software execution) may facilitate adjustment of one or more of the supply voltages (e.g., switching between 3.3 Volts and 1.8 Volts depending on chip type as represented by an identification code), and or adjustment of one or more of the bias voltages VB1 and VB2 for pixel drain current, VB3 for column bus drive, VB4 for column amplifier bandwidth, and VBO0 for column output buffer current drive. In some aspects, one or more bias voltages may be adjusted to optimize settling times of signals from enabled pixels. Additionally, the common body voltage VBODY for all ISFETs of the array may be grounded during an optional post-fabrication UV irradiation treatment to reduce trapped charge, and then coupled to a higher voltage (e.g., VDDA) during diagnostic analysis, calibration, and normal operation of the array for measurement/data acquisition. Likewise, the reference voltage VREF may be varied to facilitate a variety of diagnostic and calibration functions.
  • As also shown in FIG. 17, the reference electrode 76 which is typically employed in connection with an analyte solution to be measured by the array 100 (as discussed above in connection with FIG. 1), may be coupled to the power supply 258 to provide a reference potential for the pixel output voltages. For example, in one implementation the reference electrode 76 may be coupled to a supply ground (e.g., the analog ground VSSA) to provide a reference for the pixel output voltages based on Eq. (3) above. In other exemplary implementations, the reference electrode voltage may be set by placing a solution/sample of interest having a known pH level in proximity to the sensor array 100 and adjusting the reference electrode voltage until the array output signals Vout1 and Vout2 provide pixel voltages at a desired reference level, from which subsequent changes in pixel voltages reflect local changes in pH with respect to the known reference pH level. In general, it should be appreciated that a voltage associated with the reference electrode 76 need not necessarily be identical to the reference voltage VREF discussed above (which may be employed for a variety of array diagnostic and calibration functions), although in some implementations the reference voltage VREF provided by the power supply 258 may be used to set the voltage of the reference electrode 76.
  • Regarding data acquisition from the array 100, in one embodiment the array controller 250 of FIG. 17 may include one or more preamplifiers 253 to further buffer one or more output signals (e.g., Vout1 and Vout2) from the sensor array and provide selectable gain. In one aspect, the array controller 250 may include one preamplifier for each output signal (e.g., two preamplifiers for two analog output signals). In other aspects, the preamplifiers may be configured to accept input voltages from 0.0 to 1.8 Volts or 0.0 to 3.3 Volts, may have programmable/computer selectable gains (e.g., 1, 2, 5, 10 and 20) and low noise outputs (e.g., <10 nV/sqrtHz), and may provide low pass filtering (e.g., bandwidths of 5 MHz and 25 MHz). With respect to noise reduction and increasing signal-to-noise ratio, in one implementation in which the array 100 is configured as an ASIC placed in a chip socket of a printed circuit board containing all or a portion of the array controller 250, filtering capacitors may be employed in proximity to the chip socket (e.g., the underside of a ZIF socket) to facilitate noise reduction. In yet another aspect, the preamplifiers may have a programmable/computer selectable offset for input and/or output voltage signals to set a nominal level for either to a desired range.
  • The array controller 250 of FIG. 17 also comprises one or more analog-to-digital converters 254 (ADCs) to convert the sensor array output signals Vout1 and Vout2 to digital outputs (e.g., 10-bit or 12-bit) so as to provide data to the computer 260. In one aspect, one ADC may be employed for each analog output of the sensor array, and each ADC may be coupled to the output of a corresponding preamplifier (if preamplifiers are employed in a given implementation). In another aspect, the ADC(s) may have a computer-selectable input range (e.g., 50 mV, 200 mV, 500 mV, 1V) to facilitate compatibility with different ranges of array output signals and/or preamplifier parameters. In yet other aspects, the bandwidth of the ADC(s) may be greater than 60 MHz, and the data acquisition/conversion rate greater than 25 MHz (e.g., as high as 100 MHz or greater).
  • In the embodiment of FIG. 17, ADC acquisition timing and array row and column selection may be controlled by a timing generator 256. In particular, the timing generator provides the digital vertical data and clock signals (DV, CV) to control row selection, the digital horizontal data and clock signals (DH, CH) to control column selection, and the column sample and hold signal COL SH to sample respective pixel voltages for an enabled row, as discussed above in connection with FIG. 9. The timing generator 256 also provides a sampling clock signal CS to the ADC(s) 254 so as to appropriately sample and digitize consecutive pixel values in the data stream of a given array analog output signal (e.g., Vout1 and Vout2), as discussed further below in connection with FIG. 18. In some implementations, the timing generator 256 may be implemented by a microprocessor executing code and configured as a multi-channel digital pattern generator to provide appropriately timed control signals. In one exemplary implementation, the timing generator 256 may be implemented as a field-programmable gate array (FPGA).
  • FIG. 18 illustrates an exemplary timing diagram for various array control signals, as provided by the timing generator 256, to acquire pixel data from the sensor array 100. For purposes of the following discussion, a “frame” is defined as a data set that includes a value (e.g., pixel output signal or voltage VS) for each pixel in the array, and a “frame rate” is defined as the rate at which successive frames may be acquired from the array. Thus, the frame rate corresponds essentially to a “pixel sampling rate” for each pixel of the array, as data from any given pixel is obtained at the frame rate.
  • In the example of FIG. 18, an exemplary frame rate of 20 frames/sec is chosen to illustrate operation of the array (i.e., row and column selection and signal acquisition); however, it should be appreciated that arrays and array controllers according to the present disclosure are not limited in this respect, as different frame rates, including lower frame rates (e.g., 1 to 10 frames/second) or higher frame rates (e.g., 25, 30, 40, 50, 60, 70 to 100 frames/sec., etc.), with arrays having the same or higher numbers of pixels, are possible. In some exemplary applications, a data set may be acquired that includes many frames over several seconds to conduct an experiment on a given analyte or analytes. Several such experiments may be performed in succession, in some cases with pauses in between to allow for data transfer/processing and/or washing of the sensor array ASIC and reagent preparation for a subsequent experiment.
  • For example, with respect to the method for detecting nucleotide incorporation, appropriate frame rates may be chosen to sufficiently sample the ISFET's output signal. In some exemplary implementations, a hydrogen ion signal may have a full-width at half-maximum (FWHM) on the order of approximately 1 second to approximately 2.5 seconds, depending on the number of nucleotide incorporation events. Given these exemplary values, a frame rate (or pixel sampling rate) of 20 Hz is sufficient to reliably resolve the signals in a given pixel's output signal. Again, the frame rates given in this example are provided primarily for purposes of illustration, and different frame rates may be involved in other implementations.
  • In one implementation, the array controller 250 controls the array 100 to enable rows successively, one at a time. For example, with reference again for the moment to FIG. 9, a first row of pixels is enabled via the row select signal RowSel1 . The enabled pixels are allowed to settle for some time period, after which the COL SH signal is asserted briefly to close the sample/hold switch in each column and store on the column's sample/hold capacitor Csh the voltage value output by the first pixel in the column. This voltage is then available as the column output voltage VCOLj applied to one of the two (odd and even column) array output drivers 198 1 and 198 2 (e.g., see FIG. 16). The COL SH signal is then de-asserted, thereby opening the sample/hold switches in each column and decoupling the column output buffer 111 j from the column amplifiers 107A and 107B. Shortly thereafter, the second row of pixels is enabled via the row select signal RowSel2. During the time period in which the second row of pixels is allowed to settle, the column select signals are generated two at a time (one odd and one even; odd column select signals are applied in succession to the odd output driver, even column select signals are applied in succession to the even output driver) to read the column output voltages associated with the first row. Thus, while a given row in the array is enabled and settling, the previous row is being read out, two columns at a time. By staggering row selection and sampling/readout (e.g., via different vertical and horizontal clock signals and column sample/hold), and by reading multiple columns at a time for a given row, a frame of data may be acquired from the array in a significantly streamlined manner.
  • FIG. 18 illustrates the timing details of the foregoing process for an exemplary frame rate of 20 frames/sec. Given this frame rate and 512 rows in the array, each row must be read out in approximately 98 microseconds, as indicated by the vertical delineations in FIG. 18. Accordingly, the vertical clock signal CV has a period of 98 microseconds (i.e., a clock frequency of over 10 kHz), with a new row being enabled on a trailing edge (negative transition) of the CV signal. The left side of FIG. 18 reflects the beginning of a new frame cycle, at which point the vertical data signal DV is asserted before a first trailing edge of the CV signal and de-asserted before the next trailing edge of the CV signal (for data acquisition from successive frames, the vertical data signal is reasserted again only after row 512 is enabled). Also, immediately before each trailing edge of the CV signal (i.e., new row enabled), the COL SH signal is asserted for 2 microseconds, leaving approximately 50 nanoseconds before the trailing edge of the CV signal.
  • In FIG. 18, the first occurrence of the COL SH signal is actually sampling the pixel values of row 512 of the array. Thus, upon the first trailing edge of the CV signal, the first row is enabled and allowed to settle (for approximately 96 microseconds) until the second occurrence of the COL SH signal. During this settling time for the first row, the pixel values of row 512 are read out via the column select signals. Because two column select signals are generated simultaneously to read 512 columns, the horizontal clock signal CH must generate 256 cycles within this period, each trailing edge of the CH signal generating one odd and one even column select signal. As shown in FIG. 18, the first trailing edge of the CH signal in a given row is timed to occur two microseconds after the selection of the row (after deactivation of the COL SH signal) to allow for settling of the voltage values stored on the sample/hold capacitors Csh and provided by the column output buffers. It should be appreciated however that, in other implementations (e.g., as discussed below in connection with FIG. 18A), the time period between the first trailing edge of the CH signal and a trailing edge (i.e., deactivation) of the COL SH signal may be significantly less than two microseconds, and in some cases as small as just over 50 nanoseconds. Also for each row, the horizontal data signal DH is asserted before the first trailing edge of the CH signal and de-asserted before the next trailing edge of the CH signal. The last two columns (e.g., 511 and 512) are selected before the occurrence of the COL SH signal which, as discussed above, occurs approximately two microseconds before the next row is enabled. Thus, 512 columns are read, two at a time, within a time period of approximately 94 microseconds (i.e., 98 microseconds per row, minus two microseconds at the beginning and end of each row). This results in a data rate for each of the array output signals Vout1 and Vout2 of approximately 2.7 MHz.
  • FIG. 18A illustrates another timing diagram of a data acquisition process from an array 100 that is slightly modified from the timing diagram of FIG. 18. As discussed above in connection with FIG. 13, in some implementations an array similar to that shown in FIG. 13 may be configured to include a region of 512 by 512 “active” pixels that are surrounded by a perimeter of reference pixels (i.e., the first and last two rows and columns of the array), resulting in an array having a total pixel count of 516 by 516 pixels. Accordingly, given the exemplary frame rate of 20 frames/sec and 516 rows in the array, each row must be read out in approximately 97 microseconds, as indicated by the vertical delineations in FIG. 18A. Accordingly, the vertical clock signal CV has a slightly smaller period of 97 microseconds. Because two column select signals are generated simultaneously to read 516 columns, the horizontal clock signal CH must generate 258 cycles within this period, as opposed to the 256 cycles referenced in connection with FIG. 18. Accordingly, in one aspect illustrated in FIG. 18A, the first trailing edge of the CH signal in a given row is timed to occur just over 50 nanoseconds from the trailing edge (i.e., deactivation) of the COL SH signal, so as to “squeeze” additional horizontal clock cycles into a slightly smaller period of the vertical clock signal CV. As in FIG. 18, the horizontal data signal DH is asserted before the first trailing edge of the CH signal, and as such also occurs slightly earlier in the timing diagram of FIG. 18A as compared to FIG. 18. The last two columns (i.e., columns 515 and 516, labeled as “Ref3,4 in FIG. 18A) are selected before the occurrence of the COL SH signal which, as discussed above, occurs approximately two microseconds before the next row is enabled. Thus, 516 columns are read, two at a time, within a time period of approximately 95 microseconds (i.e., 97 microseconds per row, minus two microseconds at the end of each row and negligible time at the beginning of each row). This results in essentially the same data rate for each of the array output signals Vout1 and Vout2 provided by the timing diagram of FIG. 18, namely, approximately 2.7 MHz.
  • As discussed above in connection with FIG. 17, the timing generator 256 also generates the sampling clock signal CS to the ADC(s) 254 so as to appropriately sample and digitize consecutive pixel values in the data stream of a given array output signal. In one aspect, the sampling clock signal CS provides for sampling a given pixel value in the data stream at least once. Although the sampling clock signal CS is not shown in the timing diagrams of FIGS. 18 and 18A, it may be appreciated that in exemplary implementations the signal CS may essentially track the timing of the horizontal clock signal CH; in particular, the sampling clock signal CS may be coordinated with the horizontal clock signal CH so as to cause the ADC(s) to sample a pixel value immediately prior to a next pixel value in the data stream being enabled by CH, thereby allowing for as much signal settling time as possible prior to sampling a given pixel value. For example, the ADC(s) may be configured to sample an input pixel value upon a positive transition of CS, and respective positive transitions of CS may be timed by the timing generator 256 to occur immediately prior to, or in some cases essentially coincident with, respective negative transitions of CH, so as to sample a given pixel just prior to the next pixel in the data stream being enabled. In another exemplary implementation, the ADC(s) 254 may be controlled by the timing generator 256 via the sampling clock signal CS to sample the output signals Vout1 and Vout2 at a significantly higher rate to provide multiple digitized samples for each pixel measurement, which may then be averaged (e.g., the ADC data acquisition rate may be approximately 100 MHz to sample the 2.7 MHz array output signals, thereby providing as many as approximately 35-40 samples per pixel measurement).
  • In one embodiment, once pixel values are sampled and digitized by the ADC(s) 254, the computer 260 may be programmed to process pixel data obtained from the array 100 and the array controller 250 so as to facilitate high data acquisition rates that in some cases may exceed a sufficient settling time for pixel voltages represented in a given array output signal. A flow chart illustrating an exemplary method according to one embodiment of the present invention that may be implemented by the computer 260 for processing and correction of array data acquired at high acquisition rates is illustrated in FIG. 18B. In various aspects of this embodiment, the computer 260 is programmed to first characterize a sufficient settling time for pixel voltages in a given array output signal, as well as array response at appreciably high operating frequencies, using a reference or “dry” input to the array (e.g., no analyte present). This characterization forms the basis for deriving correction factors that are subsequently applied to data obtained from the array at the high operating frequencies and in the presence of an analyte to be measured.
  • Regarding pixel settling time, with reference again to FIG. 16, as discussed above a given array output signal (e.g., Vout2 in FIG. 16) includes a series of pixel voltage values resulting from the sequential operation of the column select switches 191 to apply respective column voltages VCOLj via the bus 175 to the buffer amplifier 199 (the respective column voltages VCOLj in turn represent buffered versions of ISFET source voltages VSj). In some implementations, it is observed that voltage changes ΔVPIX in the array output signal between two consecutive pixel reads is characterized as an exponential process given by

  • ΔV PIX(t)=A(1−e −1/k),  (PP)
  • where A is the difference (VCOLj−VCOLj-1) between two pixel voltage values and k is a time constant associated with a capacitance of the bus 175. FIGS. 18C and 18D illustrate exemplary pixel voltages in a given array output signal Vout (e.g., one of Vout1 and Vout2) showing pixel-to-pixel transitions in the output signal as a function of time, plotted against exemplary sampling clock signals CS. In FIG. 18C, the sampling clock signal CS has a period 524, and an ADC controlled by CS samples a pixel voltage upon a positive transition of CS (as discussed above, in one implementation CS and CH have essentially a same period). FIG. 18C indicates two samples 525A and 525B, between which an exponential voltage transition 522 corresponding to ΔVPIX (t), between a voltage difference A, may be readily observed.
  • For purposes of the present discussion, pixel “settling time” tsettle is defined as the time t at which ΔVPIX(t) attains a value that differs from it's final value by an amount that is equal to the peak noise level of the array output signal. If the peak noise level of the array output signal is denoted as np, then the voltage at the settling time tsettle is given by ΔVPIX(tsettle)=A[1−(np/A)]. Substituting in Eq. (PP) and solving for tsettle yields
  • t settle = - k ln ( n p A ) . ( QQ )
  • FIG. 18D conceptually illustrates a pixel settling time tsettle (reference numeral 526) for a single voltage transition 522 between two pixel voltages having a difference A, using a sampling clock signal CS having a sufficiently long period so as to allow for full settling. To provide some exemplary parameters for purposes of illustration, in one implementation a maximum value for A, representing a maximum range for pixel voltage transitions (e.g., consecutive pixels at minimum and maximum values), is on the order of approximately 250 mV. Additionally, a peak noise level np of the array output signal is taken as approximately 100 μV, and the time constant k is taken as 5 nanoseconds. These values provide an exemplary settling time tsettle approximately 40 nanoseconds. If a settle of maximum data rate of an array output signal is taken as the inverse of the settling time tsettle, a settling time of 40 nanoseconds corresponds to maximum data rate of 25 MHz. In other implementations, A may be on the order of 20 mV and the time constant k may be on the order of 15 nanoseconds, resulting in a settling time tsettle of approximately 80 nanoseconds and a maximum data rate of 12.5 MHz. The values of k indicated above generally correspond to capacitances for the bus 175 in a range of approximately 5 pF to 20 pF. It should be appreciated that the foregoing values are provided primarily for purposes of illustration, and that various embodiments of the present invention are not limited to these exemplary values; in particular, arrays according to various embodiment of the present invention may have different pixel settling times tsettle (e.g., in some cases less than 40 nanoseconds).
  • As indicated above, in one embodiment pixel data may be acquired from the array at data rates that exceed those dictated by the pixel settling time. FIG. 18B illustrates a flow chart for such a method according to one inventive embodiment of the present disclosure. In the method of FIG. 18B, sufficiently slow clock frequencies initially are chosen for the signals CV, CH and CS such that the resulting data rate per array output signal is equal to or lower than the reciprocal of the pixel settling time tsettle to allow for fully settled pixel voltage values from pixel to pixel in a given output signal. With these clock frequencies, as indicated in block 502 of FIG. 18B, settled pixel voltage values are then acquired for the entire array in the absence of an analyte (or in the presence of a reference analyte) to provide a first “dry” or reference data image for the array. In block 504 of FIG. 18B, for each pixel voltage constituting the first data image, a transition value between the pixel's final voltage and the final voltage of the immediately preceding pixel in the corresponding output signal data stream (i.e., the voltage difference A) is collected and stored. The collection of these transition values for all pixels of the array provides a first transition value data set.
  • Subsequently, in block 506 of FIG. 18B, the clock frequencies for the signals CV, CH and CS are increased such that the resulting data rate per array output signal exceeds a rate at which pixel voltage values are fully settled (i.e., a data rate higher than the reciprocal of the settling time tsettle). For purposes of the present discussion, the data rate per array output signal resulting from the selection of such increased clock frequencies for the signals CV, CH and CS is referred to as an “overspeed data rate.” Using the clock frequencies corresponding to the overspeed data rate, pixel voltage values are again obtained for the entire array in the absence of an analyte (or in the presence of the same reference analyte) to provide a second “dry” or reference data image for the array. In block 508 of FIG. 18B, a second transition value data set based on the second data image obtained at the overspeed data rate is calculated and stored, as described above for the first data image.
  • In block 510 of FIG. 18B, a correction factor for each pixel of the array is calculated based on the values stored in the first and second transition value data sets. For example, a correction factor for each pixel may be calculated as a ratio of its transition value from the first transition value data set and its corresponding transition value from the second transition value data set (e.g., the transition value from the first data set may be divided by the transition value from the second data set, or vice versa) to provide a correction factor data set which is then stored. As noted in blocks 512 and 514 of FIG. 18B, this correction factor data set may then be employed to process pixel data obtained from the array operated at clock frequencies corresponding to the overspeed data rate, in the presence of an actual analyte to be measured; in particular, data obtained from the array at the overspeed data rate in the presence of an analyte may be multiplied or divided as appropriate by the correction factor data set (e.g., each pixel multiplied or divided by a corresponding correction factor) to obtain corrected data representative of the desired analyte property to be measured (e.g., ion concentration). It should be appreciated that once the correction factor data set is calculated and stored, it may be used repeatedly to correct multiple frames of data acquired from the array at the overspeed data rate.
  • In addition to controlling the sensor array and ADCs, the timing generator 256 may be configured to facilitate various array calibration and diagnostic functions, as well as an optional UV irradiation treatment. To this end, the timing generator may utilize the signal LSTV indicating the selection of the last row of the array and the signal LSTH to indicate the selection of the last column of the array. The timing generator 256 also may be responsible for generating the CAL signal which applies the reference voltage VREF to the column buffer amplifiers, and generating the UV signal which grounds the drains of all ISFETs in the array during a UV irradiation process (see FIG. 9). The timing generator also may provide some control function over the power supply 258 during various calibration and diagnostic functions, or UV irradiation, to appropriately control supply or bias voltages; for example, during UV irradiation, the timing generator may control the power supply to couple the body voltage VBODY to ground while the UV signal is activated to ground the ISFET drains. With respect to array calibration and diagnostics, as well as UV irradiation, in some implementations the timing generator may receive specialized programs from the computer 260 to provide appropriate control signals. In one aspect, the computer 260 may use various data obtained from reference and/or dummy pixels of the array, as well as column information based on the application of the CAL signal and the reference voltage VREF, to determine various calibration parameters associated with a given array and/or generate specialized programs for calibration and diagnostic functions.
  • Having discussed several aspects of an exemplary ISFET array, FIGS. 19-23 illustrate block diagrams of alternative CMOS IC chip implementations of ISFET sensor arrays having greater numbers of pixels, according to yet other inventive embodiments. In one aspect, each of the ISFET arrays discussed further below in connection with FIGS. 19-23 may be controlled by an array controller similar to that shown in FIG. 17, in some cases with minor modifications to accommodate higher numbers of pixels (e.g., additional preamplifiers 253 and analog-to-digital converters 254).
  • FIG. 19 illustrates a block diagram of an ISFET sensor array 100A based on the column and pixel designs discussed above in connection with FIGS. 9-12 and a 0.35 micrometer CMOS fabrication process, according to one inventive embodiment. The array 100A includes 2048 columns 102 1 through 102 2048, wherein each column includes 2048 geometrically square pixels 105 1 through 105 2048, each having a size of approximately 9 micrometers by 9 micrometers. Thus, the array includes over four million pixels (>4 Mega-pixels) and, in one exemplary implementation, the complete array (ISFET pixels and associated circuitry) may be fabricated as an integrated circuit chip having dimensions of approximately 20.5 millimeters by 20.5 millimeters.
  • In one aspect of the embodiment shown in FIG. 19, the array 100A may be configured, at least in part, as multiple groups of pixels that may be respectively controlled. For example, each column of pixels may be divided into top and bottom halves, and the collection of pixels in respective top halves of columns form a first group 400 1 of rows (e.g., a top group, rows 1-1024) and the collection of pixels in respective bottom halves of columns form a second group 400 2 of rows (e.g., a bottom group, rows 1025-2048). In turn; each of the first and second (e.g., top and bottom) groups of rows is associated with corresponding row select registers, column bias/readout circuitry, column select registers, and output drivers. In this manner, pixel selection and data acquisition from each of the first and second groups of rows 400 1 and 400 2 is substantially similar to pixel selection and data acquisition from the entire array 100 shown in FIG. 13; stated differently, in one aspect, the array 100A of FIG. 19 substantially comprises two simultaneously controlled “sub-arrays” of different pixel groups to provide for significantly streamlined data acquisition from higher numbers of pixels.
  • In particular, FIG. 19 shows that row selection of the first group 400 1 of rows may be controlled by a first row select register 192 1, and row selection of the second group 400 2 of rows may be controlled by a second row select register 192 2. In one aspect, each of the row select registers 192 1 and 192 2 may be configured as discussed above in connection with FIG. 14 to receive vertical clock (CV) and vertical data (DV) signals and generate row select signals in response; for example the first row select register 192 1 may generate the signals RowSel1 through RowSel1024 and the second row select register 192 2 may generate the signals RowSel1025 through RowSel2048 . In another aspect, both row select registers 192 1 and 192 2 may simultaneously receive common vertical clock and data signals, such that two rows of the array are enabled at any given time, one from the top group and another from the bottom group.
  • For each of the first and second groups of rows, the array 100A of FIG. 19 further comprises column bias/readout circuitry 110 1T-110 2048T (for the first row group 400 1) and 110 1B-110 2048B (for the second row group 400 2), such that each column includes two instances of the bias/readout circuitry 110 j shown in FIG. 9. The array 100A also comprises two column select registers 192 1,2 (odd and even) and two output drivers 198 1,2 (odd and even) for the second row group 400 2, and two column select registers 192 3,4 (odd and even) and two output drivers 198 3,4 (odd and even) for the first row group 400, (i.e., a total of four column select registers and four output drivers). The column select registers receive horizontal clock signals (CHT and CHB for the first row group and second row group, respectively) and horizontal data signals (DHT and DHB for the first row group and second row group, respectively) to control odd and even column selection. In one implementation, the CHT and CHB signals may be provided as common signals, and the DHT and DHB may be provided as common signals, to simultaneously read out four columns at a time from the array (i.e., one odd and one even column from each row group); in particular, as discussed above in connection with FIGS. 13-18, two columns may be simultaneously read for each enabled row and the corresponding pixel voltages provided as two output signals. Thus, via the enablement of two rows at any given time, and reading of two columns per row at any given time, the array 100A may provide four simultaneous output signals Vout1, Vout2, Vout3 and Vout4.
  • In one exemplary implementation of the array 100A of FIG. 19, in which complete data frames (all pixels from both the first and second row groups 400 1 and 400 2) are acquired at a frame rate of 20 frames/sec, 1024 pairs of rows are successively enabled for periods of approximately 49 microseconds each. For each enabled row, 1024 pixels are read out by each column select register/output driver during approximately 45 microseconds (allowing 2 microseconds at the beginning and end of each row, as discussed above in connection with FIG. 18). Thus, in this example, each of the array output signals Vout1, Vout2, Vout3 and Vout4 has a data rate of approximately 23 MHz. Again, it should be appreciated that in other implementations, data may be acquired from the array 100A of FIG. 19 at frame rates other than 20 frames/sec (e.g., 50-100 frames/sec).
  • Like the array 100 of FIG. 13, in yet other aspects the array 100A of FIG. 19 may include multiple rows and columns of dummy or reference pixels 103 around a perimeter of the array to facilitate preliminary test/evaluation data, offset determination an/or array calibration. Additionally, various power supply and bias voltages required for array operation (as discussed above in connection with FIG. 9) are provided to the array 100A in block 195, in a manner similar to that discussed above in connection with FIG. 13.
  • FIG. 20 illustrates a block diagram of an ISFET sensor array 100B based on a 0.35 micrometer CMOS fabrication process and having a configuration substantially similar to the array 100A discussed above in FIG. 19, according to yet another inventive embodiment. While the array 100B also is based generally on the column and pixel designs discussed above in connection with FIGS. 9-12, the pixel size/pitch in the array 100B is smaller than that of the pixel shown in FIG. 10. In particular, with reference again to FIGS. 10 and 11, the dimension “e” shown in FIG. 10 is substantially reduced in the embodiment of FIG. 20, without affecting the integrity of the active pixel components disposed in the central region of the pixel, from approximately 9 micrometers to approximately 5 micrometers; similarly, the dimension “f” shown in FIG. 10 is reduced from approximately 7 micrometers to approximately 4 micrometers. Stated differently, some of the peripheral area of the pixel surrounding the active components is substantially reduced with respect to the dimensions given in connection with FIG. 10, without disturbing the top-view and cross-sectional layout and design of the pixel's active components as shown in FIGS. 10 and 11. A top view of such a pixel 105A is shown in FIG. 20A, in which the dimension “e” is 5.1 micrometers and the dimension “f” is 4.1 micrometers. In one aspect of this pixel design, to facilitate size reduction, fewer body connections B are included in the pixel 105A (e.g., one at each corner of the pixel) as compared to the pixel shown in FIG. 10, which includes several body connections B around the entire perimeter of the pixel.
  • As noted in FIG. 20, the array 1008 includes 1348 columns 102 1 through 102 1348, wherein each column includes 1152 geometrically square pixels 105A1 through 105A1152, each having a size of approximately 5 micrometers by 5 micrometers. Thus, the array includes over 1.5 million pixels (>1.5 Mega-pixels) and, in one exemplary implementation, the complete array (ISFET pixels and associated circuitry) may be fabricated as an integrated circuit chip having dimensions of approximately 9 millimeters by 9 millimeters. Like the array 100A of FIG. 19, in one aspect the array 100B of FIG. 20 is divided into two groups of rows 400 1 and 400 2, as discussed above in connection with FIG. 19. In one exemplary implementation, complete data frames (all pixels from both the first and second row groups 400 1 and 400 2) are acquired at a frame rate of 50 frames/sec, thereby requiring 576 pairs of rows to be successively enabled for periods of approximately 35 microseconds each. For each enabled row, 674 pixels are read out by each column select register/output driver during approximately 31 microseconds (allowing 2 microseconds at the beginning and end of each row, as discussed above in connection with FIG. 18). Thus, in this example, each of the array output signals Vout1, Vout2, Vout3 and Vout4 has a data rate of approximately 22 MHz. Again, it should be appreciated that in other implementations, data may be acquired from the array 100B of FIG. 20 at frame rates other than 50 frames/sec.
  • FIG. 21 illustrates a block diagram of an ISFET sensor array 100C based on a 0.35 micrometer CMOS fabrication process and incorporating the smaller pixel size discussed above in connection with FIGS. 20 and 20A (5.1 micrometer square pixels), according to yet another embodiment. As noted in FIG. 21, the array 100C includes 4000 columns 102 1 through 102 4, wherein each column includes 3600 geometrically square pixels 105A1 through 105A3600, each having a size of approximately 5 micrometers by 5 micrometers. Thus, the array includes over 14 million pixels (>14 Mega-pixels) and, in one exemplary implementation, the complete array (ISFET pixels and associated circuitry) may be fabricated as an integrated circuit chip having dimensions of approximately 22 millimeters by 22 millimeters. Like the arrays 100A and 100B of FIGS. 19 and 20, in one aspect the array 100C of FIG. 21 is divided into two groups of rows 400 1 and 400 2. However, unlike the arrays 100A and 100B, for each row group the array 100C includes sixteen column select registers and sixteen output drivers to simultaneously read sixteen pixels at a time in an enabled row, such that thirty-two output signals Vout1-Vout32 may be provided from the array 100C. In one exemplary implementation, complete data frames (all pixels from both the first and second row groups 400 1 and 400 2) may be acquired at a frame rate of 50 frames/sec, thereby requiring 1800 pairs of rows to be successively enabled for periods of approximately 11 microseconds each. For each enabled row, 250 pixels (4000/16) are read out by each column select register/output driver during approximately 7 microseconds (allowing 2 microseconds at the beginning and end of each row). Thus, in this example, each of the array output signals Vout1-Vout32 has a data rate of approximately 35 MHz. As with the previous embodiments, it should be appreciated that in other implementations, data may be acquired from the array 100C at frame rates other than 50 frames/sec.
  • While the exemplary arrays discussed above in connection with FIGS. 13-21 are based on a 0.35 micrometer conventional CMOS fabrication process, it should be appreciated that arrays according to the present disclosure are not limited in this respect, as CMOS fabrication processes having feature sizes of less than 0.35 micrometers may be employed (e.g., 0.18 micrometer CMOS processing techniques) to fabricate such arrays. Accordingly, ISFET sensor arrays with a pixel size/pitch significantly below 5 micrometers may be fabricated, providing for significantly denser ISFET arrays. For example, FIGS. 22 and 23 illustrate respective block diagrams of ISFET sensor arrays 100D and 100E according to yet other embodiments based on a 0.18 micrometer CMOS fabrication process, in which a pixel size of 2.6 micrometers is achieved. The pixel design itself is based substantially on the pixel 105A shown in FIG. 20A, albeit on a smaller scale due to the 0.18 micrometer CMOS process.
  • The array 100D of FIG. 22 includes 2800 columns 102 1 through 102 2800, wherein each column includes 2400 geometrically square pixels each having a size of approximately 2.6 micrometers by 2.6 micrometers. Thus, the array includes over 6.5 million pixels (>6.5 Mega-pixels) and, in one exemplary implementation, the complete array (ISFET pixels and associated circuitry) may be fabricated as an integrated circuit chip having dimensions of approximately 9 millimeters by 9 millimeters. Like the arrays 100A, 100B and 100C of FIGS. 19-21, in one aspect the array 100D of FIG. 22 is divided into two groups of rows 400 1 and 400 2. However, unlike the arrays 100A, 100B, and 100C, for each row group the array 100D includes eight column select registers and eight output drivers to simultaneously read eight pixels at a time in an enabled row, such that sixteen output signals Vout1-Vout16 may be provided from the array 100D. In one exemplary implementation, complete data frames (all pixels from both the first and second row groups 400 1 and 400 2) may be acquired at a frame rate of 50 frames/sec, thereby requiring 1200 pairs of rows to be successively enabled for periods of approximately 16-17 microseconds each. For each enabled row, 350 pixels (2800/8) are read out by each column select register/output driver during approximately 14 microseconds (allowing 1 to 2 microseconds at the beginning and end of each row). Thus, in this example, each of the array output signals Vout1-Vout16 has a data rate of approximately 25 MHz. As with the previous embodiments, it should be appreciated that in other implementations, data may be acquired from the array 100D at frame rates other than 50 frames/sec.
  • The array 100E of FIG. 23 includes 7400 columns 102 1 through 102 7400, wherein each column includes 7400 geometrically square pixels each having a size of approximately 2.6 micrometers by 2.6 micrometers. Thus, the array includes over 54 million pixels (>54 Mega-pixels) and, in one exemplary implementation, the complete array (ISFET pixels and associated circuitry) may be fabricated as an integrated circuit chip having dimensions of approximately 21 millimeters by 21 millimeters. Like the arrays 100A-100D of FIGS. 19-22, in one aspect the array 100E of FIG. 23 is divided into two groups of rows 400 1 and 400 2. However, unlike the arrays 100A-100D, for each row group the array 100E includes thirty-two column select registers and thirty-two output drivers to simultaneously read thirty-two pixels at a time in an enabled row, such that sixty-four output signals Vout1-Vout64 may be provided from the array 100E. In one exemplary implementation, complete data frames (all pixels from both the first and second row groups 400 1 and 400 2) may be acquired at a frame rate of 100 frames/sec, thereby requiring 3700 pairs of rows to be successively enabled for periods of approximately 3 microseconds each. For each enabled row, 230 pixels (7400/32) are read out by each column select register/output driver during approximately 700 nanoseconds. Thus, in this example, each of the array output signals Vout1-Vout64 has a data rate of approximately 328 MHz. As with the previous embodiments, it should be appreciated that in other implementations, data may be acquired from the array 100D at frame rates other than 100 frames/sec.
  • Thus, in various examples of ISFET arrays based on the inventive concepts disclosed herein, an array pitch of approximately nine (9) micrometers (e.g., a sensor surface area of less than ten micrometers by ten micrometers) allows an ISFET array including over 256,000 pixels (i.e., a 512 by 512 array), together with associated row and column select and bias/readout electronics, to be fabricated on a 7 millimeter by 7 millimeter semiconductor die, and a similar sensor array including over four million pixels (i.e., a 2048 by 2048 array, over 4 Mega-pixels) to be fabricated on a 21 millimeter by 21 millimeter die. In other examples, an array pitch of approximately 5 micrometers allows an ISFET array including approximately 1.55 Mega-pixels (i.e., a 1348 by 1152 array) and associated electronics to be fabricated on a 9 millimeter by 9 millimeter die, and an ISFET sensor array including over 14 Mega-pixels and associated electronics on a 22 millimeter by 20 millimeter die. In yet other implementations, using a CMOS fabrication process in which feature sizes of less than 0.35 micrometers are possible (e.g., 0.18 micrometer CMOS processing techniques), ISFET sensor arrays with a pixel size/pitch significantly below 5 micrometers may be fabricated (e.g., array pitch of 2.6 micrometers or pixel/sensor area of less than 8 or 9 micrometers2), providing for significantly dense ISFET arrays.
  • In the embodiments of ISFET arrays discussed above, array pixels employ a p-channel ISFET, as discussed above in connection with FIG. 9. It should be appreciated, however, that ISFET arrays according to the present disclosure are not limited in this respect, and that in other embodiments pixel designs for ISFET arrays may be based on an n-channel ISFET. In particular, any of the arrays discussed above in connection with FIGS. 13 and 19-23 may be implemented with pixels based on n-channel ISFETs.
  • For example, FIG. 24 illustrates the pixel design of FIG. 9 implemented with an n-channel ISFET and accompanying n-channel MOSFETs, according to another inventive embodiment of the present disclosure. More specifically, FIG. 24 illustrates one exemplary pixel 105 1 of an array column (i.e., the first pixel of the column), together with column bias/readout circuitry 110 j, in which the ISFET 150 (Q1) is an n-channel ISFET. Like the pixel design of FIG. 9, the pixel design of FIG. 24 includes only three components, namely, the ISFET 150 and two n-channel MOSFET switches Q2 and Q3, responsive to one of n row select signals (RowSel1 through RowSeln, logic high active). No transmission gates are required in the pixel of FIG. 24, and all devices of the pixel are of a “same type,” i.e., n-channel devices. Also like the pixel design of FIG. 9, only four signal lines per pixel, namely the lines 112 1, 114 1, 116 1 and 118 1, are required to operate the three components of the pixel 105 1 shown in FIG. 24. In other respects, the pixel designs of FIG. 9 and FIG. 24 are similar, in that they are both configured with a constant drain current IDj and a constant drain-to-source voltage VDSj to obtain an output signal VSj from an enabled pixel.
  • One of the primary differences between the n-channel ISFET pixel design of FIG. 24 and the p-channel ISFET design of FIG. 9 is the opposite direction of current flow through the pixel. To this end, in FIG. 24, the element 106 j is a controllable current sink coupled to the analog circuitry supply voltage ground VSSA, and the element 108 j of the bias/readout circuitry 110 j is a controllable current source coupled to the analog positive supply voltage VDDA. Additionally, the body connection of the ISFET 150 is not tied to its source, but rather to the body connections of other ISFETs of the array, which in turn is coupled to the analog ground VSSA, as indicated in FIG. 24.
  • In addition to the pixel designs shown in FIGS. 9 and 24 (based on a constant ISFET drain current and constant ISFET drain-source voltage), alternative pixel designs are contemplated for ISFET arrays, based on both p-channel ISFETs and n-channel ISFETs, according to yet other inventive embodiments of the present disclosure, as illustrated in FIGS. 25-27. As discussed below, some alternative pixel designs may require additional and/or modified signals from the array controller 250 to facilitate data acquisition. In particular, a common feature of the pixel designs shown in FIGS. 25-27 includes a sample and hold capacitor within each pixel itself, in addition to a sample and hold capacitor for each column of the array. While the alternative pixel designs of FIGS. 25-27 generally include a greater number of components than the pixel designs of FIGS. 9 and 24, the feature of a pixel sample and hold capacitor enables “snapshot” types of arrays, in which all pixels of an array may be enabled simultaneously to sample a complete frame and acquire signals representing measurements of one or more analytes in proximity to respective ISFETs of the array. In some applications, this may provide for higher data acquisition speeds and/or improved signal sensitivity (e.g., higher signal-to-noise ratio).
  • FIG. 25 illustrates one such alternative design for a single pixel 105C and associated column circuitry 110 j. The pixel 105C employs an n-channel ISFET and is based generally on the premise of providing a constant voltage across the ISFET Q1 based on a feedback amplifier (Q4, Q5 and Q6). In particular, transistor Q4 constitutes the feedback amplifier load, and the amplifier current is set by the bias voltage VB1 (provided by the array controller). Transistor Q5 is a common gate amplifier and transistor Q6 is a common source amplifier. Again, the purpose of feedback amplifier is to hold the voltage across the ISFET Q1 constant by adjusting the current supplied by transistor Q3. Transistor Q2 limits the maximum current the ISFET Q1 can draw (e.g., so as to prevent damage from overheating a very large array of pixels). This maximum current is set by the bias voltage VB2 (also provided by the array controller). In one aspect of the pixel design shown in FIG. 25, power to the pixel 105C may be turned off by setting the bias voltage VB2 to 0 Volts and the bias voltage VB1 to 3.3 Volts. In this manner, the power supplied to large arrays of such pixels may be modulated (turned on for a short time period and then off by the array controller) to obtain ion concentration measurements while at the same time reducing overall power consumption of the array. Modulating power to the pixels also reduces heat dissipation of the array and potential heating of the analyte solution, thereby also reducing any potentially deleterious effects from sample heating.
  • In FIG. 25, the output of the feedback amplifier (the gate of transistor Q3) is sampled by MOS switch Q7 and stored on a pixel sample and hold capacitor Csh within the pixel itself. The switch Q7 is controlled by a pixel sample and hold signal pSH (provided to the array chip by the array controller), which is applied simultaneously to all pixels of the array so as to simultaneously store the readings of all the pixels on their respective sample and hold capacitors. In this manner, arrays based on the pixel design of FIG. 25 may be considered as “snapshot” arrays, in that a full frame of data is sampled at any given time, rather than sampling successive rows of the array. After each pixel value is stored on the corresponding pixel sample and hold capacitor Csh, each pixel 105C (ISFET and feedback amplifier) is free to acquire another pH reading or it can by turned off to conserve power.
  • In FIG. 25, the pixel values stored on all of the pixel sample and hold capacitors Csh are applied to the column circuitry 110 j one row at a time through source follower Q8, which is enabled via the transistor Q9 in response to a row select signal (e.g., RowSel1). In particular, after a row is selected and has settled out, the values stored in the pixel sample and hold capacitors are then in turn stored on the column sample and hold capacitors Csh2, as enabled by the column sample and hold signal COL SH, and provided as the column output signal VCOLj.
  • FIG. 26 illustrates another alternative design for a single pixel 105D and associated column circuitry 110 j, according to one embodiment of the present disclosure. In this embodiment, the ISFET is shown as a p-channel device. At the start of a data acquisition cycle, CMOS switches controlled by the signals pSH (pixel sample/hold) and pRST (pixel reset) are closed (these signals are supplied by the array controller). This pulls the source of ISFET (Q1) to the voltage VRST. Subsequently, the switch controlled by the signal pRST is opened, and the source of ISFET Q1 pulls the pixel sample and hold capacitor Csh to a threshold below the level set by pH. The switch controlled by the signal pSH is then opened, and the pixel output value is coupled, via operation of a switch responsive to the row select signal RowSel1, to the column circuitry 110 j to provide the column output signal VCOLj. Like the pixel design in the embodiment illustrated in FIG. 25, arrays based on the pixel 105D are “snapshot” type arrays in that all pixels of the array may be operated simultaneously. In one aspect, this design allows a long simultaneous integration time on all pixels followed by a high-speed read out of an entire frame of data.
  • FIG. 27 illustrates yet another alternative design for a single pixel 105E and associated column circuitry 110 j, according to one embodiment of the present disclosure. In this embodiment, again the ISFET is shown as a p-channel device. At the start of a data acquisition cycle, the switches operated by the control signals pl and pRST are briefly closed. This clears the value stored on the sampling capacitor Csh and allows a charge to be stored on ISFET (Q1). Subsequently, the switch controlled by the signal pSH is closed, allowing the charge stored on the ISFET Q1 to be stored on the pixel sample and hold capacitor Csh. The switch controlled by the signal pSH is then opened, and the pixel output value is coupled, via operation of a switch responsive to the row select signal RowSel1, to the column circuitry 110 j to provide the column output signal VCOLj. Gain may be provided in the pixel 105E via the ratio of the ISFET capacitance to the Csh cap, i.e., gain=CQ1/Csh, or by enabling the pixel multiple times (i.e., taking multiple samples of the analyte measurement) and accumulating the ISFET output on the pixel sample and hold capacitor Csh without resetting the capacitor (i.e., gain is a function of the number of accumulations). Like the embodiments of FIGS. 25 and 26, arrays based on the pixel 105D are “snapshot” type arrays in that all pixels of the array may be operated simultaneously.
  • Computer Hardware and Software
  • With respect to the computer interface 252 of the array controller 250, in one exemplary implementation the interface is configured to facilitate a data rate of approximately 200 MB/sec to the computer 260, and may include local storage of up to 400 MB or greater. The computer 260 is configured to accept data at a rate of 200 MB/sec, and process the data so as to reconstruct an image of the pixels (e.g., which may be displayed in false-color on a monitor). For example, the computer may be configured to execute a general-purpose program with routines written in C++ or Visual Basic to manipulate the data and display is as desired.
  • The systems described herein, when used for sequencing, typically involve a chemFET array supporting reaction chambers, the chemFETs being coupled to an interface capable of executing logic that converts the signals from the chemFETs into sequencing information.
  • The sequencing information obtained from the system may be delivered to a handheld computing device, such as a personal digital assistant. Thus, in one embodiment, the invention encompasses logic for displaying a complete genome of an organism on a handheld computing device. The invention also encompasses logic adapted for sending data from a chemFET array to a handheld computing device. Any of such logic may be computer-implemented.
  • Microfluidics and Microwell Arrays
  • Turning from the sensor discussion, we will now be addressing the combining of the ISFET array with a microwell array and the attendant fluidics. As most of the drawings of the microwell array structure are presented only in cross-section or showing that array as only a block in a simplified diagram, FIGS. 28A and 28B are provided to assist the reader in beginning to visualize the resulting apparatus in three-dimensions. FIG. 28A shows a group of round cylindrical wells 2810 arranged in an array, while FIG. 28B shows a group of rectangular cross-section wells 2830 arranged in an array. It will be seen that the wells are separated (isolated) from each other by the material 2840 forming the well walls. While it is certainly possible to fabricate wells of other cross-sections, in some embodiments it may not be advantageous to do so. Such an array of microwells sits over the above-discussed ISFET array, with one or more ISFETs per well. In the subsequent drawings, when the microwell array is identified, one may picture one of these arrays.
  • Fluidic System: Apparatus and Method for Use with High Density Electronic Sensor Arrays
  • For many uses, to complete a system for sensing chemical reactions or chemical agents using the above-explained high density electronic arrays, techniques and apparatus are required for delivery to the array elements (called “pixels”) fluids containing chemical or biochemical components for sensing. In this section, exemplary techniques and methods will be illustrated, which are useful for such purposes, with desirable characteristics.
  • As high speed operation of the system may be desired, it is preferred that the fluid delivery system, insofar as possible, not limit the speed of operation of the overall system.
  • Accordingly, needs exist not only for high-speed, high-density arrays of ISFETs or other elements sensitive to ion concentrations or other chemical attributes, or changes in chemical attributes, but also for related mechanisms and techniques for supplying to the array elements the samples to be evaluated, in sufficiently small reaction volumes as to substantially advance the speed and quality of detection of the variable to be sensed.
  • There are two and sometimes three components or subsystems, and related methods, involved in delivery of the subject chemical samples to the array elements: (1) macrofluidic system of reagent and wash fluid supplies and appropriate valving and ancillary apparatus, (2) a flow cell and (3) in many applications, a microwell array. Each of these subsystems will be discussed, though in reverse order.
  • Microwell Array
  • As discussed elsewhere, for many uses, such as in DNA sequencing, it is desirable to provide over the array of semiconductor sensors a corresponding array of microwells, each microwell being small enough preferably to receive only one DNA-loaded bead, in connection with which an underlying pixel in the array will provide a corresponding output signal.
  • The use of such a microwell array involves three stages of fabrication and preparation, each of which is discussed separately: (1) creating the array of microwells to result in a chip having a coat comprising a microwell array layer; (2) mounting of the coated chip to a fluidic interface; and in the case of DNA sequencing, (3) loading DNA-loaded bead or beads into the wells. It will be understood, of course, that in other applications, beads may be unnecessary or beads having different characteristics may be employed.
  • The systems described herein can include an array of microfluidic reaction chambers integrated with a semiconductor comprising an array of chemFETs. In some embodiments, the invention encompasses such an array. The reaction chambers may, for example, be formed in a glass, dielectric, photodefineable or etchable material. The glass material may be silicon dioxide.
  • Preferably, the array comprises at least 100,000 chambers. Preferably, each reaction chamber has a horizontal width and a vertical depth that has an aspect ratio of about 1:1 or less. Preferably, the pitch between the reaction chambers is no more than about 10 microns.
  • The above-described array can also be provided in a kit for sequencing. Thus, in some embodiments, the invention encompasses a kit comprising an array of microfluidic reaction chambers integrated with an array of chemFETs, and one or more amplification reagents.
  • In some embodiments, the invention encompasses a sequencing apparatus comprising a dielectric layer overlying a chemFET, the dielectric layer having a recess laterally centered atop the chemFET. Preferably, the dielectric layer is formed of silicon dioxide.
  • Microwell Array Fabrication
  • Microwell fabrication may be accomplished in a number of ways. The actual details of fabrication may require some experimentation and vary with the processing capabilities that are available.
  • In general, fabrication of a high density array of microwells involves photo-lithographically patterning the well array configuration on a layer or layers of material such as photoresist (organic or inorganic), a dielectric, using an etching process. The patterning may be done with the material on the sensor array or it may be done separately and then transferred onto the sensor array chip, of some combination of the two. However, techniques other than photolithography are not to be excluded if they provide acceptable results.
  • One example of a method for forming a microwell array is now discussed, starting with reference to FIG. 29. That figure diagrammatically depicts a top view of one corner (i.e., the lower left corner) of the layout of a chip showing an array 2910 of the individual ISFET sensors 2912 on the CMOS die 2914. Signal lines 2916 and 2918 are used for addressing the array and reading its output. Block 2920 represents some of the electronics for the array, as discussed above, and layer 2922 represents a portion of a wall which becomes part of a microfluidics structure, the flow cell, as more fully explained below; the flow cell is that structure which provides a fluid flow over the microwell array or over the sensor surface directly, if there is no microwell structure. On the surface of the die, a pattern such as pattern 2922 at the bottom left of FIG. 29 may be formed during the semiconductor processing to form the ISFETs and associated circuitry, for use as alignment marks for locating the wells over the sensor pixels when the dielectric has covered the die's surface.
  • After the semiconductor structures, as shown, are formed, the microwell structure is applied to the die. That is, the microwell structure can be formed right on the die or it may be formed separately and then mounted onto the die, either approach being acceptable. To form the microwell structure on the die, various processes may be used. For example, the entire die may be spin-coated with, for example, a negative photoresist such as Microchem's SU-8 2015 or a positive resist/polyimide such as HD Microsystems HD8820, to the desired height of the microwells. The desired height of the wells (e.g., about 4-12 μm in the example of one pixel per well, though not so limited as a general matter) in the photoresist layer(s) can be achieved by spinning the appropriate resist at predetermined rates (which can be found by reference to the literature and manufacturer specifications, or empirically), in one or more layers. (Well height typically may be selected in correspondence with the lateral dimension of the sensor pixel, preferably for a nominal 1:1-1.5:1 aspect ratio, height:width or diameter. Based on signal-to-noise considerations, there is a relationship between dimensions and the required data sampling rates to achieve a desired level of performance. Thus there are a number of factors that will go into selecting optimum parameters for a given application.) Alternatively, multiple layers of different photoresists may be applied or another form of dielectric material may be deposited. Various types of chemical vapor deposition may also be used to build up a layer of materials suitable for microwell formation therein.
  • Once the photoresist layer (the singular form “layer” is used to encompass multiple layers in the aggregate, as well) is in place, the individual wells (typically mapped to have either one or four ISFET sensors per well) may be generated by placing a mask (e.g., of chromium) over the resist-coated die and exposing the resist to cross-linking (typically UV) radiation. All resist exposed to the radiation (i.e., where the mask does not block the radiation) becomes cross-linked and as a result will form a permanent plastic layer bonded to the surface of the chip (die). Unreacted resist (i.e., resist in areas which are not exposed, due to the mask blocking the light from reaching the resist and preventing cross-linking) is removed by washing the chip in a suitable solvent (i.e., developer) such as propyleneglycolmethylethylacetate (PGMEA) or other appropriate solvent. The resultant structure defines the walls of the microwell array.
  • FIG. 30 shows an example of a layout for a portion of a chromium mask 3010 for a one-sensor-per-well embodiment, corresponding to the portion of the die shown in FIG. 29. The grayed areas 3012, 3014 are those that block the UV radiation. The alignment marks in the white portions 3016 on the bottom left quadrant of FIG. 30, within gray area 3012, are used to align the layout of the wells with the ISFET sensors on the chip surface. The array of circles 3014 in the upper right quadrant of the mask block radiation from reaching the well areas, to leave unreacted resist which can be dissolved in forming the wells.
  • FIG. 31 shows a corresponding layout for the mask 3020 for a 4-sensors-per-well embodiment. Note that the alignment pattern 3016 is still used and that the individual well-masking circles 3014A in the array 2910 now have twice the diameter as the wells 3014 in FIG. 30, for accommodating four sensors per well instead of one sensor-per-well.
  • After exposure of the die/resist to the UV radiation, a second layer of resist may be coated on the surface of the chip. This layer of resist may be relatively thick, such as about 400-450 μm thick, typically. A second mask 3210 (FIG. 32), which also may be of chromium, is used to mask an area 3220 which surrounds the array, to build a collar or wall (or basin, using that term in the geological sense) 3310 of resist which surrounds the active array of sensors on substrate 3312, as shown in FIG. 33. In the particular example being described, the collar is 150 μm wider than the sensor array, on each side of the array, in the x direction, and 9 μm wider on each side than the sensor array, in the y direction. Alignment marks on mask 3210 (most not shown) are matched up with the alignment marks on the first layer and the CMOS chip itself.
  • Other photolithographic approaches may be used for formation of the microwell array, of course, the foregoing being only one example.
  • For example, contact lithography of various resolutions and with various etchants and developers may be employed. Both organic and inorganic materials may be used for the layer(s) in which the microwells are formed. The layer(s) may be etched on a chip having a dielectric layer over the pixel structures in the sensor array, such as a passivation layer, or the layer(s) may be formed separately and then applied over the sensor array. The specific choice or processes will depend on factors such as array size, well size, the fabrication facility that is available, acceptable costs, and the like.
  • Among the various organic materials which may be used in some embodiments to form the microwell layer(s) are the above-mentioned SU-8 type of negative-acting photoresist, a conventional positive-acting photoresist and a positive-acting photodefineable polyimide. Each has its virtues and its drawbacks, well known to those familiar with the photolithographic art.
  • Naturally, in a production environment, modifications will be appropriate.
  • Contact lithography has its limitations and it may not be the production method of choice to produce the highest densities of wells—i.e., it may impose a higher than desired minimum pitch limit in the lateral directions. Other techniques, such as a deep UV step-and-repeat process, are capable of providing higher resolution lithography and can be used to produce small pitches and possibly smaller well diameters. Of course, for different desired specifications (e.g., numbers of sensors and wells per chip), different techniques may prove optimal. And pragmatic factors, such as the fabrication processes available to a manufacturer, may motivate the use of a specific fabrication method. While novel methods are discussed, various aspects of the invention are limited to use of these novel methods.
  • Preferably the CMOS wafer with the ISFET array will be planarized after the final metallization process. A chemical mechanical dielectric planarization prior to the silicon nitride passivation is suitable. This will allow subsequent lithographic steps to be done on very flat surfaces which are free of back-end CMOS topography.
  • By utilizing deep-UV step-and-repeat lithography systems, it is possible to resolve small features with superior resolution, registration, and repeatability. However, the high resolution and large numerical aperture (NA) of these systems precludes their having a large depth of focus. As such, it may be necessary, when using such a fabrication system, to use thinner photodefinable spin-on layers (i.e., resists on the order of 1-2 μm rather than the thicker layers used in contact lithography) to pattern transfer and then etch microwell features to underlying layer or layers. High resolution lithography can then be used to pattern the microwell features and conventional SiO2 etch chemistries can be used—one each for the bondpad areas and then the microwell areas—having selective etch stops; the etch stops then can be on aluminum bondpads and silicon nitride passivation (or the like), respectively. Alternatively, other suitable substitute pattern transfer and etch processes can be employed to render microwells of inorganic materials.
  • Another approach is to form the microwell structure in an organic material. For example, a dual-resist “soft-mask” process may be employed, whereby a thin high-resolution deep-UV resist is used on top of a thicker organic material (e.g., cured polyimide or opposite-acting resist). The top resist layer is patterned. The pattern can be transferred using an oxygen plasma reactive ion etch process. This process sequence is sometimes referred to as the “portable conformable mask” (PCM) technique. See B. J. Lin et al., “Practicing the Novolac deep-UV portable conformable masking technique”, Journal of Vacuum Science and Technology 19, No. 4, 1313-1319 (1981); and A. Cooper et al, “Optimization of a photosensitive spin-on dielectric process for copper inductor coil and interconnect protection in RF SoC devices.”
  • Alternatively a “drill-focusing” technique may be employed, whereby several sequential step-and-repeat exposures are done at different focal depths to compensate for the limited depth of focus (DOF) of high-resolution steppers when patterning thick resist layers. This technique depends on the stepper NA and DOF as well as the contrast properties of the resist material.
  • Another PCM technique may be adapted to these purposes, such as that shown in U.S. patent application publication no. 2006/0073422 by Edwards et al. This is a three-layer PCM process and it is illustrated in FIG. 33A. As shown there, basically six major steps are required to produce the microwell array and the result is quite similar to what contact lithography would yield.
  • In a first step, 3320, a layer of high contrast negative-acting photoresist such as type Shipley InterVia Photodielectric Material 8021 (IV8021) 3322 is spun on the surface of a wafer, which we shall assume to be the wafer providing the substrate 3312 of FIG. 33 (in which the sensor array is fabricated), and a soft bake operation is performed. Next, in step 3324, a blocking anti-reflective coating (BARC) layer 3326, is applied and soft baked. On top of this structure, a thin resist layer 3328 is spun on and soft baked, step 3330, the thin layer of resist being suitable for fine feature definition. The resist layer 3328 is then patterned, exposed and developed, and the BARC in the exposed regions 3329, not protected any longer by the resist 3328, is removed, Step 3332. This opens up regions 3329 down to the uncured IV8021 layer. The BARC layer can now act like a conformal contact mask A blanket exposure with a flooding exposure tool, Step 3334, cross-links the exposed IV8021, which is now shown as distinct from the uncured IV8021 at 3322. One or more developer steps 3338 are then performed, removing everything but the cross-linked IV8021 in regions 3336. Regions 3336 now constitute the walls of the microwells.
  • Although as shown above, the wells bottom out (i.e. terminate) on the top passivation layer of the ISFETs, it is believed that an improvement in ISFET sensor performance (i.e. such as signal-to-noise ratio) can be obtained if the active bead(s) is(are) kept slightly elevated from the ISFET passivation layer. One way to do so is to place a spacer “bump” within the boundary of the pixel microwell. An example of how this could be rendered would be not etching away a portion of the layer-or-layers used to form the microwell structure (i.e. two lithographic steps to form the microwells—one to etch part way done, the other to pattern the bump and finish the etch to bottom out), by depositing and lithographically defining and etching a separate layer to form the “bump”, by using a permanent photo-definable material for the bump once the microwells are complete, or by forming the bump prior to forming the microwell. The bump feature is shown as 3350 in FIG. 33B. An alternative (or additional) non-integrated approach is to load the wells with a layer or two of very small packing beads before loading the DNA-bearing beads.
  • Using a 6 micron thick layer of tetra-methyl-ortho-silicate (TEOS) as a SiO2-like layer for microwell formation, FIG. 33B-1 shows a scanning electron microscope (SEM) image of a cross-section of a portion 3300A of an array architecture as taught herein. Microwells 3302A are formed in the TEOS layer 3304A. The wells extend about 4 μm into the 6 μm thick layer. Typically, the etched well bottoms on an etch-stop material which may be, for example, an oxide, an organic material or other suitable material known in semiconductor processing for etch-stopping use. A thin layer of etch stop material may be formed on top of a thicker layer of polyimide or other suitable dielectric, such that there is about 2 μm of etch stop+polyimide between the well bottom and the Metal4 (M4) layer of the chip in which the extended gate electrode 3308A is formed for each underlying ISFET in the array. As labeled on the side, the CMOS metallization layers M3, M2 and M1, which form lower level interconnects and structures, are shown, with the ISFET channels being formed in the areas indicated by arrows 3310A.
  • In the orthogonal cross-sectional view (i.e., looking down from the top), the wells may be formed in either round or square shape. Round wells may improve bead capture and may obviate the need for packing beads at the bottom or top of the wells.
  • The tapered slopes to the sides of the microwells also may be used to advantage. Referring to FIG. 33B-2, if the beads 3320A have a diameter larger than the bottom span across the wells, but small enough to fit into the mouths of the wells, the beads will be spaced off the bottom of the wells due to the geometric constraints. For example, FIG. 33B-2 illustrates the example of microwells that are square in cross-section as viewed from the top, 4 μm on a side, with 3.8 μm diameter beads 3320A loaded. Experimentally and with some calculation, one may determine suitable bead size and well dimension combinations. FIG. 33B-3 shows a portion of one 4 μm well loaded with a 2.8 μm diameter bead 3322A, which obviously is relatively small and falls all the way to the bottom of the well; a 4.0 μm diameter bead 3324A which is stopped from reaching the bottom by the sidewall taper of the well; and an intermediate-sized bead 3326A of 3.6 μm diameter which is spaced from the well bottom by packing beads 3328A. Clearly, bead size has to be carefully matched to the microwell etch taper.
  • Thus, microwells can be fabricated by any high aspect ratio photo-definable or etchable thin-film process, that can provide requisite thickness (e.g., about 4-10 μm). Among the materials believed to be suitable are photosensitive polymers, deposited silicon dioxide, non-photosensitive polymer which can be etched using, for example, plasma etching processes, etc. In the silicon dioxide family, TEOS and silane nitrous oxide (SILOX) appear suitable. The final structures are similar but the various materials present differing surface compositions that may cause the target biology or chemistry to react differently.
  • When the microwell layer is formed, it may be necessary to provide an etch stop layer so that the etching process does not proceed further than desired. For example, there may be an underlying layer to be preserved, such as a low-K dielectric. The etch stop material should be selected according to the application. SiC and SiN materials may be suitable, but that is not meant to indicate that other materials may not be employed, instead. These etch-stop materials can also serve to enhance the surface chemistry which drives the ISFET sensor sensitivity, by choosing the etch-stop material to have an appropriate point of zero charge (PZC). Various metal oxides may be suitable addition to silicon dioxide and silicon nitride.
  • The PZCs for various metal oxides may be found in various texts, such as “Metal Oxides—Chemistry and Applications” by J. Fierro. We have learned that Ta2O5 may be preferred as an etch stop over Al2O3 because the PZC of Al2O3 is right at the pH being used (i.e., about 8.8) and, hence, right at the point of zero charge. In addition Ta2O5 has a higher sensitivity to pH (i.e., mV/pH), another important factor in the sensor performance. Optimizing these parameters may require judicious selection of passivation surface materials.
  • Using thin metal oxide materials for this purpose (i.e., as an etch stop layer) is difficult due to the fact of their being so thinly deposited (typically 200-500 A). A post-microwell fabrication metal oxide deposition technique may allow placement of appropriate PZC metal oxide films at the bottom of the high aspect ratio microwells.
  • Electron-beam depositions of (a) reactively sputtered tantalum oxide, (b) non-reactive stoichiometric tantalum oxide, (c) tungsten oxide, or (d) Vanadium oxide may prove to have superior “down-in-well” coverage due to the superior directionality of the deposition process.
  • The array typically comprises at least 100 microfluidic wells, each of which is coupled to one or more chemFET sensors. Preferably, the wells are formed in at least one of a glass (e.g., SiO2), a polymeric material, a photodefinable material or a reactively ion etchable thin film material. Preferably, the wells have a width to height ratio less than about 1:1. Preferably the sensor is a field effect transistor, and more preferably a chemFET. The chemFET may optionally be coupled to a PPi receptor. Preferably, each of the chemFETs occupies an area of the array that is 102 microns or less.
  • In some embodiments, the invention encompasses a sequencing device comprising a semiconductor wafer device coupled to a dielectric layer such as a glass (e.g., SiO2), polymeric, photodefinable or reactive ion etchable material in which reaction chambers are formed. Typically, the glass, dielectric, polymeric, photodefinable or reactive ion etchable material is integrated with the semiconductor wafer layer. In some instances, the glass, polymeric, photodefinable or reactive ion etchable layer is non-crystalline. In some instances, the glass may be SiO2. The device can optionally further comprise a fluid delivery module of a suitable material such as a polymeric material, preferably an injection moldable material. More preferably, the polymeric layer is polycarbonate.
  • In some embodiments, the invention encompasses a method for manufacturing a sequencing device comprising: using photolithography, generating wells in a glass, dielectric, photodefinable or reactively ion etchable material on top of an array of transistors.
  • Yet another alternative when a CMOS or similar fabrication process is used for array fabrication is to form the microwells directly using the CMOS materials. That is, the CMOS top metallization layer forming the floating gates of the ISFET array usually is coated with a passivation layer that is about 1.3 μm thick. Microwells 1.3 μm deep can be formed by etching away the passivation material. For example, microwells having a 1:1 aspect ratio may be formed, 1.3 μm deep and 1.3 μm across at their tops. Modeling indicates that as the well size is reduced, in fact, the DNA concentration, and hence the SNR, increases. So, other factors being equal, such small wells may prove desirable.
  • Mounting the Flow Cell (Fluidic Interface) to the Sensor Chip
  • The process of using the assembly of an array of sensors on a chip combined with an array of microwells to sequence the DNA in a sample is referred to as an “experiment.” Executing an experiment requires loading the wells with the DNA-bound beads and the flowing of several different fluid solutions (i.e., reagents and washes) across the wells. A fluid delivery system (e.g., valves, conduits, pressure source(s), etc.) coupled with a fluidic interface is needed which flows the various solutions across the wells in a controlled even flow with acceptably small dead volumes and small cross contamination between sequential solutions. Ideally, the fluidic interface to the chip (sometimes referred to as a “flow cell”) would cause the fluid to reach all microwells at the same time. To maximize array speed, it is necessary that the array outputs be available at as close to the same time as possible. The ideal clearly is not possible, but it is desirable to minimize the differentials, or skews, of the arrival times of an introduced fluid, at the various wells, in order to maximize the overall speed of acquisition of all the signals from the array.
  • Flow cell designs of many configurations are possible; thus the system and methods presented herein are not dependent on use of a specific flow cell configuration. It is desirable, though, that a suitable flow cell substantially conform to the following set of objectives:
      • have connections suitable for interconnecting with a fluidics delivery system—e.g., via appropriately-sized tubing;
      • have appropriate head space above wells;
      • minimize dead volumes encountered by fluids;
      • minimize small spaces in contact with liquid but not quickly swept clean by flow of a wash fluid through the flow cell (to minimize cross contamination);
      • be configured to achieve uniform transit time of the flow over the array;
      • generate or propagate minimal bubbles in the flow over the wells;
      • be adaptable to placement of a removable reference electrode inside or as close to the flow chamber as possible;
      • facilitate easy loading of beads;
      • be manufacturable at acceptable cost; and
      • be easily assembled and attached to the chip package.
  • Satisfaction of these criteria so far as possible will contribute to system performance positively. For example, minimization of bubbles is important so that signals from the array truly indicate the reaction in a well rather than being spurious noise.
  • Each of several example designs will be discussed, meeting these criteria in differing ways and degrees. In each instance, one typically may choose to implement the design in one of two ways: either by attaching the flow cell to a frame and gluing the frame (or otherwise attaching it) to the chip or by integrating the frame into the flow cell structure and attaching this unified assembly to the chip. Further, designs may be categorized by the way the reference electrode is integrated into the arrangement. Depending on the design, the reference electrode may be integrated into the flow cell (e.g., form part of the ceiling of the flow chamber) or be in the flow path (typically to the outlet or downstream side of the flow path, after the sensor array).
  • A first example of a suitable experiment apparatus 3410 incorporating such a fluidic interface is shown in FIGS. 34-37, the manufacture and construction of which will be discussed in greater detail below.
  • The apparatus comprises a semiconductor chip 3412 (indicated generally, though hidden) on or in which the arrays of wells and sensors are formed, and a fluidics assembly 3414 on top of the chip and delivering the sample to the chip for reading. The fluidics assembly includes a portion 3416 for introducing fluid containing the sample, a portion 3418 for allowing the fluid to be piped out, and a flow chamber portion 3420 for allowing the fluid to flow from inlet to outlet and along the way interact with the material in the wells. Those three portions are unified by an interface comprising a glass slide 3422 (e.g., Erie Microarray Cat #C22-5128-M20 from Erie Scientific Company, Portsmouth, N.H., cut in thirds, each to be of size about 25 mm×25 mm).
  • Mounted on the top face of the glass slide are two fittings, 3424 and 3426, such as nanoport fittings Part # N-333 from Upchurch Scientific of Oak Harbor, Wash. One port (e.g., 3424) serves as an inlet delivering liquids from the pumping/valving system described below but not shown here. The second port (e.g., 3426) is the outlet which pipes the liquids to waste. Each port connects to a conduit 3428, 3432 such as flexible tubing of appropriate inner diameter. The nanoports are mounted such that the tubing can penetrate corresponding holes in the glass slide. The tube apertures should be flush with the bottom surface of the slide.
  • On the bottom of the glass slide, flow chamber 3420 may comprise various structures for promoting a substantially laminar flow across the microwell array. For example, a series of microfluidic channels fanning out from the inlet pipe to the edge of the flow chamber may be patterned by contact lithography using positive photoresists such as SU-8 photoresist from MicroChem. Corp. of Newton, Mass. Other structures will be discussed below.
  • The chip 3412 will in turn be mounted to a carrier 3430, for packaging and connection to connector pins 3432.
  • For ease of description, to discuss fabrication starting with FIG. 38 we shall now consider the glass slide 3422 to be turned upside down relative to the orientation it has in FIGS. 34-37.
  • A layer of photoresist 3810 is applied to the “top” of the slide (which will become the “bottom” side when the slide and its additional layers is turned over and mounted to the sensor assembly of ISFET array with microwell array on it). Layer 3810 may be about 150 μm thick in this example, and it will form the primary fluid carrying layer from the end of the tubing in the nanoports to the edge of the sensor array chip. Layer 3810 is patterned using a mask such as the mask 3910 of FIG. 39 (“patterned’ meaning that a radiation source is used to expose the resist through the mask and then the non-plasticized resist is removed). The mask 3910 has radiation-transparent regions which are shown as white and radiation-blocking regions 3920, which are shown in shading. The radiation-blocking regions are at 3922-3928. The region 3926 will form a channel around the sensor assembly; it is formed about 0.5 mm inside the outer boundary of the mask 3920, to avoid the edge bead that is typical. The regions 3922 and 3924 will block radiation so that corresponding portions of the resist are removed to form voids shaped as shown. Each of regions 3922, 3924 has a rounded end dimensioned to receive an end of a corresponding one of the tubes 3428, 3432 passing through a corresponding nanoport 3424, 3426. From the rounded end, the regions 3922, 3924 fan out in the direction of the sensor array to allow the liquid to spread so that the flow across the array will be substantially laminar. The region 3928 is simply an alignment pattern and may be any suitable alignment pattern or be replaced by a suitable substitute alignment mechanism. Dashed lines on FIG. 38 have been provided to illustrate the formation of the voids 3822 and 3824 under mask regions 3922 and 3924.
  • A second layer of photoresist is formed quite separately, not on the resist 3810 or slide 3422. Preferably it is formed on a flat, flexible surface (not shown), to create a peel-off, patterned plastic layer. As shown in FIG. 40, this second layer of photoresist may be formed using a mask such as mask 4010, which will leave on the flexible substrate, after patterning, the border under region 4012, two slits under regions 4014, 4016, whose use will be discussed below, and alignment marks produced by patterned regions 4018 and 4022. The second layer of photoresist is then applied to the first layer of photoresist using one alignment mark or set of alignment marks, let's say produced by pattern 4018, for alignment of these layers. Then the second layer is peeled from its flexible substrate and the latter is removed.
  • The other alignment mark or set of marks produced by pattern 4022 is used for alignment with a subsequent layer to be discussed.
  • The second layer is preferably about 150 μm deep and it will cover the fluid-carrying channel with the exception of a slit about 150 μm long at each respective edge of the sensor array chip, under slit-forming regions 4014 and 4016.
  • Once the second layer of photoresist is disposed on the first layer, a third patterned layer of photoresist is formed over the second layer, using a mask such as mask 4110, shown in FIG. 41. The third layer provides a baffle member under region 4112 which is as wide as the collar 3310 on the sensor chip array (see FIG. 33) but about 300 μm narrower to allow overlap with the fluid-carrying channel of the first layer. The third layer may be about 150 μm thick and will penetrate the chip collar 3310, toward the floor of the basin formed thereby, by 150 μm. This configuration will leave a headspace of about 300 μm above the wells on the sensor array chip. The liquids are flowed across the wells along the entire width of the sensor array through the 150 μm slits under 4014, 4016.
  • FIG. 36 shows a partial sectional view, in perspective, of the above-described example embodiment of a microfluidics and sensor assembly, also depicted in FIGS. 34 and 35, enlarged to make more visible the fluid flow path. (A further enlarged schematic of half of the flow path is shown in FIG. 37.) Here, it will be seen that fluid enters via the inlet pipe 3428 in inlet port 3424. At the bottom of pipe 3428, the fluid flows through the flow expansion chamber 3610 formed by mask area 3922, that the fluid flows over the collar 3310 and then down into the bottom 3320 of the basin, and across the die 3412 with its microwell array. After passing over the array, the fluid then takes a vertical turn at the far wall of the collar 3310 and flows over the top of the collar to and across the flow concentration chamber 3612 formed by mask area 3924, exiting via outlet pipe 3432 in outlet port 3426. Part of this flow, from the middle of the array to the outlet, may be seen also in the enlarged diagrammatic illustration of FIG. 37, wherein the arrows indicate the flow of the fluid.
  • The fluidics assembly may be secured to the sensor array chip assembly by applying an adhesive to parts of mating surfaces of those two assemblies, and pressing them together, in alignment.
  • Though not illustrated in FIGS. 34-36, the reference electrode may be understood to be a metallization 3710, as shown in FIG. 37, at the ceiling of the flow chamber.
  • Another way to introduce the reference electrode is shown in FIG. 42. There, a hole 4210 is provided in the ceiling of the flow chamber and a grommet 4212 (e.g., of silicone) is fitted into that hole, providing a central passage or bore through which a reference electrode 4220 may be inserted. Baffles or other microfeatures (not shown in FIG. 42 but discussed below in connection with FIG. 42A) may be patterned into the flow channel to promote laminar flow over the microwell array.
  • Achieving a uniform flow front and eliminating problematic flow path areas is desirable for a number of reasons. One reason is that very fast transition of fluid interfaces within the system's flow cell is desired for many applications, particularly gene sequencing. In other words, an incoming fluid must completely displace the previous fluid in a short period of time. Uneven fluid velocities and diffusion within the flow cell, as well as problematic flow paths, can compete with this requirement. Simple flow through a conduit of rectangular cross section can exhibit considerable disparity of fluid velocity from regions near the center of the flow volume to those adjacent the sidewalls, one sidewall being the top surface of the microwell layer and the fluid in the wells. Such disparity leads to spatially and temporally large concentration gradients between the two traveling fluids. Further, bubbles are likely to be trapped or created in stagnant areas like sharp corners interior the flow cell. (The surface energy (hydrophilic vs. hydrophobic) can significantly affect bubble retention. Avoidance of surface contamination during processing and use of a surface treatment to create a more hydrophilic surface should be considered if the as-molded surface is too hydrophobic.) Of course, the physical arrangement of the flow chamber is probably the factor which most influences the degree of uniformity achievable for the flow front.
  • One approach is to configure the flow cross section of the flow chamber to achieve flow rates that vary across the array width so that the transit times are uniform across the array. For example, the cross section of the diffuser (i.e., flow expansion chamber) section 3416, 3610 may be made as shown at 4204A in FIG. 42A, instead of simply being rectangular, as at 4204A. That is, it may have a curved (e.g., concave) wall. The non-flat wall 4206A of the diffuser can be the top or the bottom. Another approach is to configure the effective path lengths into the array so that the total path lengths from entrance to exit over the array are essentially the same. This may be achieved, for example, by placing flow-disrupting features such as cylinders or other structures oriented normal to the flow direction, in the path of the flow. If the flow chamber has as a floor the top of the microwell array and as a ceiling an opposing wall, these flow-disrupting structures may be provided either on the top of the microwell layer or on (or in) the ceiling wall. The structures must project sufficiently into the flow to have the desired effect, but even small flow disturbances can have significant impact. Turning to FIGS. 42B-42F, there are shown diagrammatically some examples of such structures. In FIG. 42B, on the surface of microwell layer 4210B there are formed a series of cylindrical flow disruptors 4214B extending vertically toward the flow chamber ceiling wall 4212B, and serving to disturb laminar flow for the fluid moving in the direction of arrow A. FIG. 42C depicts a similar arrangement except that the flow disruptors 4216C have rounded tops and appear more like bumps, perhaps hemispheres or cylinders with spherical tops. By contrast, in FIG. 42D, the flow disruptors 4218D protrude, or depend, from the ceiling wall 4212B of the flow chamber. Only one column of flow disruptors is shown but it will be appreciated that a plurality of more or less parallel columns typically would be required. For example, FIG. 42E shows several columns 4202E of such flow disruptors (projecting outwardly from ceiling wall 4212B (though the orientation is upside down relative to FIGS. 42B-42D). The spacing between the disruptors and their heights may be selected to influence the distance over which the flow profile becomes parabolic, so that transit time equilibrates.
  • Another configuration, shown in FIGS. 42F and 42F1, involves the use of solid, beam-like projections or baffles 4220F as disruptors. This concept may be used to form a ceiling member for the flow chamber. Such an arrangement encourages more even fluid flow and significantly reduces fluid displacement times as compared with a simple rectangular cross-section without disruptor structure. Further, instead of fluid entry to the array occurring along one edge, fluid may be introduced at one corner 4242F, through a small port, and may exit from the opposite corner, 4244F, via a port in fluid communication with that corner area. The series of parallel baffles 4220F separates the flow volume between input and outlet corners into a series of channels. The lowest fluid resistant path is along the edge of the chip, perpendicular to the baffles. As incoming liquid fills this channel, the fluid is then directed between the baffles to the opposite side of the chip. The channel depth between each baffle pair preferably is graded across the chip, such that the flow is encouraged to travel toward the exit port through the farthest channel, thereby evening the flow front between the baffles. The baffles extend downwardly nearly to the chip (i.e., microwell layer) surface, but because they are quite thin, fluid can diffuse under them quickly and expose the associated area of the array assembly.
  • FIGS. 42F2-42F8 illustrate an example of a single-piece, injection-molded (preferably of polycarbonate) flow cell member 42F200 which may be used to provide baffles 4220F, a ceiling to the flow chamber, fluid inlet and outlet ports and even the reference electrode. FIG. 42F7 shows an enlarged view of the baffles on the bottom of member 42F200 and the baffles are shown as part of the underside of member 42F200 in FIG. 42F6. As it is difficult to form rectangular features in small dimensions by injection molding, the particular instance of these baffles, shown as 4220F′, are triangular in cross section.
  • In FIG. 42F2, there is a top, isometric view of member 42F200 mounted onto a sensor array package 42F300, with a seal 42F202 formed between them and contact pins 42F204 depending from the sensor array chip package. FIGS. 42F3 and 42F4 show sections, respectively, through section lines H-H and I-I of FIG. 42F5, permitting one to see in relationship the sensor array chip 42F250, the baffles 4220F′ and fluid flow paths via inlet 42F260 and outlet 42F270 ports.
  • By applying a metallization to bottom 42F280 of member 42F200, the reference electrode may be formed.
  • Various other locations and approaches may be used for introducing fluid flow into the flow chamber, as well. In addition to embodiments in which fluid may be introduced across the width of an edge of the chip assembly 42F1, as in FIGS. 57-58, for example, or fluid may be introduced at one corner of the chip assembly, as in FIG. 42F1. Fluid also may be introduced, for example, as in FIGS. 42G and 42H, where fluid is flowed through an inlet conduit 4252G to be discharged adjacent and toward the center of the chip, as at 4254G, and flowed radially outwardly from the introduction point.
  • FIGS. 42I and 42J in conjunction with FIGS. 42G and 42H depict in cross-section an example of such a structure and its operation. In contrast with earlier examples, this embodiment contains an additional element, a diaphragm valve, 42601. Initially, as shown in FIG. 42H, the valve 4260I is open, providing a path via conduit 4262I to a waste reservoir (not shown). The open valve provides a low impedance flow to the waste reservoir or outlet. Air pressure is then applied to the diaphragm valve, as in FIG. 42J, closing the low impedance path and causing the fluid flow to continue downwardly through central bore 4264J in member 4266J which forms the ceiling of the flow chamber, and across the chip (sensor) assembly. The flow is collected by the channels at the edges of the sensor, as described above, and exits to the waste output via conduit 4268J.
  • A variation on this idea is depicted in FIGS. 42K-42M, which show fluid being introduced not at the center of the chip assembly, but at one corner, 4272K, instead. It flows across the chip 3412 as symbolically indicated by lines 4274K and is removed at the diagonally opposing corner, 4276K. The advantage of this concept is that it all but eliminates any stagnation points. It also has the advantage that the sensor array can be positioned vertically so that the flow is introduced at the bottom and removed at the top to aid in the clearance of bubbles. This type of embodiment, by the way, may be considered as one quadrant of the embodiments with the flow introduced in the center of the array. An example of an implementation with a valve 4278L closed and shunting flow to the waste outlet or reservoir is shown in FIG. 42L. The main difference with respect to the embodiment of FIGS. 42I and 42J is that the fluid flow is introduced at a corner of the array rather than at its center.
  • In all cases, attention should be given to assuring a thorough washing of the entire flow chamber, along with the microwells, between reagent cycles. Flow disturbances may exacerbate the challenge of fully cleaning out the flow chamber.
  • Flow disturbances may also induce or multiply bubbles in the fluid. A bubble may prevent the fluid from reaching a microwell, or delay its introduction to the microwell, introducing error into the microwell reading or making the output from that microwell useless in the processing of outputs from the array. Thus, care should be taken in selecting configurations and dimensions for the flow disruptor elements to manage these potential adverse factors. For example, a tradeoff may be made between the heights of the disruptor elements and the velocity profile change that is desired.
  • FIGS. 43-44 show another alternative flow cell design, 4310. This design relies on the molding of a single plastic piece or member 4320 to be attached to the chip to complete the flow cell. The connection to the fluidic system is made via threaded connections tapped into appropriate holes in the plastic piece at 4330 and 4340. Or, if the member 4320 is made of a material such as polydimethylsiloxane (PDMS), the connections may be made by simply inserting the tubing into an appropriately sized hole in the member 4320. A vertical cross section of this design is shown in FIGS. 43-44. This design may use an overhanging plastic collar 4350 (which may be a solid wall as shown or a series of depending, spaced apart legs forming a downwardly extending fence-like wall) to enclose the chip package and align the plastic piece with the chip package, or other suitable structure, and thereby to alignment the chip frame with the flow cell forming member 4320. Liquid is directed into the flow cell via one of apertures 4330, 4340, thence downwardly towards the flow chamber.
  • In the illustrated embodiment, the reference electrode is introduced to the top of the flow chamber via a bore 4325 in the member 4320. The placement of the removable reference electrode is facilitated by a silicone sleeve 4360 and an epoxy stop ring 4370 (see the blow-up of FIG. 44). The silicone sleeve provides a tight seal and the epoxy stop ring prevent the electrode from being inserted too far into the flow cell. Of course, other mechanisms may be employed for the same purposes, and it may not be necessary to employ structure to stop the electrode. And if a material such as PDMS is used for member 4320, the material itself may form a watertight seal when the electrode is inserted, obviating need for the silicone sleeve.
  • FIGS. 45 and 46 show a similar arrangement except that member 4510 lacks a bore for receiving a reference electrode. Instead, the reference electrode 4515 is formed on or affixed to the bottom of central portion 4520 and forms at least part of the flow chamber ceiling. For example, a metallization layer may be applied onto the bottom of central portion 4520 before member 4510 is mounted onto the chip package.
  • FIGS. 47-48 show another example, which is a variant of the embodiment shown in FIGS. 43-44, but wherein the frame is manufactured as part of the flow cell rather attaching a flow port structure to a frame previously attached to the chip surface. In designs of this type, assembly is somewhat more delicate since the wirebonds to the chip are not protected by the epoxy encapsulating the chip. The success of this design is dependent on the accurate placement and secure gluing of the integrated “frame” to the surface of the chip. A counterpart embodiment to that of FIGS. 45-46, with the reference electrode 4910 on the ceiling of the flow chamber, and with the frame manufactured as part of the flow cell, is shown in FIGS. 49-50.
  • Yet another alternative for a fluidics assembly, as shown in FIGS. 51-52, has a fluidics member 5110 raised by about 5.5 mm on stand-offs 5120 from the top of the chip package 5130. This allows for an operator to visually inspect the quality of the bonding between plastic piece 5140 and chip surface and reinforce the bonding externally if necessary.
  • Some of the foregoing alternative embodiments also may be implemented in a hybrid plastic/PDMS configuration. For example, as shown in FIGS. 53-54, a plastic part 5310 may make up the frame and flow chamber, resting on a PDMS “base” portion 5320. The plastic part 5310 may also provides a region 5330 to the array, for expansion of the fluid flow from the inlet port; and the PDMS part may then include communicating slits 5410, 5412 through which liquids are passed from the PDMS part to and from the flow chamber below.
  • The fluidic structure may also be made from glass as discussed above, such as photo-definable (PD) glass. Such a glass may have an enhanced etch rate in hydrofluoric acid once selectively exposed to UV light and features may thereby be micromachined on the top-side and back-side, which when glued together can form a three-dimensional low aspect ratio fluidic cell.
  • An example is shown in FIG. 55. A first glass layer or sheet 5510 has been patterned and etched to create nanoport fluidic holes 5522 and 5524 on the top-side and fluid expansion channels 5526 and 5528 on the back-side. A second glass layer or sheet 5530 has been patterned and etched to provide downward fluid input/ output channels 5532 and 5534, of about 300 μm height (the thickness of the layer). The bottom surface of layer 5530 is thinned to the outside of channels 5532 and 5534, to allow the layer 5530 to rest on the chip frame and protrusion area 5542 to be at an appropriate height to form the top of the flow channel. Two glass layers, or wafers, and four lithography steps required. Both wafers should be aligned and bonded (e.g., with an appropriate glue, not shown) such that the downward fluid input/output ports are aligned properly with the fluid expansion channels. Alignment targets may be etched into the glass to facilitate the alignment process.
  • Nanoports may be secured over the nanoport fluidic holes to facilitate connection of input and output tubing.
  • A central bore 5550 may be etched through the glass layers for receiving a reference electrode, 5560. The electrode may be secured and sealed in place with a silicone collar 5570 or like structure; or the electrode may be equipped integrally with a suitable washer for effecting the same purpose.
  • By using glass materials for the two-layer fluidic cell, the reference electrode may also be a conductive layer or pattern deposited on the bottom surface of the second glass layer (not shown). Or, as shown in FIG. 56, the protrusion region may be etched to form a permeable glass membrane 5610 on the top of which is coated a silver (or other material) thin-film 5620 to form an integrated reference electrode. A hole 5630 may be etched into the upper layer for accessing the electrode and if that hole is large enough, it can also serve as a reservoir for a silver chloride solution. Electrical connection to the thin-film silver electrode may be made in any suitable way, such as by using a clip-on pushpin connector or alternatively wirebonded to the ceramic ISFET package.
  • Another alternative is to integrate the reference electrode to the sequencing chip/flow cell by using a metalized surface on the ceiling of the flow chamber—i.e., on the underside of the member forming the ceiling of the fluidic cell. An electrical connection to the metalized surface may be made in any of a variety of ways, including, but not limited to, by means of applying a conductive epoxy to the ceramic package seal ring that, in turn, may be electrically connected through a via in the ceramic substrate to a spare pin at the bottom of the chip package. Doing this would allow system-level control of the reference potential in the fluid cell by means of inputs through the chip socket mount to the chip's control electronics.
  • By contrast, an externally inserted electrode requires extra fluid tubing to the inlet port, which requires additional fluid flow between cycles.
  • Ceramic pin grid array (PGA) packaging may be used for the ISFET array, allowing customized electrical connections between various surfaces on the front face with pins on the back.
  • The flow cell can be thought of as a “lid” to the ISFET chip and its PGA. The flow cell, as stated elsewhere, may be fabricated of many different materials. Injection molded polycarbonate appears to be quite suitable. A conductive metal (e.g., gold) may be deposited using an adhesion layer (e.g., chrome) to the underside of the glow cell roof (the ceiling of the flow chamber). Appropriate low-temperature thin-film deposition techniques preferably are employed in the deposition of the metal reference electrode due to the materials (e.g., polycarbonate) and large step coverage topography at the bottom-side of the fluidic cell (i.e., the frame surround of ISFET array). One possible approach would be to use electron-beam evaporation in a planetary system.
  • The active electrode area is confined to the central flow chamber inside the frame surround of the ISFET array, as that is the only metalized surface that would be in contact with the ionic fluid during sequencing.
  • Once assembly is complete—conductive epoxy (e.g., Epo-Tek H20E or similar) may be dispensed on the seal ring with the flow cell aligned, placed, pressed and cured—the ISFET flow cell is ready for operation with the reference potential being applied to the assigned pin of the package.
  • The resulting fluidic system connections to the ISFET device thus incorporate shortened input and output fluidic lines, which is desirable.
  • Still another example embodiment for a fluidic assembly is shown in FIGS. 57-58. This design is limited to a plastic piece 5710 which incorporates the frame and is attached directly to the chip surface, and to a second piece 5720 which is used to connect tubing from the fluidic system and similarly to the PDMS piece discussed above, distributes the liquids from the small bore tube to a wide flat slit. The two pieces are glued together and multiple (e.g., three) alignment markers (not shown) may be used to precisely align the two pieces during the gluing process. A hole may be provided in the bottom plate and the hole used to fill the cavity with an epoxy (for example) to protect the wirebonds to the chip and to fill in any potential gaps in the frame/chip contact. In the illustrated example, the reference electrode is external to the flow cell (downstream in the exhaust stream, through the outlet port—see below), though other configurations of reference electrode may, of course, be used.
  • Still further examples of flow cell structures are shown in FIGS. 59-60. FIG. 59A comprises eight views (A-H) of an injection molded bottom layer, or plate, 5910, for a flow cell fluidics interface, while FIG. 59B comprises seven views (A-G) of a mating, injection molded top plate, or layer, 5950. The bottom of plate 5910 has a downwardly depending rim 5912 configured and arranged to enclose the sensor chip and an upwardly extending rim 5914 for mating with the top plate 5610 along its outer edge. To form two fluid chambers (an inlet chamber and an outlet chamber) between them. A stepped, downwardly depending portion 5960 of top plate 5950, separates the input chamber from the output chamber. An inlet tube 5970 and an outlet tube 5980 are integrally molded with the rest of top plate 5950. From inlet tube 5970, which empties at the small end of the inlet chamber formed by a depression 5920 in the top of plate 5910, to the outlet edge of inlet chamber fans out to direct fluid across the whole array.
  • Whether glass or plastic or other material is used to form the flow cell, it may be desirable, especially with larger arrays, to include in the inlet chamber of the flow cell, between the inlet conduit and the front edge of the array, not just a gradually expanding (fanning out) space, but also some structure to facilitate the flow across the array being suitably laminar. Using the bottom layer 5990 of an injection molded flow cell as an example, one example type of structure for this purpose, shown in FIG. 59C, is a tree structure 5992 of channels from the inlet location of the flow cell to the front edge of the microwell array or sensor array, which should be understood to be under the outlet side of the structure, at 5994.
  • The above-described systems typically utilize a laminar fluid flow system. In part, the fluid flow system preferably includes a flow chamber formed by the sensor chip and a single piece, injection molded member comprising inlet and outlet ports and mountable over the chip to establish the flow chamber. The surface of such member interior to the chamber is preferably formed to facilitate a desired expedient fluid flow, as described herein.
  • In some embodiments, the invention encompasses an apparatus for detection of pH comprising a laminar fluid flow system. Preferably, the apparatus is used for sequencing a plurality of nucleic acid templates present in an array.
  • The apparatus typically includes a fluidics assembly comprising a member comprising one or more apertures for non-mechanically directing a fluid to flow to an array of at least 100 K (100 thousand), 500 K (500 thousand), or 1 M (1 million) microfluidic reaction chambers such that the fluid reaches all of the microfluidic reaction chambers at the same time or substantially the same time. Typically, the fluid flow is parallel to the sensor surface. Typically, the assembly has a Reynolds number of less than 1000, 500, 200, 100, 50, 20, or 10. Preferably, the member further comprises a first aperture for directing fluid towards the sensor array and a second aperture for directing fluid away from the sensor array.
  • In some embodiments, the invention encompasses a method for directing a fluid to a sensor array comprising: providing a fluidics assembly comprising an aperture fluidly coupling a fluid source to the sensor array; and non-mechanically directing a fluid to the sensor array. By “non-mechanically” it is meant that the fluid is moved under pressure from a gaseous pressure source, as opposed to a mechanical pump.
  • In some embodiments, the invention encompasses an array of wells, each of which is coupled to a lid having an inlet port and an outlet port and a fluid delivery system for delivering and removing fluid from said inlet and outlet ports non-mechanically.
  • In some embodiments, the invention encompasses a method for sequencing a biological polymer such as a nucleic acid utilizing the above-described apparatus, comprising: directing a fluid comprising a monomer to an array of reaction chambers wherein the fluid has a fluid flow Reynolds number of at most 2000, 1000, 200, 100, 50, or 20. The method may optionally further comprise detecting a pH or a change in pH from each said reaction chamber. This is typically detected by ion diffusion to the sensor surface. There are various other ways of providing a fluidics assembly for delivering an appropriate fluid flow across the microwell and sensor array assembly, and the forgoing examples are thus not intended to be exhaustive.
  • Reference Electrode
  • Commercial flow-type fluidic electrodes, such as silver chloride proton-permeable electrodes, may be inserted in series in a fluidic line and are generally designed to provide a stable electrical potential along the fluidic line for various electrochemical purposes. In the above-discussed system, however, such a potential must be maintained at the fluidic volume in contact with the microwell ISFET chip. With conventional silver chloride electrodes, it has been found difficult, due to an electrically long fluidic path between the chip surface and the electrode (through small channels in the flow cell), to achieve a stable potential. This led to reception of noise in the chip's electronics. Additionally, the large volume within the flow cavity of the electrode tended to trap and accumulate gas bubbles that degraded the electrical connection to the fluid. With reference to FIG. 60, a solution to this problem has been found in the use of a stainless steel capillary tube electrode 6010, directly connected to the chip's flow cell outlet port 6020 and connected to a voltage source (not shown) through a shielded cable 6030. The metal capillary tube 6010 has a small inner diameter (e.g., on the order of 0.01″) that does not trap gas to any appreciable degree and effectively transports fluid and gas like other microfluidic tubing. Also, because the capillary tube can be directly inserted into the flow cell port 6020, it close to the chip surface, reducing possible electrical losses through the fluid. The large inner surface area of the capillary tube (typically about 2″ long) may also contribute to its high performance. The stainless steel construction is highly chemically resistant, and should not be subject to electrochemical effects due to the very low electrical current use in the system (<1 μA). A fluidic fitting 6040 is attached to the end of the capillary that is not in the flow cell port, for connection to tubing to the fluid delivery and removal subsystem.
  • Fluidics System
  • A complete system for using the sensor array will include suitable fluid sources, valving and a controller for operating the valving to low reagents and washes over the microarray or sensor array, depending on the application. These elements are readily assembled from off-the-shelf components, with and the controller may readily be programmed to perform a desired experiment.
  • It should be understood that the readout at the chemFET may be current or voltage (and change thereof) and that any particular reference to either readout is intended for simplicity and not to the exclusion of the other readout. Therefore any reference in the following text to either current or voltage detection at the chemFET should be understood to contemplate and apply equally to the other readout as well. In important embodiments, the readout reflects a rapid, transient change in concentration of an analyte. The concentration of more than one analyte may be detected at different times. In some instances, such measurements are to be contrasted with methods that focus on steady state concentration measurements.
  • Biological and Chemical Reactions
  • As already discussed, the apparatus, systems and methods of the invention can be used to detect and/or monitor interactions between various entities. These interactions include biological and chemical reactions and may involve enzymatic reactions and/or non-enzymatic interactions such as but not limited to binding events. As an example, the invention contemplates monitoring enzymatic reactions in which substrates and/or reagents are consumed and/or reaction intermediates, byproducts and/or products are generated. An example of a reaction that can be monitored according to the invention is a nucleic acid synthesis method such as one that provides information regarding nucleic acid sequence. This reaction will be discussed in greater detail herein.
  • Nucleic Acid Sequencing
  • In the context of a sequencing reaction, the apparatus and system provided herein is able to detect nucleotide incorporation based on changes in the chemFET current and/or voltage, as those latter parameters are interrelated. Current changes may be the result of one or more of the following events either singly or some combination thereof: generation of hydrogen (and concomitant changes in pH for example in the presence of low strength buffer or no buffer), generation of PPi, generation of Pi (e.g., in the presence of pyrophosphatase), increased charge of nucleic acids attached to the chemFET surface, and the like.
  • As discussed herein, the invention contemplates methods for determining the nucleotide sequence of a nucleic acid. Such methods involve the synthesis of a new nucleic acid (e.g., using a primer that is hybridized to a template nucleic acid or a self-priming template, as will be appreciated by those of ordinary skill), based on the sequence of a template nucleic acid. That is, the sequence of the newly synthesized nucleic acid is complimentary to the sequence of the template nucleic acid and therefore knowledge of sequence of the newly synthesized nucleic acid yields information about the sequence of the template nucleic acid.
  • More specifically, knowledge of the sequence of the newly synthesized nucleic acid is obtained by determining whether a known nucleotide has been incorporated into the newly synthesized nucleic acid and, if so, how many of such known nucleotides have been incorporated. Importantly, the order in which the known nucleotides are added to the reaction mixture is known and thus the order of incorporated nucleotides (if any) is also known. In an illustrative embodiment, a template hybridized to a primer is contacted with a first pool of identical known nucleotides (e.g., dATP) in the presence of polymerase. If the next available position on the template is a thymidine residue, then the dATP is incorporated into the primed nucleic acid strand and a signal is detected for example based on hydrogen release. If the next available position is not a thymidine residue, then the dATP will not incorporate and no signal will be detected because no hydrogen will be released. If the next availableposition and one or more contiguous positions thereafter are thymidine residues, then a corresponding number of dATP will be incorporated and a signal commensurate with the number of nucleotides incorporated will be detected. The reaction well or chamber is then washed to remove unincorporated nucleotides and released hydrogen, following which another pool of identical known nucleotides (e.g., dCTP) is added. The process is repeated until all four nucleotides are separately added to the reaction well (i.e., one cycle), and then the cycles are repeated. The cycles may be repeated for 50 times, 100 times, 200 times, 300 times, 400 times, 500 times, 750 times, or more, depending on the length of sequence information desired.
  • Nucleotide incorporation can be monitored in a number of ways, including the production of products such as PPi, Pi and/or H. The incorporation of a dNTP into the nucleic acid strand releases PPi which can then be hydrolyzed to two orthophosphates (Pi) and one hydrogen ion (FIG. 61A). The generation of the hydrogen ion therefore can be detected as an indicator of nucleotide incorporation. Alternatively, Pi may be detected directly or indirectly.
  • Alternatively, when templates or primers are attached to the sensor surface, nucleotide incorporation is detected based on an increase in charge (typically, negative charge) of the template, primer or template/primer complex. Templates may be bound to the chemFET surface or they may be hybridized to primers that are bound to the chemFET surface. Primers hybridized to the templates can be extended in the presence of polymerase and one or a combination of known nucleotides. Nucleotide incorporation is detected by increases in charge at the chemFET surface that result from the addition of phosphodiester backbone linkages that carry negative charges. Thus, with each successive addition of a nucleotide, the negative charge of the immobilized nucleic acid increases, and this increase can be detected by the chemFET. The number of nucleotide incorporations that can be detected in this manner may be at least 10, at least 20, at least 30, at least 40, at least 50, at least 60, at least 70, at least 80, at least 90, at least 100, or more. The invention contemplates that in this instance nucleotide incorporation can be detected by measuring change in charge at the chemFET surface as well as released hydrogen ions that come into contact with the chemFET.
  • Any and all of these events (and more as described herein) may be detected at the chemFET thereby causing a current change that correlates with nucleotide incorporation.
  • The systems described herein can be used for sequencing nucleic acids without optical detection. Preferably, at least 106 base pairs are sequenced per hour, more preferably at least 107 base pairs are sequenced per hour, and most preferably at least 108 base pairs are sequenced per hour using the above-described method. Thus, the method may be used to sequence an entire human genome within about 24 hours, more preferably within about 20 hours, even more preferably within about 15 hours, even more preferably within about 10 hours, even more preferably within about 5 hours, and most preferably within about 1 hour. These rates may be achieved using multiple ISFET arrays as shown herein, and processing their outputs in parallel.
  • pH Based Nucleic Acid Sequencing
  • Reduced Buffering
  • Certain aspects of the invention therefore relate to detecting hydrogen ions released as a function of nucleotide incorporation and in some embodiments as a function of nucleotide excision. It is important in these and various other aspects to detect as many released hydrogen ions as possible in order to achieve as high a signal (and/or a signal to noise ratio) as possible. Strategies for increasing the number of released protons that are ultimately detected by the chemFET surface include without limitation limiting interaction of released protons with reactive groups in the well, choosing a material from which to manufacture the well in the first instance that is relatively inert to protons, preventing released protons from exiting the well prior to detection at the chemFET, and increasing the copy number of templates per well (in order to amplify the signal from each nucleotide incorporation), among others.
  • Some instances of the invention employ an environment, including a reaction solution, that is minimally buffered, if at all. Buffering can be contributed by the components of the solution or by the solid supports in contact with such solution. A solution having no or low buffering capacity (or activity) is one in which changes in hydrogen ion concentration on the order of at least about +/−0.005 pH units, at least about +/−0.01, at least about +/−0.015, at least about +/−0.02, at least about +/−0.03, at least about +/−0.04, at least about +/−0.05, at least about +/−0.10, at least about +/−0.15, at least about +/−0.20, at least about +/−0.25, at least about +/−0.30, at least about +/−0.35, at least about +/−0.45, at least about +/−0.50, or more are detectable (e.g., using the chemFET sensors described herein). In some embodiments, the pH change per nucleotide incorporation is on the order of about 0.005. In some embodiments, the pH change per nucleotide incorporation is a decrease in pH. Reaction solutions that have no or low buffering capacity may contain no or very low concentrations of buffer, or may use weak buffers.
  • A buffer is an ionic molecule (or a solution comprising an ionic molecule) that resists, to varying extents, changes in pH. Buffers include without limitation Tris, tricine, phosphate, boric acid, borate, acetate, morpholine, citric acid, carbonic acid, and phosphoric acid. The strength of a buffer is a relative term since it depends on the nature, strength and concentration of the acid or base added to or generated in the solution of interest. A weak buffer is a buffer that allows detection (and therefore is not able to control or mask) pH changes on the order of those listed above.
  • The reaction solution may have a buffer concentration equal to or less than 1 mM, equal to or less than 0.9 mM, equal to or less than 0.8 mM, equal to or less than 0.7 mM, equal to or less than 0.6 mM, equal to or less than 0.5 mM, equal to or less than 0.4 mM, equal to or less than 0.3 mM, equal to or less than 0.2 mM, equal to or less than 0.1 mM, or less including zero. The buffer concentration may be 50-100 μM. A non-limiting example of a weak buffer suitable for the sequencing reactions described herein wherein pH change is the readout is 0.1 mM Tris or Tricine.
  • In some aspects, in addition to or instead of using reduced buffering solutions, nucleotide incorporation (and optionally excision) is carried out in the presence of additional agents which serve to shield potential buffering events that may occur in solution. These agents are referred to herein as buffering inhibitors since they inhibit the ability of components within a solution or a solid support in contact with the solution to sequester and/or otherwise interfere with released hydrogen ions prior to their detection by the chemFET surface. In the absence of such inhibitors, released hydrogen ions may interact with or be sequestered by reactive groups in the solution or on solid supports in contact with the solution. These hydrogen ions are less likely to reach and be detected by the chemFET surface, leading to a weaker signal than is otherwise possible. In the presence of such inhibitors however there will be fewer reactive groups available for interaction with or sequestration of hydrogen ions. As a result, a greater proportion of released hydrogen ions will reach and be detected by the chemFET surface, leading to stronger signals. Reactive groups that can interfere with released hydrogen ions include without limitation reactive groups such as free bases on single stranded nucleic acids and Si—OH groups that may be present in the passivation layer. Some suitable buffering inhibitors demonstrate little or no buffering capacity in the pH range of 5-9, meaning that pH changes on the order of 0.005, 0.01, 0.02, 0.03, 0.04, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5 or more pH units are detectable (e.g., by using an ISFET) in the presence of such inhibitors:
  • There are various types of buffering inhibitors. One example of a buffering agent is an agent that binds to single stranded nucleic acids (or single stranded nucleic acid regions, as may occur in a template nucleic acid) thereby shielding reactive groups such as free bases. These agents may be RNA oligonucleotides (or RNA oligomers, or oligoribonucleotides, as they are referred to herein interchangeably) having complementary sequences to the afore-mentioned single stranded regions of template nucleic acids. RNA oligonucleotides are useful because they are not able to serve as primers for a sequencing reaction as compared to DNA oligonucleotides. In order to bind to (or shield the effects of) as much of a single stranded nucleic acid as possible, a plurality (or set, or mixture) of RNA oligonucleotides can be used. As an example, a set of RNA oligonucleotides that are 2, 3, 4, 5, 6, or more nucleotides in length can be used together with single stranded templates. The short length of these RNA oligonucleotides allows them to be displaced by the polymerase as it progresses along with the length of the nucleic acid template. Such displacement does not require exonuclease activity from the polymerase. Typically, the RNA oligonucleotides are of random sequence. In some embodiments, this is preferred as no prior knowledge of the sequence of the single stranded region of the template is required. FIGS. 61B and 61C illustrate the difference in ion detection at an ISFET in the presence or absence of a RNA hexamer bound to a single stranded template.
  • Another example of a class of buffering inhibitors is phospholipids. The phospholipids may be naturally occurring or non-naturally occurring phospholipids. Examples of phospholipids that may be used as buffering inhibitors include but are not limited to'phosphatidylcholine, phosphatidylethanolamine, phosphatidylglycerol, and phosphatidylserine.
  • Another example of a buffering inhibitor is sulfonic acid based surfactants such as poly(ethylene glycol) 4-nonylphenyl 3-sulfopropyl ether (PNSE), the potassium salt of which is shown in FIG. 61D. In addition to shielding reactive groups that would otherwise interfere with released protons, PNSE has also been reported to enhance polymerase activity.
  • Another example of a buffering inhibitor is polyanionic electrolytes such as poly(styrenesulfonic acid), the sodium salt of which is shown in FIG. 61E.
  • Another example of a buffering inhibitor is polycationic electrolytes such as poly(diallydimethylammonium), the chloride salt of which is shown in FIG. 61F. These compounds are known to bind to DNA.
  • Another example of a buffering inhibitor is tetramethyl ammonium, the chloride salt of which is shown in FIG. 61G.
  • These various inhibitors may be present throughout a reaction by being included in nucleotide solutions, wash solutions, and the like. Alternatively, they may be flowed through the chamber at set times relative to the flow through of nucleotides and/or other reaction reagents. In still other embodiments, they may be coated on the chemFET surface (or reaction chamber surface). Such coating may be covalent or non-covalent.
  • Another way of reducing the buffering capacity in the reaction well is to covalently attach nucleic acids to capture beads, in embodiments in which capture beads are used. Such covalent attachment is in contrast to non-covalent methods described herein that include for example biotin, streptavidin interactions. In these latter embodiments, biotinylated primers can be attached to streptavidin coated beads, followed by hybridization to template. However, streptavidin, like other proteins, is capable of buffering, and therefore its presence would interfere with the detection of hydrogen ions released as a consequence of nucleotide incorporation. Thus, the invention also contemplates in some instances approaches that do not rely on streptavidin in the attachment mechanism. One such alternative involves covalently coupling primers to beads (and/or other solid supports such as the chemFET surface). Covalently coupling primers to such solid supports serves at least two purposes. First, it eliminates the need for proteins, such as streptavidin, that comprise functional side groups (such as primary, secondary or tertiary amines and carboxylic acids) that can buffer pH changes in the range of pH 5-9. Second, it serves to increase the number of templates that can be conjugated to the solid support, such as a single bead, by reducing steric hindrance effects that may exist when using bulky proteins such as streptavidin. In still other embodiments, templates may be directly conjugated covalently to solid supports such as beads.
  • Primers can be covalently coupled to beads in any number of ways, several of which are shown in FIGS. 61H and 61I or described in Steinberg et al. Biopolymers 73:597-605, 2004, as an example. Reactive groups that can be used to conjugate primers to beads include epoxide, tosyl, amino and carboxyl groups. In addition, beads having a silica surface, as discussed below, can be used with chlorophyl, azide, and alkyne reactive groups. In some embodiments, the preferred combination is a polymer core bead with a polymer surface using tosyl reactive groups.
  • Increasing the number of templates or primers (i.e., copy number) results in a greater number of nucleotide incorporations per sensor and/or per reaction chamber, thereby leading to a higher signal and thus signal to noise ratio. Copy number can be increased for example by using templates that are concatemers (i.e., nucleic acids comprising multiple, tandemly arranged, copies of the nucleic acid to be sequenced), by increasing the number of nucleic acids on or in beads up to and including saturating such beads, and by attaching templates or primers to beads or to the sensor surface in ways that reduce steric hindrance and/or ensure template attachment (e.g., by covalently attaching templates), among other things. Concatemer templates may be immobilized on or in beads or on other solid supports such as the sensor surface, although in some embodiments concatemers templates may be present in a reaction chamber without immobilization. For example, the templates (or complexes comprising templates and primers) may be covalently or non-covalently attached to the chemFET surface and their sequencing may involve detection of released hydrogen ions and/or addition of negative charge to the chemFET surface upon a nucleotide incorporation event. The latter detection scheme may be performed in a buffered environment or solution (i.e., any changes in pH will not be detected by the chemFET and thus such changes will not interfere with detection of negative charge addition to the chemFET surface).
  • For some aspects described herein, it is important that buffering capacity not be affected in the process of increasing copy number. Thus, various methods are provided for increasing copy number using strategies and/or linkers that do not impact the buffering capacity of the environment. In some instances, the functional groups, linkers and/or polymers themselves have no or limited buffering capacity, and their use does not obscure the detection of hydrogen ions released as a result of nucleotide incorporation or excision, as the case may be.
  • Increasing copy number may also be accomplished by increasing the number of attachment points for primers (or templates). Some of these methodologies are described below.
  • In one embodiment, the solid support is coated with a polymer such as polyethylene glycol (PEG) which does not comprise functional groups that interact with the primer and its functional groups, except as provided below for initially attaching primer. PEG linkers of varying lengths can be used so that primers can be attached at varying distances from the solid support surface, thereby decreasing the amount of steric hindrance that may otherwise exist between primers and the complexes they ultimately form (e.g., primer/template hybrids). The solid supports can be coated one or more times with a mixture of 2, 3, 4, or more PEG linkers of differing lengths. The end result is an increased distance between ends of PEG linkers attached to the solid support. Attachment of primers to the PEG linkers can be accomplished using any reactive groups known in the art. As an example, click chemistry can be used between azide groups on the ends of PEG linkers and alkyde groups on the primers.
  • In another embodiment, polymers having preferably more than one functional (or reactive) group are used. Each of the functional groups is available for conjugation with a separate primer. Useful polymers in this regard include those having hydroxyl groups, amine groups, thiol groups, and the like. Examples of suitable polymers include dextran and chitosan. Linear or branched forms of these polymers may be used. An example of a branched polymer with multiple functionalities is branched dextran. It will be apparent to those of ordinary skill in the art than any chimeric polymer or copolymer may also be used provided it has a sufficient number of functional groups for primer attachment.
  • Yet another embodiment involves the use of dendrimers and preferably higher order dendrimers to bind primer. Dendrimers are three-dimensional complexes that can be made having any functional group. Examples of dendrimers include the PAMAM dendrimers, an example of which is CAS No. 163442-69-1 which has 256 amine groups. Dendrimers are commercially available from sources such as Sigma-Aldrich and Dendritic Nanotechnologies Inc. It will be understood that dendrimers with other functional groups also can be used.
  • The invention further contemplates the use of any combination of the above embodiments for maximizing the number of primers attached to a solid support. Thus for example the solid support surface may be coated one or more times (e.g., once or twice) with the PEG linkers of varying lengths, and to such linkers may be attached multifunctionality polymers such as dextran or chitosan (in either linear or branched form), followed by attachment of primers. As another example, dendrimers may be attached to the PEG linkers, followed by primer attachment to the dendrimers.
  • In still another embodiment, the invention contemplates coating the solid support surface with a population of self-assembling monomers some proportion of which are bound to primers. As an example, the monomers may be acrylamide monomers some of which are attached to primers. The end result is a solid support having a polyacrylamide coating with interspersed primers. The density of primers bound to the solid support can be manipulated by changing the ratio of monomers that have primers and monomers that lack primers. This strategy has been reported by Rehman et al. Nucleic Acids Research, 1999, 27(2):649-655.
  • Still other methods for attaching nucleic acids to beads are taught by Lund et al., Nucleic Acids Research, 1988, 16(22):10861-10880, Joos et al. Anal Biochem, 1997, 247:96-101, Steinberg et al. Biopolymers, 2004, 73:597-605, and Steinberg-Tatman et al. Bioconjugate Chem 2006 17:841-848.
  • Beads can be made of any material including but not limited to cellulose, cellulose derivatives, gelatin, acrylic resins, glass, silica gels, polyvinyl pyrrolidine (PVP), co-polymers of vinyl and acrylamide, polystyrene, polystyrene cross-linked with divinylbenzene or the like (see, Merrifield Biochemistry 1964, 3, 1385-1390), polyacrylamides, latex gels, dextran, crosslinked dextrans (e.g., Sephadex™), rubber, silicon, plastics, nitrocellulose, natural sponges, metal, and agarose gel (Sepharose™). In one embodiment, the beads are streptavidin-coated beads.
  • Beads suitable for covalent attachment may be magnetic or non-magnetic in nature. They may have a polymer core with a polymer surface, a polymer core with a silica surface, and a silica core with a silica surface. The bead core may be hollow, porous, or solid, as described below.
  • The bead diameter will depend on the density of the chemFET and microwell arrays used, with larger arrays (and thus smaller sized wells) requiring smaller beads. Generally the bead size may be about 1-10 microns, and more preferably 2-6 microns. In some embodiments, the beads are about 5.9 microns while in other embodiments the beads are about 2.8 microns. In still other embodiments, the beads are about 1.5 microns, or about 1 micron in diameter. In some embodiments, beads having a diameter that ranges from about 3.3 to 3.5 microns may be used for reaction well arrays having a pitch on the order of about 5.1 microns. In other embodiments, beads having a diameter that ranges from about 5 to 6.5 microns may be used for reaction well arrays having a pitch on the order to about 9 microns. It is to be understood that the beads may or may not be perfectly spherical in shape. It is also to be understood that other beads may be used and other mechanisms for attaching the nucleic acid to the beads may be used. In some instances the capture beads (i.e., the beads on which the sequencing reaction occurs) are the same as the template preparation beads including the amplification beads. In some instances, even where non-covalent attachment is contemplated, a spacer is used to distance the template nucleic acid (and in particular the target nucleic acid sequence comprised therein) from a solid support such as a bead. This facilitates sequencing of the end of the target closest to the bead, for instance. Examples of suitable linkers are known in the art (see Diehl et al. Nature Methods, 2006, 3(7):551-559) and include but are not limited to carbon-carbon linkers such as but not limited to iSp18. Beads can be purchased from commercial suppliers such as Bangs, Dynal and Micromod. Additional spacers and nucleic acid attachment mechanisms are discussed above.
  • As stated above, some beads may be solid while others may be porous or hollow. These beads will have a porous surface such that reagents from the reaction solution may move into and out of the bead These may have empty channels or hollow cores that comprise at least 10%, at least 20%, at least 30%, at least 40%, at least 50%, at least 60%, at least 70%, at least 80%, at least 90% of the bead volume. These beads will be referred to herein as porous beads, porous microparticles, or capsules in view of their non-solid cores, and these terms are intended to embrace porous as well as hollow beads regardless of diameter or volume. They may or may not be spherical.
  • The invention contemplates the use of such porous beads in the various sequencing methods described herein. More specifically, the invention contemplates sequencing nucleic acids that are present in porous beads. Porous beads may be generated by methods known in the art. See for example Mak et al. Adv. Funct. Mater. 2008 18:2930-2937; Morimoto et al. MEMS 2008 Tucson Ariz. USA Jan. 13-17, 2008 Poster Abstract 304-307; Lee et al. Adv. Mater. 2008 20:3498-3503; Martin-Banderas et al. Small. 2005 1(7):688-92; and published PCT application WO03/078659.
  • Porous microparticles may be initially generated to contain a single template nucleic acid which is later amplified with all amplified copies of the nucleic acid being retained in the microparticle. Amplification may occur before or while the bead is in contact with a chemFET array, and/or optionally in a reaction chamber. If performed before contact with the chemFET array, beads that have successfully undergone amplification can be selected and thereby enriched. As an example, beads having amplified nucleic acids can be separated from other beads based on density. Amplification may be isothermal or PCR amplification, or other means of amplification, as the invention is not to be limited in this regard. The beads may contain at least two types of enzymes such as two types of polymerases. For example, the beads may contain one type of polymerase that is suitable for amplification of the nucleic acid and a second type of polymerase that is suitable for sequencing the amplified nucleic acids. The beads preferably contain a plurality of both types of polymerases and preferably the number of each polymerase will be in excess of a saturating amount so as not to create a polymerase-limited environment. Once amplification is completed, the amplification polymerase may be inactivated, while maintaining the activity of the sequencing polymerase. Typically, the enzymes and nucleic acids will be retained in the bead while smaller compounds, such as dNTPs and other nucleic acid synthesis reagents and cofactors, are allowed to diffuse into and out of the bead. Importantly for the invention, synthesis byproducts such as PPi and hydrogen ions will also diffuse out of the beads, in order to be detected by the chemFET.
  • Nick Translation
  • The invention provides, in various other aspects, other modes for analyzing, including for example sequencing, nucleic acids using reactions that involve interdependent nucleotide incorporation and nucleotide excision. As used herein, interdependent nucleotide incorporation and nucleotide excision means that both reactions occur on the same nucleic molecule at contiguous sites on the nucleic acid, and one reaction facilitates the other.
  • An example of such a reaction is a nick translation reaction. A nick translation reaction, as used herein, refers to a reaction catalyzed by a polymerase enzyme having 5′ to 3′ exonuclease activity, that involves incorporation of a nucleotide onto the free 3′ end of a nicked region of double stranded DNA and excision of a nucleotide located at the free 5′ end of the nicked region of the double stranded DNA. Nick translation therefore refers to the movement of the nicked site along the length of the nicked strand of DNA in a 5′ to 3′ direction. As will be recognized by those of ordinary skill in the art, the nick translation reaction includes a sequencing-by-synthesis reaction based on the intact strand of the double stranded DNA. This strand acts as the template from which the new strand is synthesized. The method does not require the use of a primer because the double stranded DNA can prime the reaction independently. These aspects of the invention will refer specifically to nick translation for the sake of brevity, but it is to be understood that any other combined reaction of nucleotide excision and incorporation will be equally and fully intended in the following discussion.
  • The nick translation approach has two features that make it well suited to the detection methods provided herein. First, the nick translation reaction results in the release of two hydrogen ions for each combined excision/incorporation step, thereby providing a more robust signal at the chemFET each time a nucleotide is incorporated into a newly synthesized strand. A sequencing-by-synthesis method, in the absence of nucleotide excision, releases one hydrogen ion per nucleotide incorporation. In contrast, nick translation releases a first hydrogen ion upon incorporation of a nucleotide and a second hydrogen ion upon excision of another nucleotide. This increases the signal that can be sensed at the chemFET, thereby increasing signal to noise ratio and providing a more definitive readout of nucleotide incorporation.
  • Second, the use of a double stranded DNA template (rather than a single stranded DNA template) results in less interference of the template with released ions and a better signal at the chemFET. A single stranded DNA has exposed groups that are able to interfere with (for example, sequester) hydrogen ions. These reactive groups are shielded in a double stranded DNA where they are hydrogen bonded to complementary groups. By being so shielded, these groups do not substantially impact hydrogen ion level or concentration. As a result, signal resulting from hydrogen ion release is greater in the presence of double stranded as compared to single stranded templates, as will be signal to noise ratio, thereby further contributing to a more definitive readout of nucleotide incorporation.
  • Templates suitable for nick translation typically are completely or partially double stranded. Such templates comprise an opening (or a nick) which acts as an entry point for a polymerase. Such openings can be introduced into the template in a controlled manner as described below and known in the art.
  • As will be appreciated by one of ordinary skill in the art, it is preferable that these openings be present in each of the plurality of identical templates at the same location in the template sequence. Typical molecular biology techniques involving nick translation use randomly created nicks along the double stranded DNA because their aim is to produce a detectably labeled nucleic acid. These prior art methods generate nicks through the use of sequence-independent nicking enzymes such as DNase I. In the methods of the invention however the nick location must be known, non-random and uniform for all templates of identical sequence. There are various ways of achieving this, and some of these are discussed below.
  • One way of achieving this is to create a population of identical double stranded nucleic acid templates that comprise a uracil residue in a defined location on one strand. The uracil may be present in a primer that is used to generate the double stranded nucleic acid or a probe that is hybridized to a single stranded region of a predominantly double stranded nucleic acid. The population of identical template nucleic acids can be generated by an amplification reaction, for example a PCR reaction. The PCR reaction can be performed using a primer pair, one of which comprises a uracil residue. Alternatively, the PCR reaction can be performed with non-uracil containing primers, followed by denaturation of the double stranded amplified products, and hybridization of one strand to a uracil-containing primer. This latter embodiment requires that the single stranded, primed templates be made double stranded prior to the nick translation reaction. These reactions may be carried out while the nucleic acids are bound to a solid support such as a bead. Alternatively, the double stranded nucleic acid templates may be first generated and then attached to a solid support.
  • The uracil-containing double stranded nucleic acids are then contacted with uracil DNA glycosylase (UDG). UDG is an enzyme that removes uracil from DNA by cleaving the N-glycosylic bond. In some instances, the nucleic acid is contacted with a second enzyme that removes uracil. The second enzyme may be an AP endonuclease, or a lyase or another enzyme having similar nuclease activity. The nucleic acids may be in the reaction chamber (or well) discussed herein during exposure to these enzymes, or they may be added to the reaction chamber (or well) following enzyme contact. Following contact with one (in some instances) or both enzymes, the double stranded nucleic acid comprises a nick at a specific location. More importantly, all nucleic acids of the same sequence and treated in an identical manner will be nicked at the same location. These nicked nucleic acids can then be used as templates for nucleic acid sequencing or other analysis.
  • Another way in which double stranded nucleic acids can be uniformly nicked is similar to the method just described with the exception that a nucleotide sequence recognized by a nickase or nicking enzyme is incorporated into the nucleic acid. The nickase cuts on only one strand of the double stranded DNA. Some nickases cut their recognition sequence while others cut at a distance from their recognition sequence (e.g., type II nickases). Nickases with longer recognition sites are preferred because such sites are more infrequent and thus less likely to be present in the target nucleic acid (e.g., the genomic fragment) included in the template nucleic acid. Examples of single stranded sequence specific nucleases (and their respective sequences) include without limitation Nb.BbvCI (CCTCA↓GC), Nt.BbvCI (CC↓TCAGC), Nb.BsmI (GAATG↓C), Nt.SapI (GCTCTTCN↓), Nb.BsrDI (GCAATG↓), and Nb.BtsI (GCAGTG↓), wherein the arrow indicates the site of nicking. Nickases are commercially available from a number of suppliers including NEB. Accordingly, the nucleic acids are prepared having a copy of the nickase recognition sequence in a region of known sequence (e.g., a primer or other artificial sequence in the template nucleic acid). These nucleic acids are then contacted with the corresponding nickase to nick the nucleic acid. As with the uracil embodiment, contact with the nickase can occur before or after the nucleic acids are attached to solid support such as beads, and before or after the nucleic acids are loaded in reaction wells.
  • Still another way in which double stranded nucleic acids may be uniformly nicked is by incorporating ribonucleotides (rather than deoxyribonucleotides) into one strand of the double stranded nucleic acids. This can be accomplished in a manner similar to that described for the generation of uracil-containing nucleic acids. In other words, a double stranded nucleic acid can be generated using primers that contain one or more ribonucleotides at predetermined and thus known positions. The resultant nucleic acids are then contacted with RNase H or other enzyme that degrades the RNA portion of DNA-RNA hybrids. RNase H in particular hydrolyses phosphodiester bonds of RNA in RNA:DNA heteroduplexes, thereby producing 3′ OH groups and 5′ phosphate groups. If the double stranded nucleic acid is generated with only a single ribonucleotide then only a single abasic site will result, whereas if the double stranded nucleic acid is generated with multiple ribonucleotides then multiple abasic sites will result. In either case, identical nucleic acids can still be analyzed using a nick translation reaction once all but one of the abasic sites are filled by the polymerase. Taq polymerase is preferred in some embodiments involving these RNA-DNA hybrids. Again, as with the other methods described above, contact with RNase H or other similar enzyme can occur before or after the nucleic acids are attached to a solid support such as beads, and before or after the nucleic acids are loaded in reaction wells.
  • Still another way to prepare double stranded nucleic acids suitable as templates for nucleotide incorporation and excision events is to generate a double stranded nucleic acid having a 3′ overhang on one end, and then subsequently hybridize to the 3′ overhang a nucleic acid that is shorter than the overhang by at least one nucleotide. Preferably, after hybridization of the two nucleic acids to each other, there will be one unpaired internal nucleotide in the overhang and this will be the site from which nick translation will begin. Again, the sequence of the 3′ overhang and the hybridizing nucleic acid will be known and therefore the location of the abasic site will also be known and will be identical for all template nucleic acids. The hybridization can occur before or after the nucleic acids are attached to a solid support such as beads, and before or after the nucleic acids are loaded into reaction wells.
  • Another example of a suitable nick translation template is a self-priming nucleic acid. The self priming nucleic acid may comprise a double stranded and a single stranded region that is capable of self-annealing in order to prime a nucleic acid synthesis reaction. The single stranded region is typically a known synthetic sequence ligated to a nucleic acid of interest. Its length can be predetermined and engineered to create an opening following self-annealing, and such opening can act as an entry point for a polymerase.
  • It is to be understood that, as the term is used herein, a nicked nucleic acid, such as a nicked double stranded nucleic acid, is a nucleic acid having an opening (e.g., a break in its backbone, or having abasic sites, etc.) from which a polymerase can incorporate and optionally excise nucleotides. The term is not limited to nucleic acids that have been acted upon by an enzyme such as a nicking enzyme, nor is it limited simply to breaks in a nucleic acid backbone, as will be clear based on the exemplary methods described herein for creating such nucleic acids.
  • Once the nicked double stranded nucleic acids are generated, they are then subjected to a nick translation reaction. If the nick translation reaction is performed to sequence the template nucleic acid, the nick translation can be carried out in a manner that parallels the sequencing-by-synthesis methods described herein. More specifically, in some embodiments each of the four nucleotides is separately contacted with the nicked templates in the presence of a polymerase having 5′ to 3′ exonuclease activity. In other embodiments, known combinations of nucleotides are used. Examples of suitable enzymes include DNA polymerase I from E. coli, Bst DNA polymerase, and Taq DNA polymerase. The order of the nucleotides is not important as long as it is known and preferably remains the same throughout a run. After each nucleotide is contacted with the nicked templates, it is washed out followed by the introduction of another nucleotide, just as described herein. In the nick translation embodiments, the wash will also carry the excised nucleotide away from the chemFET.
  • It should be appreciated that just as with other aspects and embodiments described herein the nucleotides that are incorporated into the nicked region need not be extrinsically labeled since it is a byproduct of their incorporation that is detected as a readout rather than the incorporated nucleotide itself. Thus, the nick translation methods may be referred to as label-free methods, or fluorescence-free methods, since incorporation detection is not dependent on an extrinsic label on the incorporated nucleotide. The nucleotides are typically naturally occurring nucleotides. It should also be recognized that since the methods benefit from the consecutive incorporation of as many nucleotides as possible, the nucleotides are not for example modified versions that lead to premature chain termination, such as those used in some sequencing methods.
  • Target and Template Nucleic Acids
  • The nucleic acid being sequenced is referred to herein as the target nucleic acid. Target nucleic acids include but are not limited to DNA such as but not limited to genomic DNA, mitochondrial DNA, cDNA and the like, and RNA such as but not limited to mRNA, miRNA, and other interfering RNA species, and the like. The nucleic acids may be naturally or non-naturally occurring. They may be obtained from any source including naturally occurring sources such as any bodily fluid or tissue that contains DNA, including, but not limited to, blood, saliva, cerebrospinal fluid (“CSF”), skin, hair, urine, stool, and mucus, or synthetic sources. The nucleic acids may be PCR products, cosmids, plasmids, naturally occurring or synthetic libraries, and the like. The invention is not intended to be limited in this regard. It should therefore be understood that the invention contemplates analysis, including sequencing, of DNA as well as RNA.
  • With respect to RNA, amplification methods such as the SMART system and NASBA are known in the art and have been reported by van Gelder et al. PNAS, 1990, 87:1663-1667, Chadwick et al. BioTechniques, 1998, 25:818-822, Brink et al. J Clin Microbiol, 1998, 36(10:3164-3169, Voisset et al. BioTechniques, 2000, 29:236-240, and Zhu et al. BioTechniques, 2001, 30:892-897. The amplification methods described in these references are incorporated by reference herein.
  • The starting amounts of nucleic acids to be sequenced determine the minimum sample requirements. Considering the following bead sizes, with an average of 450 bases in the single stranded region of a template, with an average molecular weight of 325 g/mol per base, Table 2 shows the following:
  • TABLE 2
    Bead Size (um) femto gram of DNA
    0.2 0.124
    0.3 0.279
    0.7 1.52
    1.05 3.42
    2.8 24.3
    5.9 108
  • Given the number of beads and microwells contemplated for use in an array, in some embodiments of the invention, it will be apparent that a sample taken from a subject to be tested need only be on the order of 3 μg. Thus, the systems and methods described herein can be utilized to sequence an entire genome of an organism from about 3 μg of DNA or less. As discussed herein, such sequences can be obtained without the use of optics or extrinsic labels.
  • Target nucleic acids are prepared using any manner known in the art. As an example, genomic DNA may be harvested from a sample according to techniques known in the art (see for example Sambrook et al. “Maniatis”). Following harvest, the DNA may be fragmented to yield nucleic acids of smaller length. The resulting fragments may be on the order of hundreds, thousands, or tens of thousands nucleotides in length. In some embodiments, the fragments are 200-1000 base pairs in size, or 300-800 base pairs in size, about 200, about 300, about 400, about 500, about 600, about 700, about 800, about 900, or about 1000 base pairs in length, although they are not so limited.
  • Nucleic acids may be fragmented by any means including but not limited to mechanical, enzymatic or chemical means. Examples include shearing, sonication, nebulization, endonuclease (e.g., DNase I) digestion, amplification such as PCR amplification, or any other technique known in the art to produce nucleic acid fragments, preferably of a desired length. As used herein, fragmentation also embraces the use of amplification to generate a population of smaller sized fragments of the target nucleic acid. That is, the target nucleic acids may be melted and then annealed to two (and preferably more) amplification primers and then amplified using for example a thermostable polymerase (such as Taq). An example is a massively parallel PCR-based amplification. Fragmentation can be followed by size selection techniques to enrich or isolate fragments of a particular length or size. Such techniques are also known in the art and include but are not limited to gel electrophoresis or SPRI.
  • Alternatively, target nucleic acids that are already of sufficiently small size (or length) may be used. Such target nucleic acids include those derived from an exon enrichment process. Thus, rather than fragmenting (randomly or non-randomly) longer target nucleic acids, the targets may be nucleic acids that naturally exist or can be isolated in shorter, useable lengths such as mRNAs, cDNAs, exons, PCR products (as described above), and the like. See Albert et al. Nature Methods 2007 4(11):903-905 (microarray hybridization of exons and locus-specific regions), Porreca et al. Nature Methods 2007 4(11):931-936, and Okou et al. Nature Methods 2007 4(11):907-909 for methods of isolating and/or enriching sequences such as exons prior to sequencing.
  • The target nucleic acids are typically ligated to adaptor sequences on both the 5′ and 3′ ends. The resulting nucleic acid is referred to herein as a template nucleic acid. The template nucleic acid therefore comprises at least the target nucleic acid and usually comprises nucleotide sequences in addition to the target at both the 5′ and 3′ ends. The template nucleic acids may be engineered such that different templates have identical 5′ ends and identical 3′ ends. The 5′ and 3′ ends in each individual template are preferably different in sequence.
  • Adaptor sequences may comprise sequences complementary to amplification primer sequences, to be used in amplifying the target nucleic acids. One adaptor sequence may also comprise a sequence complementary to the sequencing primer (i.e., the primer from which sequencing occurs). The opposite adaptor sequence may comprise a moiety that facilitates binding of the nucleic acid to a solid support such as but not limited to a bead. An example of such a moiety is a biotin molecule (or a double biotin moiety, as described by Diehl et al. Nature Methods, 2006, 3(7):551-559) and such a labeled nucleic acid can therefore be bound to a solid support having avidin or streptavidin groups. Another moiety that can be used is the NHS-ester and amine affinity pair. It is to be understood that the invention is not limited in this regard and one of ordinary skill is able to substitute these affinity pairs with other binding pairs. In some embodiments, the solid support is a bead and in others it is a wall of the reaction chamber (or well) such as a bottom wall or a side wall, or both.
  • In some embodiments, the invention contemplates the use of a plurality of template populations, wherein each member of a given plurality shares the same 3′ end but different template populations differ from each other based on their 3′ end sequences. As an example, the invention contemplates in some instances sequencing nucleic acids from more than one subject or source. Nucleic acids from a first source may have a first 3′ sequence, nucleic acids from a second source may have a second 3′ sequence, and so on, provided that the first, second, and any additional 3′ sequences are different from each other. In this respect, the 3′ end, which is typically a unique sequence, can be used as a barcode or identifier to label (or identify) the source of the particular nucleic acid in a given well. Reference can be made to Meyer et al. Nucleic Acids Research 2007 35(15):e97 for a discussion of labeling nucleic acid with barcodes followed by sequencing.
  • Templates disposed onto a chemFET array (and thus over more than one sensor in the array) may share identical primer binding sequences. This facilitates the use of an identical primer across microwells and also ensures that a similar (or identical) degree of primer hybridization occurs across microwells. Once annealed to complementary primers such as sequencing primers, the templates are in a complex referred to herein as a template/primer hybrid. In this hybrid, at least one region of the template is double stranded (i.e., where it is bound to its complementary primer) and in some instances the remaining region of the template is single stranded. It is this single stranded region that acts as the template for the incorporation of nucleotides to the end of the primer and thus it is also this single stranded region which is ultimately sequenced according to the invention. As discussed herein, this single stranded region may be bound by short RNA oligomers, of known or unknown (i.e., random) sequence, and still capable of being sequenced.
  • In some embodiments, the template nucleic acid is able to self-anneal thereby creating a 3′ end from which to incorporate nucleotide triphosphates. Thus in such instances, there is no need for a separate sequencing primer since the template acts as both template and primer. See Eriksson et al. Electrophoresis 25:20-27, 2004 for a discussion of the use of self-annealing template in a pyrosequencing reaction. In other instances, sequencing primers are hybridized (or annealed, as the terms are used interchangeably herein) to the templates prior to introduction or contact with the chemFET or reaction chamber.
  • The plurality of templates in each microwell may be introduced into the microwells (e.g., via a nucleic acid loaded bead), or it may be generated in the microwell itself. A plurality is defined herein as at least two, and in the context of template nucleic acids in a microwell or on a nucleic acid loaded bead includes tens, hundreds, thousands, ten thousands, hundred thousands, millions, or more copies of the template nucleic acid. The limit on the number of copies will depend on a number of variables including the number of binding sites for template nucleic acids (e.g., on the beads or on the walls of the microwells), the size of the beads, the length of the template nucleic acid, the extent of the amplification reaction used to generate the plurality, and the like. It is generally preferred to have as many copies of a given template per well in order to increase signal to noise ratio as much as possible, as discussed herein. In some embodiments, the amplification is a representative amplification. A representative amplification is an amplification that does not alter the relative representation of any nucleic acid species.
  • Thus, the template nucleic acid may be amplified prior to or after placement in the well and/or contact with the sensor. Amplification and conjugation of nucleic acids to solid supports such as beads may be accomplished in a number of ways. For example, in one aspect once a template nucleic acid is loaded into a well of the flow cell 200, amplification may be performed in the well, the resulting amplified product denatured, and sequencing-by-synthesis then performed. In one embodiment, the template is amplified in solution and then hybridized to a single primer that is immobilized on the chemFET surface. The use of only one primer type on the surface ensures that only one of the amplified strands is eventually bound to the surface, and the other strand is removed through wash.
  • Amplification methods include but are not limited to emulsion PCR (i.e., water in oil emulsion amplification) as described by Margulies et al. Nature 2005 437(15):376-380 and accompanying supplemental materials, bridge amplification, rolling circle amplification (RCA), concatemer chain reaction (CCR), or other strategies using isothermal or non-isothermal amplification techniques.
  • Bridge amplification can be used to produce a solid support (such as a reaction chamber wall or a bead) having amplified copies of the same template. The method involves contacting template nucleic acids with the chemFET/reaction chamber array at a limiting dilution in order to ensure that reaction chambers contain only a single template. The chemFET surface will typically be coated with two populations of primers. In one embodiment, the chemFET surface is coated with both forward and reverse primers that are complementary to the engineered 5′ and 3′ sequences of the template. The template is bound to the chemFET surface directly and then allowed to hybridize at its free end with a complementary primer on the surface. The primer is extended using unlabeled nucleotides, and the resultant double stranded nucleic acid is then denatured. This results in immobilized copies of the template nucleic acid and its complement in close proximity on the surface. This process is repeated by allowing the template and its complement to hybridize at their free ends to other primers on the surface. The net result is a population of immobilized template and a population of immobilized complement that are interspersed amongst each other. The sequencing-by-synthesis reaction is then carried out using a sequencing primer that binds to one but not both immobilized strands. This effectively selects for one of the strands and ensures that only one strand is sequenced. Either strand can be sequenced since they are complements of each other.
  • In a related embodiment, the solid support is a bead and the bead is coated with the two primer populations and only a single stranded template nucleic acid, at least initially. This amplification method is described in U.S. Pat. No. 5,641,658 to Adams et al.
  • In still another embodiment, each solid support surface (whether bead or reaction chamber wall) has bound thereto a specific and unique primer pair that may be but is not limited to a gene specific primer pair. One or both of the primers in the pair select for templates in a library that is applied to the solid support. Due to the unique sequence of the primers, it is expected that only the desired template will hybridize and then be amplified and sequenced, as described above.
  • RCA or CCR amplification methods generate concatemers of template nucleic acids that comprise tens, hundreds, thousands or more tandemly arranged copies of the template. Such concatemers may still be referred to herein as template nucleic acids, although they may contain multiple copies of starting template nucleic acids. In some embodiments, they may also be referred to as amplified template nucleic acids. Alternatively, they may be referred to herein as comprising multiple copies of target nucleic acid fragment. Concatemers may contain 2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 500, 1000, or more copies of the starting nucleic acid. They may contain 10-102, 102-103, 103-104, 103-105, or more copies of the starting nucleic acid. Concatemers generated using these or other methods (such as for example DNA nanoballs) can be used in the sequencing-by-synthesis methods described herein. The concatemers may be generated in vitro apart from the array and then placed into reaction chambers of the array or they may be generated in the reaction chambers. One or more inside walls of the reaction chamber may be treated to enhance attachment and retention of the concatemers, although this is not required. In some embodiments of the invention, if the concatemers are attached to an inside wall of the reaction chamber, such as the chemFET surface, then nucleotide incorporation at least in the context of a sequencing-by-synthesis reaction may be detected by a change in charge at the chemFET surface, as an alternative to or in addition to the detection of released hydrogen ions as discussed herein. If the concatemers are deposited onto a chemFET surface and/or into a reaction chamber, sequencing-by-synthesis can occur through detection of released hydrogen ions as discussed herein. The invention embraces the use of other approaches for generating concatemerized templates. One such approach is a PCR described by Stemmer et al. in U.S. Pat. No. 5,834,252, and the description of this approach is incorporated by reference herein.
  • The ability to use template nucleic acids independently of beads and that can be deposited into reaction chambers or onto chemFET surfaces facilitates the use of dense chemFET arrays. As will be understood, denser arrays will typically incorporate more chemFETs and optionally more reaction chambers (where they are used) per array (or chip). In order to accommodate the increased number of chemFETs and optionally reaction chambers, the size of the chemFETs and optionally reaction chambers is reduced. Accordingly, in some instances, it may be preferable to use nucleic acids that are concatemers of the nucleic acid to be sequenced, independently of beads. Such nucleic acids may be allowed to self-assemble onto a treated chemFET surface, or they may settle into the well (for example, by gravity), or they may be pulled in by magnetic or other force. Thus, the invention contemplates the use of such concatemerized template nucleic acids in the pH based sequencing-by-synthesis methods described herein.
  • As discussed herein, one approach for generating nucleic acids that comprise multiple copies of a nucleic acid to be sequenced involves amplification of a circular template. The resultant amplified product forms a three dimensional structure that may occupy a spherical volume or other three dimensional volume and shape. The occupied volume may vary, depending on the size of the resultant nucleic acid. For example, in some instances the spherical volume may have an average diameter on the order of about 100-300 nm. The generation of these three dimensional structures is described further in published US patent applications US20070072208A1 and US20070099208A1, both to Drmanac et al.
  • Such nucleic acids may be generated in solution (i.e., amplification occurs in solution) and therefore emulsion based techniques or reaction chambers or wells are not necessary in some instances. As each resultant nucleic acid consists of a clonal amplified population of a starting nucleic acid, there will be no cross contamination of nucleic acids and nor does there have to be any physical separation between individual amplification reactions. Thus, in some aspects, it is contemplated that nucleic acids (such as “DNA nanoballs” or “amplicons”) are generated in solution and then deposited onto chemFET surfaces and/or into reaction chambers. Further references that describe amplifications methods suitable for the synthesis of these nucleic acids include U.S. Pat. Nos. 4,683,195, 4,965,188, 4,683,202, 4,800,159, 5,210,015, 6,174,670, 5,399,491, 6,287,824, 5,854,033 and published US patent application US20060024711. Linear rolling circle amplification, multiple displacement amplification, and padlock probe rolling circle amplification can all be used to generate clonal amplicons without the need for limiting dilution in order to avoid cross-contamination of nucleic acid templates by each other.
  • The chemFET surfaces may be treated (or patterned) or untreated (or unpatterned). In some instances, treated (or patterned) surfaces are preferred in order to maximize nucleic acid deposition and/or retention onto a surface. It is further known in the art that these nucleic acids may self-assemble onto the chemFET surface provided the chemFET array surface comprises regions to which the nucleic acids bind and optionally regions to which they do not bind. Additionally, the binding of a nucleic acid to one region on the surface will repel the binding of another nucleic acid, thereby precluding the possibility that two or more nucleic acids of different sequence could co-exist at the same chemFET surface. The chemFET array may have an occupancy on the order of greater than 50%, greater than 60%, greater than 70%, greater than 80%, or 90% or greater (i.e., the number of individual chemFET surfaces onto which a single nucleic acid is deposited). It will be understood that, as used herein, the term deposited refers simply to the placement of the nucleic acid in close proximity and potentially in contact with a chemFET surface (and optionally reaction chamber), but it does not require any particular interaction, whether covalent or non-covalent, between the nucleic acid and the chemFET surface.
  • The amplified nucleic acids discussed herein may be attached to the chemFET surface through functionalities incorporated into (e.g., during amplification) or added post-synthesis to the nucleic acid. Such functionalities may be located at adaptor regions within the nucleic acid which are not intended for sequencing according to the methods provided herein. For example, a concatemer may be generated from a circular template having two or more adaptor sequences (or nucleic acids) located upstream and downstream of the nucleic acids being sequenced. Alternatively, the starting (or initial) nucleic acid may consist of a single adaptor sequence and a single nucleic acid to be sequenced and in the process of amplification (such as, for example, RCA) the adaptor sequence is used to separate the copies of the nucleic acid to be sequenced from each other. Whether in this embodiment or others described herein, functionalities present in the adaptor sequences may be used to attach and/or retain the resultant amplified nucleic acids on a chemFET surface and optionally a reaction chamber. Exemplary functionalities include but are not limited to amino groups, sulfhydryl groups, carbonyl groups, biotin, streptavidin, avidin, amine allyl labeled nucleotides, NHS-ester interaction, thioether linkages, and the like.
  • Attachment may be via non-covalent bonds between capture nucleic acids present on the chemFET surface and complementary sequences in the adapter regions, or adsorption to the surface via Van der Waals forces, hydrogen bonding, static charge interactions, ionic and hydrophobic interactions, and the like. Techniques used to attach DNAs to microarrays may also be used to attach the amplified products to the chemFET surface. These techniques include but are not limited to those described by Smirnov, Genes, Chrom & Cancer 40:72-77, 2004 and Beaucage Curr Med Chem 8:1213-1244, 2001.
  • Deposition and/or retention may also be accomplished using magnetic forces. In these embodiments, magnetic particles may be incorporated into and/or attached post-synthesis to the amplified nucleic acids (e.g., at regions not intended for sequencing). Once the nucleic acids are distributed on a chemFET array and optionally a reaction chamber array, the array is placed in proximity to a magnet in order to move the nucleic acids towards the chemFET surface and optionally into a reaction chamber.
  • It should also be understood that the methods described herein contemplate the synthesis of the amplified nucleic acids on or in proximity to the chemFET and optionally in a reaction chamber in addition to synthesis in solution followed by deposition onto the chemFET surface. It is expected however that the latter approach will result in a greater degree of occupancy of chemFET surfaces in the array.
  • Accordingly, provided herein is an array of nucleic acids comprising a plurality of chemFETs each having a surface, and a plurality of nucleic acids, each nucleic acid deposited onto (or attached to) individual chemFET surfaces, wherein each nucleic acid comprises multiple identical copies of an initial nucleic acid to be sequenced. In some instances, the nucleic acid has a random coil state.
  • Also provided herein is a method for sequencing a nucleic acid present in a reaction chamber of a reaction chamber array, comprising synthesizing a concatemer of a starting nucleic acid, wherein the concatemer has a cross-sectional diameter greater than the diameter of the reaction well, optionally immobilizing (whether covalently or non-covalently) the concatemer in the reaction chamber, and sequencing the concatemer, preferably by sequencing-by-synthesis methods provided herein (e.g., pH based sequencing-by-synthesis methods). It will be understood that if the reaction chamber has a non-circular cross-section then one or more or an average of cross-sectional dimensions can be used (as can a cross-sectional area) in comparing the concatemer and the reaction chamber sizes or dimensions. It should also be understood that the size of the concatemer relative to the reaction chamber will preclude the presence of more than one concatemer per reaction chamber.
  • Solid Supports and Capture Beads
  • The solid support to which the template nucleic acids or primers are bound is referred to herein as the “capture solid support”. The solid support may be a wall of the reaction chamber (or well) including the surface of the chemFET, or a bottom or side wall of the reaction chamber provided such wall is capacitively coupled to the chemFET. If the solid support is a bead, then such bead may be referred to herein as a “capture bead”. Such beads are generally referred to herein as “loaded” with or “bearing” nucleic acid if they have nucleic acids attached to their surface (whether covalently or non-covalently) and/or present in their interior core. Some capture beads comprise a porous surface that allows entry and exit of small compounds such as amplification or sequencing reagents (e.g., dNTPs, co-factors, etc.). This class of beads typically will comprise nucleic acids internally and in this way they function to localize the nucleic acids, optionally without the need to attach the nucleic acids to a solid support. In embodiments in which capture beads are used, preferably each reaction well comprises only a single capture bead.
  • The degree of saturation of any capture (i.e., sequencing) bead with template nucleic acid to be sequenced may not be 100%. In some embodiments, a saturation level of 10%-100% exists. As used herein, the degree of saturation of a capture bead with a template refers to the proportion of sites on the bead that are conjugated to template. In some instances this may be at least 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, or it may be 100%.
  • Microwell Arrays
  • Important aspects of the invention contemplate sequencing a plurality of different template nucleic acids simultaneously. This may be accomplished using the sensor arrays described herein. In one embodiment, the sensor arrays are overlayed (and/or integral with) an array of microwells (or reaction chambers or wells, as those terms are used interchangeably herein), with the proviso that there be at least one sensor per microwell. Present in a plurality of microwells is a population of identical copies of a template nucleic acid. There is no requirement that any two microwells carry identical template nucleic acids, although in some instances such templates may share overlapping sequence. Thus, each microwell comprises a plurality of identical copies of a template nucleic acid, and the templates between microwells may be different.
  • The microwells may vary in size between arrays. The size of these microwells may be described in terms of a width (or diameter) to height ratio. In some embodiments, this ratio is 1:1 to 1:1.5. The bead to well size (e.g., the bead diameter to well width, diameter, or height) is preferably in the range of 0.6-0.8.
  • The microwell size may be described in terms of cross section. The cross section may refer to a “slice” parallel to the depth (or height) of the well, or it may be a slice perpendicular to the depth (or height) of the well. The microwells may be square in cross-section, but they are not so limited. The dimensions at the bottom of a microwell (i.e., in a cross section that is perpendicular to the depth of the well) may be 1.5 μm by 1.5 μm, or it may be 1.5 μm by 2 μm. Suitable diameters include but are not limited to at or about 100 μm, 95 μm, 90 μm, 85 μm, 80 μm, 75 μm, 70 μm, 65 μm, 60 μm, 55 μm, 50 μm, 45 μm, 40 μm, 35 μm, 30 μm, 25 μm, 20 μm, 15 μm, 10 μm, 9 μm, 8 μm, 7 μm, 6 μm, 5 μm, 4 μm, 3 μm, 2 μm, 1 μm or less. In some particular embodiments, the diameters may be at or about 44 μm, 32 μm, 8 μm, 4 μm, or 1.5 μm. Suitable heights include but are not limited to at or about 100 μm, 95 μm, 90 μm, 85 μm, 80 μm, 75 μm, 70 μm, 65 μm, 60 μm, 55 μm, 50 μm, 45 μm, 40 μm, 35 μm, 30 μm, 25 μm, 20 μm, 15 μm, 10 μm, 9 μm, 8 μm, 7 μm, 6 μm, 5 μm, 4 μm, 3 μm, 2 μm, 1 μm or less. In some particular embodiments, the heights may be at or about 55 μm, 48 μm, 32 μm, 12 μm, 8 μm, 6 μm, 4 μm, 2.25 μm, 1.5 μm, or less. Various embodiments of the invention contemplate the combination of any of these diameters with any of these heights. In still other embodiments, the reaction well dimensions may be (diameter in μm by height in μm) 44 by 55, 32 by 32, 32 by 48, 8 by 8, 8 by 12, 4 by 4, 4 by 6, 1.5 by 1.5, or 1.5 by 2.25.
  • The reaction well volume may range (between arrays, and preferably not within a single array) based on the well dimensions. This volume may be at or about 100 picoliter (pL), 90, 80, 70, 60, 50, 40, 30, 20, 10, or fewer pL. In important embodiments, the well volume is less than 1 pL, including equal to or less than 0.5 pL, equal to or less than 0.1 pL, equal to or less than 0.05 pL, equal to or less than 0.01 pL, equal to or less than 0.005 pL, or equal to or less than 0.001 pL. The volume may be 0.001 to 0.9 pL, 0.001 to 0.5 pL, 0.001 to 0.1 pL, 0.001 to 0.05 pL, or 0.005 to 0.05 pL. In particular embodiments, the well volume is 75 pL, 34 pL, 23 pL, 0.54 pL, 0.36 pL, 0.07 pL, 0.045 pL, 0.0024 pL, or 0.004 pL. In some embodiments, each reaction chamber is no greater than about 0.39 pL in volume and about 49 μm2 surface aperture, and more preferably has an aperture no greater than about 16 μm2 and volume no greater than about 0.064 pL.
  • It is to be understood therefore that the invention contemplates a sequencing apparatus for sequencing unlabeled nucleic acid acids, optionally using unlabeled nucleotides, without optical detection and comprising an array of at least 100 reaction chambers. In some embodiments, the array comprises 103, 104, 105, 106, 107 or more reaction chambers. The pitch (or center-to-center distance between adjacent reaction chambers) is on the order of about 1-10 microns, including 1-9 microns, 1-8 microns, 1-7 microns, 1-6 microns, 1-5 microns, 1-4 microns, 1-3 microns, or 1-2 microns.
  • In various aspects and embodiments of the invention, the nucleic acid loaded beads, of which there may be tens, hundreds, thousands, or more, first enter the flow cell and then individual beads enter individual wells. The beads may enter the wells passively or otherwise. For example, the beads may enter the wells through gravity without any applied external force. The beads may enter the wells through an applied external force including but not limited to a magnetic force or a centrifugal force. In some embodiments, if an external force is applied, it is applied in a direction that is parallel to the well height/depth rather than transverse to the well height/depth, with the aim being to “capture” as many beads as possible. Preferably, the wells (or well arrays) are not agitated, as for example may occur through an applied external force that is perpendicular to the well height/depth. Moreover, once the wells are so loaded, they are not subjected to any other force that could dislodge the beads from the wells.
  • The Examples provide a brief description of an exemplary bead loading protocol in the context of magnetic beads. It is to be understood that a similar approach could be used to load other bead types. The protocol has been demonstrated to reduce the likelihood and incidence of trapped air in the wells of the flow chamber, uniformly distribute nucleic acid loaded beads in the totality of wells of the flow chamber, and avoid the presence and/or accumulation of excess beads in the flow chamber.
  • In various instances, the invention contemplates that each well in the flow chamber contain only one nucleic acid loaded bead. This is because the presence of two beads per well will yield unusable sequencing information derived from two different template nucleic acids.
  • In some embodiments, the microwell array may be analyzed to determine the degree of loading of beads into the microwells, and in some instances to identify those microwells having beads and those lacking beads. The ability to know which microwells lack beads provides another internal control for the sequencing reaction. The presence or absence of a bead in a well can be determined by standard microscopy or by the sensor itself. FIGS. 61J and K are images captured from an optical microscope inspection of a microwell array (J) and from the sensor array underlying the microwell array (K). The white spots in both images each represent a bead in a well. Such microwell observation usually is only made once per run particularly since the beads once disposed in a microwell are unlikely to move to another well.
  • It has also been found that in the absence of flow the background signal (i.e., noise) is less than or equal to about 0.25 mV, but that in the presence of DNA-loaded capture beads that signal increases to about 1.0 mV=1-0.5 mV. This increase is sufficient to allow one to determine wells with beads.
  • The percentage of occupied wells in the well array may vary depending on the methods being performed. If the method is aimed at extracting maximum sequence data in the shortest time possible, then higher occupancy is desirable. If speed and throughout is not as critical, then lower occupancy may be tolerated. Therefore depending on the embodiment, suitable occupancy percentages may be at least 10%, at least 20%, at least 30%, at least 40%, at least 50%, at least 60%, at least 70%, at least 80%, at least 90%, at least 91%, at least 92%, at least 93%, at least 94%, at least 95%, at least 96%, at least 97%, at least 98%, at least 99%, or 100% of the wells. As used herein, occupancy refers to the presence of one nucleic acid loaded bead in a well and the percentage occupancy refers to the proportion of total wells in an array that are occupied by a single bead. Wells that are occupied by more than one bead typically cannot be used in the analyses contemplated by the invention.
  • Simultaneous Sequencing Reactions
  • The invention therefore contemplates performing a plurality of different sequencing reactions simultaneously. A plurality of identical sequencing reactions is occurring in each occupied well simultaneously. It is this simultaneous and identical incorporation of dNTP within each well that increases the signal to noise ratio. By performing sequencing reactions in a plurality of wells simultaneously, a plurality of different nucleic acids are simultaneously sequenced. The methods aim to maximize complete incorporation across all microwells for any given dNTP, reduce or decrease the number of unincorporated dNTPs that remain in the wells after signal detection is complete, and achieve as a high a signal to noise ratio as possible.
  • Before and/or while in the wells, the template nucleic acids are incubated with a sequencing primer that binds to its complementary sequence located on the 3′ end of the template nucleic acid (i.e., either in the amplification primer sequence or in another adaptor sequence ligated to the 3′ end of the target nucleic acid) and with a polymerase for a time and under conditions that promote hybridization of the primer to its complementary sequence and that promote binding of the polymerase to the template nucleic acid. The primer can be of virtually any sequence provided it is long enough to be unique. The hybridization conditions are such that the primer will hybridize to only its true complement on the 3′ end of the template. Suitable conditions are disclosed in Margulies et al. Nature 2005 437(15):376-380 and accompanying supplemental materials.
  • It will be understood that the amount of sequencing primers and polymerases may be saturating, above saturating level, or in some instances below saturating levels. As used herein, a saturating level of a sequencing primer or a polymerase is a level at which every template nucleic acid is hybridized to a sequencing primer or bound by a polymerase, respectively. Thus the saturating amount is the number of polymerases or primers that is equal to the number of templates on a single bead. In some embodiments, the level is greater than this, including at least 2 fold, 3 fold, 4 fold, 5 fold, 10 fold, or more than the level of the template nucleic acid. In other embodiments, the number of polymerases and/or primers may be 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, or up to 100% of the number of templates on a single bead in a single well.
  • Suitable polymerases include but are not limited to DNA polymerase, RNA polymerase, or a subunit thereof, provided it is capable of synthesizing a new nucleic acid strand based on the template and starting from the hybridized primer. An example of a suitable polymerase subunit for some but not all embodiments of the invention is the exo-minus (exo) version of the Klenow fragment of E. coli DNA polymerase I which lacks 3′ to 5′ exonuclease activity. Other polymerases include T4 exo, Therminator, and Bst polymerases. In still other embodiments that require excision of nucleotides (e.g., in the process of a nick translation reaction), polymerases with exonuclease activity are preferred. The polymerase may be free in solution (and may be present in wash and dNTP solutions) or it may be bound for example to the beads (or corresponding solid support) or to the walls of the chemFET but preferably not to the ISFET surface itself. The polymerase may be one that is modified to comprise accessory factors including without limitation single or double stranded DNA binding proteins.
  • Some embodiments of the invention require that the polymerase have sufficient processivity. As used herein, processivity is the ability of a polymerase to remain bound to a single primer/template hybrid. As used herein, it is measured by the number of nucleotides that a polymerase incorporates into a nucleic acid (such as a sequencing primer) prior to dissociation of the polymerase from the primer/template hybrid. In some embodiments, the polymerase has a processivity of at least 100 nucleotides, although in other embodiments it has a processivity of at least 200 nucleotides, at least 300 nucleotides, at least 400 nucleotides, or at least 500 nucleotides. It will be understood by those of ordinary skill in the art that the higher the processivity of the polymerase, the more nucleotides that can be incorporated prior to dissociation, and therefore the longer the sequence that can be obtained. In other words, polymerases having low processivity will provide shorter read-lengths than will polymerases having higher processivity. As an example, a polymerase that dissociates from the hybrid after five incorporations will only provide a sequence of 5 nucleotides in length, while a polymerase that dissociates on average from the hybrid after 500 incorporations will provide sequence of about 500 nucleotides.
  • The rate at which a polymerase incorporates nucleotides will vary depending on the particular application, although generally faster rates of incorporation are preferable. The rate of “sequencing” will depend on the number of arrays on chip, the size of the wells, the temperature and conditions at which the reactions are run, etc.
  • In some embodiments of the invention, the time for a 4 nucleotide cycle may be 50-100 seconds, 60-90 seconds, or about 70 seconds. In other embodiments, this cycle time can be equal to or less than 70 seconds, including equal to or less than 60 seconds, equal to or less than 50 seconds, equal to or less than 40 seconds, or equal to or less than 30 seconds. A read length of about 400 bases may take on the order of 30 minutes, 60 minutes, 1.5 hours, 2 hours, 2.5 hours, 3 hours, 3.5 hours, 4 hours, 4.5 hours, or in some instance 5 or more hours. These times are sufficient for the sequencing of megabases, and more preferably gigabases of sequence, with greater amounts of sequence being attainable through the use of denser arrays (i.e., arrays with greater numbers of reaction wells and FETs) and/or the simultaneous use of multiple arrays.
  • Table 3 provides estimates for the rates of sequencing based on various array, chip and system configurations contemplated herein. It is to be understood that the invention contemplates even denser arrays than those shown in Table 3. These denser arrays can be characterized as 90 nm CMOS with a pitch of 1.4 μm and a well size of 1 μm which may be used with 0.7 μm beads, or 65 nm CMOS with a pitch of 1 μm and a well size of 0.5 μm which may be used with 0.3 μm beads, or 45 μm CMOS with a pitch of 0.7 μm and a well size of 0.3 μm which can be used with 0.2 μm beads.
  • TABLE 3
    Reaction Parameters and Read Rates.
    chip type A B C D E
    pixel/CMOS 2.8 μm/0.18 μm 5.1 μm/0.35 μm 5.1 μm/0.35 μm 9 μm/3.5 μm 9 μm/0.35 μm
    chip size 17.5 × 17.5 17.5 × 17.5 12 × 12 17.5 × 17.5 12 × 12
    # possible reads 27,800,000 7,220,000 2,950,000 2,320,000 1,060,000
    read length (assumption) 400 400 400 400 400
    # chips/board 4 4 4 4 4
    bead load efficiency 0.80 0.80 0.80 0.80 0.80
    # yielded Gbp* per run 35.6 9.2 3.8 3.0 1.4
    # times HG** (3 Gbp/HG) 11.86 3.08 1.26 0.99 0.45
    *Gbp is gigabases
    **HG is human genome
  • The template nucleic acid is also contacted with other reagents and/or cofactors including but not limited to buffer, detergent, reducing agents such as dithiothrietol (DTT, Cleland's reagent), single stranded binding proteins, and the like before and/or while in the well. In one embodiment, the polymerase comprises one or more single stranded binding proteins (e.g., the polymerase may be one that is engineered to include one or more single stranded binding proteins). In one embodiment, the template nucleic acid is contacted with the primer and the polymerase prior to its introduction into the flow chamber and wells thereof.
  • The primers may be DNA in nature or they may be modified moieties such as PNA or LNA, or they may comprise some other modification such as those described herein, or some combination of the foregoing. It has been found according to the invention that LNA-containing primers bind efficiently to DNA templates under stringent conditions and are still able to mediate a polymerase-mediated extension.
  • Some reactions may be carried out at a pH equal to or greater than 7.5, equal to or greater than 8, equal to or greater than 8.5, equal to or greater than 9, equal to or greater than 9.5, equal to or greater than 10, or equal to or greater than 11. The polymerase may be one that incorporates nucleotides into a nucleic acid at a pH of 7-11, 7.5-10.5, 8-10, 8.5-9.5, or at about 9.
  • In some embodiments, the enzyme has high activity in low concentrations of dNTPs. In some embodiments, the dNTP concentration is 50 μM, 40 μM, 30 μM, 20 μM, 10 μM, 5 μM, and preferably 20 μM or less.
  • Apyrase is an enzyme that degrades residual unincorporated nucleotides converting them into monophosphate and releasing inorganic phosphate in the process. It is useful for degrading dNTPs that are not incorporated and/or that are in excess. It is important that excess and/or unincorporated dNTP be washed away from all wells after measurements are complete and before introduction of the subsequent dNTP. Accordingly, addition of apyrase between the introduction of different dNTPs is useful to remove unincorporated dNTPs that would otherwise obscure the sequencing data.
  • Thus, according to some aspects of the invention, a homogeneous population of (or a plurality of identical) template nucleic acids is placed into each of a plurality of wells, each well situated over and thus corresponding to at least one sensor. As discussed above, preferably the well contains at least 10, at least 100, at least 1000, at least 104, at least 105, at least 106, or more copies of an identical template nucleic acid. Identical template nucleic acids means that the templates are identical in sequence. Most and preferably all the template nucleic acids within a well are uniformly hybridized to a primer. Uniform hybridization of the template nucleic acids to the primers means that the primer hybridizes to the template at the same location (i.e., the sequence along the template that is complementary to the primer) as every other template/primer hybrid in the well. The uniform positioning of the primer on every template allows the co-ordinated synthesis of all new nucleic acid strands within a well, thereby resulting in a greater signal-to-noise ratio.
  • In some embodiments, nucleotides are then added in flow, or by any other suitable method, in sequential order to the flow chamber and thus the wells. The nucleotides can be added in any order provided it is known and for the sake of simplicity kept constant throughout a run.
  • In some embodiments, the method involves adding ATP to the wash buffer so that dNTPs flowing into a well displace ATP from the well. The ATP matches the ionic strength of the dNTPs entering the wells and it also has a similar diffusion profile as dNTPs. In this way, influx and efflux of dNTPs during the sequencing reaction do not interfere with measurements at the chemFET. The concentration of ATP used is on the order of the concentration of dNTP used.
  • In some embodiments, the dNTP and/or the polymerase may be pre-incubated with divalent cation such as but not limited to Mg2+ (for example in the form of MgCl2) or Mn2+ (for example in the form of MnCl2). Other divalent cations can also be used including but not limited to Ca2+, Co2+. This pre-incubation (and thus “pre-loading” of the dNTP and/or the polymerase can ensure that the polymerase is exposed to a sufficient amount of divalent cation for proper and necessary functioning even if it is present in a low ionic strength environment. Pre-incubation may occur for 1-60 minutes, 5-45 minutes, or 10-30 minutes, depending on the embodiment, although the invention is not limited to these time ranges.
  • A sequencing cycle may therefore proceed as follows washing of the flow chamber (and wells) with wash buffer (optionally containing ATP), introduction of a first dNTP species (e.g., dATP) into the flow chamber (and wells), release and detection of PPi and then unincorporated nucleotides (if incorporation occurred) or detection of solely unincorporated nucleotides (if incorporation did not occur) (by any of the mechanisms described herein), washing of the flow chamber (and wells) with wash buffer, washing of the flow chamber (and wells) with wash buffer containing apyrase (to remove as many of the unincorporated nucleotides as possible prior to the flow through of the next dNTP, washing of the flow chamber (and wells) with wash buffer, and introduction of a second dNTP species. This process is continued until all 4 dNTP (i.e., dATP, dCTP, dGTP and dTTP) have been flowed through the chamber and allowed to incorporate into the newly synthesized strands. This 4-nucleotide cycle may be repeated any number of times including but not limited to 10, 25, 50, 100, 200 or more times. The number of cycles will be governed by the length of the template being sequenced and the need to replenish reaction reagents, in particular the dNTP stocks and wash buffers.
  • As part of the sequencing reaction, a dNTP will be ligated to (or “incorporated into” as used herein) the 3′ of the newly synthesized strand (or the 3′ end of the sequencing primer in the case of the first incorporated dNTP) if its complementary nucleotide is present at that same location on the template nucleic acid. Incorporation of the introduced dNTP (and concomitant release of PPi) therefore indicates the identity of the corresponding nucleotide in the template nucleic acid. If no dNTP has been incorporated, no hydrogens are released and no signal is detected at the chemFET surface. One can therefore conclude that the complementary nucleotide was not present in the template at that location. If the introduced dNTP has been incorporated into the newly synthesized strand, then the chemFET will detect a signal. The signal intensity and/or area under the curve is a function of the number of nucleotides incorporated (for example, as may occur in a homopolymer stretch in the template. The result is that no sequence information is lost through the sequencing of a homopolymer stretch (e.g., poly A, poly T, poly C, or poly G) in the template.
  • The sequencing reaction can be run at a range of temperatures. Typically, the reaction is run in the range of 30° C. to 70° C., 30° C. to 65° C., 30-60° C., 35-55° C., 40-50° C., or 40-45° C. It is preferable to run the reaction at temperatures that prevent formation of secondary structure in the nucleic acid. However this must be balanced with the binding of the primer (and the newly synthesized strand) to the template nucleic acid and the reduced half-life of apyrase at higher temperatures. The optimum temperature for the polymerase is also important as the closer the reaction is run to that temperature, the higher the nucleotide incorporation rate will be. Bst polymerase has a optimum temperature of about 65° C., while T4 polymerase has an optimum temperature of about 37° C. Thus, the optimum temperature will depend upon the polymerase being used. Some embodiments use a temperature of about 41° C. Other embodiments use a temperature that is higher including for example about 45° C., about 50° C. or about 65° C. The solutions, including the wash buffers and the dNTP solutions, are generally warmed to these temperatures in order not to alter the temperature in the wells. The wash buffer containing apyrase however is preferably maintained at a lower temperature in order to extend the half-life of the enzyme. Typically, this solution is maintained at about 4-15° C., and more preferably 4-10° C.
  • As will be appreciated all of the foregoing methods may be automated such that the various biological and/or chemical reactions are performed via robotics. In addition, the information obtained via the signal from the chemFET (or chemFET array) may be provided to a personal computer, a personal digital assistant, a cellular phone, a video game system, or a television so that a user can monitor the progress of the sequencing reactions remotely. This process is illustrated, for example, in FIG. 71.
  • Diffusion Control
  • The nucleotide incorporation reaction can occur very rapidly. As a result, it may be desirable in some instances to slow the reaction down or to slow the diffusion of analytes in the well in order to ensure maximal data capture during the reaction. The diffusion of reagents and/or byproducts can be slowed down in a number of ways including but not limited to addition of packing beads in the wells, and/or the use of polymers such as polyethylene glycol in the wells (e.g., PEG attached to the capture beads and/or to packing beads). The packing beads also tend to increase the concentration of reagents and/or byproducts at the chemFET surface, thereby increasing the potential for signal. The presence of packing beads generally allows a greater time to sample (e.g., by 2- or 4-fold).
  • Data capture rates can vary and be for example anywhere from 10-100 frames per second and the choice of which rate to use will be dictated at least in part by the well size and the presence of packing beads or other diffusion limiting techniques. Smaller well sizes generally require faster data capture rates.
  • In some aspects of the invention that are flow-based and where the top face of the well is open and in communication with fluid over the entirety of the chip, it is important to detect the released hydrogen ion prior to its diffusion out of the well. Diffusion of reaction byproducts out of the well will lead to false negatives (because the byproduct is not detected in that well) and potential false positives in adjacent or downstream wells (where the byproduct may be detected), and thus should be avoided. Packing beads and/or polymers such as PEG may also help reduce the degree of diffusion and/or cross-talk between wells.
  • In addition to the nucleic acid loaded beads, each well may also comprise a plurality of smaller beads, referred to herein as “packing beads”. The packing beads may be composed of any inert material that does not interact or interfere with analytes, reagents, reaction parameters, and the like, present in the wells. The packing beads may be magnetic (including superparamagnetic) but they are not so limited. In some embodiments the packing beads and the capture beads are made of the same material (e.g., both are magnetic, both are polystyrene, etc.), while in other embodiments they are made of different materials (e.g., the packing beads are polystyrene and the capture beads are magnetic).
  • The packing beads are generally smaller than the capture beads. The difference in size may vary and may be 5-fold, 10-fold, 15-fold, 20-fold or more. As an example, 0.35 μm diameter packing beads can be used with 5.91 μm capture beads. Such packing beads are commercially available from sources such as Bang Labs.
  • The placement of the packing beads relative to the capture bead may vary. Packing beads may be positioned between the chemFET surface and the nucleic acid loaded bead, in which case they may be introduced into the wells before the nucleic acid loaded beads. In this way, the packing beads prevent contact and thus interference of the chemFET surface with the template nucleic acids bound to the capture beads. A layer of packing beads that is 0.1-0.5 μm in depth or height would preclude this interaction. The presence of packing beads between the capture bead and the chemFET surface may also slow the diffusion of the sequencing byproducts such as hydrogen ions, thereby facilitating data capture in some embodiments. Alternatively, the packing beads may be positioned all around the nucleic acid loaded beads, in which case they may be added to the wells before, during and/or after the nucleic acid loaded beads. In still other embodiments, the majority of the packing beads may be positioned on top of the nucleic acid loaded beads, in which case they may be added to the wells after the nucleic acid loaded beads. If placed above the nucleic acid loaded beads, the packing beads may act to minimize or prevent altogether dislodgement of nucleic acid loaded beads from wells. In still other embodiments, the reaction wells may comprise packing beads even if nucleic acid loaded beads are not used. It is to be understood that in other embodiments however packing beads are not required as there is no need to slow the diffusion of reaction byproducts such as hydrogen ions.
  • In some embodiments, diffusion may also be impacted by including in the reaction chambers viscosity increasing agents. An example of such an agent is a polymer that is not a nucleic acid (i.e., a non-nucleic acid polymer). The polymer may be naturally or non-naturally occurring, and it may be of any nature provided it does not interfere with nucleotide incorporation and/or excision and detection thereof except for slowing the diffusion of polymerase, released hydrogen ions, PPi, unincorporated nucleotides, and/or other reaction byproducts or reagents. An example of a suitable polymer is polyethylene glycol (PEG). Other ekamples include PEO, PEA, dextrans, acrylamides, celluloses (e.g. methyl cellulose), and the like. The polymer may be free in solution (e.g., PEG, DMSO, glycerol, and the like) or it may be immobilized (covalently or non-covalently) to one or more sides of the reaction chamber, to the capture bead (e.g., PEG, PEO, dextrans, and the like), and/or to any packing beads that may be present. Non-covalent attachment may be accomplished via a biotin-avidin interaction.
  • The invention further contemplates in some embodiments the use of soluble counterions that bind to released hydrogen ions and prevent their exit from the well. Counterions having a pKa that is close to the pH of the reaction are preferred. Examples of counterions with diffusion rates that are slower than that of protons (at both 25° C. and 37° C.) include without limitation Cl, H2PO4, HCO3 , acetate, butyrate, histidyl, formate, lactate, and the like. In some embodiments, the counterions are free in solution while in others they are immobilized on a solid support including without limitation reaction chamber walls. One of ordinary skill in the art will be able to select the most appropriate counterion and concentration based on its pKa and the pH at which the reaction is conducted, and the mobility of the counterion. It will be understood that various embodiments of the invention do not require the use of counterions.
  • Kits
  • The invention further contemplates kits comprising the various reagents necessary to perform a sequencing reaction and instructions of use according to the methods set forth herein.
  • One preferred kit comprises one or more containers housing wash buffer, one or more containers each containing one of the following reagents: dATP buffer, dCTP buffer, dGTP buffer or dTTP buffer, dATP, dCTP, dGTP and dTTP stocks, apyrase, SSB, polymerase, packing beads, and optionally pyrophosphatase. Importantly the kits may comprise only naturally occurring dNTPs. The kits may also comprise one or more wash buffers comprising components as described in the Examples, but are not so limited. The kits may also comprise instructions for use including diagrams that demonstrate the methods of the invention.
  • The following Examples are included for purposes of illustration and are not intended to limit the scope of the invention.
  • EXAMPLES
  • The Examples provide a proof of principle demonstration of the sequencing of four templates of known sequence. This artificial model is intended to show that embodiments of the apparatuses and systems described herein are able to readout nucleotide incorporation that correlates to the known sequence of the templates. This is not intended to represent typical use of the method or system in the field. The following is a brief description of these methods.
  • Example 1 Bead Preparation
  • Binding of Single-Stranded Oligonucleotides to Streptavidin-Coated Magnetic Beads. Single-stranded DNA oligonucleotide templates with a 5′ Dual Biotin tag (HPLC purified), and a 20-base universal primer were ordered from IDT (Integrated DNA Technologies, Coralville, Ind.). Templates were 60 bases in length, and were designed to include 20 bases at the 3′ end that were complementary to the 20-base primer (Table 4, italics). The lyophilized and biotinylated templates and primer were re-suspended in TE buffer (10 mM Tris-HCl, 1 mM EDTA, pH 8) as 40 μM stock solutions and as a 400 μM stock solution, respectively, and stored at −20° C. until use.
  • For each template, 60 μl of magnetic 5.91 μm (Bangs Laboratories, Inc. Fishers, Ind.) streptavidin-coated beads, stored as an aqueous, buffered suspension (8.57×104 beads/μL), at 4° C., were prepared by washing with 120 μl bead wash buffer three times and then incubating with templates 1, 2, 3 and 4 (T1, T2, T3, T4: Table 4) with biotin on the 5′ end, respectively.
  • Due to the strong covalent binding affinity of streptavidin for biotin (Kd ˜10-15), these magnetic beads are used to immobilize the templates on a solid support, as described below. The reported binding capacity of these beads for free biotin is 0.650 pmol/μL of bead stock solution. For a small (<100 bases) biotinylated ssDNA template, it was conservatively calculated that 9.1×105 templates could be bound per bead. The beads are easily concentrated using simple magnets, as with the Dynal Magnetic Particle Concentrator or MPC-s (Invitrogen, Carlsbad, Calif.). The MPC-s was used in the described experiments.
  • An MPC-s was used to concentrate the beads for 1 minute between each wash, buffer was then added and the beads were resuspended. Following the third wash the beads were resuspended in 120 μL bead wash buffer plus 1 μl of each template (40 μM). Beads were incubated for 30 minutes with rotation (Labquake Tube Rotator, Barnstead, Dubuque, Iowa). Following the incubation, beads were then washed three times in 120 μL Annealing Buffer (20 mM Tris-HCl, 5 mM magnesium acetate, pH 7.5), and re-suspended in 60 μL of the same buffer.
  • TABLE 4
    Sequences for Templates 1, 2, 3, and 4
    T1: 5′/52Bio/GCA AGT GCC CTT AGG CTT (SEQ ID NO: 1)
    CAG TTC AAA AGT CCT AAC TGG GCA
    AGG CAC ACA GGG GAT AGG-3′
    T2: 5′/52Bio/CCA TGT CCC CTT AAG CCC (SEQ ID NO: 2)
    CCC CCA TTC CCC CCT GAA CCC CCA
    AGG CAC ACA GGG GAT AGG-3′
    T3: 5′/52Bio/AAG CTC AAA AAC GGT AAA (SEQ ID NO: 3)
    AAA AAG CCA AAA AAC TGG AAA ACA
    AGG CAC ACA GGG GAT AGG-3′
    T4: 5′/52Bio/TTC GAG TTT TTG CCA TTT (SEQ ID NO: 4)
    TTT TTC GGT TTT TTG ACC TTT TCA
    AGG CAC ACA GGG GAT AGG-3′
  • Annealing of Sequencing Primer. The immobilized templates, bound at the 5′ end to 5.91 μm magnetic beads, are then annealed to a 20-base primer complementary to the 3′ end of the templates (Table 4). A 1.0 μL aliquot of the 400 μM primer stock solution, representing a 20-fold excess of primer to immobilized template, is then added and then the beads plus template are incubated with primer for 15 minutes at 95° C. and the temperature was then slowly lowered to room temperature. The beads were then washed 3 times in 120 μL of 25 mM Tricine buffer (25 mM Tricine, 0.4 mg/ml PVP, 0.1% Tween 20, 8.8 mM Magnesium Acetate; ph 7.8) as described above using the MPC-s. Beads were resuspended in 25 mM Tricine buffer.
  • Incubation of Hybridized Templates/Primer with DNA Polymerase. Template and primer hybrids are incubated with polymerase essentially as described by Margulies et al. Nature 2005 437(15):376-380 and accompanying supplemental materials.
  • Loading of Prepared Test Samples onto the ISFET Sensor Array. The dimensions and density of the ISFET array and the microfluidics positioned thereon may vary depending on the application. A non-limiting example is a 512×512 array. Each grid of such an array (of which there would be 262144) has a single ISFET. Each grid also has a well (or as they may be interchangeably referred to herein as a “microwell”) positioned above it. The well (or microwell) may have any shape including columnar, conical, square, rectangular, and the like. In one exemplary conformation, the wells are square wells having dimensions of 7×7×10 μm. The center-to-center distance between wells is referred to herein as the “pitch”. The pitch may be any distance although it is preferably to have shorter pitches in order to accommodate as large of an array as possible. The pitch may be less than 50 μm, less than 40 μm, less than 30 μm, less than 20 μm, or less than 10 μm. In one embodiment, the pitch is about 9 μm. The entire chamber above the array (within which the wells are situated) may have a volume of equal to or less than about 30 μL, equal to or less than about 20 μL, equal to or less than about 15 μL, or equal to or less than 10 μL. These volumes therefore correspond to the volume of solution within the chamber as well.
  • Loading of Beads in an ‘Open’ System. Beads with templates 1-4 were loaded on the chip (10 μL of each template). Briefly, an aliquot of each template was added onto the chip using an Eppendorf pipette. A magnet was then used to pull the beads into the wells.
  • Loading of Beads in a ‘Closed’ System. Both the capture beads the packing beads are loaded using flow. Microliter precision of bead solution volume, as well as positioning of the bead solution through the fluidics connections, is achieved as shown in FIGS. 62-70 using the bead loading fitting, which includes a major reservoir (approx. 1 mL in volume), minor reservoir (approx. 10 μL in volume), and a microfluidic channel for handling small volumes of bead solution. This method also leverages the microliter precision of fluid application allowed by precision pipettes.
  • The chip comprising the ISFET array and flow cell is seated in the ZIF (zero insertion force) socket of the loading fixture, then attaching a stainless steel capillary to one port of the flow cell and flexible nylon tubing on the other port. Both materials are microfluidic-type fluid paths (e.g., on the order of <0.01″ inner diameter). The bead loading fitting, consisting of the major and minor reservoirs, it attached to the end of the capillary. A common plastic syringe is filled with buffer solution, then connected to the free end of the nylon tubing. The electrical leads protruding from the bottom of the chip are inserted into a socket on the top of a fixture unit (not shown).
  • The chip comprising the ISFET array and flow cell is seated in a socket such as a ZIF (zero insertion force) socket of the loading fixture, then a stainless steel capillary may be attached to one port of the flow cell and flexible nylon tubing on the other port. Both materials are microfluidic-type fluid paths (e.g., on the order of <0.01″ inner diameter). The bead loading fitting, consisting of the major and minor reservoirs, it attached to the end of the capillary. A common plastic syringe is filled with buffer solution, then connected to the free end of the nylon tubing. The electrical leads protruding from the bottom of the chip are inserted into a socket on the top of a fixture unit (not shown).
  • It will be appreciated that there will be other ways of drawing the beads into the wells of the flow chamber, including centrifugation or gravity. The invention is not limited in this respect.
  • DNA Sequencing using the ISFET Sensor Array in an Open System. A illustrative sequencing reaction can be performed in an ‘open’ system (i.e., the ISFET chip is placed on the platform of the ISFET apparatus and then each nucleotide (5 μL, resulting in 6.5 μM each) is manually added in the following order: dATP, dCTP, dGTP and dTT (100 mM stock solutions, Pierce, Milwaukee, Wis.), by pipetting the given nucleotide into the liquid already on the surface of the chip and collecting data from the chip at a rate of 2.5 MHz. This can result in data collection over 7.5 seconds at approximately 18 frames/second. Data may then analyzed using LabView.
  • Given the sequences of the templates, it is expected that addition of dATP will result in a 4 base extension for template 4. Addition of dCTP will result in a 4 base extension in template 1. Addition of dGTP will cause template 1, 2 and 4 to extend as indicated in Table 5 and addition of dTTP will result in a run-off (extension of all templates as indicated).
  • Preferably when the method is performed in a non-automated manner (i.e., in the absence of automated flow and reagent introduction), each well contains apyrase in order to degrade the unincorporated dNTPs, or alternatively apyrase is added into each well following the addition and incorporation of each dNTP (e.g., dATP) and prior to the addition of another dNTP (e.g., dTTP). It is to be understood that apyrase can be substituted, in this embodiment or in any other embodiment discussed herein, with another compound (or enzyme) capable of degrading dNTPs.
  • TABLE 5
    Set-up of experiment and order of nucleotide addition.
    dATP dCTP dGTP dTTP
    T1 0 (3: C; 1 Run-off (25)
    1: A)4
    T2 0 0 4 Run-off (26)
    T3 0 0 0 Run-off (30)
    T4 4 0 2 Run-off (24)
  • DNA Sequencing Using Microfluidics on Sensor Chip. Sequencing in the flow regime is an extension of open application of nucleotide reagents for incorporation into DNA. Rather than add the reagents into a bulk solution on the ISFET chip, the reagents are flowed in a sequential manner across the chip surface, extending a single DNA base(s) at a time. The dNTPs are flowed sequentially, beginning with dTTP, then dATP, dCTP, and dGTP. Due to the laminar flow nature of the fluid movement over the chip, diffusion of the nucleotide into the microwells and finally around the nucleic acid loaded bead is the main mechanism for delivery. The flow regime also ensures that the vast majority of nucleotide solution is washed away between applications. This involves rinsing the chip with buffer solution and apyrase solution following every nucleotide flow. The nucleotides and wash solutions are stored in chemical bottles in the system, and are flowed over the chip using a system of fluidic tubing and automated valves. The ISFET chip is activated for sensing chemical products of the DNA extension during nucleotide flow.
  • Example 2 On-Chip Polymerase Extension Detected by pH Shift on an ISFET Array
  • Streptavidin-coated 2.8 micron beads carrying biotinylated synthetic template to which sequencing primers and T4 DNA polymerase are bound were subjected to three sequential flows of each of the four nucleotides. The template sequence downstream of the sequencing primer was a G(C)10(A)10 (SEQ ID NO:5). Each nucleotide cycle consisted of flows of dATP, dCTP, dGTP and dTTP, each interspersed with a wash flow of buffer only. Flows from the first cycle are shown in blue, flows from the second cycle in red, and the third cycle in yellow. As shown in FIG. 72A, signal generated for both of the two dATP flows were very similar. FIG. 72B shows that the first (blue) trace of dCTP is higher than the dCTP flows from subsequent cycles, corresponding to the flow in which the polymerase should incorporate a single nucleotide per template molecule. FIG. 72C shows that the first (blue) trace of dGTP is approximately 6 counts higher (peak-to-peak) than the dGTP flows from subsequent cycles, corresponding to the flow in which the polymerase should incorporate a string of 10 nucleotides per template molecule. FIG. 72D shows that the first (blue) trace of dTTP is also approximately 6 counts higher (peak-to-peak) than the dTTP flows from subsequent cycles, corresponding to the flow in which the polymerase should incorporate 10 nucleotides per template molecule.
  • Example 3 Sequencing in a Closed System and Data Manipulation
  • Sequence has been obtained from a 23-mer synthetic oligonucleotide and a 25-mer PCR product oligonucleotide. The oligonucleotides were attached to beads which were then loaded into individual wells on a chip having 1.55 million sensors in a 1348×1152 array having a 5.1 micron pitch (38400 sensors per mm2). About 1 million copies of the synthetic oligonucleotide were loaded per bead, and about 300000 to 600000 copies of the PCR product were loaded per bead. A cycle of 4 nucleotides through and over the array was 2 minutes long. Nucleotides were used at a concentration of 50 micromolar each. Polymerase was the only enzyme used in the process. Data were collected at 32 frames per second.
  • FIG. 73A depicts the raw data measured directly from an ISFET for the synthetic oligonucleotide (SE ID NO:6). One millivolt is equivalent to 68 counts. The data are sampled at each sensor on the chip (1550200 sensors on a 314 chip) many times per second. The Figure is color-coded for each nucleotide flow. With each nucleotide flow, several seconds of imaging occur. The graph depicts the concatenation of those individual measurements taken during each flow. The Y axis is in raw counts, and the X axis is in seconds. Superimposed just above the X axis are the expected incorporations at each flow.
  • FIG. 73B depicts the integrated value for each nucleotide flow, normalized to the template being sequenced. The integrated value is taken from the raw trace measurements shown in FIG. 73A, and the integral bounds have been chosen to maximize signal to noise ratio. The results have been normalized to the signal per base incorporation, and graphed per nucleotide flow. The Y axis is incorporation count, and the X axis is nucleotide flow number, alternating through TACG.
  • FIGS. 74A and 74B represent the same type of measurements taken and shown in FIGS. 73A and 73B, with the exception that the signal being detected here is from a PCR product (the 25-mer oligonucleotide, SEQ ID NO:7), rather than a synthetic oligonucleotide.
  • Improving Pixel and Array Signal-to-Noise Ratio
  • The reliability of signal decoding from each ISFET and from the ISFET array as a whole is dependent on the amplitude of the signal output by each ISFET, and its respective signal-to-noise ratio. Some changes to the foregoing fabrication methods, judicious materials selection, and changes to pixel and array design can be employed to increase considerably the output of the ISFETs in the array and decrease various noise sources. That is, these changes result in a more sensitive and more accurate sensor array. The improvements can be implemented individually or in various combinations, and can result in significant performance gains to the signal-to-noise ratio (SNR).
  • As more fully discussed below, the improvements involve: (1) over-coating (i.e., “passivating”) the sidewalls (typically formed of TEOS-oxide or another suitable material, as above-described) and sensor surface at the bottom of the microwells with various metal oxide or like materials, to improve their surface chemistry (i.e., make the sidewalls less reactive) and electrical properties; (2) thinning out the coating (deposition material) on the floating gate; (3) increasing the surface area for charge collection at the floating gate; (4) and modified array and pixels designs to reduce charge injection into the electrolyte and other noise sources.
  • Floating Gate Deposition Layer Material and Thickness
  • As illustrated in FIG. 75A, it is now appreciated that if a dielectric layer is added over the floating gate structure of the ISFET sensor arrangement, the path from the analyte to the ISFET gate may be modeled as a series connection of three capacitances: (1) the capacitance attributable to the above-described charge double layer at the analyte-dielectric layer interface (labeled CDL), (2) the capacitance due to the floating gate dielectric layer (CFGD), and (3) the gate oxide capacitance (COX). (Note that in the text above, the floating gate dielectric layer is sometimes referred to as a “passivation” layer. Here, we refer more specifically to the layer as a floating gate dielectric layer in order to avoid any suggestion that the material composition of the layer is necessarily related to the so-called passivation material(s) often used in CMOS processing (e.g., PECVD silicon nitride) to coat and protect circuit elements.) The series capacitance string extends between the liquid analyte 75-1 in the wells and the ISFET gate 75-2.
  • It is well known that capacitances in series form a capacitive voltage divider. Consequently, only a fraction of the signal voltage, VS, generated by or in the analyte, is applied to the gate oxide as the voltage VG that drives the ISFET. If we define the gate gain as VG/VS, one would ideally like to have unity gain—i.e., no signal loss across any of the three capacitances. Of course, unity gain is not achievable, but the actual gate gain can be optimized. The value of CDL is a function of material properties and is typically on the order of about 10-40 μF/cm2. The gate oxide capacitance is typically a very small value by comparison. Thus, by making CFGD much greater than the series combination of COX and CDL (for short, CFGD>>COX), the gate gain can be made to approach unity as closely as is practical.
  • To achieve the relationship CFGD>>COX, one can minimize COX, maximize CFGD, or both. There is not a lot that can be done to alter the gate oxide capacitance much when using standard CMOS foundry techniques to fabricate the ISFETs. That is, for practical reasons one must typically accept the gate oxide capacitance value as a “given.” Thus, emphasis may be placed on maximizing CFGD. Such maximization can be achieved by using a thin layer of high dielectric constant material, or by increasing the area of the floating gate metallization. Since increasing floating gate area conflicts with a goal of having a high density sensor array, attention has been focused on the dielectric layer.
  • Materials exist and may be used that have higher dielectric constants than the customary CMOS gate oxide material, silicon dioxide. So, if in the course of fabrication such a gate oxide material has been deposited onto the floating gate metallization, one may etch away that material, essentially eliminating it, and deposit a suitable high dielectric constant floating gate dielectric layer directly onto the floating gate metallization. Or, one may simply deposit such a floating gate dielectric layer directly onto the floating gate metallization without having to etch first. In either situation, there are then only two series capacitances that matter between the analyte and the ISFET gate, CDL and CFGD. Gate gain can then be maximized by making CFGD>>CDL. Thus, achieving a large value for CFGD is desirable, while also satisfying other requirements (e.g., reliable manufacture).
  • The capacitance CFGD is essentially formed by a parallel plate capacitor having the floating gate dielectric layer as its dielectric. Consequently, for a given plate (i.e., floating gate metallization) area, the parameters principally available for increasing the value of CFGD are (1) the thickness of the dielectric layer and (2) the selection of the dielectric material and, hence, its dielectric constant. The capacitance of the floating gate dielectric layer varies directly with its dielectric constant and inversely with its thickness. Thus, a thin, high-dielectric-constant layer would be preferred, to satisfy the objective of obtaining maximum gate gain.
  • One candidate for the floating gate dielectric layer material is the passivation material used by standard CMOS foundry processes. The standard (typically, PECVD nitride or, to be more precise, silicon nitride over silicon oxynitride) passivation layer is relatively thick when formed (e.g., about 1.3 μm), and typical passivation materials have a limited dielectric constant. A first improvement can be achieved by thinning the passivation layer after formation. This can be accomplished by etching back the CMOS passivation layer, such as by using an over-etch step during microwell formation, to etch into and consume much of the nitride passivation layer, leaving a thinner layer, such as a layer only about 200-600 Angstroms thick. While simple, this approach is prone to wafer-to-wafer etch variations, resulting in variability in the final passivation layer thickness and capacitance.
  • Two approaches have been at least partially evaluated for etching a standard CMOS passivation layer of silicon nitride deposited over silicon oxynitride. We call the first approach the “partial etch” technique. It involves etching away the silicon nitride layer plus approximately half of the silicon oxynitride layer before depositing the thin-film metal oxide sensing layer. The second approach we call the “etch-to-metal” technique. It involves etching away all of the silicon nitride and silicon oxynitride layers before depositing the thin-film metal oxide sensing layer. Theoretical modeling indicates that the partial etch approach should lead to an ISFET gate gain of about 0.42. This corresponds to an increase of signal level by about 50% compared with a non-etched passivation layer. With an ALD Ta2O5 thin-film sensing layer deposited over a “partial etch,” ISFET gains from about 0.37 to about 0.43 have been obtained empirically, with sensor sensitivities of about 15.02-17.08 mV/pH.
  • Theoretical modeling indicates that in the “etch-to-metal” approach with the same sensing layer, an ISFET gate gain of about 0.94 should be possible. This would correspond to a greater than three-fold increase in signal. With an imperfect etch process that does not produce a uniform etch across the surface of the floating gate, the empirically obtained gain has only been about 0.6, corresponding to a little more than doubling of the signal. With improved etch chemistry/process to obtain a more uniform and flat surface at the bottom of the well, a gain close to the model 0.94 gain should be possible.
  • One promising approach for improving the uniformity and flatness of the etch process is to perform two or more separate etches in series—i.e., use a multi-step etch process. A first etch step may be performed and the progress of that etch step may be monitored optically, at one or multiple wavelengths. When it is detected that the first step etch has exposed a part of the underlying metal surface, the first etch process can be stopped and a second process or step may be begun, using conditions that will remove the dielectric material without removing (much of) the metal.
  • An alternative to use of the foregoing etch processes is to simply deposit a thinner layer of dielectric (passivation) material in the first place, such as the indicated 200-600 Angstroms instead of the 1.3 μm of the conventional CMOS passivation process. Even better performance can be achieved with the use of other materials and deposition techniques to form a thin dielectric layer, preferably one of relatively higher dielectric constant. Among the materials believed useful for the floating gate dielectric layer are metal oxides such as tantalum oxide, tungsten oxide, aluminum oxide, and hafnium oxide, though other materials of dielectric constant greater than that of the usual silicon nitride passivation material may be substituted, provided that such material is sensitive to the ion of interest. The etch-to-metal approach is preferred, with the CMOS process' passivation oxide on the floating gate being etched completely away prior to depositing the floating gate dielectric material layer. That dielectric layer may be applied directly on the metal extended ISFET floating gate electrode. This will help maximize the value of the capacitance CFGD.
  • The etch-to-metal approach is preferred, with the CMOS process' passivation oxide on the floating gate being etched completely away prior to depositing the floating gate dielectric material layer. That dielectric layer may be applied directly on the metal extended ISFET floating gate electrode. This will help maximize the value of the capacitance CFGD.
  • Among the processes which may be used for depositing a thin layer of floating gate dielectric material are reactive or non-reactive sputtering, electron cyclotron resonance (ECR), e-beam evaporation, and atomic layer deposition (ALD), though any suitable technique may be employed. Each of the foregoing processes has well known characteristics. Importantly, however, these processes differ in their abilities to provide conformal and uniform films, which are qualities that may be important for some applications. Thus, all are usable, but they are not necessarily equally desirable. Of the four enumerated techniques, ALD appears to be superior with respect to the particular desired qualities. It is good for depositing layers whose thickness can be controlled precisely so that wafer-to-wafer repeatability is not a problem. Also, it is a low-temperature process that does not threaten the aluminum interconnects that typically already will have been formed on the wafer by the time the floating gate dielectric material layer is applied. ALD, moreover, promises to enable conformal, pinhole-free and crack-free film coverage on the well bottom, which is required; and it is compatible with extending the deposition from the well bottoms onto the high aspect ratio (i.e., steep) well sidewalls. Covering the sidewalls with a passivation or buffering layer will render them more inert to the analyte.
  • To create such structures, a layer of microwells should be formed on top of the ISFETs wherein the microwells are open at their bottoms. If the structure is to be formed without a floating gate dielectric layer other than a conventional passivation material over the floating gate, then the passivation material preferably should be partially etched down to the desired thinness. This alone increases the floating gate dielectric capacitance CFGD relative to CDL, improving gate gain. Optionally, a thin, higher-dielectric-constant layer may be deposited or otherwise formed over such passivation material.
  • The deposited layer should preferably be relatively thin—e.g., only about 200-600 Angstroms thick, possibly even less. As the thin layer of floating gate dielectric material is deposited over the well bottom onto the floating gate or its immediate coating layer, it also may be allowed to deposit conformally over the well sidewalls using, for example, the aforementioned ALD process.
  • The potential for improvement is considerable. As a starting point, consider one standard CMOS foundry passivation material, silicon nitride, Si3N4. This particular material has a sub-Nernstian response to pH. Consequently, the best response we have been able to measure is about 40 mV/pH for an ISFET sensor with a silicon nitride floating gate deposition layer (though some improvement might be obtainable with improved nitride deposition). This is considerably less than the ideal Nernstian response of 59 mV/pH at 25° C. Thus, about one-third of the signal voltage at the interface between the analyte and the floating gate deposition layer is lost due to use of materials with so great a sub-Nernstian response. Indeed, in one example, simulations indicated that a three-fold improvement in gate gain is possible with changes in both floating gate deposition material and floating gate deposition layer thickness, for the gate geometries studied. This was then corroborated empirically with electrical test results on a 400 Angstrom aluminum oxide (Al2O3) floating gate deposition material.
  • From available literature or experimentation, one can determine that in addition to Al2O3, there are other metal oxides that can be substituted for silicon nitride at the well bottom, to obtain a closer to Nernstian response. For example, Table 6 compares the pH response of ISFETs with various floating gate deposition oxides (specifically, SiO2, Si3N4, Al2O3 and Ta2O5, using published data.
  • TABLE 6
    Characteristic SiO2 Si3N4 Al2O3 Ta2O5
    pH range  4-10 1-13  1-13  1-13
    Sensitivity (mV/pH) 23-35 (pH > 7) 46-56  53-57 56-57
    37-48 (pH < 7)
    Sensitivity (mV/pX)
    Na+ 30-50 5-20 2 <1
    K+ 20-30 5-25 2 <1
    Response time
    (95%) (s) 1 <0.1 <0.1 <0.1
    (98%) (min) Undefined 4-10 2 1
    Drift (mV/hr, pH 1-7) Unstable 1.0 0.1-0.2 0.1-0.2
  • Of the four materials compared in Table 6, SiO2 had the lowest sensitivity to pH and no linear dependence on pH. The literature indicated that Si3N4 had higher sensitivities (46-56 mV/pH) but experiments have shown its performance to be dependent on the type of deposition technique and oxygen content. The best reported materials were Al2O3 and Ta2O5, which exhibited higher sensitivity in the ranges of 53-57 and 56-57 mV/pH, respectively. One other study has indicated that tungsten oxide, WO3, a material with a high dielectric constant (about 300), has a sensitivity of 50 mV/pH.
  • Consequently, the data indicates that using a floating gate deposition material such as Ta2O5, Al2O3, HfO3 or WO3 will result in a larger signal in response to pH changes. In other words, if it is assumed that the sensitivity of Ta2O5 is 56 mV/pH and that the Nernstian gain is defined as the material sensitivity divided by the ideal Nernstian response of 59 mV/pH at 25° C., then the Nernstian gain increases from 0.67 for Si3N4 to about 0.95-0.96 for Ta2O5,. Thus, with Ta2O5, only about 4-5% of the signal voltage is lost across the floating gate deposition layer.
  • The deposition of a thin film floating gate deposition layer over the side walls of the microwells provides a further benefit. By coating the walls with a material whose pKa value is more conducive to analyte pH conditions than the TEOS oxide sidewall above mentioned, the floating gate deposition material buffers the sidewalls so that surface reactions there capture fewer of the protons that otherwise would be available as signal generators once they reach the gate region.
  • Thus, the above-taught thin-film floating gate deposition layers provide a three-fold benefit: First, they enhance sensor performance at the sensor surface by providing a more reactive interface between the analyte and the ISFET gate (or, in other words, they are more Nernstian). Second, they serve as a replacement, thinner dielectric between the analyte and the metal ISFET gate (if directly applied to the metal) or between the analyte and the gate oxide (if applied over a gate oxide layer), thereby increasing the coupling capacitance and gate gain. Third, if also used to cover the microwell sidewalls, as would be typical for most deposition processes, they provide buffering by coating the TEOS-oxide sidewalls with a material whose pKa differs more substantially from the analyte pH than that of the sidewall material itself.
  • There are also materials such as Iridium oxide which provide super-Nernstian responses, which can provide a still further improvement in SNR if used as the thin film floating gate deposition layer. See, e.g., D. O. Wipf et al “Microscopic Measurement of pH with Iridium Oxide Microelectrodes,” Anal. Chem. 2000, 72, 4921-4927, and Y. J. Kim et al, “Configuration for Micro pH Sensor,” Electronics Letters, Vol. 39, No. 21 (Oct. 16, 2003).
  • FIGS. 75B-D model the dependence of gate gain on floating gate deposition layer thickness and material, assuming use of a conventional gate oxide, under differing conditions. The conditions for FIG. 75B are given in Table 7, below:
  • TABLE 7
    Gate oxide thickness (m) 7.70E−09, typ.
    ISFET gate length (m) 6.00E−07
    ISFET gate width (m) 1.20E−06
    ISFET gate area (m2) 7.20E−13
    ISFET gate capacitance (F) 3.23E−15
    ISFET sensor plate side length (m) 6.00E−06
    ISFET sensor plate area (m2) 3.60E−11
    ISFET sensor plate capacitance (F) 1.84E−15
  • The conditions for FIG. 75C are given in Table 8, below:
  • TABLE 8
    Gate oxide thickness (m) 7.70E−09, typ.
    ISFET gate length (m) 5.00E−07
    ISFET gate width (m) 1.20E−06
    ISFET gate area (m2) 6.00E−13
    ISFET gate capacitance (F) 2.69E−15
    ISFET sensor plate side length (m) 3.50E−06
    ISFET sensor plate area (m2) 1.23E−11
    ISFET sensor plate capacitance (F) 6.25E−16
  • The conditions for FIG. 75D are given in Table 9, below:
  • TABLE 9
    Gate oxide thickness (m) 3.80E−09
    ISFET gate length (m) 4.00E−07
    ISFET gate width (m) 7.00E−07
    ISFET gate area (m2) 2.80E−13
    ISFET gate capacitance (F) 2.54E−15
    ISFET sensor plate side length (m) 1.60E−06
    ISFET sensor plate area (m2) 2.56E−12
    ISFET sensor plate capacitance (F) 9.71E−17
  • The deposited ALD thin film layers discussed above, like all deposited thin-films, have an intrinsic stress and stress gradient resulting from material properties and/or deposition conditions. These properties can affect the adhesion of the deposited film to the underlying substrate (the floating gate metallization and microwell sidewalls). In the fabrication examples above, various metal-oxide ceramic materials are to be deposited onto silicon dioxide (i.e., the TEOS material of the microwells), silicon nitride (i.e., the remaining CMOS passivation material that has been etched through but which is still present on the bottom of the sidewalls) and aluminum (i.e., the metal ISFET floating gate electrode).
  • Some ALD processes involve depositing materials at temperatures below 400° C.; others, at temperatures above 400° C. As described above, an end-of-line forming gas anneal above 400° C. may be employed as part of the CMOS trapped charge neutralization process. The ALD layers deposited at temperatures less than this tend to delaminate or spall off the silicon dioxide sidewalls. It has been found empirically that Ta2O5 (deposited at 325° C.) spalls off the well sidewalls and Al2O3 (deposited at 460° C.) does not.
  • Two methods are proposed to correct this problem, as applied to fabricating an optimum microwell passivation/floating gate dielectric (protection) material into a microwell and onto an ISFET sensor gate. In a first method, a laminated film may be used to relieve the stress in the as-deposited metal oxide ceramic. In a second method, a glue layer is first deposited, having superior adhesion onto which a microwell passivation/floating gate dielectric (protection) material of optimum surface chemistry is deposited.
  • As an example, the laminate layer may be an approximately 400 Angstrom thick structure of alternating layers of Ta2O5, and Al2O3, (for instance, but not limited to, each about 10-20 Angstroms thick, or of different thicknesses). It is believed to be preferable to start with Al2O3 (as it exhibits better adhesion to oxide) and terminate with Ta2O5, (for its superior surface chemistry). The ALD process is ideally suited to this as film thicknesses can be controlled down to the atomic layer (i.e., a few Angstroms) and can be switched easily from one material to another simply by switching the precursor gasses introduced into the reactor system.
  • The overall stress of such a laminate layer would be a combination of the intrinsic stresses—compressive and tensile—of the individual layers. More than two materials could be used if, say, a tertiary laminate were required.
  • The “glue layer” idea is a more straight-forward implantation. First, a very thin (e.g., 50 Angstrom) layer of good adherent material (e.g., high temperature AlO2O3) may be deposited and then immediately following that, a thicker (e.g., 400 Angstrom) layer of Ta2O5.
  • Increasing Floating Gate Surface Area
  • The various metal oxide materials discussed above for improving the surface properties both of the well surface and/or of the sensor surface at the bottom of the well are not electrically conductive. However, one can create an extended floating gate electrode underneath such material, extending the electrically conductive properties of the ISFET gate electrode, by first depositing and planarize-etching a thin conformal metal coating prior to the “passivation” layer deposition. The removal via CMP (chemical-mechanical polishing) or other etch techniques of the thin-metal from the tops of the microwells would realize discrete electrically isolated wells having passivated gates consisting of substantially the entire interior surface area of the microwell sidewalls. This would increase the available surface area of the ISFET gate several fold'. Doing so would virtually eliminate “lost protons at microwell walls” (i.e., those protons emanating from the sequencing reaction on the bead and otherwise hitting the non-sensing microwell wall).
  • The extended floating gate dielectric capacitor would be formed (by, e.g., ALD) after microwell etch. Adjustments to the microwell lateral dimensions could be necessary, depending on the thickness of the thin-metal plus passivation layers being deposited, and the bead size.
  • FIG. 75E depicts diagrammatically two microwells 75E1 and 75E2 being formed with such an extended floating gate structure. As will become clear in a moment, the structures of FIG. 75E are in a partial state of completion. With reference to FIG. 75E, one possible sequence for fabricating the microwell structure with an extended gate electrode could be as follow: After forming the layer 75E3 of material (e.g., TEOS) which will provide the microwell walls, on top of a CMOS wafer wherein the ISFET structures have been formed, the areas that will become the wells are etched down to the metal layer, labeled M4, constituting the floating gate of the ISFETs. (Or, alternatively, if as stated above the microwells are formed directly in the CMOS passivation layer, layer 75E3 can be omitted and this and other passages referring to such a layer can be understood to refer instead to the passivation layer and formation of the microwells in the passivation layer, instead.) Next, using a process such as sputtering or ALD, a thin layer of metal (e.g., about 0.25-0.50 μm of aluminum, titanium, tantalum or other suitable material) is deposited to form a layer 74E4 in contact with the M4 layer, running over the bottom of the well and up the sidewalls. The thin metal layer will also cover the tops of the (e.g., TEOS) material between the microwells, forming an electrical short circuit between the wells, which will have to be removed. Next, one may optionally fill the wells with a suitable material such as various organic fill materials that are readily available, to prevent the next step from leaving unwanted debris in the microwells. The next step is to employ CMP or another suitable technique to planarize the top of the structure down to a level that exposes the tops of the microwells and the material layer 75E4 on the top of the sidewalls. Having thus exposed the metal layer 75E4, that metal is removed from the tops of the microwell array (especially the tops of the sidewalls and TEOS between the sidewalls) in any satisfactory way). For example, the metal 75E4′ at the top of the microwell structure (i.e., on the exterior top of the sidewalls) may be etched away or removed using metal CMP to further planarize the tops of the wells. Having removed the short circuit between the wells, the filler material, if used, is then removed. The extended gate metallization is then covered by application of the thin dielectric layer discussed above, 75E5, such as a tantalum pentoxide (Ta2O5) ALD passivation, using ALD, for example. The dielectric/passivation must cover all edges of layer 75E5 to avoid electrically short-circuiting wells via the analyte fluid.
  • As an alternate fabrication process, the removal of material 75E4′ could be done by patterning an inverse of the microwell pattern as a mask (i.e., opening the areas between the wells) and then using a standard metal etch.
  • The collection of all charge that reaches the microwell sidewalls, as well as its bottom, renders the pixels more sensitive to the reaction in the wells.
  • Another way to improve charge collection and sensitivity is to employ for the surfaces contacting the electrolyte a material that has a point of zero charge that matches the operating pH of the analyte.
  • Improved On-Chip Electronics
  • There are two key areas where the on-chip electronics can potentially be improved to increase the voltage signal gain and to reduce noise: the pixel circuit and the readout circuit.
  • Pixel Circuit
  • In a basic pixel circuit such as is illustrated above in FIG. 9, for example, the bulk potential of the ISFET 150 is taken to the highest circuit potential. Unfortunately, the threshold voltage VT of the device is affected by the potential difference between the source and bulk, VSB. This phenomenon is known as the body effect and is modeled as:

  • V T =V T0+γ(√{square root over ( )}(2|φF |+V SB)−√{square root over ( )}2|φF|
  • where VT0 is the threshold voltage when the source voltage is equal to the bulk potential, 2 is the surface potential at threshold, and γ is the body effect coefficient. Consequently, the threshold voltage will vary due to the body effect; and the ISFET source gain, defined as the ratio VSNG, will be less than the ideal value of unity. Although it cannot be measured directly, it is thought that the ISFET source gain is in the neighborhood of 0.9. In other words, up to 10% of the maximum voltage signal that could be measured may be lost due to the body effect.
  • If each ISFET is placed in its own n-well, and the source and bulk terminals are connected-together, then the body effect can be eliminated and an ISFET source gain of unity can be realized. Furthermore, if each ISFET is isolated from the rest of the chip by a reverse-biased diode between the n-well and the substrate, then the device will be less susceptible to substrate noise. In other words, the total ISFET noise should be lower if the device is located in its own n-well.
  • Reducing Injection of Noise into Electrolyte
  • A second aspect to improving the SNR is that of reducing noise. A major component of such noise is noise that is coupled into the analyte fluid by the pixels in every column of the array, due to the circuit dynamics. Two noise injection mechanisms have been identified: the drain side column buffer injects noise through each pixel and each row selection pumps charge into the fluid. These mechanisms are focused on the ISFET drain and on the ISFET source.
  • The ISFET Drain Problem
  • When a row is selected in the array, the drain terminal voltage shared between all of the ISFETs in a column moves up or down (as a necessary requirement of the source-and-drain follower). This changes the gate-to-drain capacitances of all of the unselected ISFETs in the column. In turn, this change in capacitance couples from the gate of every unselected ISFET into the fluid, ultimately manifesting itself as noise in the fluid (i.e., an incorrect charge, one not due to the chemical reaction being monitored). That is, any change in the shared drain terminal voltage can be regarded as injecting noise into the fluid by each and every unselected ISFET in the column. Hence, if the shared drain terminal voltage of the unselected ISFETs can be kept constant when selecting a row in the array, this mechanism of coupling noise into the fluid can be reduced or even effectively eliminated.
  • The ISFET Source Problem
  • When a row is selected in the array, the source terminal voltage of all of the unselected ISFETs in the column also changes. In turn, that changes the gate-to-source capacitance of all of these ISFETs in the column. This change in capacitance couples from the gate of every unselected ISFET into the fluid, again ultimately manifesting itself as noise in the fluid. That is, any change in the source terminal voltage of an unselected ISFET in the column can be regarded as an injection of noise into the fluid. Hence, if the source terminal voltage of the unselected ISFETs can be kept when selecting a row in the array, this mechanism of coupling noise into the fluid via can be reduced or even effectively eliminated.
  • A column buffer may be used with some passive pixel designs to alleviate the ISFET drain problem but not the ISFET source problem. Thus, a column buffer most likely is preferable to the above-illustrated source-and-drain follower. With the illustrated three-transistor passive pixels employing a source-and-drain follower arrangement, there are essentially two sense nodes, the ISFET source and drain terminals, By connecting the pixel to a column buffer and grounding the drain terminal of the ISFET, there will be only one sense node: the ISFET source terminal. So the drain problem is eliminated.
  • Active Pixel Design
  • All of the above-discussed passive pixels circuits present noise and scalability challenges. That is, increasing the size of the array typically leads to increased bus capacitance and a non-linear increase in power needs. Increasing readout speed comes at the expense of increased readout noise. Replacing passive ISFET pixels with active pixels, each having an active amplifier transistor as an integral element, can reduce noise coupled into the fluid, along with reducing readout noise, low frequency noise and fixed pattern noise. This approach, moreover, appears to provide a low-noise ISFET pixel that successfully eliminates both the ISFET drain problem and the ISFET source problem, the latter because the sense node (i.e., ISFET source terminal) is decoupled from the column bus.
  • Note that, to make a measurement, the sense node has to be connected to a current source, with current flowing. However, switching the current source off and on introduces a disturbance at its own to the sense node, and thus couples noise into the fluid. To avoid this problem and further improve the signal-to-noise ratio, a single transistor current source can be introduced into each active ISFET pixel. Current then would be flowing through every pixel in every column of the array all of the time. Of course, there are obvious implications for power consumption and it would be advisable to operate this current source transistor in sub-threshold mode to minimize power consumption.
  • Turning to FIG. 75F, there is shown a first example 75F1 of such an active pixel. The active pixel 75F1 has four transistors, 75F2-75F5, of which 75F2 is the ISFET, its floating gate being shown diagrammatically at 75F6. While the column bus 75F7 is decoupled from the sense node by source follower transistors 75F4 and 75F5 to reduce readout noise, switching the current source (not shown) on and off with transistor 75F3 introduces a disturbance at the sense node (the source of ISFET 75F2) which couples noise into the fluid.
  • A second example of a four-transistor active pixel 75G1 is shown in FIG. 75G. This pixel uses a single-MOSFET current source 75G3 to avoid introducing a disturbance at the sense node. The current source transistor can be operated as a reverse-biased diode (cutoff) or in sub-threshold mode to minimize power consumption.
  • By sharing some transistors between pixels, the average number of transistors per pixel, and hence pixel size, can be reduced. For example, see the arrangement of FIG. 75H, wherein transistors 75H1 and 75H2 are shared between four pixels 75H3-74H6, resulting in an average of 3.5 transistors per pixel.
  • An example of a six-transistor active pixel 75I0 is shown in FIG. 75I. In operation, the reset input 75I1 is enabled, transistor 75I3 is turned on and the resultant voltage from ISFET 75I2 is measured by the source follower transistors 75I4-75I5. The difference between the reset level and the signal level from ISFET 75I2 is the output of the sensor.
  • By taking two samples per pixel (i.e., using correlated double sampling (CDS), the six transistor pixel 75I0 can suppress 1/f noise, and fixed pattern noise due to threshold voltage variations.
  • As shown in FIG. 75J, the concept of sharing transistors among a group of pixels also can be applied to the six-transistor pixel example of FIG. 75I. By sharing three transistors 75I1, 75I4 and 75I5, four pixels 75J1-75J4 can have an average of 3.75 transistors each. The two sharing examples use four pixels but there is no reason transistors cannot be shared among a different number of pixels.
  • Moving from a passive pixel design to an active amplified pixel design thus improves the scalability of the design and reduces the readout noise. A single-MOSFET current source is required in each ISFET pixel to avoid coupling noise into the fluid. By increasing the number of transistors per pixel, correlated double sampling can be used at the pixel level to reduce flicker noise and fixed pattern noise. Further, the “shared pixel” concept can be used to reduce the effective number of transistors per pixel to achieve a smaller pixel size.
  • To reduce power consumption, the FETs (or selected ones of them) can be operated in the so-called “weak inversion” or “sub-threshold” mode.
  • Readout Circuit
  • The above-described readout circuit, which comprises both sample-and-hold and multiplexer blocks, also has a gain that is less than the ideal value of unity. Furthermore, the sample-and-hold block contributes a significant percentage of the overall chip noise, perhaps more than 25%. From switched-capacitor theory, the sample-and-hold “kT/C” noise is inversely proportional to capacitance. Hence, by choosing a larger capacitor, the sample-and-hold noise can be reduced. Another approach to reducing noise is to employ Correlated Double Sampling (CDS), where a second sample-and-hold and difference circuit is used to cancel out correlated noise. This approach is discussed at greater length, below.
  • Correlated Double Sampling
  • Correlated Double Sampling (CDS) is a known technique for measuring electrical values such as voltages or currents that allows for removal of an undesired offset. The output of the sensor is measured twice: once in a known condition and once in an unknown condition. The value measured from the known condition is then subtracted from the unknown condition to generate a value with a known relation to the physical quantity being measured. The challenge here is how to be efficient in implementing CDS and how to address both correlated noise and the minimization of noise injection into the analyte fluid.
  • A starting point is the sensor pixel and its readout configuration as expressed in earlier parts of this application. Referring to FIG. 77A, the basic passive sensor pixel 77A1 is a three-transistor arrangement of an ISFET 77A2 and a pair of row select transistors, 77A3 and 77A4 connected to the ISFET source. Transistor 77A3 is connected in turn to a current source or sink 77A5. A readout is obtained via transistor 77A4 which is connected to the input of sense amplifier 77A6. A diode-connected transistor 77A7 in series with another amplifier, 77A8, connects in a feedback loop from the output of the sense amplifier to the drain of the ISFET. The sense amplifier output is captured by a sample-and-hold circuit 77A9, which feeds an output amplifier 77A10.
  • As discussed above, the voltage changes on the ISFET source and drain inject noise into the analyte, causing errors in the sensed values. Two constructive modifications can reduce the noise level appreciably, as shown in FIG. 77B.
  • The first change is to alter the signals on the ISFET. The feedback loop to the drain of the ISFET is eliminated and the drain is connected to a stable voltage, such as ground. A column buffer 77B is connected to the emitter of transistor.
  • The second change is to include a circuit to perform CDS on the output of the column buffer. As mentioned above, CDS requires a first, reference value. This is obtained by connecting the input of column buffer 77B1 to a reference voltage via switch 77B2, during a first, or reference phase of a clock, indicated as the “SH” phase. A combined CDS and sample-and-hold circuit then double samples the output of the column buffer, obtaining a reference sample and a sensed value, performs a subtraction, and supplies a resulting noise-reduced output value, since the same correlated noise appears in the reference sample and in the sensor output.
  • The operation of the CDS and sample-and-hold circuit is straightforward. The circuit operates on a two-phase clock, the first phase being the SH phase and the second phase being the SHb phase. Typically, the phases will be symmetrical and thus inverted values of each other. The reference sample is obtained in the SH phase and places a charge (and thus a voltage) on capacitor Cin, which is subtracted from the output of the column buffer when the clock phase changes.
  • An alternative embodiment, still with a passive sensor pixel, is shown in FIG. 77C. The sensor pixel in this embodiment is a two-transistor circuit comprising ISFET whose drain is connected to a fixed supply voltage, VSSA. There is no transistor comparable to 77A4, and the pixel output is taken from the emitter of transistor 77A3, instead. The CDS and sample-and-hold circuit has been simplified slightly, by the elimination of a feedback loop, but it serves the same function, in conjunction with the charge (voltage) stored on capacitor Cbl, of subtracting a reference value on capacitor Cin from the signal supplied by the sensor pixel.
  • Digital Pixels and Readouts
  • As signal-to-noise ratios often can be improved by moving from the analog domain into the digital domain, we have also begun to explore the possibilities for creating digital ISFRT pixels and digital pixel readouts.
  • Consider first the architecture shown in FIG. 75K. There, a single analog-to-digital converter (ADC) 75K1 converts the analog output of a column addressing circuit 75K2, supplying output from pixel array 75K3, to digital form. Low fixed pattern noise is achievable but the operation of this architecture is low, the single ADC being a bottleneck. The frame rate is limited by the number of pixels and the time required for the ADC to complete one conversion. Thus, this architecture is not suitable for high resolutions.
  • To achieve higher throughput (i.e., frame rate), one ADC 75L11-75L1 n may be used for each column of the array 75K3, as illustrated in FIG. 75L. Indeed, the frame rate can be nearly n times faster. Instead of the ADC being a speed-limiting factor, frame rate can be limited by the output transfer capabilities of the array. The down-side, of course, is that power consumption is increased.
  • In either of these two cases, parallelism and frame rate can be increased by dividing the array into two groups (75M1, 75M2 in FIGS. 75M and 75N1, 75N2 in FIG. 75N), and reading out each group separately. Again, however, there is a power consumption penalty to be paid. Not illustrated in FIGS. 75M and 75N is a multiplexer which may be used, if desired to provide a single output stream (e.g., interleaving outputs of the first, or top, group with outputs of the second, or bottom, group).
  • To go more directly into the digital domain, one has to move from converting an analog array output into generating a digital output directly at each pixel. In general, this requires providing at each pixel some form of analog-to-digital conversion, and memory (at least 1-bit, for each). Converting the analog sensor signal to digital on an “in-pixel” basis creates an opportunity to achieve the largest possible signal-to-noise ration (SNR). It also is inherently scalable, allowing high speed, massively parallel readout of digital sensor data, with the frame rate limitations being dominated by array input/output (I/O) transfer speed, owing to the fact that all pixels are converting sensed values to digital form in parallel.
  • A basic digital pixel architecture 75O1 is as shown in FIG. 75O. It includes an ISFET 75O2, a current source 75O3, an ADC 75O4 and memory 75O5, whose operation is as discussed above. As with the above-discussed active ISFET pixels, the circuitry around the sense node (not shown in detail here, for clarity) preferably is chosen to avoid coupling noise into the fluid.
  • The concept of sharing circuitry between multiple pixels, to reduce the average chip area per pixel and to reduce the average and total power consumption, can be extended to digital pixel architectures, as well. For example, FIG. 75P depicts an ADC 75P1 and memory 75P2 being shared by four ISFET cells 75P3-75P6 or pixels (here using that term even though the ADC and memory are shared and not part of the cells within the dotted lines).
  • With such digital pixels formed into an array, from a readout perspective the array resembles a memory array. Thus, as shown in FIG. 75Q, when the individual pixels provide digital output values, row addressing circuitry 75Q1 and column sense amplifiers 75Q2 can provide the readout functionality from pixel array 75Q3, as they would in a memory array.
  • The approaches of FIGS. 75M and 75N—i.e., subdividing or segmenting the array and processing separately the subdivisions/segments—may be implemented with any suitable pixel architecture, such as those of FIGS. 77B and 77C, with digital or analog pixel output. For example, the output of the column mux 77B4 or 77C4 of each segment can be an input to a further multiplexer, not shown for selecting between segments to supply a common output.
  • Thus, a row and column addressing scheme allows selection of a variably sized sub-region within the array. This facilitates a trade-off of the size of the array being interrogated with the readout speed (i.e. frames per second). A faster sample rate can have a number of potential advantages:
  • 1.) A faster sample rate when combined with a digital filter can produce better signal-to-noise measurements for the pixels within the sub-region. For example, selecting a sub-region of one-fourth the array size would allow sample rates approximately four times higher for the pixels within the sub-region. A simple filter that averages four consecutive samples together would reduce the final sample rate back down to the nominal whole-array frame rate, but each measurement would only have approximately half the noise content.
  • 2.) The faster sample rate can be used to examine higher-frequency signals than would otherwise be possible at the nominal whole-array frame rate of the device. For example, selecting a sub-region of one-fourth the array size would allow sample rates approximately four times higher and the bandwidth limit for measured signals would be increased by a factor of four.
  • 3.) Both cases can be combined to provide both high-frequency response and higher SNR. For example, selecting a sub-region one-sixteenth the whole-array size would allow for both a two-fold increase in SNR and a four-fold increase in bandwidth.
  • In some applications, sensitivity and/or signal bandwidth may be more important than the number of active pixels. The availability of variable frame size (which might also be called flexible bandwidth allocation, or perhaps dynamic bandwidth allocation) is valuable in these situations.
  • With an appropriately segmented array, it would also be possible to perform a ‘rolling’ sequencing reaction across a large array. One would *slowly* flow dNTP across a large chip. As the wave of dNTP flows across the chip slowly, the sequencing reaction would only be occurring in a small region along the ‘front’ of the dNTP flow. In theory, it would be possible to synchronize sub-region oversampling with the dNTP front to get very accurate measurements of the entire array
  • Protection Diodes
  • To reduce possible gate oxide degradation during plasma processing (e.g., plasma etch, sputtering, PECVD, etc.), a well diode and/or a substrate diode may be employed, as illustrated in FIGS. 75R-75T.
  • In FIG. 75R, diode 75R1 between the gate 75R2 of ISFET 75R3 and the well 75R4 limits the voltage that can build up on the gate relative to the well. The “overhead” added in the form of real estate occupied is quite small. A typical ISFET, for example, might be 1.2×0.5 μm, and the diode might have a perimeter of about 2.8 μm and occupy only 0.49 pm2.
  • In FIG. 75S, diode 75S1 between the gate 75R1 of ISFET 75R3 and the substrate 75S2 limits the voltage that can build up on the gate relative to the substrate. The “overhead” added in the form of real estate occupied is quite small. A typical ISFET, for example, might be 1.2×0.5 μm, and the diode might have a perimeter of about 2.8 μm and occupy only 0.49 pm2.
  • As shown in FIG. 75T, both diodes can be used together and their total area might typically be only about 0.98 pm2.
  • Reference Electrode Alternatives: The Fluid-Fluid Interface
  • Performance of the instrument, over all, also can be enhanced with further attention to the reference electrode. With the above-described “simple” electrodes involving a metal tube, wire, etc. inserted into the flow cell, it has been observed that the reference potential introduced into the flow cell by such electrodes is not stable. It is sensitive to variations in fluid composition and pH. Accordingly, attention also has been given to devising an improved electrode arrangement, which can introduce a more stable reference potential.
  • With the simple electrode designs discussed above, the fluid-electrode interface influences the way the reference potential is transmitted into the fluid. That is, the interface potential between the fluid and the electrode fluctuates with the composition of the fluid (which may be somewhat turbulent and inhomogeneous), introducing a voltage offset to the potential of the bulk fluid which varies with time and possibly location, as well.
  • Considerably greater reference potential stability may be achieved by moving the location of the reference electrode so that it is substantially isolated from changes in fluid composition. This may be accomplished by introducing a conductive solution of a consistent composition over at least part of the surface of the electrode (hereafter the “electrode solution”), arranging the electrode to avoid it coming into direct contact with the fluid in the flow cell and, instead, arranging the electrode solution (not the electrode) to come into electrical contact with the fluid in the flow cell. The result is a transfer of the reference potential to the flow cell solution (be it a reagent or wash or other solution) that is considerably more stable than is obtained by direct insertion of an electrode into the flow cell solution. We refer to this arrangement as a liquid-liquid or fluid-fluid reference electrode interface.
  • The fluid-fluid interface may be created downstream from the flow cell, upstream from the flow cell, or in the flow cell. Examples of such alternative embodiments are shown in FIGS. 76A-76D.
  • Turning first to FIG. 76A, there is shown a diagrammatic illustration of an embodiment in which the fluid-fluid interface is created downstream from the flow cell. In this example, the flow cell apparatus 76A1 is, as above, mounted on a chip 76A2 which contains the sensor array (not shown). The flow cell apparatus includes an inlet port 76A3 and an outlet port 76A4. That is, the reagent fluids are introduced into port 76A3 via conduit 76A4 and they exit via port 76A4. A first port 76A6 of a fluid “Tee” connector 76A7 is coupled onto flow cell outlet port 76A4 via conventional couplings to receive the fluid exiting from the flow cell. A reference electrode such as a hollow electrically conductive tube 76A8 is fed into another port of the Tee connector via a fluid-tight coupling 79A9. The reference electrode is connected to a reference potential source 76A10 and a suitable electrode solution 76A11 is flowed into the center bore of the electrode tube.
  • Two modes of operation are possible. According to a first mode, the electrode solution may be flowed at a rate that is high enough to avoid backflow or diffusion from the fluid flowing out of the flow cell. According to a second mode, once the electrode solution has filled the electrode and come into contact with the outlet flow from the flow cell, a valve (not shown) may be closed to block further flow of the electrode solution into the electrode and, as the electrode solution is an incompressible liquid, there will be substantially no flow into or out of the electrode, yet the fluid-fluid interface will remain intact. This presumes, of course an absence of bubbles and other compressible components. For a fluid-fluid interface to take the place of a metal-fluid interface, the tip 76A12 of the electrode 76A8 is positioned to stop within the Tee connector short of the fluid flow out of the flow cell, so that it is the “electrode solution,” not the electrode itself, that meets the outlet flow from the flow cell, indicated at 76A13, and carries the reference potential from the electrode to the reagent solution exiting the flow cell. The two fluid streams interact in the Tee connector at 76A13 and if the electrode solution is flowing, it flows out the third port 76A14 of the Tee connector with the reagent flow, as a waste fluid flow, for disposal.
  • This approach eliminates interfacial potential changes at the electrode surface.
  • Using a fluid-fluid interface to convey a stable reference potential from a reference electrode to a flow cell, various alternative embodiments are possible.
  • In one alternative, illustrated in FIG. 76B, the referencing junction (i.e., the fluid-fluid interface) can be moved into the structure of the members forming the flow cell or even into the sensor chip itself, but with the electrode solution never entering the flow cell. For example, a manifold 76B1 may be formed in the flow cell assembly outside the flow chamber itself, having an inlet 76B2 for receiving electrode solution and an outlet 76B3 in fluid communication with the flow cell's outlet conduit 76A4. The electrode may be a separate element disposed in the manifold or it may be a metallization applied to an interior surface of the manifold.
  • Alternatively, the manifold can be formed in the substrate of the chip itself by fabricating in the substrate a hollow region which can serve as a conduit allowing fluid passage from an inlet end to an outlet end. An electrode may be inserted therein via a separate inlet port 76B2 or part of the (interior or exterior, as appropriate) surface of the conduit may be metalized during fabrication, to serve as the electrode. The flow path for reagent fluid to exit the flow chamber may include a conduit portion and the electrode conduit/manifold may deliver electrode solution to the reagent fluid outlet conduit, wherein the two fluids come into contact to provide the fluid-fluid interface that applies the reference electrode voltage to the flow cell.
  • In each instance, the electrode may be hollow and have the electrode solution delivered through its interior, or the electrode solution may be delivered over the exterior of the electrode. For example, as shown in FIG. 76B, the electrode may be hollow, such as being the interior surface of the manifold 76B1, and it may have an exterior that is insulated from the flow cell using any suitable structure and material (not shown, to avoid obfuscation of the basic idea).
  • The electrode assembly thus may be built into the sensor chip itself or into the flow cell or its housing, coupled with a fluid inlet through which electrode solution may be introduced. The flow path for reagent fluid to exit the flow chamber may include a conduit portion 76A4 into which the electrode solution is presented, and wherein the two fluid flows come into contact to provide the fluid-fluid interface. The electrode solution may flow or be static.
  • As a further alternative embodiment, depicted in FIG. 76C, the electrode structure may be integrated into or disposed within the flow cell itself. This may be done in two distinctly different ways. First, the electrode solution may be introduced into the flow chamber and flowed from an inlet 76B4 into the flow cell (provided for that purpose) to an outlet port 76A4 through which both the electrode solution and the reagent flow exit the flow chamber. If both fluids are arranged to move through the chamber in a laminar flow, they will not intermix (or there will be little mixing and interaction) until they reach the outlet. So there need not be a barrier between the two fluids. Their entire region of contact will be the locus of fluid-fluid interfacing, which may provide considerably more surface for that interface than the other illustrated alternatives. Second, a fluid conduit may be provided adjacent to the flow chamber or even fully or partly within the flow chamber, with a non-conductive exterior. The electrode may extend along the interior of the conduit, between an electrode fluid inlet and a fluid outlet that permits the electrode solution to interface with the reagent flow, such as in a common outlet conduit 76A4.
  • In the foregoing examples, the reference potential is introduced either in or downstream of the flow cell. However, the same approach is possible with the electrode provided upstream of the flow cell, as shown diagrammatically in FIG. 76D. There, 76A3 is the inlet port to the flow cell and 76A4 is the outlet port, as in FIG. 76A. A cross-connector 76D1 having four ports has a first port 76D2 coupled onto the inlet port. A second port, 76D3, receives the solution to be reacted or measured (e.g., a reagent) via inlet conduit 76A5. A third port, 76D4, is used as a waste outlet port. The fourth port, 76D5, receives the electrode in the same manner as previously shown in FIG. 76A. Within the cross-connector, the electrode solution and the solution to be reacted/measured interact to transmit the reference potential into the flow cell. In contrast with some of the other alternative embodiments, however, at least some implementations of this embodiment may require that the solution to be measured/reacted must have a sufficiently high flow rate as to prevent flow of the electrode solution into the flow chamber. However, with judicious configuring of the cross-connector, it may still be possible to avoid the need to flow electrode solution continuously.
  • Further Developments in Fluidics
  • The delivery of multiple reagent solutions (and wash solutions) in sequence to a common volume (i.e., flow cell or flow chamber) requires selective switching (i.e., multiplexing) the fluid flows. The multiplexing of fluid flows typically introduces characteristics that are undesirable in that they produce less than ideal results, including potential contamination of reagents, for example, and intervals during which sensor response is unusable or unreliable, reducing potential throughput. The volume of interest, specifically where various reagents must commonly flow to reach the flow cell, is relatively large. This competes with the requirement of cleanliness, as a previously flowing reagent must be completely washed out of the common volume before the next reagent can flow through it to the flow cell. This takes time and consumes wash solution. The characteristic of high volume usually stems from the bulk of valve mechanics that is used to operate the multiplexing action. The presence of valve mechanisms in or near the common volume also competes with the requirement of cleanliness directly, as the valves often present high surface area and/or crevice-type volumes that can retain unwanted reagents. Hence, it would be desirable to provide an improved switching mechanism for reagent flow, to reduce the time required for switching fluids and to minimize cross-contamination.
  • As exemplified in the embodiment illustrated in FIGS. 78A-78E, instead of multiplexing multiple reagents right at the location of valves used to control their flow, the reagents may be multiplexed downstream of the valving, within a passive micro-fluidic multiplexer circuit that acts as a kind of union. The challenge of presenting a union to multiple reagents is to deliver only a single selected reagent to the chip (i.e., flow cell) input, while having no diffusion-transported effluent from any other reagent input. A simple nodal junction would not satisfy this requirement, as all incoming reagent lines, not being shuttered by valves directly at the junction, could freely diffuse into one another. The disclosed fluidic circuits overcome this difficulty by employing laminar flow or fluid resistance networks to discard diffuse effluent to a waste location.
  • The multiplexer circuit comprises a (optional) housing 778A1 supporting a fluid multiplexer member 78A2 and having reagent input ports 78A3-78A6, a wash input port 78A7, a waste output port 78A8, a chip (flow cell) output port 78A9, a wash solution inlet port 78A10, a multi-use central port 78A11 and a multi-purpose outlet supply port 778A12. (Each reagent is treated in like fashion and the structure of the multiplexer member is the same for each reagent and for the wash solution, so the pertinent structure will be discussed in detail only for one reagent, it being understood that such discussion applies as well to the structures for the other solutions.) Each reagent input feeds into the underside of a corresponding curved (e.g., semi-circular) laminar channel such as channel 78B3, in FIG. 78B. Channel 78B3 may, for example, be on the order of 0.5 mm on a cross-sectional side and a curvature 5 mm in diameter. The ends of the laminar channel feed into two restriction channels (e.g., 78B3-a and 78B3-b), with reduced cross sectional area and length of approximately 1 cm. A first one of the restriction channels, 78B3-a, connects to an outer, circular channel, 78B10, which feeds the fluid flow to the waste outlet 78A8. The second of the restriction channels, 78B3-b, leads to directly to a port 78A11 in the center of the structure, extending downwardly in the drawing. Referring to FIGS. 78C and 78D (which show the multiplexer in reflection relative to FIGS. 78A and 78B), port 78A11 connects to a first leg 78B14 of a T-shaped conduit structure 78B16, which has a second leg 78B18 that receives the wash solution input and a third leg 78B20 that supplies solutions to the flow cell fluid input.
  • On each of the solution feeds, a two-way valve is employed (not shown), upstream of the multiplexer member.
  • There are two modes of operation for the multiplexer circuit. In a first mode, a reagent is introduced via the multiplexer to the chip. In a second mode, a wash solution clears the multiplexer and the chip.
  • In the first mode, the upstream valve on the wash solution input is turned off and no wash solution flows into conduit leg 78B18. Selection of a particular reagent is performed by opening its associated upstream valve. Downstream valves (also not shown, to avoid obfuscation) for both the chip and waste outlets are also opened. Two basic processes commence: a) referring to FIGS. 78C and 78E, the selected reagent entering via 78B3 is driven to the waste output in the multiplexer circuit, traveling in opposing directions from its point of entry and through both restriction channels 78B3-a and 78B3-b, and b) some typically smaller percentage of the reagent flows downward into port 78A11 into conduit 78B14 and thence upward into port 78A12 and through the chip output port 78A9 toward the chip. The restriction channels are intended to dominate the resistance of the system, albeit quite small, such that the reagent flow to waste is balanced between the two paths. While reagent traverses the laminar channel, it is possible for effluent from the other reagent inputs to diffuse into the reagent stream. However, as illustrated in FIG. 79, this diffuse effluent 79-2 remains in the lower lamina of the stream and continues on to the waste output along with the flow occurring via channel 78B3-b. That is, with no flows entering the other fluid inlet ports, the solution entering port 78A3, into channel 78B3, flows from channel 78B3-b to the waste port via the semicircular channels associated with each of the other inlet ports, sweeping out solutions that otherwise might diffuse into the incoming fluid. At the same time, a portion of the incoming reagent is directed toward the chip from the upper lamina, 79-4, where the concentration of effluent is close to zero, via aperture 78B25 into port 78A11 and thence as above described. A side view of this phenomenon is illustrated in FIG. 79.
  • Between reagent flows, wash solution is fed into the circuit, in the second mode. FIG. 78D illustrates the wash flow. Wash solution flows both to the chip via ports 78A10 and 78A9, and through the laminar channel structure to waste via port 78A8. In this way, both the chip and laminar channel structureare cleaned of the previous reagent material before a subsequent reagent is introduced. There is also a short priming period prior to reagent flow to the chip, where the reagent flows to waste while the chip is again washed. This brings the multiplexer to a state of stable concentration of the new reagent, while preventing reagent from immediately entering the chip.
  • The parameters indicated are merely suggested values, and may be adjusted through a large range.
  • When the reference electrode is place upstream of the flow cell, the port 78A9 provides a convenient location for its introduction.
  • The need for only two-way valves is advantageous from a simplicity point of view. Also, the valves can be located very remotely upstream of the multiplexer, and therefore can be placed in almost any location within the supporting instrument. The small physical size of the multiplexer, having no integrated valves or other bulky structures, suggests that it can be located directly at the chip location, greatly reducing the total common volume and providing high spatial and temporal gradients between wash solution and reagent.
  • Also feasible is a “two-dimensional” (i.e., thin, disc-like) version of this circuit that would allow tighter packing of reagent inputs, as indicated in FIGS. 80A and 80B at 80-1. This would be particularly useful if a very large number of reagents were required. Instead of flowing in only two opposite directions of a linear channel, such a device will permit radial flow across a circular channel. A shallow restrictive ring 80-2 replaces the restriction channels. A relatively deep and low resistance ring on the outermost section can serve as the waste output. Reagent inputs are supplied at 80-4 and the output is taken at 80-5.
  • A variation of this two-dimensional structure can be made which does not rely on laminar flow to separate out the diffuse effluent. The reagent inputs are essentially packed in a single circle centered on the chip output. Instead of a free and open two-dimensional channel throughout the circuit, narrow channels connect the reagent inputs to both the chip output and waste ring. When a particular reagent input flows, it enters the central node and both exits to the chip and sweeps past the other reagent inputs on its way to the waste ring. Diffuse effluent from those ports enters the stream to waste, but cannot diffuse upstream toward the chip output. The relative fluidic resistances of the various channels can be adjusted for various performances characteristics (effluent isolation, waste rate minimization, etc.).
  • EQUIVALENTS
  • While several inventive embodiments have been described and illustrated herein, those of ordinary skill in the art will readily envision a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein, and each of such variations and/or modifications is deemed to be within the scope of the inventive embodiments described herein. More generally, those skilled in the art will readily appreciate that all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the inventive teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific inventive embodiments described herein. It is, therefore, to be understood that the foregoing embodiments are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, inventive embodiments may be practiced otherwise than as specifically described and claimed. Inventive embodiments of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the inventive scope of the present disclosure.
  • All definitions, as defined and used herein, should be understood to control over dictionary definitions, definitions in documents incorporated by reference, and/or ordinary meanings of the defined terms.
  • All references, patents and patent applications disclosed herein are incorporated by reference with respect to the subject matter for which each is cited, which in some cases may encompass the entirety of the document.
  • The indefinite articles “a” and “an,” as used herein in the specification and in the claims, unless clearly indicated to the contrary, should be understood to mean “at least one.”
  • The phrase “and/or,” as used herein in the specification and in the claims, should be understood to mean “either or both” of the elements so conjoined, i.e., elements that are conjunctively present in some cases and disjunctively present in other cases. Multiple elements listed with “and/or” should be construed in the same fashion, i.e., “one or more” of the elements so conjoined. Other elements may optionally be present other than the elements specifically identified by the “and/or” clause, whether related or unrelated to those elements specifically identified. Thus, as a non-limiting example, a reference to “A and/or B”, when used in conjunction with open-ended language such as “comprising” can refer, in one embodiment, to A only (optionally including elements other than B); in another embodiment, to B only (optionally including elements other than A); in yet another embodiment, to both A and B (optionally including other elements); etc.
  • As used herein in the specification and in the claims, “or” should be understood to have the same meaning as “and/or” as defined above. For example, when separating items in a list, “or” or “and/or” shall be interpreted as being inclusive, i.e., the inclusion of at least one, but also including more than one, of a number or list of elements, and, optionally, additional unlisted items. Only terms clearly indicated to the contrary, such as “only one of” or “exactly one of,” or, when used in the claims, “consisting of,” will refer to the inclusion of exactly one element of a number or list of elements. In general, the term “or” as used herein shall only be interpreted as indicating exclusive alternatives (i.e. “one or the other but not both”) when preceded by terms of exclusivity, such as “either,” “one of,” “only one of,” or “exactly one of.” “Consisting essentially of,” when used in the claims, shall have its ordinary meaning as used in the field of patent law.
  • As used herein in the specification and in the claims, the phrase “at least one,” in reference to a list of one or more elements, should be understood to mean at least one element selected from any one or more of the elements in the list of elements, but not necessarily including at least one of each and every element specifically listed within the list of elements and not excluding any combinations of elements in the list of elements. This definition also allows that elements may optionally be present other than the elements specifically identified within the list of elements to which the phrase “at least one” refers, whether related or unrelated to those elements specifically identified. Thus, as a non-limiting example, “at least one of A and B” (or, equivalently, “at least one of A or B,” or, equivalently “at least one of A and/or B”) can refer, in one embodiment, to at least one, optionally including more than one, A, with no B present (and optionally including elements other than B); in another embodiment, to at least one, optionally including more than one, B, with no A present (and optionally including elements other than A); in yet another embodiment, to at least one, optionally including more than one, A, and at least one, optionally including more than one, B (and optionally including other elements); etc.
  • It should also be understood that, unless clearly indicated to the contrary, in any methods claimed herein that include more than one step or act, the order of the steps or acts of the method is not necessarily limited to the order in which the steps or acts of the method are recited.
  • In the claims, as well as in the specification above, all transitional phrases such as “comprising,” “including,” “carrying,” “having,” “containing,” “involving,” “holding,” “composed of,” and the like are to be understood to be open-ended, i.e., to mean including but not limited to. Only the transitional phrases “consisting of” and “consisting essentially of” shall be closed or semi-closed transitional phrases, respectively, as set forth in the United States Patent Office Manual of Patent Examining Procedures, Section 2111.03.

Claims (26)

1. A method for sequencing a nucleic acid comprising
contacting and incorporating known nucleotides into a plurality of identical nucleic acids in a reaction chamber in contact with or capacitively coupled to an ISFET, wherein the nucleic acids are covalently bound to a single bead in the reaction chamber, and
detecting hydrogen ions released upon nucleotide incorporation in the presence of no or limited buffering activity.
2. The method of claim 1, wherein the ISFET is in an ISFET array that comprises 256 ISFET.
3. (canceled)
4. The method of claim 1, 2 or 3, wherein the reaction chamber comprises a solution having a buffering inhibitor.
5. (canceled)
6. The method of claim 1, wherein the nucleic acids are sequencing primers.
7. The method of claim 6, wherein the nucleic acids are hybridized to template nucleic acids.
8. The method of claim 6, wherein the nucleic acids are hybridized to concatemers of identical template nucleic acids.
9. The method of claim 1, wherein the nucleic acids are self-priming template nucleic acids.
10.-11. (canceled)
12. The method of claim 1, wherein the nucleotides are unblocked.
13. The method of claim 1, wherein the nucleotides are not extrinsically labeled.
14.-15. (canceled)
16. The method of claim 1, wherein the ISFET is present in an ISFET array having a center-to-center spacing of 1-10 microns.
17. The method of claim 16, wherein the center-to-center spacing is about 9 microns, about 5.1 microns, or about 2.8 microns.
18.-23. (canceled)
24. The method of claim 1, wherein the bead has a diameter of about 1-7 microns.
25. A method for determining incorporation of a nucleotide triphosphate into a newly synthesized nucleic acid comprising
combining a known nucleotide triphosphate, a template/primer hybrid, a buffering inhibitor and a polymerase, in a solution in contact with or capacitively coupled to an ISFET, and
detecting a signal at the ISFET,
wherein detection of the signal indicates incorporation of the known nucleotide triphosphate into the newly synthesized nucleic acid.
26. The method of claim 25, wherein the signal indicates release of hydrogen ions as a result of nucleotide incorporation.
27. A method for synthesizing a nucleic acid comprising
incorporating nucleotides into a nucleic acid in the presence of a buffering inhibitor.
28. The method of claim 27, wherein the method further comprises detecting incorporation of nucleotides by detecting hydrogen ion release.
29. The method of claim 25, wherein the buffering inhibitor is a sulfonic acid surfactant.
30. The method of claim 29, wherein the sulfonic acid surfactant is poly(ethylene glycol) 4-nonylphenyl 3-sulfopropyl ether (PNSE) or a salt thereof.
31. The method of claim 25, wherein the buffering inhibitor is poly(styrenesulfonic acid), poly(diallydimethylammonium), or tetramethyl ammonium, or a salt thereof.
32. The method of claim 25, wherein the nucleic acid is a plurality of identical nucleic acids.
33.-154. (canceled)
US12/474,897 2008-10-22 2009-05-29 Methods and apparatus for measuring analytes Abandoned US20100137143A1 (en)

Priority Applications (67)

Application Number Priority Date Filing Date Title
US12/474,897 US20100137143A1 (en) 2008-10-22 2009-05-29 Methods and apparatus for measuring analytes
JP2011533178A JP2012506557A (en) 2008-10-22 2009-10-22 Integrated sensor arrays for biological and chemical analysis
US13/125,133 US8936763B2 (en) 2008-10-22 2009-10-22 Integrated sensor arrays for biological and chemical analysis
CN201410059756.3A CN103901090B (en) 2008-10-22 2009-10-22 Integrated sensor arrays for biological and chemical analysis
CN201410060447.8A CN103884760A (en) 2008-10-22 2009-10-22 Single-chip chemical measuring device and single-chip nucleic acid measuring device
CN2009801514071A CN102301228A (en) 2008-10-22 2009-10-22 Integrated sensor arrays for biological and chemical analysis
EP09822323.3A EP2342552B1 (en) 2008-10-22 2009-10-22 Floating gate chemical field effect transistor array with bilayer gate dielectric
PCT/US2009/005745 WO2010047804A1 (en) 2008-10-22 2009-10-22 Integrated sensor arrays for biological and chemical analysis
US12/785,667 US8546128B2 (en) 2008-10-22 2010-05-24 Fluidics system for sequential delivery of reagents
US12/785,716 US8673627B2 (en) 2009-05-29 2010-05-24 Apparatus and methods for performing electrochemical reactions
US12/785,685 US8574835B2 (en) 2009-05-29 2010-05-24 Scaffolded nucleic acid polymer particles and methods of making and using
EP10780933.7A EP2437590A4 (en) 2009-05-29 2010-05-27 Fluidics system for sequential delivery of reagents
CN201080029374.6A CN102484267B (en) 2009-05-29 2010-05-27 Apparatus and methods for performing electrochemical reactions
PCT/US2010/001553 WO2010138188A1 (en) 2009-05-29 2010-05-27 Apparatus and methods for performing electrochemical reactions
EP10780930.3A EP2435128B1 (en) 2009-05-29 2010-05-27 Apparatus for measuring analytes with an extended floating gate surface area
CN201080027723.0A CN102802402B (en) 2009-05-29 2010-05-27 Fluidics System For Sequential Delivery Of Reagents
JP2012513046A JP5458170B2 (en) 2009-05-29 2010-05-27 Fluidics system for continuous transport of reagents
EP19205891.5A EP3663750B1 (en) 2009-05-29 2010-05-27 Scaffolded nucleic acid polymer particles and methods of making and using
ES10780930T ES2928247T3 (en) 2009-05-29 2010-05-27 Apparatus for measuring analytes with an extended floating gate surface area
CN201410406758.5A CN104251875B (en) 2009-05-29 2010-05-27 Method and flow control apparatus for the fluid stream in controlling stream control loop
CN201510237687.5A CN104941701B (en) 2009-05-29 2010-05-27 Apparatus and methods for performing electrochemical reactions
PCT/US2010/001547 WO2010138186A1 (en) 2009-05-29 2010-05-27 Fluidics system for sequential delivery of reagents
EP17185272.6A EP3301104B1 (en) 2009-05-29 2010-05-27 Scaffolded nucleic acid polymer particles and methods of making and using
PCT/US2010/001543 WO2010138182A2 (en) 2009-05-29 2010-05-27 Methods and apparatus for measuring analytes
JP2012513048A JP2012528329A (en) 2009-05-29 2010-05-27 Apparatus and method for conducting electrochemical reactions
EP10780934.5A EP2435461B1 (en) 2009-05-29 2010-05-27 Scaffolded nucleic acid polymer particles and methods of making and using
EP10780935.2A EP2436075B1 (en) 2009-05-29 2010-05-27 Apparatus for performing multi-step electrochemical reactions with provision of a stable reference potential
EP22188998.3A EP4220146A1 (en) 2009-05-29 2010-05-27 Apparatus for measuring analytes with an extended floating gate surface area
PCT/US2010/001549 WO2010138187A1 (en) 2009-05-29 2010-05-27 Scaffolded nucleic acid polymer particles and methods of making and using
US13/026,707 US20110195252A1 (en) 2009-05-29 2011-02-14 Scaffolded Nucleic Acid Polymer Particles and Methods of Making and Using
US13/026,759 US20110195253A1 (en) 2009-05-29 2011-02-14 Scaffolded Nucleic Acid Polymer Particles and Methods of Making and Using
US13/027,500 US20110281737A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/027,336 US20110201523A1 (en) 2009-05-29 2011-02-15 Particle Arrays and Methods of Making and Using
US13/027,459 US20110275522A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/027,355 US20120094871A1 (en) 2009-05-29 2011-02-15 Particle Population and Methods of Making and Using
US13/027,420 US20110281741A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/029,664 US20110195459A1 (en) 2009-05-29 2011-02-17 Methods of Making Libraries of Nucleic Acids Using Porous Particles
US13/029,566 US20110201508A1 (en) 2009-05-29 2011-02-17 Methods of Using Porous Particles
US13/029,611 US20110201506A1 (en) 2009-05-29 2011-02-17 Methods of Primer Extension Using Porous Particle Supports
US13/245,684 US9149803B2 (en) 2008-10-22 2011-09-26 Fluidics system for sequential delivery of reagents
US13/245,649 US8846378B2 (en) 2008-10-22 2011-09-26 Fluidics system for sequential delivery of reagents
US13/612,742 US20130217004A1 (en) 2008-10-22 2012-09-12 Methods and apparatus for measuring analytes
US13/797,871 US20130210182A1 (en) 2008-10-22 2013-03-12 Methods and apparatus for measuring analytes
US13/797,865 US9944981B2 (en) 2008-10-22 2013-03-12 Methods and apparatus for measuring analytes
US14/044,712 US9249461B2 (en) 2009-05-29 2013-10-02 Scaffolded nucleic acid polymer particles and methods of making and using
JP2013210859A JP5760063B2 (en) 2009-05-29 2013-10-08 Fluidics system for continuous transport of reagents
US14/162,612 US11567029B2 (en) 2009-05-29 2014-01-23 Apparatus and methods for performing electrochemical reactions
US14/291,372 US9550183B2 (en) 2008-10-22 2014-05-30 Fluidics system for sequential delivery of reagents
US14/291,330 US20140261736A1 (en) 2008-10-22 2014-05-30 Fluidics system for sequential delivery of reagents
JP2014162210A JP5932915B2 (en) 2008-10-22 2014-08-08 Integrated sensor arrays for biological and chemical analysis
JP2015222025A JP6538526B2 (en) 2008-10-22 2015-11-12 Integrated sensor array for biological and chemical analysis
US14/987,552 US20160194629A1 (en) 2009-05-29 2016-01-04 Scaffolded nucleic acid polymer particles and methods of making and using
JP2016088964A JP2016185149A (en) 2008-10-22 2016-04-27 Integrated sensor arrays for biological and chemical analysis
US15/348,907 US10478816B2 (en) 2008-10-22 2016-11-10 Fluidics system for sequential delivery of reagents
US15/846,195 US20180179520A1 (en) 2009-05-29 2017-12-18 Scaffolded nucleic acid polymer particles and methods of making and using
JP2017251694A JP2018081105A (en) 2008-10-22 2017-12-27 Integrated sensor arrays for biological and chemical analysis
US15/971,857 US11137369B2 (en) 2008-10-22 2018-05-04 Integrated sensor arrays for biological and chemical analysis
US16/101,337 US11448613B2 (en) 2008-10-22 2018-08-10 ChemFET sensor array including overlying array of wells
US16/121,615 US10612017B2 (en) 2009-05-29 2018-09-04 Scaffolded nucleic acid polymer particles and methods of making and using
US16/687,672 US11040344B2 (en) 2008-10-22 2019-11-18 Fluidics system for sequential delivery of reagents
US16/841,546 US20200239877A1 (en) 2009-05-29 2020-04-06 Scaffolded nucleic acid polymer particles and methods of making and using
JP2020097451A JP7080923B2 (en) 2008-10-22 2020-06-04 Integrated sensor array for biological and chemical analysis
US17/304,452 US11951474B2 (en) 2008-10-22 2021-06-21 Fluidics systems for sequential delivery of reagents
US17/823,696 US11874250B2 (en) 2008-10-22 2022-08-31 Integrated sensor arrays for biological and chemical analysis
US18/077,404 US20230101252A1 (en) 2009-05-29 2022-12-08 Apparatus and methods for performing electrochemical reactions
US18/536,131 US20240201126A1 (en) 2008-10-22 2023-12-11 Methods and apparatus for measuring analytes
US18/629,059 US20240342709A1 (en) 2008-10-22 2024-04-08 Fluidics systems for sequential delivery of reagents

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US19695308P 2008-10-22 2008-10-22
US19822208P 2008-11-04 2008-11-04
US20562609P 2009-01-22 2009-01-22
US12/474,897 US20100137143A1 (en) 2008-10-22 2009-05-29 Methods and apparatus for measuring analytes

Related Parent Applications (2)

Application Number Title Priority Date Filing Date
US12/475,311 Continuation-In-Part US20100301398A1 (en) 2008-10-22 2009-05-29 Methods and apparatus for measuring analytes
US12/475,311 Continuation US20100301398A1 (en) 2008-10-22 2009-05-29 Methods and apparatus for measuring analytes

Related Child Applications (11)

Application Number Title Priority Date Filing Date
US12/475,311 Continuation-In-Part US20100301398A1 (en) 2008-10-22 2009-05-29 Methods and apparatus for measuring analytes
US12/475,311 Continuation US20100301398A1 (en) 2008-10-22 2009-05-29 Methods and apparatus for measuring analytes
PCT/US2009/005745 Continuation WO2010047804A1 (en) 2008-10-22 2009-10-22 Integrated sensor arrays for biological and chemical analysis
US13/125,133 Continuation US8936763B2 (en) 2008-10-22 2009-10-22 Integrated sensor arrays for biological and chemical analysis
US12/785,685 Continuation-In-Part US8574835B2 (en) 2009-05-29 2010-05-24 Scaffolded nucleic acid polymer particles and methods of making and using
US12/785,667 Continuation-In-Part US8546128B2 (en) 2008-10-22 2010-05-24 Fluidics system for sequential delivery of reagents
US12/785,716 Continuation-In-Part US8673627B2 (en) 2009-05-29 2010-05-24 Apparatus and methods for performing electrochemical reactions
US13/027,459 Continuation US20110275522A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/027,500 Continuation US20110281737A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/027,420 Continuation US20110281741A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/612,742 Continuation US20130217004A1 (en) 2008-10-22 2012-09-12 Methods and apparatus for measuring analytes

Publications (1)

Publication Number Publication Date
US20100137143A1 true US20100137143A1 (en) 2010-06-03

Family

ID=42223357

Family Applications (17)

Application Number Title Priority Date Filing Date
US12/474,897 Abandoned US20100137143A1 (en) 2008-10-22 2009-05-29 Methods and apparatus for measuring analytes
US13/125,133 Active 2030-02-22 US8936763B2 (en) 2008-10-22 2009-10-22 Integrated sensor arrays for biological and chemical analysis
US13/027,459 Abandoned US20110275522A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/027,500 Abandoned US20110281737A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/027,420 Abandoned US20110281741A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/612,742 Abandoned US20130217004A1 (en) 2008-10-22 2012-09-12 Methods and apparatus for measuring analytes
US13/797,871 Abandoned US20130210182A1 (en) 2008-10-22 2013-03-12 Methods and apparatus for measuring analytes
US13/797,865 Active 2032-11-14 US9944981B2 (en) 2008-10-22 2013-03-12 Methods and apparatus for measuring analytes
US14/599,948 Abandoned US20150197797A1 (en) 2008-10-22 2015-01-19 Integrated sensor arrays for biological and chemical analysis
US14/569,372 Abandoned US20150160154A1 (en) 2008-10-22 2015-01-21 Integrated sensor arrays for biological and chemical analysis
US14/862,930 Active US9964515B2 (en) 2008-10-22 2015-09-23 Integrated sensor arrays for biological and chemical analysis
US14/863,718 Abandoned US20160011145A1 (en) 2008-10-22 2015-09-24 Integrated sensor arrays for biological and chemical analysis
US15/051,084 Abandoned US20160168635A1 (en) 2008-10-22 2016-02-23 Integrated sensor arrays for biological and chemical analysis
US15/971,857 Active 2029-06-25 US11137369B2 (en) 2008-10-22 2018-05-04 Integrated sensor arrays for biological and chemical analysis
US16/101,337 Active 2030-01-11 US11448613B2 (en) 2008-10-22 2018-08-10 ChemFET sensor array including overlying array of wells
US17/823,696 Active US11874250B2 (en) 2008-10-22 2022-08-31 Integrated sensor arrays for biological and chemical analysis
US18/536,131 Pending US20240201126A1 (en) 2008-10-22 2023-12-11 Methods and apparatus for measuring analytes

Family Applications After (16)

Application Number Title Priority Date Filing Date
US13/125,133 Active 2030-02-22 US8936763B2 (en) 2008-10-22 2009-10-22 Integrated sensor arrays for biological and chemical analysis
US13/027,459 Abandoned US20110275522A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/027,500 Abandoned US20110281737A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/027,420 Abandoned US20110281741A1 (en) 2008-10-22 2011-02-15 Method and Apparatus for Rapid Nucleic Acid Sequencing
US13/612,742 Abandoned US20130217004A1 (en) 2008-10-22 2012-09-12 Methods and apparatus for measuring analytes
US13/797,871 Abandoned US20130210182A1 (en) 2008-10-22 2013-03-12 Methods and apparatus for measuring analytes
US13/797,865 Active 2032-11-14 US9944981B2 (en) 2008-10-22 2013-03-12 Methods and apparatus for measuring analytes
US14/599,948 Abandoned US20150197797A1 (en) 2008-10-22 2015-01-19 Integrated sensor arrays for biological and chemical analysis
US14/569,372 Abandoned US20150160154A1 (en) 2008-10-22 2015-01-21 Integrated sensor arrays for biological and chemical analysis
US14/862,930 Active US9964515B2 (en) 2008-10-22 2015-09-23 Integrated sensor arrays for biological and chemical analysis
US14/863,718 Abandoned US20160011145A1 (en) 2008-10-22 2015-09-24 Integrated sensor arrays for biological and chemical analysis
US15/051,084 Abandoned US20160168635A1 (en) 2008-10-22 2016-02-23 Integrated sensor arrays for biological and chemical analysis
US15/971,857 Active 2029-06-25 US11137369B2 (en) 2008-10-22 2018-05-04 Integrated sensor arrays for biological and chemical analysis
US16/101,337 Active 2030-01-11 US11448613B2 (en) 2008-10-22 2018-08-10 ChemFET sensor array including overlying array of wells
US17/823,696 Active US11874250B2 (en) 2008-10-22 2022-08-31 Integrated sensor arrays for biological and chemical analysis
US18/536,131 Pending US20240201126A1 (en) 2008-10-22 2023-12-11 Methods and apparatus for measuring analytes

Country Status (1)

Country Link
US (17) US20100137143A1 (en)

Cited By (903)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090127589A1 (en) * 2006-12-14 2009-05-21 Ion Torrent Systems Incorporated Methods and apparatus for measuring analytes using large scale FET arrays
US20100300559A1 (en) * 2008-10-22 2010-12-02 Ion Torrent Systems, Inc. Fluidics system for sequential delivery of reagents
US20110021366A1 (en) * 2006-05-03 2011-01-27 James Chinitz Evaluating genetic disorders
US20110092030A1 (en) * 2009-04-14 2011-04-21 NuPGA Corporation System comprising a semiconductor device and structure
US20110177520A1 (en) * 1999-10-06 2011-07-21 Daniel Henry Densham Dna sequencing method
US20110199116A1 (en) * 2010-02-16 2011-08-18 NuPGA Corporation Method for fabrication of a semiconductor device and structure
WO2011106629A2 (en) 2010-02-26 2011-09-01 Life Technologies Corporation Modified proteins and methods of making and using same
WO2011139371A1 (en) 2010-05-06 2011-11-10 Sequenta, Inc. Monitoring health and disease status using clonotype profiles
US20120001237A1 (en) * 2010-06-30 2012-01-05 Life Technologies Corporation Two-transistor pixel array
WO2012006222A1 (en) * 2010-07-03 2012-01-12 Life Technologies Corporation Chemically sensitive sensor with lightly doped drains
US20120035062A1 (en) * 2010-06-11 2012-02-09 Life Technologies Corporation Alternative nucleotide flows in sequencing-by-synthesis methods
US20120032235A1 (en) * 2010-08-09 2012-02-09 Manoj Bikumandla Backside Stimulated Sensor with Background Current Manipulation
WO2012024658A2 (en) 2010-08-20 2012-02-23 IntegenX, Inc. Integrated analysis system
WO2012036679A1 (en) 2010-09-15 2012-03-22 Life Technologies Corporation Methods and apparatus for measuring analytes
WO2012039812A1 (en) * 2010-09-24 2012-03-29 Life Technologies Corporation Matched pair transistor circuits
WO2012045012A2 (en) 2010-09-30 2012-04-05 Raindance Technologies, Inc. Sandwich assays in droplets
WO2012042399A1 (en) 2010-09-30 2012-04-05 Nxp B.V. Biosensor device and method
GB2484339A (en) * 2010-10-08 2012-04-11 Dna Electronics Ltd Electrostatic discharge protection
US20120157322A1 (en) * 2010-09-24 2012-06-21 Samuel Myllykangas Direct Capture, Amplification and Sequencing of Target DNA Using Immobilized Primers
WO2012092455A2 (en) 2010-12-30 2012-07-05 Life Technologies Corporation Models for analyzing data from sequencing-by-synthesis operations
WO2012092515A2 (en) 2010-12-30 2012-07-05 Life Technologies Corporation Methods, systems, and computer readable media for nucleic acid sequencing
WO2012109615A1 (en) 2011-02-10 2012-08-16 Life Technologies Corporation Purification systems and methods
WO2012112804A1 (en) * 2011-02-18 2012-08-23 Raindance Technoligies, Inc. Compositions and methods for molecular labeling
WO2012118555A1 (en) 2010-12-29 2012-09-07 Life Technologies Corporation Time-warped background signal for sequencing-by-synthesis operations
US8262900B2 (en) 2006-12-14 2012-09-11 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8263336B2 (en) 2009-05-29 2012-09-11 Life Technologies Corporation Methods and apparatus for measuring analytes
WO2012138921A1 (en) 2011-04-08 2012-10-11 Life Technologies Corporation Phase-protecting reagent flow orderings for use in sequencing-by-synthesis
WO2012138926A1 (en) 2011-04-08 2012-10-11 Life Technologies Corporation Methods and kits for breaking emulsions
WO2012145574A2 (en) 2011-04-20 2012-10-26 Life Technologies Corporation Methods, compositions and systems for sample deposition
WO2012149438A1 (en) 2011-04-28 2012-11-01 Life Technologies Corporation Methods and compositions for multiplex pcr
US20120280138A1 (en) * 2011-05-06 2012-11-08 Gwangju Institute Of Science And Technology Film member, film target for laser-driven ion acceleration, and manufacturing methods thereof
WO2012166647A1 (en) 2011-05-27 2012-12-06 Life Technologies Corporation Methods for manipulating biomolecules
US20120322167A1 (en) * 2011-06-17 2012-12-20 Chang Gung University Surface treatment method by using the nh3 plasma treatment to modify the sensing thin-film
US8349167B2 (en) 2006-12-14 2013-01-08 Life Technologies Corporation Methods and apparatus for detecting molecular interactions using FET arrays
WO2013010062A2 (en) 2011-07-14 2013-01-17 Life Technologies Corporation Nucleic acid complexity reduction
WO2013009175A1 (en) 2011-07-08 2013-01-17 Keygene N.V. Sequence based genotyping based on oligonucleotide ligation assays
WO2013019361A1 (en) 2011-07-07 2013-02-07 Life Technologies Corporation Sequencing methods
WO2013023220A2 (en) 2011-08-11 2013-02-14 Life Technologies Corporation Systems and methods for nucleic acid-based identification
WO2013023176A2 (en) 2011-08-10 2013-02-14 Life Technologies Corporation Polymerase compositions, methods of making and using same
DE102011112145A1 (en) * 2011-09-01 2013-03-07 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Cell culture container comprises cell compartment, in which cell culturing can be carried out, base plate having cell compartment with sensor, electronic module slot for receiving electronic module, and an electronic module
WO2013045939A1 (en) 2011-09-29 2013-04-04 Illumina, Inc. Continuous extension and deblocking in reactions for nucleic acid synthesis and sequencing
WO2013049227A2 (en) 2011-09-26 2013-04-04 Geneart Ag High efficiency, small volume nucleic acid synthesis
WO2013052825A1 (en) 2011-10-05 2013-04-11 Life Technologies Corporation Bypass for r-c filter in chemical sensor arrays
WO2013052837A1 (en) 2011-10-05 2013-04-11 Life Technologies Corporation Signal correction for multiplexer cross-talk in chemical sensor arrays
WO2013055553A1 (en) 2011-10-03 2013-04-18 Life Technologies Corporation Electric field directed loading of microwell array
US8427200B2 (en) 2009-04-14 2013-04-23 Monolithic 3D Inc. 3D semiconductor device
WO2013063382A2 (en) 2011-10-28 2013-05-02 Illumina, Inc. Microarray fabrication system and method
WO2013062687A1 (en) * 2011-10-28 2013-05-02 Intevac, Inc. Backside-thinned image sensor using a12o3 surface passivation
US8440542B2 (en) 2010-10-11 2013-05-14 Monolithic 3D Inc. Semiconductor device and structure
WO2013070627A2 (en) 2011-11-07 2013-05-16 Illumina, Inc. Integrated sequencing apparatuses and methods of use
US8450804B2 (en) 2011-03-06 2013-05-28 Monolithic 3D Inc. Semiconductor device and structure for heat removal
WO2013082619A1 (en) * 2011-12-01 2013-06-06 Genapsys, Inc. Systems and methods for high efficiency electronic sequencing and detection
WO2013081864A1 (en) 2011-11-29 2013-06-06 Life Technologies Corporation Methods and compositions for multiplex pcr
WO2013082164A1 (en) 2011-11-28 2013-06-06 Life Technologies Corporation Enhanced ligation reactions
US8461035B1 (en) 2010-09-30 2013-06-11 Monolithic 3D Inc. Method for fabrication of a semiconductor device and structure
WO2013085710A2 (en) 2011-12-09 2013-06-13 Illumina, Inc. Expanded radix for polymeric tags
US20130158378A1 (en) * 2011-09-22 2013-06-20 The Ohio State University Ionic barrier for floating gate in vivo biosensors
WO2013090469A1 (en) 2011-12-13 2013-06-20 Sequenta, Inc. Detection and measurement of tissue-infiltrating lymphocytes
US8470164B2 (en) 2008-06-25 2013-06-25 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8476145B2 (en) 2010-10-13 2013-07-02 Monolithic 3D Inc. Method of fabricating a semiconductor device and structure
WO2013104990A1 (en) 2012-01-09 2013-07-18 Oslo Universitetssykehus Hf Methods and biomarkers for analysis of colorectal cancer
US8492886B2 (en) 2010-02-16 2013-07-23 Monolithic 3D Inc 3D integrated circuit with logic
WO2013109559A1 (en) * 2012-01-19 2013-07-25 Life Technologies Corporation System and manufacturing method of the system comprising a sensor array and a well wall structure over the sensor array
WO2013109877A2 (en) 2012-01-19 2013-07-25 Life Technologies Corporation Chemical sensor with conductive cup-shaped sensor surface
WO2013119936A2 (en) 2012-02-09 2013-08-15 Life Technologies Corporation Hydrophilic polymeric particles and methods for making same
WO2013119956A1 (en) 2012-02-09 2013-08-15 Life Technologies Corporation Conjugated polymeric particle and method of making same
US20130210128A1 (en) * 2008-10-22 2013-08-15 Life Technologies Corporation Methods and apparatus for measuring analytes
WO2013124390A1 (en) * 2012-02-22 2013-08-29 Roche Diagnostics Gmbh System and method for generation and use of compact clonally amplified products
US8528589B2 (en) 2009-03-23 2013-09-10 Raindance Technologies, Inc. Manipulation of microfluidic droplets
WO2013134162A2 (en) 2012-03-05 2013-09-12 Sequenta, Inc. Determining paired immune receptor chains from frequency matched subunits
US8536023B2 (en) 2010-11-22 2013-09-17 Monolithic 3D Inc. Method of manufacturing a semiconductor device and structure
US8535889B2 (en) 2010-02-12 2013-09-17 Raindance Technologies, Inc. Digital analyte analysis
US8541819B1 (en) 2010-12-09 2013-09-24 Monolithic 3D Inc. Semiconductor device and structure
US8552771B1 (en) 2012-05-29 2013-10-08 Life Technologies Corporation System for reducing noise in a chemical sensor array
WO2013152114A1 (en) 2012-04-03 2013-10-10 The Regents Of The University Of Michigan Biomarker associated with irritable bowel syndrome and crohn's disease
US8557632B1 (en) 2012-04-09 2013-10-15 Monolithic 3D Inc. Method for fabrication of a semiconductor device and structure
WO2013158313A1 (en) 2012-04-19 2013-10-24 Life Technologies Corporation Nucleic acid amplification
US8574929B1 (en) 2012-11-16 2013-11-05 Monolithic 3D Inc. Method to form a 3D semiconductor device and structure
WO2013166444A2 (en) 2012-05-04 2013-11-07 Boreal Genomics Corp. Biomarker analysis using scodaphoresis
WO2013166302A1 (en) 2012-05-02 2013-11-07 Ibis Biosciences, Inc. Nucleic acid sequencing systems and methods
US8581349B1 (en) 2011-05-02 2013-11-12 Monolithic 3D Inc. 3D memory semiconductor device and structure
US8592221B2 (en) 2007-04-19 2013-11-26 Brandeis University Manipulation of fluids, fluid components and reactions in microfluidic systems
WO2013184796A1 (en) 2012-06-08 2013-12-12 Illumina, Inc. Polymer coatings
WO2013188582A1 (en) 2012-06-15 2013-12-19 Illumina, Inc. Kinetic exclusion amplification of nucleic acid libraries
EP2677306A1 (en) 2012-06-19 2013-12-25 Nxp B.V. Integrated circuit with ion sensitive sensor and manufacturing method
EP2677307A1 (en) 2012-06-21 2013-12-25 Nxp B.V. Integrated circuit with sensors and manufacturing method
WO2014005076A2 (en) 2012-06-29 2014-01-03 The Regents Of The University Of Michigan Methods and biomarkers for detection of kidney disorders
US8642416B2 (en) 2010-07-30 2014-02-04 Monolithic 3D Inc. Method of forming three dimensional integrated circuit devices using layer transfer technique
US8647577B2 (en) 2010-08-18 2014-02-11 Life Technologies Corporation Chemical coating of microwell for electrochemical detection device
US8658430B2 (en) 2011-07-20 2014-02-25 Raindance Technologies, Inc. Manipulating droplet size
US8664042B2 (en) 2009-10-12 2014-03-04 Monolithic 3D Inc. Method for fabrication of configurable systems
US8666678B2 (en) 2010-10-27 2014-03-04 Life Technologies Corporation Predictive model for use in sequencing-by-synthesis
US8669778B1 (en) 2009-04-14 2014-03-11 Monolithic 3D Inc. Method for design and manufacturing of a 3D semiconductor device
US8674470B1 (en) 2012-12-22 2014-03-18 Monolithic 3D Inc. Semiconductor device and structure
US8673627B2 (en) 2009-05-29 2014-03-18 Life Technologies Corporation Apparatus and methods for performing electrochemical reactions
WO2014043298A1 (en) 2012-09-14 2014-03-20 Life Technologies Corporation Systems and methods for identifying sequence variation associated with genetic diseases
WO2014043143A1 (en) 2012-09-11 2014-03-20 Life Technologies Corporation Nucleic acid amplification
US20140077063A1 (en) * 2012-09-20 2014-03-20 Aptina Imaging Corporation Imagers with stacked integrated circuit dies
CN103675024A (en) * 2012-09-08 2014-03-26 台湾积体电路制造股份有限公司 Direct sensing BioFET and methods of manufacture
US8686428B1 (en) 2012-11-16 2014-04-01 Monolithic 3D Inc. Semiconductor device and structure
US8687399B2 (en) 2011-10-02 2014-04-01 Monolithic 3D Inc. Semiconductor device and structure
WO2014062717A1 (en) 2012-10-15 2014-04-24 Life Technologies Corporation Compositions, methods, systems and kits for target nucleic acid enrichment
WO2014062835A1 (en) 2012-10-16 2014-04-24 Abbott Molecular Inc. Methods and apparatus to sequence a nucleic acid
US8709880B2 (en) 2010-07-30 2014-04-29 Monolithic 3D Inc Method for fabrication of a semiconductor device and structure
WO2014066217A1 (en) 2012-10-23 2014-05-01 Illumina, Inc. Hla typing using selective amplification and sequencing
WO2014074611A1 (en) 2012-11-07 2014-05-15 Good Start Genetics, Inc. Methods and systems for identifying contamination in samples
US8738300B2 (en) 2012-04-04 2014-05-27 Good Start Genetics, Inc. Sequence assembly
US8742476B1 (en) 2012-11-27 2014-06-03 Monolithic 3D Inc. Semiconductor device and structure
US8753913B2 (en) 2010-10-13 2014-06-17 Monolithic 3D Inc. Method for fabricating novel semiconductor and optoelectronic devices
US8754533B2 (en) 2009-04-14 2014-06-17 Monolithic 3D Inc. Monolithic three-dimensional semiconductor device and structure
US8772046B2 (en) 2007-02-06 2014-07-08 Brandeis University Manipulation of fluids and reactions in microfluidic systems
US8778848B2 (en) 2011-06-09 2014-07-15 Illumina, Inc. Patterned flow-cells useful for nucleic acid analysis
US8778609B1 (en) 2013-03-14 2014-07-15 Good Start Genetics, Inc. Methods for analyzing nucleic acids
US8776573B2 (en) 2009-05-29 2014-07-15 Life Technologies Corporation Methods and apparatus for measuring analytes
WO2014108810A2 (en) 2013-01-09 2014-07-17 Lumina Cambridge Limited Sample preparation on a solid support
WO2014116851A2 (en) 2013-01-25 2014-07-31 Illumina, Inc. Methods and systems for using a cloud computing environment to share biological related data
US8803206B1 (en) 2012-12-29 2014-08-12 Monolithic 3D Inc. 3D semiconductor device and structure
US8812422B2 (en) 2012-04-09 2014-08-19 Good Start Genetics, Inc. Variant database
US20140234981A1 (en) * 2011-09-30 2014-08-21 Stc.Unm Double gate ion sensitive field effect transistor
US8821798B2 (en) 2012-01-19 2014-09-02 Life Technologies Corporation Titanium nitride as sensing layer for microwell structure
WO2014133905A1 (en) 2013-02-26 2014-09-04 Illumina, Inc. Gel patterned surfaces
WO2014138153A1 (en) 2013-03-06 2014-09-12 Life Technologies Corporation Systems and methods for determining copy number variation
US20140274732A1 (en) * 2013-03-15 2014-09-18 Pacific Biosciences Of California, Inc. Methods and compositions for nucleic acid sequencing using electronic sensing elements
WO2014142841A1 (en) 2013-03-13 2014-09-18 Illumina, Inc. Multilayer fluidic devices and methods for their fabrication
WO2014142921A1 (en) 2013-03-14 2014-09-18 Illumina, Inc. Modified polymerases for improved incorporation of nucleotide analogues
US8841217B1 (en) 2013-03-13 2014-09-23 Life Technologies Corporation Chemical sensor with protruded sensor surface
US8841071B2 (en) 2011-06-02 2014-09-23 Raindance Technologies, Inc. Sample multiplexing
WO2014151961A1 (en) 2013-03-14 2014-09-25 Life Technologies Corporation Matrix arrays and methods for making same
WO2014149778A1 (en) 2013-03-15 2014-09-25 Life Technologies Corporation Chemical sensors with consistent sensor surface areas
WO2014152937A1 (en) 2013-03-14 2014-09-25 Ibis Biosciences, Inc. Nucleic acid control panels
WO2014160117A1 (en) 2013-03-14 2014-10-02 Abbott Molecular Inc. Multiplex methylation-specific amplification systems and methods
WO2014159495A1 (en) 2013-03-12 2014-10-02 Life Technologies Corporation Methods and systems for local sequence alignment
US8862410B2 (en) 2010-08-02 2014-10-14 Population Diagnostics, Inc. Compositions and methods for discovery of causative mutations in genetic disorders
US8858782B2 (en) 2010-06-30 2014-10-14 Life Technologies Corporation Ion-sensing charge-accumulation circuits and methods
US8871444B2 (en) 2004-10-08 2014-10-28 Medical Research Council In vitro evolution in microfluidic systems
US20140348707A1 (en) * 2013-04-21 2014-11-27 Oliver KING SMITH Ion sensitive device and method of fabrication
US8901613B2 (en) 2011-03-06 2014-12-02 Monolithic 3D Inc. Semiconductor device and structure for heat removal
US8902663B1 (en) 2013-03-11 2014-12-02 Monolithic 3D Inc. Method of maintaining a memory state
US8907442B2 (en) 2009-10-12 2014-12-09 Monolthic 3D Inc. System comprising a semiconductor device and structure
US20140364320A1 (en) * 2013-06-10 2014-12-11 Life Technologies Corporation Chemical Sensor Array Having Multiple Sensors Per Well
WO2015002908A1 (en) 2013-07-01 2015-01-08 Sequenta, Inc. Large-scale biomolecular analysis with sequence tags
WO2015002789A1 (en) 2013-07-03 2015-01-08 Illumina, Inc. Sequencing by orthogonal synthesis
WO2015002813A1 (en) 2013-07-01 2015-01-08 Illumina, Inc. Catalyst-free surface functionalization and polymer grafting
US8945912B2 (en) 2008-09-29 2015-02-03 The Board Of Trustees Of The University Of Illinois DNA sequencing and amplification systems using nanoscale field effect sensor arrays
US8956959B2 (en) 2010-10-11 2015-02-17 Monolithic 3D Inc. Method of manufacturing a semiconductor device with two monocrystalline layers
US8962366B2 (en) 2013-01-28 2015-02-24 Life Technologies Corporation Self-aligned well structures for low-noise chemical sensors
US8963216B2 (en) 2013-03-13 2015-02-24 Life Technologies Corporation Chemical sensor with sidewall spacer sensor surface
US8969002B2 (en) 2010-10-04 2015-03-03 Genapsys, Inc. Methods and systems for electronic sequencing
WO2015031849A1 (en) 2013-08-30 2015-03-05 Illumina, Inc. Manipulation of droplets on hydrophilic or variegated-hydrophilic surfaces
WO2015031689A1 (en) 2013-08-30 2015-03-05 Personalis, Inc. Methods and systems for genomic analysis
US8975670B2 (en) 2011-03-06 2015-03-10 Monolithic 3D Inc. Semiconductor device and structure for heat removal
US8987841B2 (en) * 2010-08-09 2015-03-24 Omnivision Technologies, Inc. Backside stimulated sensor with background current manipulation
US8987079B2 (en) 2009-04-14 2015-03-24 Monolithic 3D Inc. Method for developing a custom device
US8994404B1 (en) 2013-03-12 2015-03-31 Monolithic 3D Inc. Semiconductor device and structure
US20150091581A1 (en) * 2012-03-30 2015-04-02 Gene Onyx Limited Isfet array for detecting a single nucleotide polymorphism
WO2015048753A1 (en) 2013-09-30 2015-04-02 Seven Bridges Genomics Inc. Methods and system for detecting sequence variants
US9000557B2 (en) 2012-03-17 2015-04-07 Zvi Or-Bach Semiconductor device and structure
US9012390B2 (en) 2006-08-07 2015-04-21 Raindance Technologies, Inc. Fluorocarbon emulsion stabilizing surfactants
WO2015057635A1 (en) 2013-10-18 2015-04-23 The Regents Of The University Of Michigan Systems and methods for determining a treatment course of action
WO2015058097A1 (en) 2013-10-18 2015-04-23 Seven Bridges Genomics Inc. Methods and systems for identifying disease-induced mutations
US9029173B2 (en) 2011-10-18 2015-05-12 Monolithic 3D Inc. Method for fabrication of a semiconductor device and structure
WO2015088913A1 (en) 2013-12-09 2015-06-18 Illumina, Inc. Methods and compositions for targeted nucleic acid sequencing
WO2015095226A2 (en) 2013-12-20 2015-06-25 Illumina, Inc. Preserving genomic connectivity information in fragmented genomic dna samples
WO2015095355A2 (en) 2013-12-17 2015-06-25 The Brigham And Women's Hospital, Inc. Detection of an antibody against a pathogen
WO2015103367A1 (en) 2013-12-31 2015-07-09 Raindance Technologies, Inc. System and method for detection of rna species
US9080968B2 (en) 2013-01-04 2015-07-14 Life Technologies Corporation Methods and systems for point of use removal of sacrificial material
WO2015105963A1 (en) 2014-01-10 2015-07-16 Seven Bridges Genomics Inc. Systems and methods for use of known alleles in read mapping
WO2015107430A2 (en) 2014-01-16 2015-07-23 Oslo Universitetssykehus Hf Methods and biomarkers for detection and prognosis of cervical cancer
WO2015106941A1 (en) 2014-01-16 2015-07-23 Illumina Cambridge Limited Polynucleotide modification on solid support
WO2015108663A1 (en) 2014-01-16 2015-07-23 Illumina, Inc. Amplicon preparation and sequencing on solid supports
US9099424B1 (en) 2012-08-10 2015-08-04 Monolithic 3D Inc. Semiconductor system, device and structure with heat removal
WO2015113725A1 (en) 2014-02-03 2015-08-06 Thermo Fisher Scientific Baltics Uab Method for controlled dna fragmentation
WO2015123444A2 (en) 2014-02-13 2015-08-20 Illumina, Inc. Integrated consumer genomic services
US9116139B2 (en) 2012-11-05 2015-08-25 Illumina, Inc. Sequence scheduling and sample distribution techniques
US9116866B2 (en) 2013-08-21 2015-08-25 Seven Bridges Genomics Inc. Methods and systems for detecting sequence variants
US9117749B1 (en) 2013-03-15 2015-08-25 Monolithic 3D Inc. Semiconductor device and structure
US9116117B2 (en) 2013-03-15 2015-08-25 Life Technologies Corporation Chemical sensor with sidewall sensor surface
US9136153B2 (en) 2010-11-18 2015-09-15 Monolithic 3D Inc. 3D semiconductor device and structure with back-bias
US9150905B2 (en) 2012-05-08 2015-10-06 Adaptive Biotechnologies Corporation Compositions and method for measuring and calibrating amplification bias in multiplexed PCR reactions
US9177098B2 (en) 2012-10-17 2015-11-03 Celmatix Inc. Systems and methods for determining the probability of a pregnancy at a selected point in time
US9181590B2 (en) 2011-10-21 2015-11-10 Adaptive Biotechnologies Corporation Quantification of adaptive immune cell genomes in a complex mixture of cells
WO2015175691A1 (en) 2014-05-13 2015-11-19 Life Technologies Corporation Systems and methods for validation of sequencing results
WO2015175530A1 (en) 2014-05-12 2015-11-19 Gore Athurva Methods for detecting aneuploidy
US9197804B1 (en) 2011-10-14 2015-11-24 Monolithic 3D Inc. Semiconductor and optoelectronic devices
WO2015183871A1 (en) 2014-05-27 2015-12-03 Illumina, Inc. Systems and methods for biochemical analysis including a base instrument and a removable cartridge
US9206418B2 (en) 2011-10-19 2015-12-08 Nugen Technologies, Inc. Compositions and methods for directional nucleic acid amplification and sequencing
US20150355129A1 (en) * 2014-06-05 2015-12-10 Avails Medical, Inc. Systems and methods for detecting substances in bodily fluids
US20150362458A1 (en) * 2013-01-17 2015-12-17 Hitachi High-Technologies Corporation Biomolecule measuring device
WO2015191815A1 (en) 2014-06-13 2015-12-17 Life Technologies Corporation Multiplex nucleic acid amplification
US9219005B2 (en) 2011-06-28 2015-12-22 Monolithic 3D Inc. Semiconductor system and device
US9217132B2 (en) 2011-01-20 2015-12-22 Ibis Biosciences, Inc. Microfluidic transducer
WO2015200693A1 (en) 2014-06-27 2015-12-30 Illumina, Inc. Modified polymerases for improved incorporation of nucleotide analogues
WO2015200609A1 (en) 2014-06-26 2015-12-30 Illumina, Inc. Library preparation of tagged nucleic acid using single tube add-on protocol
WO2015200541A1 (en) 2014-06-24 2015-12-30 Bio-Rad Laboratories, Inc. Digital pcr barcoding
US9228233B2 (en) 2011-10-17 2016-01-05 Good Start Genetics, Inc. Analysis methods
WO2016003814A1 (en) 2014-06-30 2016-01-07 Illumina, Inc. Methods and compositions using one-sided transposition
EP2966180A1 (en) 2011-11-29 2016-01-13 Life Technologies Corporation Methods and compositions for multiplex pcr
WO2016014409A1 (en) 2014-07-21 2016-01-28 Illumina, Inc. Polynucleotide enrichment using crispr-cas systems
US9269982B2 (en) 2011-01-13 2016-02-23 Imergy Power Systems, Inc. Flow cell stack
WO2016026924A1 (en) 2014-08-21 2016-02-25 Illumina Cambridge Limited Reversible surface functionalization
US9274077B2 (en) 2011-05-27 2016-03-01 Genapsys, Inc. Systems and methods for genetic and biological analysis
US9273308B2 (en) 2006-05-11 2016-03-01 Raindance Technologies, Inc. Selection of compartmentalized screening method
WO2016040602A1 (en) 2014-09-11 2016-03-17 Epicentre Technologies Corporation Reduced representation bisulfite sequencing using uracil n-glycosylase (ung) and endonuclease iv
WO2016044141A1 (en) 2014-09-15 2016-03-24 Life Technologies Corporation Apparatuses, methods, systems, and computer-readable media for fluid potential artifact correction in reagent delivery systems
WO2016054096A1 (en) 2014-09-30 2016-04-07 Illumina, Inc. Modified polymerases for improved incorporation of nucleotide analogues
US9309569B2 (en) 2010-08-26 2016-04-12 Intelligent Bio-Systems, Inc. Methods and compositions for sequencing nucleic acid using charge
WO2016057902A1 (en) 2014-10-10 2016-04-14 Life Technologies Corporation Methods, systems, and computer-readable media for calculating corrected amplicon coverages
WO2016061484A2 (en) 2014-10-16 2016-04-21 Illumina, Inc. Optical scanning systems for in situ genetic analysis
WO2016060974A1 (en) 2014-10-13 2016-04-21 Life Technologies Corporation Methods, systems, and computer-readable media for accelerated base calling
US9328344B2 (en) 2006-01-11 2016-05-03 Raindance Technologies, Inc. Microfluidic devices and methods of use in the formation and control of nanoreactors
US9334491B2 (en) 2011-12-22 2016-05-10 Ibis Biosciences, Inc. Systems and methods for isolating nucleic acids from cellular samples
WO2016073237A1 (en) 2014-11-05 2016-05-12 Illumina Cambridge Limited Reducing dna damage during sample preparation and sequencing using siderophore chelators
US9340835B2 (en) 2013-03-15 2016-05-17 Boreal Genomics Corp. Method for separating homoduplexed and heteroduplexed nucleic acids
US9347099B2 (en) 2008-11-07 2016-05-24 Adaptive Biotechnologies Corp. Single cell analysis by polymerase cycling assembly
WO2016090266A1 (en) 2014-12-05 2016-06-09 Amyris, Inc. High-throughput sequencing of polynucleotides
US9364803B2 (en) 2011-02-11 2016-06-14 Raindance Technologies, Inc. Methods for forming mixed droplets
US9365901B2 (en) 2008-11-07 2016-06-14 Adaptive Biotechnologies Corp. Monitoring immunoglobulin heavy chain evolution in B-cell acute lymphoblastic leukemia
US9366632B2 (en) 2010-02-12 2016-06-14 Raindance Technologies, Inc. Digital analyte analysis
WO2016100438A2 (en) 2014-12-16 2016-06-23 Life Technologies Corporation Polymerase compositions and methods of making and using same
WO2016100196A1 (en) 2014-12-15 2016-06-23 Illumina, Inc. Compositions and methods for single molecular placement on a substrate
WO2016100895A1 (en) 2014-12-18 2016-06-23 Life Technologies Corporation Calibration panels and methods for designing the same
WO2016100467A1 (en) 2014-12-18 2016-06-23 Life Technologies Corporation High data rate integrated circuit with power management
US20160194629A1 (en) * 2009-05-29 2016-07-07 Life Technologies Corporation Scaffolded nucleic acid polymer particles and methods of making and using
US9394567B2 (en) 2008-11-07 2016-07-19 Adaptive Biotechnologies Corporation Detection and quantification of sample contamination in immune repertoire analysis
US9399217B2 (en) 2010-10-04 2016-07-26 Genapsys, Inc. Chamber free nanoreactor system
US9399797B2 (en) 2010-02-12 2016-07-26 Raindance Technologies, Inc. Digital analyte analysis
WO2016118719A1 (en) 2015-01-23 2016-07-28 Qiagen Sciences, Llc High multiplex pcr with molecular barcoding
US9416420B2 (en) 2008-11-07 2016-08-16 Adaptive Biotechnologies Corp. Monitoring health and disease status using clonotype profiles
US9434983B2 (en) 2011-05-27 2016-09-06 The Board Of Trustees Of The Leland Stanford Junior University Nano-sensor array
US9444880B2 (en) 2012-04-11 2016-09-13 Illumina, Inc. Cloud computing environment for biological data
US9448172B2 (en) 2003-03-31 2016-09-20 Medical Research Council Selection by compartmentalised screening
WO2016149261A1 (en) 2015-03-16 2016-09-22 Personal Genome Diagnostics, Inc. Systems and methods for analyzing nucleic acid
WO2016153999A1 (en) 2015-03-25 2016-09-29 Life Technologies Corporation Modified nucleotides and uses thereof
WO2016162309A1 (en) 2015-04-10 2016-10-13 Spatial Transcriptomics Ab Spatially distinguished, multiplex nucleic acid analysis of biological specimens
US9476812B2 (en) 2010-04-21 2016-10-25 Dna Electronics, Inc. Methods for isolating a target analyte from a heterogeneous sample
US9476853B2 (en) 2013-12-10 2016-10-25 Life Technologies Corporation System and method for forming microwells
WO2016183029A1 (en) 2015-05-11 2016-11-17 Illumina, Inc. Platform for discovery and analysis of therapeutic agents
US9498759B2 (en) 2004-10-12 2016-11-22 President And Fellows Of Harvard College Compartmentalized screening by microfluidic control
EP3095879A1 (en) 2012-04-19 2016-11-23 Life Technologies Corporation Nucleic acid amplification
US9509313B2 (en) 2009-04-14 2016-11-29 Monolithic 3D Inc. 3D semiconductor device
US9506113B2 (en) 2011-12-28 2016-11-29 Ibis Biosciences, Inc. Nucleic acid ligation systems and methods
US9506119B2 (en) 2008-11-07 2016-11-29 Adaptive Biotechnologies Corp. Method of sequence determination using sequence tags
US9515676B2 (en) 2012-01-31 2016-12-06 Life Technologies Corporation Methods and computer program products for compression of sequencing data
US9512487B2 (en) 2008-11-07 2016-12-06 Adaptive Biotechnologies Corp. Monitoring health and disease status using clonotype profiles
WO2016196358A1 (en) 2015-05-29 2016-12-08 Epicentre Technologies Corporation Methods of analyzing nucleic acids
US9528160B2 (en) 2008-11-07 2016-12-27 Adaptive Biotechnolgies Corp. Rare clonotypes and uses thereof
US9535920B2 (en) 2013-06-03 2017-01-03 Good Start Genetics, Inc. Methods and systems for storing sequence read data
US9541521B1 (en) * 2015-10-30 2017-01-10 Nxp Usa, Inc. Enhanced sensitivity ion sensing devices
JP2017006132A (en) * 2010-10-28 2017-01-12 ディーエヌエー エレクトロニクス エルティーディー Chemical sensing device
US9551704B2 (en) 2012-12-19 2017-01-24 Dna Electronics, Inc. Target detection
WO2017015018A1 (en) 2015-07-17 2017-01-26 Illumina, Inc. Polymer sheets for sequencing applications
US9558321B2 (en) 2014-10-14 2017-01-31 Seven Bridges Genomics Inc. Systems and methods for smart tools in sequence pipelines
WO2017019278A1 (en) 2015-07-30 2017-02-02 Illumina, Inc. Orthogonal deblocking of nucleotides
WO2017019456A2 (en) 2015-07-27 2017-02-02 Illumina, Inc. Spatial mapping of nucleic acid sequence information
US9562837B2 (en) 2006-05-11 2017-02-07 Raindance Technologies, Inc. Systems for handling microfludic droplets
US9562896B2 (en) 2010-04-21 2017-02-07 Dnae Group Holdings Limited Extracting low concentrations of bacteria from a sample
WO2017024017A1 (en) * 2015-08-06 2017-02-09 Pacific Biosciences Of California, Inc. Systems and methods for selectively addressing sparsely arranged electronic measurement devices
US9577642B2 (en) 2009-04-14 2017-02-21 Monolithic 3D Inc. Method to form a 3D semiconductor device
US9599610B2 (en) 2012-12-19 2017-03-21 Dnae Group Holdings Limited Target capture system
WO2017058810A2 (en) 2015-10-01 2017-04-06 Life Technologies Corporation Polymerase compositions and kits, and methods of using and making the same
US9646132B2 (en) 2012-05-11 2017-05-09 Life Technologies Corporation Models for analyzing data from sequencing-by-synthesis operations
US9650628B2 (en) 2012-01-26 2017-05-16 Nugen Technologies, Inc. Compositions and methods for targeted nucleic acid sequence enrichment and high efficiency library regeneration
GB2544683A (en) * 2010-10-08 2017-05-24 Dnae Group Holdings Ltd Electrostatic discharge protection
US9670538B2 (en) 2011-08-05 2017-06-06 Ibis Biosciences, Inc. Nucleic acid sequencing by electrochemical detection
US9671363B2 (en) 2013-03-15 2017-06-06 Life Technologies Corporation Chemical sensor with consistent sensor surface areas
WO2017100377A1 (en) 2015-12-07 2017-06-15 Zymergen, Inc. Microbial strain improvement by a htp genomic engineering platform
US9696302B2 (en) 2010-04-21 2017-07-04 Dnae Group Holdings Limited Methods for isolating a target analyte from a heterogeneous sample
WO2017120531A1 (en) 2016-01-08 2017-07-13 Bio-Rad Laboratories, Inc. Multiple beads per droplet resolution
WO2017139260A1 (en) 2016-02-08 2017-08-17 RGENE, Inc. Multiple ligase compositions, systems, and methods
US20170233797A1 (en) * 2012-05-25 2017-08-17 The University Of North Carolina At Chapel Hill Microfluidic Devices, Solid Supports for Reagents and Related Methods
US9745614B2 (en) 2014-02-28 2017-08-29 Nugen Technologies, Inc. Reduced representation bisulfite sequencing with diversity adaptors
WO2017147124A1 (en) 2016-02-24 2017-08-31 Seven Bridges Genomics Inc. Systems and methods for genotyping with graph reference
US9752185B2 (en) 2004-09-15 2017-09-05 Integenx Inc. Microfluidic devices
WO2017160788A2 (en) 2016-03-14 2017-09-21 RGENE, Inc. HYPER-THERMOSTABLE LYSINE-MUTANT ssDNA/RNA LIGASES
EP3223014A1 (en) 2010-09-24 2017-09-27 Full Spectrum Genetics, Inc. Method of analyzing binding interactions
WO2017165289A1 (en) 2016-03-25 2017-09-28 Qiagen Sciences, Llc Primers with self-complementary sequences for multiple displacement amplification
US9777340B2 (en) 2014-06-27 2017-10-03 Abbott Laboratories Compositions and methods for detecting human Pegivirus 2 (HPgV-2)
WO2017168332A1 (en) 2016-03-28 2017-10-05 Boreal Genomics, Inc. Linked duplex target capture
WO2017177017A1 (en) 2016-04-07 2017-10-12 Omniome, Inc. Methods of quantifying target nucleic acids and identifying sequence variants
WO2017180420A1 (en) 2016-04-11 2017-10-19 Board Of Regents, The University Of Texas System Methods and compositions for detecting single t cell receptor affinity and sequence
US9803231B2 (en) 2011-12-29 2017-10-31 Ibis Biosciences, Inc. Macromolecule delivery to nanowells
US9804069B2 (en) 2012-12-19 2017-10-31 Dnae Group Holdings Limited Methods for degrading nucleic acid
US9803188B2 (en) 2011-12-22 2017-10-31 Ibis Biosciences, Inc. Systems and methods for isolating nucleic acids
US9809852B2 (en) 2013-03-15 2017-11-07 Genapsys, Inc. Systems and methods for biological analysis
US9810610B2 (en) 2014-09-17 2017-11-07 Hologic, Inc. Method of partial lysis and assay
US9809813B2 (en) 2009-06-25 2017-11-07 Fred Hutchinson Cancer Research Center Method of measuring adaptive immunity
US9817944B2 (en) 2014-02-11 2017-11-14 Seven Bridges Genomics Inc. Systems and methods for analyzing sequence data
US9815916B2 (en) 2014-10-31 2017-11-14 Illumina Cambridge Limited Polymers and DNA copolymer coatings
WO2017197027A1 (en) 2016-05-11 2017-11-16 Illumina, Inc. Polynucleotide enrichment and amplification using argonaute systems
WO2017196676A1 (en) 2016-05-10 2017-11-16 Life Technologies Corporation Metal chelation post incorporation detection methods
US9822401B2 (en) 2014-04-18 2017-11-21 Genapsys, Inc. Methods and systems for nucleic acid amplification
US9822408B2 (en) 2013-03-15 2017-11-21 Nugen Technologies, Inc. Sequential sequencing
US9824179B2 (en) 2011-12-09 2017-11-21 Adaptive Biotechnologies Corp. Diagnosis of lymphoid malignancies and minimal residual disease detection
US9823217B2 (en) 2013-03-15 2017-11-21 Life Technologies Corporation Chemical device with thin conductive element
WO2017201315A1 (en) 2016-05-18 2017-11-23 Roche Sequencing Solutions, Inc. Quantitative real time pcr amplification using an electrowetting-based device
US9836577B2 (en) 2012-12-14 2017-12-05 Celmatix, Inc. Methods and devices for assessing risk of female infertility
US9835585B2 (en) 2013-03-15 2017-12-05 Life Technologies Corporation Chemical sensor with protruded sensor surface
EP3146075A4 (en) * 2014-05-19 2017-12-06 The Trustees of Columbia University in the City of New York Ion sensor dna and rna sequencing by synthesis using nucleotide reversible terminators
US9841398B2 (en) 2013-01-08 2017-12-12 Life Technologies Corporation Methods for manufacturing well structures for low-noise chemical sensors
US9839890B2 (en) 2004-03-31 2017-12-12 National Science Foundation Compartmentalised combinatorial chemistry by microfluidic control
EP3257952A1 (en) 2012-09-11 2017-12-20 Life Technologies Corporation Nucleic acid amplification
US9864846B2 (en) 2012-01-31 2018-01-09 Life Technologies Corporation Methods and computer program products for compression of sequencing data
US9871034B1 (en) 2012-12-29 2018-01-16 Monolithic 3D Inc. Semiconductor device and structure
WO2018013598A1 (en) 2016-07-12 2018-01-18 Qiagen Sciences, Llc Single end duplex dna sequencing
WO2018013558A1 (en) 2016-07-12 2018-01-18 Life Technologies Corporation Compositions and methods for detecting nucleic acid regions
WO2018018008A1 (en) 2016-07-22 2018-01-25 Oregon Health & Science University Single cell whole genome libraries and combinatorial indexing methods of making thereof
US9885352B2 (en) 2014-11-25 2018-02-06 Genia Technologies, Inc. Selectable valve of a delivery system
US9890425B2 (en) 2013-03-15 2018-02-13 Abbott Molecular Inc. Systems and methods for detection of genomic copy number changes
US9898575B2 (en) 2013-08-21 2018-02-20 Seven Bridges Genomics Inc. Methods and systems for aligning sequences
US9902949B2 (en) 2012-12-19 2018-02-27 Dnae Group Holdings Limited Methods for universal target capture
WO2018042251A1 (en) 2016-08-29 2018-03-08 Oslo Universitetssykehus Hf Chip-seq assays
US9914979B2 (en) 2013-03-04 2018-03-13 Fry Laboratories, LLC Method and kit for characterizing microorganisms
US9926597B2 (en) 2013-07-26 2018-03-27 Life Technologies Corporation Control nucleic acid sequences for use in sequencing-by-synthesis and methods for designing the same
WO2018057928A1 (en) 2016-09-23 2018-03-29 Grail, Inc. Methods of preparing and analyzing cell-free nucleic acid sequencing libraries
WO2018057770A1 (en) 2016-09-22 2018-03-29 Illumina, Inc. Somatic copy number variation detection
WO2018064311A2 (en) 2016-09-28 2018-04-05 Life Technologies Corporation Methods and systems for reducing phasing errors when sequencing nucleic acids using termination chemistry
US9945807B2 (en) 2010-10-04 2018-04-17 The Board Of Trustees Of The Leland Stanford Junior University Biosensor devices, systems and methods therefor
WO2018071522A1 (en) 2016-10-11 2018-04-19 Life Technologies Corporation Rapid amplification of nucleic acids
US9953925B2 (en) 2011-06-28 2018-04-24 Monolithic 3D Inc. Semiconductor system and device
US9951384B2 (en) 2012-01-13 2018-04-24 Data2Bio Genotyping by next-generation sequencing
US9957549B2 (en) 2012-06-18 2018-05-01 Nugen Technologies, Inc. Compositions and methods for negative selection of non-desired nucleic acid sequences
WO2018085862A2 (en) 2016-11-07 2018-05-11 Grail, Inc. Methods of identifying somatic mutational signatures for early cancer detection
US9970984B2 (en) 2011-12-01 2018-05-15 Life Technologies Corporation Method and apparatus for identifying defects in a chemical sensor array
US9976180B2 (en) 2012-09-14 2018-05-22 Population Bio, Inc. Methods for detecting a genetic variation in subjects with parkinsonism
EP3323897A1 (en) 2011-10-03 2018-05-23 Celmatix, Inc. Methods and devices for assessing risk to a putative offspring of developing a condition
US9988624B2 (en) 2015-12-07 2018-06-05 Zymergen Inc. Microbial strain improvement by a HTP genomic engineering platform
US20180158921A1 (en) * 2016-12-07 2018-06-07 Tsinghua University Thin film transistor and method for making the same
US9995742B2 (en) 2012-12-19 2018-06-12 Dnae Group Holdings Limited Sample entry
US10000557B2 (en) 2012-12-19 2018-06-19 Dnae Group Holdings Limited Methods for raising antibodies
US10000799B2 (en) 2014-11-04 2018-06-19 Boreal Genomics, Inc. Methods of sequencing with linked fragments
WO2018111872A1 (en) 2016-12-12 2018-06-21 Grail, Inc. Methods for tagging and amplifying rna template molecules for preparing sequencing libraries
WO2018118971A1 (en) 2016-12-19 2018-06-28 Bio-Rad Laboratories, Inc. Droplet tagging contiguity preserved tagmented dna
WO2018119399A1 (en) 2016-12-23 2018-06-28 Grail, Inc. Methods for high efficiency library preparation using double-stranded adapters
WO2018129314A1 (en) 2017-01-06 2018-07-12 Illumina, Inc. Phasing correction
WO2018128777A1 (en) 2017-01-05 2018-07-12 Illumina, Inc. Kinetic exclusion amplification of nucleic acid libraries
WO2018129214A1 (en) 2017-01-04 2018-07-12 Complete Genomics, Inc. Stepwise sequencing by non-labeled reversible terminators or natural nucleotides
WO2018136117A1 (en) 2017-01-20 2018-07-26 Omniome, Inc. Allele-specific capture of nucleic acids
WO2018136118A1 (en) 2017-01-20 2018-07-26 Omniome, Inc. Genotyping by polymerase binding
WO2018136416A1 (en) 2017-01-17 2018-07-26 Illumina, Inc. Oncogenic splice variant determination
US10036013B2 (en) 2013-08-19 2018-07-31 Abbott Molecular Inc. Next-generation sequencing libraries
WO2018140391A1 (en) 2017-01-24 2018-08-02 The Broad Institute, Inc. Compositions and methods for detecting a mutant variant of a polynucleotide
US10043781B2 (en) 2009-10-12 2018-08-07 Monolithic 3D Inc. 3D semiconductor device and structure
EP2702175B1 (en) 2011-04-25 2018-08-08 Bio-Rad Laboratories, Inc. Methods and compositions for nucleic acid analysis
US10052605B2 (en) 2003-03-31 2018-08-21 Medical Research Council Method of synthesis and testing of combinatorial libraries using microcapsules
US10055539B2 (en) 2013-10-21 2018-08-21 Seven Bridges Genomics Inc. Systems and methods for using paired-end data in directed acyclic structure
WO2018152162A1 (en) 2017-02-15 2018-08-23 Omniome, Inc. Distinguishing sequences by detecting polymerase dissociation
US10060916B2 (en) 2013-11-21 2018-08-28 Avails Medical, Inc. Electrical biosensor for detecting a substance in a bodily fluid, and method and system for same
WO2018156519A1 (en) 2017-02-21 2018-08-30 Illumina Inc. Tagmentation using immobilized transposomes with linkers
US10066259B2 (en) 2015-01-06 2018-09-04 Good Start Genetics, Inc. Screening for structural variants
US10066265B2 (en) 2014-04-01 2018-09-04 Adaptive Biotechnologies Corp. Determining antigen-specific t-cells
US10078724B2 (en) 2013-10-18 2018-09-18 Seven Bridges Genomics Inc. Methods and systems for genotyping genetic samples
WO2018175798A1 (en) 2017-03-24 2018-09-27 Life Technologies Corporation Polynucleotide adapters and methods of use thereof
WO2018175399A1 (en) 2017-03-24 2018-09-27 Bio-Rad Laboratories, Inc. Universal hairpin primers
WO2018183897A1 (en) 2017-03-31 2018-10-04 Grail, Inc. Higher target capture efficiency using probe extension
WO2018183942A1 (en) 2017-03-31 2018-10-04 Grail, Inc. Improved library preparation and use thereof for sequencing-based error correction and/or variant identification
WO2018183918A1 (en) 2017-03-30 2018-10-04 Grail, Inc. Enhanced ligation in sequencing library preparation
US20180290457A1 (en) * 2015-07-24 2018-10-11 Hewlett-Packard Development Company, L.P. Sensing a property and level of a fluid
US10100357B2 (en) 2013-05-09 2018-10-16 Life Technologies Corporation Windowed sequencing
EP3388442A1 (en) 2013-03-15 2018-10-17 Illumina Cambridge Limited Modified nucleosides or nucleotides
EP3388533A1 (en) 2012-07-13 2018-10-17 Life Technologies Corporation Human identification using a panel of snps
US10115663B2 (en) 2012-12-29 2018-10-30 Monolithic 3D Inc. 3D semiconductor device and structure
WO2018197945A1 (en) 2017-04-23 2018-11-01 Illumina Cambridge Limited Compositions and methods for improving sample identification in indexed nucleic acid libraries
US10125393B2 (en) 2013-12-11 2018-11-13 Genapsys, Inc. Systems and methods for biological analysis and computation
US10127344B2 (en) 2013-04-15 2018-11-13 Monolithic 3D Inc. Automation for monolithic 3D devices
WO2018213796A1 (en) 2017-05-19 2018-11-22 Zymergen Inc. Genomic engineering of biosynthetic pathways leading to increased nadph
US10144015B2 (en) 2013-11-11 2018-12-04 Life Technologies Corporation Rotor plate and bucket assembly and method for using same
US10144968B2 (en) 2015-07-02 2018-12-04 Life Technologies Corporation Conjugation of carboxyl functional hydrophilic beads
US10150993B2 (en) 2011-12-22 2018-12-11 Ibis Biosciences, Inc. Macromolecule positioning by electrical potential
US10150996B2 (en) 2012-10-19 2018-12-11 Adaptive Biotechnologies Corp. Quantification of adaptive immune cell genomes in a complex mixture of cells
US10150992B2 (en) 2015-07-06 2018-12-11 Life Technologies Corporation Substrates and methods useful in sequencing
WO2018226893A2 (en) 2017-06-06 2018-12-13 Zymergen Inc. A high-throughput (htp) genomic engineering platform for improving saccharopolyspora spinosa
WO2018226900A2 (en) 2017-06-06 2018-12-13 Zymergen Inc. A htp genomic engineering platform for improving fungal strains
WO2018226810A1 (en) 2017-06-06 2018-12-13 Zymergen Inc. High throughput transposon mutagenesis
WO2018226880A1 (en) 2017-06-06 2018-12-13 Zymergen Inc. A htp genomic engineering platform for improving escherichia coli
WO2018226708A1 (en) 2017-06-07 2018-12-13 Oregon Health & Science University Single cell whole genome libraries for methylation sequencing
WO2018227091A1 (en) 2017-06-08 2018-12-13 The Brigham And Women's Hospital, Inc. Methods and compositions for identifying epitopes
US10157909B2 (en) 2009-10-12 2018-12-18 Monolithic 3D Inc. 3D semiconductor device and structure
WO2018231818A1 (en) 2017-06-16 2018-12-20 Life Technologies Corporation Control nucleic acids, and compositions, kits, and uses thereof
US10162800B2 (en) 2012-10-17 2018-12-25 Celmatix Inc. Systems and methods for determining the probability of a pregnancy at a selected point in time
WO2018236631A1 (en) 2017-06-20 2018-12-27 Illumina, Inc. Methods and compositions for addressing inefficiencies in amplification reactions
WO2018236918A1 (en) 2017-06-20 2018-12-27 Bio-Rad Laboratories, Inc. Mda using bead oligonucleotide
US20180368744A1 (en) * 2017-06-26 2018-12-27 International Business Machines Corporation Urine catheter ph sensor
US10191071B2 (en) 2013-11-18 2019-01-29 IntegenX, Inc. Cartridges and instruments for sample analysis
US10192026B2 (en) 2015-03-05 2019-01-29 Seven Bridges Genomics Inc. Systems and methods for genomic pattern analysis
GB201820341D0 (en) 2018-12-13 2019-01-30 10X Genomics Inc Method for transposase-mediated spatial tagging and analysing genomic DNA in a biological specimen
GB201820300D0 (en) 2018-12-13 2019-01-30 10X Genomics Inc Method for spatial tagging and analysing genomic DNA in a biological specimen
WO2019028047A1 (en) 2017-08-01 2019-02-07 Illumina, Inc Spatial indexing of genetic material and library preparation using hydrogel beads and flow cells
WO2019027767A1 (en) 2017-07-31 2019-02-07 Illumina Inc. Sequencing system with multiplexed biological sample aggregation
WO2019028166A1 (en) 2017-08-01 2019-02-07 Illumina, Inc. Hydrogel beads for nucleotide sequencing
US10202642B2 (en) 2012-05-02 2019-02-12 Ibis Biosciences, Inc. DNA sequencing
US10208350B2 (en) 2014-07-17 2019-02-19 Celmatix Inc. Methods and systems for assessing infertility and related pathologies
US10208339B2 (en) 2015-02-19 2019-02-19 Takara Bio Usa, Inc. Systems and methods for whole genome amplification
US10208332B2 (en) 2014-05-21 2019-02-19 Integenx Inc. Fluidic cartridge with valve mechanism
WO2019035897A1 (en) 2017-08-15 2019-02-21 Omniome, Inc. Scanning apparatus and methods useful for detection of chemical and biological analytes
US10217667B2 (en) 2011-06-28 2019-02-26 Monolithic 3D Inc. 3D semiconductor device, fabrication method and system
US10221461B2 (en) 2012-10-01 2019-03-05 Adaptive Biotechnologies Corp. Immunocompetence assessment by adaptive immune receptor diversity and clonality characterization
US10224279B2 (en) 2013-03-15 2019-03-05 Monolithic 3D Inc. Semiconductor device and structure
US10227635B2 (en) 2012-04-16 2019-03-12 Molecular Loop Biosolutions, Llc Capture reactions
US10233495B2 (en) 2012-09-27 2019-03-19 The Hospital For Sick Children Methods and compositions for screening and treating developmental disorders
WO2019055819A1 (en) 2017-09-14 2019-03-21 Grail, Inc. Methods for preparing a sequencing library from single-stranded dna
US10240205B2 (en) 2017-02-03 2019-03-26 Population Bio, Inc. Methods for assessing risk of developing a viral disease using a genetic test
CN109564218A (en) * 2016-06-10 2019-04-02 昆士兰大学 Detecting analytes
US10246701B2 (en) 2014-11-14 2019-04-02 Adaptive Biotechnologies Corp. Multiplexed digital quantitation of rearranged lymphoid receptors in a complex mixture
US10246705B2 (en) 2011-02-10 2019-04-02 Ilumina, Inc. Linking sequence reads using paired code tags
WO2019067973A1 (en) 2017-09-28 2019-04-04 Grail, Inc. Enrichment of short nucleic acid fragments in sequencing library preparation
US10254242B2 (en) 2014-06-04 2019-04-09 Life Technologies Corporation Methods, systems, and computer-readable media for compression of sequencing data
US10275567B2 (en) 2015-05-22 2019-04-30 Seven Bridges Genomics Inc. Systems and methods for haplotyping
US10273540B2 (en) 2010-10-27 2019-04-30 Life Technologies Corporation Methods and apparatuses for estimating parameters in a predictive model for use in sequencing-by-synthesis
WO2019090251A2 (en) 2017-11-06 2019-05-09 Illumina, Inc. Nucleic acid indexing techniques
WO2019089959A1 (en) 2017-11-02 2019-05-09 Bio-Rad Laboratories, Inc. Transposase-based genomic analysis
US10290682B2 (en) 2010-10-11 2019-05-14 Monolithic 3D Inc. 3D IC semiconductor device and structure with stacked memory
WO2019092269A1 (en) 2017-11-13 2019-05-16 F. Hoffmann-La Roche Ag Devices for sample analysis using epitachophoresis
US10294511B2 (en) 2013-10-17 2019-05-21 Illumina, Inc. Methods and compositions for preparing nucleic acid libraries
US10297586B2 (en) 2015-03-09 2019-05-21 Monolithic 3D Inc. Methods for processing a 3D semiconductor device
WO2019099529A1 (en) 2017-11-16 2019-05-23 Illumina, Inc. Systems and methods for determining microsatellite instability
WO2019108972A1 (en) 2017-11-30 2019-06-06 Illumina, Inc. Validation methods and systems for sequence variant calls
WO2019108942A1 (en) 2017-12-01 2019-06-06 Life Technologies Corporation Methods, systems, and computer-readable media for detection of tandem duplication
US10316363B2 (en) 2012-07-18 2019-06-11 Dnae Group Holdings Limited Sensing apparatus for amplification and sequencing of template polynucleotides and array for amplification of template polynucleotides
EP3495817A1 (en) 2012-02-10 2019-06-12 Raindance Technologies, Inc. Molecular diagnostic screening assay
US10325651B2 (en) 2013-03-11 2019-06-18 Monolithic 3D Inc. 3D semiconductor device with stacked memory
US10323276B2 (en) 2009-01-15 2019-06-18 Adaptive Biotechnologies Corporation Adaptive immunity profiling and methods for generation of monoclonal antibodies
WO2019118925A1 (en) 2017-12-15 2019-06-20 Grail, Inc. Methods for enriching for duplex reads in sequencing and error correction
US10329608B2 (en) 2012-10-10 2019-06-25 Life Technologies Corporation Methods, systems, and computer readable media for repeat sequencing
WO2019126803A1 (en) 2017-12-22 2019-06-27 Grail, Inc. Error removal using improved library preparation methods
US10351905B2 (en) 2010-02-12 2019-07-16 Bio-Rad Laboratories, Inc. Digital analyte analysis
US10354995B2 (en) 2009-10-12 2019-07-16 Monolithic 3D Inc. Semiconductor memory device and structure
WO2019140146A1 (en) 2018-01-12 2019-07-18 Life Technologies Corporation Methods for flow space quality score prediction by neural networks
US10366970B2 (en) 2009-10-12 2019-07-30 Monolithic 3D Inc. 3D semiconductor device and structure
US10364468B2 (en) 2016-01-13 2019-07-30 Seven Bridges Genomics Inc. Systems and methods for analyzing circulating tumor DNA
WO2019152395A1 (en) 2018-01-31 2019-08-08 Bio-Rad Laboratories, Inc. Methods and compositions for deconvoluting partition barcodes
US10381328B2 (en) 2015-04-19 2019-08-13 Monolithic 3D Inc. Semiconductor device and structure
US10379079B2 (en) 2014-12-18 2019-08-13 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US10388863B2 (en) 2009-10-12 2019-08-20 Monolithic 3D Inc. 3D memory device and structure
US10385475B2 (en) 2011-09-12 2019-08-20 Adaptive Biotechnologies Corp. Random array sequencing of low-complexity libraries
US10388568B2 (en) 2011-06-28 2019-08-20 Monolithic 3D Inc. 3D semiconductor device and system
WO2019160820A1 (en) 2018-02-13 2019-08-22 Illumina, Inc. Dna sequencing using hydrogel beads
US10392663B2 (en) 2014-10-29 2019-08-27 Adaptive Biotechnologies Corp. Highly-multiplexed simultaneous detection of nucleic acids encoding paired adaptive immune receptor heterodimers from a large number of samples
US10392613B2 (en) 2015-07-14 2019-08-27 Abbott Molecular Inc. Purification of nucleic acids using copper-titanium oxides
EP3533884A1 (en) 2013-03-15 2019-09-04 Ibis Biosciences, Inc. Dna sequences to assess contamination in dna sequencing
US10410739B2 (en) 2013-10-04 2019-09-10 Life Technologies Corporation Methods and systems for modeling phasing effects in sequencing using termination chemistry
US10407724B2 (en) 2012-02-09 2019-09-10 The Hospital For Sick Children Methods and compositions for screening and treating developmental disorders
US10407676B2 (en) 2014-12-09 2019-09-10 Life Technologies Corporation High efficiency, small volume nucleic acid synthesis
US10418369B2 (en) 2015-10-24 2019-09-17 Monolithic 3D Inc. Multi-level semiconductor memory device and structure
US10428367B2 (en) 2012-04-11 2019-10-01 Illumina, Inc. Portable genetic detection and analysis system and method
US10429399B2 (en) 2014-09-24 2019-10-01 Good Start Genetics, Inc. Process control for increased robustness of genetic assays
US10428325B1 (en) 2016-09-21 2019-10-01 Adaptive Biotechnologies Corporation Identification of antigen-specific B cell receptors
WO2019195225A1 (en) 2018-04-02 2019-10-10 Illumina, Inc. Compositions and methods for making controls for sequence-based genetic testing
US10443087B2 (en) 2014-06-13 2019-10-15 Illumina Cambridge Limited Methods and compositions for preparing sequencing libraries
US10451585B2 (en) 2009-05-29 2019-10-22 Life Technologies Corporation Methods and apparatus for measuring analytes
US10450606B2 (en) 2012-02-17 2019-10-22 Fred Hutchinson Cancer Research Center Compositions and methods for accurately identifying mutations
WO2019204229A1 (en) 2018-04-20 2019-10-24 Illumina, Inc. Methods of encapsulating single cells, the encapsulated cells and uses thereof
WO2019203986A1 (en) 2018-04-19 2019-10-24 Omniome, Inc. Improving accuracy of base calls in nucleic acid sequencing methods
US10460829B2 (en) 2016-01-26 2019-10-29 Seven Bridges Genomics Inc. Systems and methods for encoding genetic variation for a population
US10457936B2 (en) 2011-02-02 2019-10-29 University Of Washington Through Its Center For Commercialization Massively parallel contiguity mapping
EP3564252A1 (en) 2014-08-08 2019-11-06 Illumina Cambridge Limited Modified nucleotide linkers
WO2019213619A1 (en) 2018-05-04 2019-11-07 Abbott Laboratories Hbv diagnostic, prognostic, and therapeutic methods and products
US10472669B2 (en) 2010-04-05 2019-11-12 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10487357B2 (en) 2014-10-03 2019-11-26 Life Technologies Corporation Methods of nucleic acid analysis using terminator nucleotides
US10497713B2 (en) 2010-11-18 2019-12-03 Monolithic 3D Inc. 3D semiconductor memory device and structure
US10515981B2 (en) 2015-09-21 2019-12-24 Monolithic 3D Inc. Multilevel semiconductor device and structure with memory
US10520500B2 (en) 2009-10-09 2019-12-31 Abdeslam El Harrak Labelled silica-based nanomaterial with enhanced properties and uses thereof
US10522240B2 (en) 2006-05-03 2019-12-31 Population Bio, Inc. Evaluating genetic disorders
US10522225B1 (en) 2015-10-02 2019-12-31 Monolithic 3D Inc. Semiconductor device with non-volatile memory
US20200006550A1 (en) * 2018-06-28 2020-01-02 Texas Instruments Incorporated Protection of drain extended transistor field oxide
US10526664B2 (en) 2015-07-14 2020-01-07 Abbott Molecular Inc. Compositions and methods for identifying drug resistant tuberculosis
US10525467B2 (en) 2011-10-21 2020-01-07 Integenx Inc. Sample preparation, processing and analysis systems
US10533998B2 (en) 2008-07-18 2020-01-14 Bio-Rad Laboratories, Inc. Enzyme quantification
US10544411B2 (en) 2016-06-30 2020-01-28 Zymergen Inc. Methods for generating a glucose permease library and uses thereof
US10544456B2 (en) 2016-07-20 2020-01-28 Genapsys, Inc. Systems and methods for nucleic acid sequencing
US10544390B2 (en) 2016-06-30 2020-01-28 Zymergen Inc. Methods for generating a bacterial hemoglobin library and uses thereof
US10544455B2 (en) 2014-10-03 2020-01-28 Life Technologies Corporation Sequencing methods, compositions and systems using terminator nucleotides
US10557133B2 (en) 2013-03-13 2020-02-11 Illumina, Inc. Methods and compositions for nucleic acid sequencing
US10563240B2 (en) 2013-03-14 2020-02-18 Life Technologies Corporation High efficiency, small volume nucleic acid synthesis
US10571426B2 (en) * 2016-07-07 2020-02-25 Sharp Life Science (Eu) Limited Bio-sensor pixel circuit with amplification
US10570448B2 (en) 2013-11-13 2020-02-25 Tecan Genomics Compositions and methods for identification of a duplicate sequencing read
WO2020041293A1 (en) 2018-08-20 2020-02-27 Bio-Rad Laboratories, Inc. Nucleotide sequence generation by barcode bead-colocalization in partitions
US10577601B2 (en) 2008-09-12 2020-03-03 University Of Washington Error detection in sequence tag directed subassemblies of short sequencing reads
US10577649B2 (en) 2014-11-11 2020-03-03 Illumina, Inc. Polynucleotide amplification using CRISPR-Cas systems
US10576471B2 (en) 2015-03-20 2020-03-03 Illumina, Inc. Fluidics cartridge for use in the vertical or substantially vertical position
WO2020047004A2 (en) 2018-08-28 2020-03-05 10X Genomics, Inc. Methods of generating an array
WO2020047005A1 (en) 2018-08-28 2020-03-05 10X Genomics, Inc. Resolving spatial arrays
US10585092B2 (en) 2012-01-23 2020-03-10 Ohio State Innovation Foundation Devices and methods for the rapid and accurate detection of analytes
US10584380B2 (en) 2015-09-01 2020-03-10 Seven Bridges Genomics Inc. Systems and methods for mitochondrial analysis
US10590464B2 (en) 2015-05-29 2020-03-17 Illumina Cambridge Limited Enhanced utilization of surface primers in clusters
WO2020056039A1 (en) 2018-09-13 2020-03-19 Life Technologies Corporation Cell analysis using chemfet sensor array-based systems
DE202019106694U1 (en) 2019-12-02 2020-03-19 Omniome, Inc. System for sequencing nucleic acids in fluid foam
US10600888B2 (en) 2012-04-09 2020-03-24 Monolithic 3D Inc. 3D semiconductor device
US10600657B2 (en) 2012-12-29 2020-03-24 Monolithic 3D Inc 3D semiconductor device and structure
EP3626834A1 (en) 2014-07-15 2020-03-25 Qiagen Sciences, LLC Semi-random barcodes for nucleic acid analysis
WO2020060811A1 (en) 2018-09-17 2020-03-26 Omniome, Inc. Engineered polymerases for improved sequencing
US10605767B2 (en) 2014-12-18 2020-03-31 Life Technologies Corporation High data rate integrated circuit with transmitter configuration
WO2020068559A1 (en) 2018-09-25 2020-04-02 Qiagen Sciences, Llc Depleting unwanted rna species
US10620155B2 (en) 2013-04-30 2020-04-14 The University Of Tokyo Biosensor and molecular identification member
US10619205B2 (en) 2016-05-06 2020-04-14 Life Technologies Corporation Combinatorial barcode sequences, and related systems and methods
US10619204B2 (en) 2014-11-11 2020-04-14 Illumina Cambridge Limited Methods and arrays for producing and sequencing monoclonal clusters of nucleic acid
WO2020074742A1 (en) 2018-10-12 2020-04-16 F. Hoffmann-La Roche Ag Detection methods for epitachophoresis workflow automation
US10629019B2 (en) 2013-04-02 2020-04-21 Avigilon Analytics Corporation Self-provisioning access control
WO2020086843A1 (en) 2018-10-26 2020-04-30 Illumina, Inc. Modulating polymer beads for dna processing
US10641772B2 (en) 2015-02-20 2020-05-05 Takara Bio Usa, Inc. Method for rapid accurate dispensing, visualization and analysis of single cells
WO2020092830A1 (en) 2018-10-31 2020-05-07 Illumina, Inc. Polymerases, compositions, and methods of use
US10647981B1 (en) 2015-09-08 2020-05-12 Bio-Rad Laboratories, Inc. Nucleic acid library generation methods and compositions
US10651054B2 (en) 2012-12-29 2020-05-12 Monolithic 3D Inc. 3D semiconductor device and structure
US10656368B1 (en) 2019-07-24 2020-05-19 Omniome, Inc. Method and system for biological imaging using a wide field objective lens
EP3653728A1 (en) 2015-06-09 2020-05-20 Life Technologies Corporation Methods, systems, compositions, kits, apparatus and computer-readable media for molecular tagging
WO2020112604A2 (en) 2018-11-30 2020-06-04 Illumina, Inc. Analysis of multiple analytes using a single assay
US10679977B2 (en) 2010-10-13 2020-06-09 Monolithic 3D Inc. 3D microdisplay device and structure
WO2020117653A1 (en) 2018-12-04 2020-06-11 Omniome, Inc. Mixed-phase fluids for nucleic acid sequencing and other analytical assays
WO2020114918A1 (en) 2018-12-05 2020-06-11 Illumina Cambridge Limited Methods and compositions for cluster generation by bridge amplification
WO2020117968A2 (en) 2018-12-05 2020-06-11 Illumina, Inc. Polymerases, compositions, and methods of use
WO2020123311A2 (en) 2018-12-10 2020-06-18 10X Genomics, Inc. Resolving spatial arrays using deconvolution
US10690627B2 (en) 2014-10-22 2020-06-23 IntegenX, Inc. Systems and methods for sample preparation, processing and analysis
WO2020132103A1 (en) 2018-12-19 2020-06-25 Illumina, Inc. Methods for improving polynucleotide cluster clonality priority
WO2020132350A2 (en) 2018-12-20 2020-06-25 Omniome, Inc. Temperature control for analysis of nucleic acids and other analytes
WO2020126602A1 (en) 2018-12-18 2020-06-25 Illumina Cambridge Limited Methods and compositions for paired end sequencing using a single surface primer
EP3674702A1 (en) * 2018-12-27 2020-07-01 Imec VZW Method for sequencing a polynucleotide using a biofet
WO2020136170A2 (en) 2018-12-26 2020-07-02 Illumina Cambridge Limited Nucleosides and nucleotides with 3'-hydroxy blocking groups
CN111386363A (en) * 2017-10-30 2020-07-07 康宁股份有限公司 Nucleic acid immobilization article and method therefor
US10704164B2 (en) 2011-08-31 2020-07-07 Life Technologies Corporation Methods, systems, computer readable media, and kits for sample identification
WO2020141464A1 (en) 2019-01-03 2020-07-09 Boreal Genomics, Inc. Linked target capture
WO2020142768A1 (en) 2019-01-04 2020-07-09 Northwestern University Storing temporal data into dna
US10718014B2 (en) 2004-05-28 2020-07-21 Takara Bio Usa, Inc. Thermo-controllable high-density chips for multiplex analyses
US10724096B2 (en) 2014-09-05 2020-07-28 Population Bio, Inc. Methods and compositions for inhibiting and treating neurological conditions
US10724110B2 (en) 2015-09-01 2020-07-28 Seven Bridges Genomics Inc. Systems and methods for analyzing viral nucleic acids
CN111477530A (en) * 2019-01-24 2020-07-31 卡尔蔡司显微镜有限责任公司 Method for imaging a 3D sample using a multi-beam particle microscope
US10737267B2 (en) 2017-04-04 2020-08-11 Omniome, Inc. Fluidic apparatus and methods useful for chemical and biological reactions
WO2020167574A1 (en) 2019-02-14 2020-08-20 Omniome, Inc. Mitigating adverse impacts of detection systems on nucleic acids and other biological analytes
EP3698874A1 (en) 2014-03-11 2020-08-26 Illumina, Inc. Disposable, integrated microfluidic cartridge and methods of making the same
EP3699289A1 (en) 2014-06-09 2020-08-26 Illumina Cambridge Limited Sample preparation for nucleic acid amplification
WO2020176788A1 (en) 2019-02-28 2020-09-03 10X Genomics, Inc. Profiling of biological analytes with spatially barcoded oligonucleotide arrays
US10768173B1 (en) 2019-09-06 2020-09-08 Element Biosciences, Inc. Multivalent binding composition for nucleic acid analysis
WO2020180778A1 (en) 2019-03-01 2020-09-10 Illumina, Inc. High-throughput single-nuclei and single-cell libraries and methods of making and of using
US10774372B2 (en) 2013-06-25 2020-09-15 Prognosy s Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
WO2020190509A1 (en) 2019-03-15 2020-09-24 10X Genomics, Inc. Methods for using spatial arrays for single cell sequencing
US10787701B2 (en) 2010-04-05 2020-09-29 Prognosys Biosciences, Inc. Spatially encoded biological assays
WO2020198071A1 (en) 2019-03-22 2020-10-01 10X Genomics, Inc. Three-dimensional spatial analysis
US10793895B2 (en) 2015-08-24 2020-10-06 Seven Bridges Genomics Inc. Systems and methods for epigenetic analysis
US10801070B2 (en) 2013-11-25 2020-10-13 The Broad Institute, Inc. Compositions and methods for diagnosing, evaluating and treating cancer
US10808282B2 (en) 2015-07-07 2020-10-20 Illumina, Inc. Selective surface patterning via nanoimprinting
WO2020214904A1 (en) 2019-04-18 2020-10-22 Life Technologies Corporation Methods for context based compression of genomic data for immuno-oncology biomarkers
US10825779B2 (en) 2015-04-19 2020-11-03 Monolithic 3D Inc. 3D semiconductor device and structure
US10832797B2 (en) 2013-10-18 2020-11-10 Seven Bridges Genomics Inc. Method and system for quantifying sequence alignment
US10833108B2 (en) 2010-10-13 2020-11-10 Monolithic 3D Inc. 3D microdisplay device and structure
US10837883B2 (en) 2009-12-23 2020-11-17 Bio-Rad Laboratories, Inc. Microfluidic systems and methods for reducing the exchange of molecules between droplets
US10840239B2 (en) 2014-08-26 2020-11-17 Monolithic 3D Inc. 3D semiconductor device and structure
US10835585B2 (en) 2015-05-20 2020-11-17 The Broad Institute, Inc. Shared neoantigens
WO2020229437A1 (en) 2019-05-14 2020-11-19 F. Hoffmann-La Roche Ag Devices and methods for sample analysis
US20200362397A1 (en) * 2017-05-31 2020-11-19 Centrillion Technology Holdings Corporation Oligonucleotide probe array with electronic detection system
US10847540B2 (en) 2015-10-24 2020-11-24 Monolithic 3D Inc. 3D semiconductor memory device and structure
US10851414B2 (en) 2013-10-18 2020-12-01 Good Start Genetics, Inc. Methods for determining carrier status
WO2020243579A1 (en) 2019-05-30 2020-12-03 10X Genomics, Inc. Methods of detecting spatial heterogeneity of a biological sample
CN112039481A (en) * 2019-08-09 2020-12-04 中芯集成电路(宁波)有限公司 Bulk acoustic wave resonator and method for manufacturing the same
US10866208B2 (en) 2018-09-21 2020-12-15 Teralytic, Inc. Extensible, multimodal sensor fusion platform for remote, proximal terrain sensing
US10865440B2 (en) 2011-10-21 2020-12-15 IntegenX, Inc. Sample preparation, processing and analysis systems
WO2020252186A1 (en) 2019-06-11 2020-12-17 Omniome, Inc. Calibrated focus sensing
US10870111B2 (en) 2015-07-22 2020-12-22 The University Of North Carolina At Chapel Hill Fluidic devices with bead well geometries with spatially separated bead retention and signal detection segments and related methods
US20200407711A1 (en) * 2019-06-28 2020-12-31 Advanced Molecular Diagnostics, LLC Systems and methods for scoring results of identification processes used to identify a biological sequence
US10883135B2 (en) 2015-08-25 2021-01-05 Avails Medical, Inc. Devices, systems and methods for detecting viable infectious agents in a fluid sample
US10892169B2 (en) 2012-12-29 2021-01-12 Monolithic 3D Inc. 3D semiconductor device and structure
US10892016B1 (en) 2019-04-08 2021-01-12 Monolithic 3D Inc. 3D memory semiconductor devices and structures
US10896931B1 (en) 2010-10-11 2021-01-19 Monolithic 3D Inc. 3D semiconductor device and structure
WO2021008805A1 (en) 2019-07-12 2021-01-21 Illumina Cambridge Limited Compositions and methods for preparing nucleic acid sequencing libraries using crispr/cas9 immobilized on a solid support
WO2021009494A1 (en) 2019-07-12 2021-01-21 Illumina Cambridge Limited Nucleic acid library preparation using electrophoresis
US10900075B2 (en) 2017-09-21 2021-01-26 Genapsys, Inc. Systems and methods for nucleic acid sequencing
US10903089B1 (en) 2012-12-29 2021-01-26 Monolithic 3D Inc. 3D semiconductor device and structure
US10910364B2 (en) 2009-10-12 2021-02-02 Monolitaic 3D Inc. 3D semiconductor device
US10906044B2 (en) 2015-09-02 2021-02-02 Illumina Cambridge Limited Methods of improving droplet operations in fluidic systems with a filler fluid including a surface regenerative silane
WO2021026228A1 (en) 2019-08-05 2021-02-11 Mission Bio, Inc. Method and apparatus for single-cell analysis for determining a cell trajectory
EP3783109A1 (en) 2015-03-31 2021-02-24 Illumina Cambridge Limited Surface concatamerization of templates
US10943934B2 (en) 2010-10-13 2021-03-09 Monolithic 3D Inc. Multilevel semiconductor device and structure
WO2021050681A1 (en) 2019-09-10 2021-03-18 Omniome, Inc. Reversible modification of nucleotides
US10961585B2 (en) 2018-08-08 2021-03-30 Pml Screening, Llc Methods for assessing risk of developing a viral of disease using a genetic test
US10961573B2 (en) 2016-03-28 2021-03-30 Boreal Genomics, Inc. Linked duplex target capture
EP3798321A1 (en) 2015-12-17 2021-03-31 Illumina, Inc. Distinguishing methylation levels in complex biological samples
US10975442B2 (en) 2014-12-19 2021-04-13 Massachusetts Institute Of Technology Molecular biomarkers for cancer immunotherapy
US10978501B1 (en) 2010-10-13 2021-04-13 Monolithic 3D Inc. Multilevel semiconductor device and structure with waveguides
US10975446B2 (en) 2014-07-24 2021-04-13 Abbott Molecular Inc. Compositions and methods for the detection and analysis of Mycobacterium tuberculosis
US10978174B2 (en) 2015-05-14 2021-04-13 Life Technologies Corporation Barcode sequences, and related systems and methods
WO2021076152A1 (en) 2019-10-18 2021-04-22 Omniome, Inc. Methods and compositions for capping nucleic acids
US10988761B2 (en) 2018-03-20 2021-04-27 Zymergen Inc. HTP platform for the genetic engineering of Chinese hamster ovary cells
WO2021078947A1 (en) 2019-10-25 2021-04-29 Illumina Cambridge Limited Methods for generating, and sequencing from, asymmetric adaptors on the ends of polynucleotide templates comprising hairpin loops
US10998374B1 (en) 2010-10-13 2021-05-04 Monolithic 3D Inc. Multilevel semiconductor device and structure
US10993997B2 (en) 2014-12-19 2021-05-04 The Broad Institute, Inc. Methods for profiling the t cell repertoire
US11004694B1 (en) 2012-12-29 2021-05-11 Monolithic 3D Inc. 3D semiconductor device and structure
US11004719B1 (en) 2010-11-18 2021-05-11 Monolithic 3D Inc. Methods for producing a 3D semiconductor memory device and structure
WO2021091611A1 (en) 2019-11-08 2021-05-14 10X Genomics, Inc. Spatially-tagged analyte capture agents for analyte multiplexing
WO2021092431A1 (en) 2019-11-08 2021-05-14 Omniome, Inc. Engineered polymerases for improved sequencing by binding
US11011507B1 (en) 2015-04-19 2021-05-18 Monolithic 3D Inc. 3D semiconductor device and structure
US11018133B2 (en) 2009-10-12 2021-05-25 Monolithic 3D Inc. 3D integrated circuit
US11018191B1 (en) 2010-10-11 2021-05-25 Monolithic 3D Inc. 3D semiconductor device and structure
US11018042B1 (en) 2010-11-18 2021-05-25 Monolithic 3D Inc. 3D semiconductor memory device and structure
US11018156B2 (en) 2019-04-08 2021-05-25 Monolithic 3D Inc. 3D memory semiconductor devices and structures
US11018116B2 (en) 2012-12-22 2021-05-25 Monolithic 3D Inc. Method to form a 3D semiconductor device and structure
WO2021102005A1 (en) 2019-11-22 2021-05-27 10X Genomics, Inc. Systems and methods for spatial analysis of analytes using fiducial alignment
WO2021102003A1 (en) 2019-11-18 2021-05-27 10X Genomics, Inc. Systems and methods for tissue classification
WO2021102039A1 (en) 2019-11-21 2021-05-27 10X Genomics, Inc, Spatial analysis of analytes
US11024673B1 (en) 2010-10-11 2021-06-01 Monolithic 3D Inc. 3D semiconductor device and structure
US11021732B2 (en) 2016-05-31 2021-06-01 Avails Medical, Inc. Devices, systems and methods to detect viable infectious agents in a fluid sample and susceptibility of infectious agents to anti-infectives
US11028430B2 (en) 2012-07-09 2021-06-08 Nugen Technologies, Inc. Methods for creating directional bisulfite-converted nucleic acid libraries for next generation sequencing
US11030371B2 (en) 2013-04-15 2021-06-08 Monolithic 3D Inc. Automation for monolithic 3D devices
US11031394B1 (en) 2014-01-28 2021-06-08 Monolithic 3D Inc. 3D semiconductor device and structure
US11031275B2 (en) 2010-11-18 2021-06-08 Monolithic 3D Inc. 3D semiconductor device and structure with memory
WO2021113287A1 (en) 2019-12-04 2021-06-10 Illumina, Inc. Preparation of dna sequencing libraries for detection of dna pathogens in plasma
EP3835429A1 (en) 2014-10-17 2021-06-16 Good Start Genetics, Inc. Pre-implantation genetic screening and aneuploidy detection
US11041852B2 (en) 2010-12-23 2021-06-22 Molecular Loop Biosciences, Inc. Methods for maintaining the integrity and identification of a nucleic acid template in a multiplex sequencing reaction
US11041202B2 (en) 2015-04-01 2021-06-22 Adaptive Biotechnologies Corporation Method of identifying human compatible T cell receptors specific for an antigenic target
US11041203B2 (en) 2013-10-18 2021-06-22 Molecular Loop Biosolutions, Inc. Methods for assessing a genomic region of a subject
US11043523B1 (en) 2010-10-13 2021-06-22 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors
WO2021127436A2 (en) 2019-12-19 2021-06-24 Illumina, Inc. High-throughput single-cell libraries and methods of making and of using
US11049587B2 (en) 2013-10-18 2021-06-29 Seven Bridges Genomics Inc. Methods and systems for aligning sequences in the presence of repeating elements
US11047008B2 (en) 2015-02-24 2021-06-29 Adaptive Biotechnologies Corporation Methods for diagnosing infectious disease and determining HLA status using immune repertoire sequencing
US11056468B1 (en) 2015-04-19 2021-07-06 Monolithic 3D Inc. 3D semiconductor device and structure
US11063071B1 (en) 2010-10-13 2021-07-13 Monolithic 3D Inc. Multilevel semiconductor device and structure with waveguides
US11063024B1 (en) 2012-12-22 2021-07-13 Monlithic 3D Inc. Method to form a 3D semiconductor device and structure
US11066705B2 (en) 2014-11-25 2021-07-20 Adaptive Biotechnologies Corporation Characterization of adaptive immune response to vaccination or infection using immune repertoire sequencing
EP3854884A1 (en) 2015-08-14 2021-07-28 Illumina, Inc. Systems and methods using magnetically-responsive sensors for determining a genetic characteristic
WO2021152586A1 (en) 2020-01-30 2021-08-05 Yeda Research And Development Co. Ltd. Methods of analyzing microbiome, immunoglobulin profile and physiological state
US11088130B2 (en) 2014-01-28 2021-08-10 Monolithic 3D Inc. 3D semiconductor device and structure
US11087995B1 (en) 2012-12-29 2021-08-10 Monolithic 3D Inc. 3D semiconductor device and structure
US11088050B2 (en) 2012-04-09 2021-08-10 Monolithic 3D Inc. 3D semiconductor device with isolation layers
WO2021158511A1 (en) 2020-02-04 2021-08-12 Omniome, Inc. Flow cells and methods for their manufacture and use
US11094576B1 (en) 2010-11-18 2021-08-17 Monolithic 3D Inc. Methods for producing a 3D semiconductor memory device and structure
US11091795B2 (en) 2016-07-11 2021-08-17 Arizona Board Of Regents On Behalf Of The University Of Arizona Compositions and methods for diagnosing and treating arrhythmias
US11099202B2 (en) 2017-10-20 2021-08-24 Tecan Genomics, Inc. Reagent delivery system
WO2021168287A1 (en) 2020-02-21 2021-08-26 10X Genomics, Inc. Methods and compositions for integrated in situ spatial assay
US11107808B1 (en) 2014-01-28 2021-08-31 Monolithic 3D Inc. 3D semiconductor device and structure
US11107721B2 (en) 2010-11-18 2021-08-31 Monolithic 3D Inc. 3D semiconductor device and structure with NAND logic
GB202110485D0 (en) 2021-07-21 2021-09-01 Dnae Diagnostics Ltd Compositions, kits and methods for sequencing target polynucleotides
GB202110479D0 (en) 2021-07-21 2021-09-01 Dnae Diagnostics Ltd Compositions, kits and methods for sequencing target polynucleotides
US11114464B2 (en) 2015-10-24 2021-09-07 Monolithic 3D Inc. 3D semiconductor device and structure
US11111533B2 (en) 2018-03-09 2021-09-07 Illumina Cambridge Limited Generalized stochastic super-resolution sequencing
US11111507B2 (en) 2019-09-23 2021-09-07 Zymergen Inc. Method for counterselection in microorganisms
US11114427B2 (en) 2015-11-07 2021-09-07 Monolithic 3D Inc. 3D semiconductor processor and memory device and structure
WO2021178467A1 (en) 2020-03-03 2021-09-10 Omniome, Inc. Methods and compositions for sequencing double stranded nucleic acids
US11121021B2 (en) 2010-11-18 2021-09-14 Monolithic 3D Inc. 3D semiconductor device and structure
EP3878974A1 (en) 2015-07-06 2021-09-15 Illumina Cambridge Limited Sample preparation for nucleic acid amplification
WO2021185320A1 (en) 2020-03-18 2021-09-23 Mgi Tech Co., Ltd. Restoring phase in massively parallel sequencing
WO2021188889A1 (en) 2020-03-20 2021-09-23 Mission Bio, Inc. Single cell workflow for whole genome amplification
US11133344B2 (en) 2010-10-13 2021-09-28 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors
US11158674B2 (en) 2010-10-11 2021-10-26 Monolithic 3D Inc. Method to produce a 3D semiconductor device and structure
US11158652B1 (en) 2019-04-08 2021-10-26 Monolithic 3D Inc. 3D memory semiconductor devices and structures
US11156581B2 (en) * 2013-08-08 2021-10-26 The University Of Tokyo Biosensor
WO2021214766A1 (en) 2020-04-21 2021-10-28 Yeda Research And Development Co. Ltd. Methods of diagnosing viral infections and vaccines thereto
US11163112B2 (en) 2010-10-13 2021-11-02 Monolithic 3D Inc. Multilevel semiconductor device and structure with electromagnetic modulators
US11164811B2 (en) 2012-04-09 2021-11-02 Monolithic 3D Inc. 3D semiconductor device with isolation layers and oxide-to-oxide bonding
US11164770B1 (en) 2010-11-18 2021-11-02 Monolithic 3D Inc. Method for producing a 3D semiconductor memory device and structure
US11164898B2 (en) 2010-10-13 2021-11-02 Monolithic 3D Inc. Multilevel semiconductor device and structure
WO2021226523A2 (en) 2020-05-08 2021-11-11 Illumina, Inc. Genome sequencing and detection techniques
WO2021224677A1 (en) 2020-05-05 2021-11-11 Akershus Universitetssykehus Hf Compositions and methods for characterizing bowel cancer
US11174509B2 (en) 2013-12-12 2021-11-16 Bio-Rad Laboratories, Inc. Distinguishing rare variations in a nucleic acid sequence from a sample
US11177140B2 (en) 2012-12-29 2021-11-16 Monolithic 3D Inc. 3D semiconductor device and structure
EP3910069A1 (en) 2014-02-18 2021-11-17 Illumina, Inc. Methods and composition for dna profiling
WO2021231477A2 (en) 2020-05-12 2021-11-18 Illumina, Inc. Generating nucleic acids with modified bases using recombinant terminal deoxynucleotidyl transferase
US11180807B2 (en) 2011-11-04 2021-11-23 Population Bio, Inc. Methods for detecting a genetic variation in attractin-like 1 (ATRNL1) gene in subject with Parkinson's disease
US11189362B2 (en) 2020-02-13 2021-11-30 Zymergen Inc. Metagenomic library and natural product discovery platform
EP3916108A1 (en) 2016-11-17 2021-12-01 Spatial Transcriptomics AB Method for spatial tagging and analysing nucleic acids in a biological specimen
WO2021252800A1 (en) 2020-06-11 2021-12-16 Nautilus Biotechnology, Inc. Methods and systems for computational decoding of biological, chemical, and physical entities
WO2021252617A1 (en) 2020-06-09 2021-12-16 Illumina, Inc. Methods for increasing yield of sequencing libraries
US11208649B2 (en) 2015-12-07 2021-12-28 Zymergen Inc. HTP genomic engineering platform
US11211279B2 (en) 2010-11-18 2021-12-28 Monolithic 3D Inc. Method for processing a 3D integrated circuit and structure
WO2021259881A1 (en) 2020-06-22 2021-12-30 Illumina Cambridge Limited Nucleosides and nucleotides with 3' acetal blocking group
US11217565B2 (en) 2012-12-22 2022-01-04 Monolithic 3D Inc. Method to form a 3D semiconductor device and structure
WO2022010965A1 (en) 2020-07-08 2022-01-13 Illumina, Inc. Beads as transposome carriers
US11227897B2 (en) 2010-10-11 2022-01-18 Monolithic 3D Inc. Method for producing a 3D semiconductor memory device and structure
EP3940083A1 (en) 2015-10-07 2022-01-19 Illumina, Inc. Off-target capture reduction in sequencing techniques
US11231451B2 (en) 2010-06-30 2022-01-25 Life Technologies Corporation Methods and apparatus for testing ISFET arrays
WO2022031955A1 (en) 2020-08-06 2022-02-10 Illumina, Inc. Preparation of rna and dna sequencing libraries using bead-linked transposomes
US11250931B2 (en) 2016-09-01 2022-02-15 Seven Bridges Genomics Inc. Systems and methods for detecting recombination
US11248253B2 (en) 2014-03-05 2022-02-15 Adaptive Biotechnologies Corporation Methods using randomer-containing synthetic molecules
US11251149B2 (en) 2016-10-10 2022-02-15 Monolithic 3D Inc. 3D memory device and structure
US11254980B1 (en) 2017-11-29 2022-02-22 Adaptive Biotechnologies Corporation Methods of profiling targeted polynucleotides while mitigating sequencing depth requirements
US11257867B1 (en) 2010-10-11 2022-02-22 Monolithic 3D Inc. 3D semiconductor device and structure with oxide bonds
WO2022040176A1 (en) 2020-08-18 2022-02-24 Illumina, Inc. Sequence-specific targeted transposition and selection and sorting of nucleic acids
US11268137B2 (en) 2016-12-09 2022-03-08 Boreal Genomics, Inc. Linked ligation
US11270055B1 (en) 2013-04-15 2022-03-08 Monolithic 3D Inc. Automation for monolithic 3D devices
WO2022053610A1 (en) 2020-09-11 2022-03-17 Illumina Cambridge Limited Methods of enriching a target sequence from a sequencing library using hairpin adaptors
US11287422B2 (en) 2019-09-23 2022-03-29 Element Biosciences, Inc. Multivalent binding composition for nucleic acid analysis
EP3974538A1 (en) 2014-11-05 2022-03-30 Illumina Cambridge Limited Sequencing from multiple primers to increase data rate and density
US11296115B1 (en) 2015-10-24 2022-04-05 Monolithic 3D Inc. 3D semiconductor device and structure
US11296106B2 (en) 2019-04-08 2022-04-05 Monolithic 3D Inc. 3D memory semiconductor devices and structures
US11293029B2 (en) 2015-12-07 2022-04-05 Zymergen Inc. Promoters from Corynebacterium glutamicum
US11309292B2 (en) 2012-12-22 2022-04-19 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11307166B2 (en) 2010-07-01 2022-04-19 Life Technologies Corporation Column ADC
US11315980B1 (en) 2010-10-11 2022-04-26 Monolithic 3D Inc. 3D semiconductor device and structure with transistors
US11327227B2 (en) 2010-10-13 2022-05-10 Monolithic 3D Inc. Multilevel semiconductor device and structure with electromagnetic modulators
US11329059B1 (en) 2016-10-10 2022-05-10 Monolithic 3D Inc. 3D memory devices and structures with thinned single crystal substrates
WO2022103887A1 (en) 2020-11-11 2022-05-19 Nautilus Biotechnology, Inc. Affinity reagents having enhanced binding and detection characteristics
US11339430B2 (en) 2007-07-10 2022-05-24 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US11339439B2 (en) 2011-10-10 2022-05-24 The Hospital For Sick Children Methods and compositions for screening and treating developmental disorders
US11341309B1 (en) 2013-04-15 2022-05-24 Monolithic 3D Inc. Automation for monolithic 3D devices
US11347704B2 (en) 2015-10-16 2022-05-31 Seven Bridges Genomics Inc. Biological graph or sequence serialization
US11355381B2 (en) 2010-11-18 2022-06-07 Monolithic 3D Inc. 3D semiconductor memory device and structure
US11355380B2 (en) 2010-11-18 2022-06-07 Monolithic 3D Inc. Methods for producing 3D semiconductor memory device and structure utilizing alignment marks
US11352659B2 (en) 2011-04-13 2022-06-07 Spatial Transcriptomics Ab Methods of detecting analytes
WO2022119812A1 (en) 2020-12-02 2022-06-09 Illumina Software, Inc. System and method for detection of genetic alterations
US11374118B2 (en) 2009-10-12 2022-06-28 Monolithic 3D Inc. Method to form a 3D integrated circuit
US11385200B2 (en) 2017-06-27 2022-07-12 Avails Medical, Inc. Apparatus, systems, and methods for determining susceptibility of microorganisms to anti-infectives
US11390921B2 (en) 2014-04-01 2022-07-19 Adaptive Biotechnologies Corporation Determining WT-1 specific T cells and WT-1 specific T cell receptors (TCRs)
US11398569B2 (en) 2013-03-12 2022-07-26 Monolithic 3D Inc. 3D semiconductor device and structure
WO2022159663A1 (en) 2021-01-21 2022-07-28 Nautilus Biotechnology, Inc. Systems and methods for biomolecule preparation
US11404466B2 (en) 2010-10-13 2022-08-02 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors
US11410912B2 (en) 2012-04-09 2022-08-09 Monolithic 3D Inc. 3D semiconductor device with vias and isolation layers
US11408024B2 (en) 2014-09-10 2022-08-09 Molecular Loop Biosciences, Inc. Methods for selectively suppressing non-target sequences
WO2022169972A1 (en) 2021-02-04 2022-08-11 Illumina, Inc. Long indexed-linked read generation on transposome bound beads
WO2022174054A1 (en) 2021-02-13 2022-08-18 The General Hospital Corporation Methods and compositions for in situ macromolecule detection and uses thereof
US11430667B2 (en) 2012-12-29 2022-08-30 Monolithic 3D Inc. 3D semiconductor device and structure with bonding
US11430668B2 (en) 2012-12-29 2022-08-30 Monolithic 3D Inc. 3D semiconductor device and structure with bonding
US11437368B2 (en) 2010-10-13 2022-09-06 Monolithic 3D Inc. Multilevel semiconductor device and structure with oxide bonding
US11443971B2 (en) 2010-11-18 2022-09-13 Monolithic 3D Inc. 3D semiconductor device and structure with memory
WO2022192591A1 (en) 2021-03-11 2022-09-15 Nautilus Biotechnology, Inc. Systems and methods for biomolecule retention
WO2022194764A1 (en) 2021-03-15 2022-09-22 F. Hoffmann-La Roche Ag Targeted next-generation sequencing via anchored primer extension
US11452768B2 (en) 2013-12-20 2022-09-27 The Broad Institute, Inc. Combination therapy with neoantigen vaccine
WO2022204032A1 (en) 2021-03-22 2022-09-29 Illumina Cambridge Limited Methods for improving nucleic acid cluster clonality
US11460405B2 (en) 2016-07-21 2022-10-04 Takara Bio Usa, Inc. Multi-Z imaging and dispensing with multi-well devices
WO2022213027A1 (en) 2021-04-02 2022-10-06 Illumina, Inc. Machine-learning model for detecting a bubble within a nucleotide-sample slide for sequencing
WO2022212269A1 (en) 2021-03-29 2022-10-06 Illumina, Inc. Improved methods of library preparation
WO2022207804A1 (en) 2021-03-31 2022-10-06 Illumina Cambridge Limited Nucleic acid library sequencing techniques with adapter dimer detection
WO2022212402A1 (en) 2021-03-31 2022-10-06 Illumina, Inc. Methods of preparing directional tagmentation sequencing libraries using transposon-based technology with unique molecular identifiers for error correction
WO2022212280A1 (en) 2021-03-29 2022-10-06 Illumina, Inc. Compositions and methods for assessing dna damage in a library and normalizing amplicon size bias
US11468968B2 (en) 2012-04-09 2022-10-11 Life Technologies Corporation Systems and methods for identifying somatic mutations
US11469271B2 (en) 2010-10-11 2022-10-11 Monolithic 3D Inc. Method to produce 3D semiconductor devices and structures with memory
US11474070B2 (en) 2010-12-30 2022-10-18 Life Technologies Corporation Methods, systems, and computer readable media for making base calls in nucleic acid sequencing
US11476181B1 (en) 2012-04-09 2022-10-18 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11482440B2 (en) 2010-12-16 2022-10-25 Monolithic 3D Inc. 3D semiconductor device and structure with a built-in test circuit for repairing faulty circuits
US11482438B2 (en) 2010-11-18 2022-10-25 Monolithic 3D Inc. Methods for producing a 3D semiconductor memory device and structure
US11482439B2 (en) 2010-11-18 2022-10-25 Monolithic 3D Inc. Methods for producing a 3D semiconductor memory device comprising charge trap junction-less transistors
US11487928B2 (en) 2013-04-15 2022-11-01 Monolithic 3D Inc. Automation for monolithic 3D devices
WO2022232425A2 (en) 2021-04-29 2022-11-03 Illumina, Inc. Amplification techniques for nucleic acid characterization
WO2022232050A1 (en) 2021-04-26 2022-11-03 The Broad Institute, Inc. Compositions and methods for characterizing polynucleotide sequence alterations
US11495484B2 (en) 2010-11-18 2022-11-08 Monolithic 3D Inc. 3D semiconductor devices and structures with at least two single-crystal layers
US11508605B2 (en) 2010-11-18 2022-11-22 Monolithic 3D Inc. 3D semiconductor memory device and structure
WO2022243480A1 (en) 2021-05-20 2022-11-24 Illumina, Inc. Compositions and methods for sequencing by synthesis
US11514575B2 (en) 2019-10-01 2022-11-29 10X Genomics, Inc. Systems and methods for identifying morphological patterns in tissue samples
US11512002B2 (en) 2018-04-18 2022-11-29 University Of Virginia Patent Foundation Silica materials and methods of making thereof
US11511242B2 (en) 2008-07-18 2022-11-29 Bio-Rad Laboratories, Inc. Droplet libraries
US11512349B2 (en) 2018-12-18 2022-11-29 Grail, Llc Methods for detecting disease using analysis of RNA
WO2022251510A2 (en) 2021-05-28 2022-12-01 Illumina, Inc. Oligo-modified nucleotide analogues for nucleic acid preparation
US11519033B2 (en) 2018-08-28 2022-12-06 10X Genomics, Inc. Method for transposase-mediated spatial tagging and analyzing genomic DNA in a biological sample
US11521888B2 (en) 2010-11-18 2022-12-06 Monolithic 3D Inc. 3D semiconductor device and structure with high-k metal gate transistors
US11530352B2 (en) 2016-10-03 2022-12-20 Illumina, Inc. Fluorescent detection of amines and hydrazines and assaying methods thereof
WO2023278927A1 (en) 2021-06-29 2023-01-05 Illumina Software, Inc. Signal-to-noise-ratio metric for determining nucleotide-base calls and base-call quality
WO2023278966A1 (en) 2021-06-29 2023-01-05 Illumina, Inc. Machine-learning model for generating confidence classifications for genomic coordinates
WO2023004323A1 (en) 2021-07-23 2023-01-26 Illumina Software, Inc. Machine-learning model for recalibrating nucleotide-base calls
WO2023002203A1 (en) 2021-07-21 2023-01-26 Dnae Diagnostics Limited Method and system comprising a cartridge for sequencing target polynucleotides
US11569117B2 (en) 2010-11-18 2023-01-31 Monolithic 3D Inc. 3D semiconductor device and structure with single-crystal layers
US11574109B1 (en) 2013-04-15 2023-02-07 Monolithic 3D Inc Automation methods for 3D integrated circuits and devices
US11584968B2 (en) 2014-10-30 2023-02-21 Personalis, Inc. Methods for using mosaicism in nucleic acids sampled distal to their origin
WO2023020728A1 (en) 2021-08-14 2023-02-23 Illumina, Inc. Polymerases, compositions, and methods of use
US11594473B2 (en) 2012-04-09 2023-02-28 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and a connective path
US11591653B2 (en) 2013-01-17 2023-02-28 Personalis, Inc. Methods and systems for genetic analysis
US11598780B2 (en) 2017-10-06 2023-03-07 The University Of Chicago Engineering lymphocytes with specific alpha and beta chains on their t-cell receptor
US11600667B1 (en) 2010-10-11 2023-03-07 Monolithic 3D Inc. Method to produce 3D semiconductor devices and structures with memory
US11605663B2 (en) 2010-10-13 2023-03-14 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors and wafer bonding
WO2023038859A1 (en) 2021-09-09 2023-03-16 Nautilus Biotechnology, Inc. Characterization and localization of protein modifications
US11610802B2 (en) 2010-11-18 2023-03-21 Monolithic 3D Inc. Method for producing a 3D semiconductor device and structure with single crystal transistors and metal gate electrodes
WO2023044229A1 (en) 2021-09-17 2023-03-23 Illumina, Inc. Automatically identifying failure sources in nucleotide sequencing from base-call-error patterns
US11616004B1 (en) 2012-04-09 2023-03-28 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and a connective path
US11615977B2 (en) 2010-11-18 2023-03-28 Monolithic 3D Inc. 3D semiconductor memory device and structure
WO2023049558A1 (en) 2021-09-21 2023-03-30 Illumina, Inc. A graph reference genome and base-calling approach using imputed haplotypes
WO2023049073A1 (en) 2021-09-22 2023-03-30 Nautilus Biotechnology, Inc. Methods and systems for determining polypeptide interactions
US11624064B2 (en) 2016-06-13 2023-04-11 Grail, Llc Enrichment of mutated cell free nucleic acids for cancer detection
WO2023064181A1 (en) 2021-10-11 2023-04-20 Nautilus Biotechnology, Inc. Highly multiplexable analysis of proteins and proteomes
US11636919B2 (en) 2013-03-14 2023-04-25 Life Technologies Corporation Methods, systems, and computer readable media for evaluating variant likelihood
US11634767B2 (en) 2018-05-31 2023-04-25 Personalis, Inc. Compositions, methods and systems for processing or analyzing multi-species nucleic acid samples
US11640405B2 (en) 2013-10-03 2023-05-02 Personalis, Inc. Methods for analyzing genotypes
EP4174189A1 (en) 2021-10-28 2023-05-03 Volker, Leen Enzyme directed biomolecule labeling
US11643685B2 (en) 2016-05-27 2023-05-09 Personalis, Inc. Methods and systems for genetic analysis
WO2023081728A1 (en) 2021-11-03 2023-05-11 Nautilus Biotechnology, Inc. Systems and methods for surface structuring
US11649485B2 (en) 2019-01-06 2023-05-16 10X Genomics, Inc. Generating capture probes for spatial analysis
US11655494B2 (en) 2017-10-03 2023-05-23 Avails Medical, Inc. Apparatus, systems, and methods for determining the concentration of microorganisms and the susceptibility of microorganisms to anti-infectives based on redox reactions
WO2023102354A1 (en) 2021-12-02 2023-06-08 Illumina Software, Inc. Generating cluster-specific-signal corrections for determining nucleotide-base calls
US11680950B2 (en) 2019-02-20 2023-06-20 Pacific Biosciences Of California, Inc. Scanning apparatus and methods for detecting chemical and biological analytes
US11680261B2 (en) 2018-11-15 2023-06-20 Grail, Inc. Needle-based devices and methods for in vivo diagnostics of disease conditions
WO2023122362A1 (en) 2021-12-23 2023-06-29 Illumina Software, Inc. Facilitating secure execution of external workflows for genomic sequencing diagnostics
WO2023122363A1 (en) 2021-12-23 2023-06-29 Illumina Software, Inc. Dynamic graphical status summaries for nucelotide sequencing
US11694944B1 (en) 2012-04-09 2023-07-04 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and a connective path
US11694922B2 (en) 2010-10-13 2023-07-04 Monolithic 3D Inc. Multilevel semiconductor device and structure with oxide bonding
WO2023129764A1 (en) 2021-12-29 2023-07-06 Illumina Software, Inc. Automatically switching variant analysis model versions for genomic analysis applications
WO2023129896A1 (en) 2021-12-28 2023-07-06 Illumina Software, Inc. Machine learning model for recalibrating nucleotide base calls corresponding to target variants
WO2023126457A1 (en) 2021-12-29 2023-07-06 Illumina Cambridge Ltd. Methods of nucleic acid sequencing using surface-bound primers
US11711928B2 (en) 2016-10-10 2023-07-25 Monolithic 3D Inc. 3D memory devices and structures with control circuits
EP4219739A2 (en) 2013-09-30 2023-08-02 Life Technologies Corporation Polymerase compositions, methods of making and using same
US11720736B2 (en) 2013-04-15 2023-08-08 Monolithic 3D Inc. Automation methods for 3D integrated circuits and devices
US11725237B2 (en) 2013-12-05 2023-08-15 The Broad Institute Inc. Polymorphic gene typing and somatic change detection using sequencing data
US11733238B2 (en) 2010-04-05 2023-08-22 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11735462B2 (en) 2010-11-18 2023-08-22 Monolithic 3D Inc. 3D semiconductor device and structure with single-crystal layers
US11735501B1 (en) 2012-04-09 2023-08-22 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and a connective path
BE1030246A1 (en) 2022-02-04 2023-08-30 Leen Volker POLYMER-ASSISTED BIOMOLECULE ANALYSIS
WO2023164660A1 (en) 2022-02-25 2023-08-31 Illumina, Inc. Calibration sequences for nucelotide sequencing
WO2023164492A1 (en) 2022-02-25 2023-08-31 Illumina, Inc. Machine-learning models for detecting and adjusting values for nucleotide methylation levels
US11763864B2 (en) 2019-04-08 2023-09-19 Monolithic 3D Inc. 3D memory semiconductor devices and structures with bit-line pillars
WO2023192917A1 (en) 2022-03-29 2023-10-05 Nautilus Subsidiary, Inc. Integrated arrays for single-analyte processes
US11784169B2 (en) 2012-12-22 2023-10-10 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11784082B2 (en) 2010-11-18 2023-10-10 Monolithic 3D Inc. 3D semiconductor device and structure with bonding
WO2023196528A1 (en) 2022-04-08 2023-10-12 Illumina, Inc. Aptamer dynamic range compression and detection techniques
WO2023196572A1 (en) 2022-04-07 2023-10-12 Illumina Singapore Pte. Ltd. Altered cytidine deaminases and methods of use
US11804396B2 (en) 2010-11-18 2023-10-31 Monolithic 3D Inc. Methods for producing a 3D semiconductor device and structure with memory cells and multiple metal layers
EP4269618A2 (en) 2018-06-04 2023-11-01 Illumina, Inc. Methods of making high-throughput single-cell transcriptome libraries
WO2023212490A1 (en) 2022-04-25 2023-11-02 Nautilus Subsidiary, Inc. Systems and methods for assessing and improving the quality of multiplex molecular assays
WO2023212601A1 (en) 2022-04-26 2023-11-02 Illumina, Inc. Machine-learning models for selecting oligonucleotide probes for array technologies
US11812620B2 (en) 2016-10-10 2023-11-07 Monolithic 3D Inc. 3D DRAM memory devices and structures with control circuits
US11807909B1 (en) 2019-09-12 2023-11-07 Zymo Research Corporation Methods for species-level resolution of microorganisms
US11810648B2 (en) 2016-01-07 2023-11-07 Seven Bridges Genomics Inc. Systems and methods for adaptive local alignment for graph genomes
US11814750B2 (en) 2018-05-31 2023-11-14 Personalis, Inc. Compositions, methods and systems for processing or analyzing multi-species nucleic acid samples
WO2023220627A1 (en) 2022-05-10 2023-11-16 Illumina Software, Inc. Adaptive neural network for nucelotide sequencing
WO2023225095A1 (en) 2022-05-18 2023-11-23 Illumina Cambridge Limited Preparation of size-controlled nucleic acid fragments
US11840730B1 (en) 2009-04-30 2023-12-12 Molecular Loop Biosciences, Inc. Methods and compositions for evaluating genetic markers
US11855114B2 (en) 2010-10-13 2023-12-26 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors and wafer bonding
US11854857B1 (en) 2010-11-18 2023-12-26 Monolithic 3D Inc. Methods for producing a 3D semiconductor device and structure with memory cells and multiple metal layers
US11855100B2 (en) 2010-10-13 2023-12-26 Monolithic 3D Inc. Multilevel semiconductor device and structure with oxide bonding
WO2023250504A1 (en) 2022-06-24 2023-12-28 Illumina Software, Inc. Improving split-read alignment by intelligently identifying and scoring candidate split groups
WO2023250364A1 (en) 2022-06-21 2023-12-28 Nautilus Subsidiary, Inc. Method for detecting analytes at sites of optically non-resolvable distances
US11862503B2 (en) 2010-11-18 2024-01-02 Monolithic 3D Inc. Method for producing a 3D semiconductor device and structure with memory cells and multiple metal layers
WO2024006705A1 (en) 2022-06-27 2024-01-04 Illumina Software, Inc. Improved human leukocyte antigen (hla) genotyping
WO2024006779A1 (en) 2022-06-27 2024-01-04 Illumina, Inc. Accelerators for a genotype imputation model
WO2024006769A1 (en) 2022-06-27 2024-01-04 Illumina Software, Inc. Generating and implementing a structural variation graph genome
US11869591B2 (en) 2016-10-10 2024-01-09 Monolithic 3D Inc. 3D memory devices and structures with control circuits
US11869965B2 (en) 2013-03-11 2024-01-09 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and memory cells
US11869915B2 (en) 2010-10-13 2024-01-09 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors and wafer bonding
US11873480B2 (en) 2014-10-17 2024-01-16 Illumina Cambridge Limited Contiguity preserving transposition
WO2024015962A1 (en) 2022-07-15 2024-01-18 Pacific Biosciences Of California, Inc. Blocked asymmetric hairpin adaptors
US11881443B2 (en) 2012-04-09 2024-01-23 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and a connective path
WO2024026356A1 (en) 2022-07-26 2024-02-01 Illumina, Inc. Rapid single-cell multiomics processing using an executable file
US11901041B2 (en) 2013-10-04 2024-02-13 Bio-Rad Laboratories, Inc. Digital analysis of nucleic acid modification
US11901210B2 (en) 2010-11-18 2024-02-13 Monolithic 3D Inc. 3D semiconductor device and structure with memory
EP4324935A2 (en) 2011-08-18 2024-02-21 Life Technologies Corporation Methods, systems and computer readable media for making base calls in nucleic acid sequencing
WO2024039516A1 (en) 2022-08-19 2024-02-22 Illumina, Inc. Third dna base pair site-specific dna detection
US11916045B2 (en) 2012-12-22 2024-02-27 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11923230B1 (en) 2010-11-18 2024-03-05 Monolithic 3D Inc. 3D semiconductor device and structure with bonding
US11923374B2 (en) 2013-03-12 2024-03-05 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11929372B2 (en) 2010-10-13 2024-03-12 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors and wafer bonding
US11926867B2 (en) 2019-01-06 2024-03-12 10X Genomics, Inc. Generating capture probes for spatial analysis
US11930648B1 (en) 2016-10-10 2024-03-12 Monolithic 3D Inc. 3D memory devices and structures with metal layers
US11935949B1 (en) 2013-03-11 2024-03-19 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and memory cells
US11937422B2 (en) 2015-11-07 2024-03-19 Monolithic 3D Inc. Semiconductor memory device and structure
WO2024059655A1 (en) 2022-09-15 2024-03-21 Nautilus Subsidiary, Inc. Characterizing accessibility of macromolecule structures
WO2024073043A1 (en) 2022-09-30 2024-04-04 Illumina, Inc. Methods of using cpg binding proteins in mapping modified cytosine nucleotides
WO2024073519A1 (en) 2022-09-30 2024-04-04 Illumina, Inc. Machine-learning model for refining structural variant calls
WO2024073047A1 (en) 2022-09-30 2024-04-04 Illumina, Inc. Cytidine deaminases and methods of use in mapping modified cytosine nucleotides
WO2024073599A1 (en) 2022-09-29 2024-04-04 Nautilus Subsidiary, Inc. Preparation of array surfaces for single-analyte processes
WO2024069581A1 (en) 2022-09-30 2024-04-04 Illumina Singapore Pte. Ltd. Helicase-cytidine deaminase complexes and methods of use
WO2024073516A1 (en) 2022-09-29 2024-04-04 Illumina, Inc. A target-variant-reference panel for imputing target variants
WO2024068971A1 (en) 2022-09-30 2024-04-04 Illumina, Inc. Polymerases, compositions, and methods of use
US11951474B2 (en) 2008-10-22 2024-04-09 Life Technologies Corporation Fluidics systems for sequential delivery of reagents
US11956952B2 (en) 2015-08-23 2024-04-09 Monolithic 3D Inc. Semiconductor memory device and structure
WO2024077096A1 (en) 2022-10-05 2024-04-11 Illumina, Inc. Integrating variant calls from multiple sequencing pipelines utilizing a machine learning architecture
US11959838B2 (en) 2015-11-06 2024-04-16 Ventana Medical Systems, Inc. Representative diagnostics
US11961827B1 (en) 2012-12-22 2024-04-16 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
WO2024081649A1 (en) 2022-10-11 2024-04-18 Illumina, Inc. Detecting and correcting methylation values from methylation sequencing assays
US11967583B2 (en) 2012-12-22 2024-04-23 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11965211B2 (en) 2008-09-05 2024-04-23 Aqtual, Inc. Methods for sequencing samples
WO2024084249A1 (en) 2022-10-21 2024-04-25 Dnae Diagnostics Limited Clonal amplification
US11969446B2 (en) 2019-08-28 2024-04-30 Xbiome Inc. Compositions comprising bacterial species and methods related thereto
US11978731B2 (en) 2015-09-21 2024-05-07 Monolithic 3D Inc. Method to produce a multi-level semiconductor memory device and structure
US11984445B2 (en) 2009-10-12 2024-05-14 Monolithic 3D Inc. 3D semiconductor devices and structures with metal layers
US11984438B2 (en) 2010-10-13 2024-05-14 Monolithic 3D Inc. Multilevel semiconductor device and structure with oxide bonding
US11981891B2 (en) 2018-05-17 2024-05-14 Illumina, Inc. High-throughput single-cell sequencing with reduced amplification bias
US11991884B1 (en) 2015-10-24 2024-05-21 Monolithic 3D Inc. 3D semiconductor device and structure with logic and memory
WO2024118791A1 (en) 2022-11-30 2024-06-06 Illumina, Inc. Accurately predicting variants from methylation sequencing data
WO2024118903A1 (en) 2022-11-30 2024-06-06 Illumina, Inc. Chemoenzymatic correction of false positive uracil transformations
WO2024124073A1 (en) 2022-12-09 2024-06-13 Nautilus Subsidiary, Inc. A method comprising performing on a single-analyte array at least 50 cycles of a process
US12016181B2 (en) 2015-10-24 2024-06-18 Monolithic 3D Inc. 3D semiconductor device and structure with logic and memory
WO2024129672A1 (en) 2022-12-12 2024-06-20 The Broad Institute, Inc. Trafficked rnas for assessment of cell-cell connectivity and neuroanatomy
WO2024130000A1 (en) 2022-12-15 2024-06-20 Nautilus Subsidiary, Inc. Inhibition of photon phenomena on single molecule arrays
WO2024129969A1 (en) 2022-12-14 2024-06-20 Illumina, Inc. Systems and methods for capture and enrichment of clustered beads on flow cell substrates
WO2024137774A1 (en) 2022-12-22 2024-06-27 Illumina, Inc. Palladium catalyst compositions and methods for sequencing by synthesis
WO2024137765A1 (en) 2022-12-22 2024-06-27 Illumina, Inc. Transition-metal catalyst compositions and methods for sequencing by synthesis
US12027518B1 (en) 2009-10-12 2024-07-02 Monolithic 3D Inc. 3D semiconductor devices and structures with metal layers
US12033884B2 (en) 2010-11-18 2024-07-09 Monolithic 3D Inc. Methods for producing a 3D semiconductor device and structure with memory cells and multiple metal layers
US12035531B2 (en) 2015-10-24 2024-07-09 Monolithic 3D Inc. 3D semiconductor device and structure with logic and memory
US12031177B1 (en) 2020-06-04 2024-07-09 10X Genomics, Inc. Methods of enhancing spatial resolution of transcripts
WO2024146937A1 (en) 2023-01-06 2024-07-11 Dna Script Methods for obtaining correctly assembled nucleic acids
WO2024147904A1 (en) 2023-01-06 2024-07-11 Illumina, Inc. Reducing uracils by polymerase
US12038438B2 (en) 2008-07-18 2024-07-16 Bio-Rad Laboratories, Inc. Enzyme quantification
US12050196B2 (en) 2015-04-13 2024-07-30 Life Technologies Corporation Apparatuses, methods, systems, and computer-readable media for fluid potential artifact correction in reagent delivery systems
US12051674B2 (en) 2012-12-22 2024-07-30 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
USRE50065E1 (en) 2012-10-17 2024-07-30 10X Genomics Sweden Ab Methods and product for optimising localised or spatial detection of gene expression in a tissue sample
US12059674B2 (en) 2020-02-03 2024-08-13 Tecan Genomics, Inc. Reagent storage system
WO2024167954A1 (en) 2023-02-06 2024-08-15 Illumina, Inc. Determining and removing inter-cluster light interference
US12068187B2 (en) 2010-11-18 2024-08-20 Monolithic 3D Inc. 3D semiconductor device and structure with bonding and DRAM memory cells
US12080743B2 (en) 2010-10-13 2024-09-03 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors and wafer bonding
WO2024182219A1 (en) 2023-02-27 2024-09-06 Adaptive Biotechnologies Corp. Therapeutic t cell receptors targeting kras g12d
US12094829B2 (en) 2014-01-28 2024-09-17 Monolithic 3D Inc. 3D semiconductor device and structure
US12094892B2 (en) 2010-10-13 2024-09-17 Monolithic 3D Inc. 3D micro display device and structure
US12094965B2 (en) 2013-03-11 2024-09-17 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and memory cells
WO2024191806A1 (en) 2023-03-10 2024-09-19 Illumina, Inc. Aptamer detection techniques
US12100611B2 (en) 2010-11-18 2024-09-24 Monolithic 3D Inc. Methods for producing a 3D semiconductor device and structure with memory cells and multiple metal layers
US12098419B2 (en) 2018-08-23 2024-09-24 Ncan Genomics, Inc. Linked target capture and ligation
US12100646B2 (en) 2013-03-12 2024-09-24 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US12100658B2 (en) 2015-09-21 2024-09-24 Monolithic 3D Inc. Method to produce a 3D multilayer semiconductor device and structure
WO2024206848A1 (en) 2023-03-30 2024-10-03 Illumina, Inc. Tandem repeat genotyping
WO2024206122A1 (en) 2023-03-24 2024-10-03 Nautilus Subsidiary, Inc. Improved transfer of nanoparticles to array surfaces
WO2024206394A1 (en) 2023-03-30 2024-10-03 Illumina, Inc. Compositions and methods for nucleic acid sequencing
WO2024206413A1 (en) 2023-03-30 2024-10-03 Illumina, Inc. Ai-driven signal enhancement of low-resolution images
US12112833B2 (en) 2020-02-04 2024-10-08 10X Genomics, Inc. Systems and methods for index hopping filtering
US12110548B2 (en) 2020-02-03 2024-10-08 10X Genomics, Inc. Bi-directional in situ analysis
US12111313B2 (en) 2018-08-14 2024-10-08 Autonomous Medical Devices Inc. Chelator-coated field effect transistor and devices and methods using same
US12110541B2 (en) 2020-02-03 2024-10-08 10X Genomics, Inc. Methods for preparing high-resolution spatial arrays
US12120880B1 (en) 2015-10-24 2024-10-15 Monolithic 3D Inc. 3D semiconductor device and structure with logic and memory
US12116637B2 (en) 2020-07-24 2024-10-15 The Regents Of The University Of Michigan Compositions and methods for detecting and treating high grade subtypes of uterine cancer
EP4446431A2 (en) 2015-10-16 2024-10-16 Qiagen Sciences, LLC Methods and kits for highly multiplex single primer extension
US12125737B1 (en) 2010-11-18 2024-10-22 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and memory cells
US12129514B2 (en) 2009-04-30 2024-10-29 Molecular Loop Biosolutions, Llc Methods and compositions for evaluating genetic markers
US12136562B2 (en) 2023-12-02 2024-11-05 Monolithic 3D Inc. 3D semiconductor device and structure with single-crystal layers

Families Citing this family (53)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013154750A1 (en) 2012-04-10 2013-10-17 The Trustees Of Columbia Unversity In The City Of New York Systems and methods for biological ion channel interfaces
GB0913258D0 (en) 2009-07-29 2009-09-02 Dynex Technologies Inc Reagent dispenser
US9523701B2 (en) 2009-07-29 2016-12-20 Dynex Technologies, Inc. Sample plate systems and methods
WO2012017185A1 (en) 2010-08-06 2012-02-09 Dna Electronics Ltd Method and apparatus for sensing a property of a fluid
EP3444600B1 (en) 2011-01-11 2020-05-13 The Trustees of Columbia University in the City of New York System and methods for single-molecule detection using nanotubes
EP2678669A1 (en) 2011-02-23 2014-01-01 The Trustees of Columbia University in the City of New York Systems and methods for single-molecule detection using nanopores
US20140155297A1 (en) * 2012-02-24 2014-06-05 Cambrian Genomics, Inc. Method and apparatus for light based recovery of sequence verified dna
WO2013158280A1 (en) 2012-04-20 2013-10-24 The Trustees Of Columbia University In The City Of New York Systems and methods for single-molecule nucleic-acid assay platforms
US10068054B2 (en) 2013-01-17 2018-09-04 Edico Genome, Corp. Bioinformatics systems, apparatuses, and methods executed on an integrated circuit processing platform
US10691775B2 (en) 2013-01-17 2020-06-23 Edico Genome, Corp. Bioinformatics systems, apparatuses, and methods executed on an integrated circuit processing platform
US9679104B2 (en) 2013-01-17 2017-06-13 Edico Genome, Corp. Bioinformatics systems, apparatuses, and methods executed on an integrated circuit processing platform
US9792405B2 (en) 2013-01-17 2017-10-17 Edico Genome, Corp. Bioinformatics systems, apparatuses, and methods executed on an integrated circuit processing platform
US10847251B2 (en) 2013-01-17 2020-11-24 Illumina, Inc. Genomic infrastructure for on-site or cloud-based DNA and RNA processing and analysis
US9697327B2 (en) 2014-02-24 2017-07-04 Edico Genome Corporation Dynamic genome reference generation for improved NGS accuracy and reproducibility
EP3722786B1 (en) 2014-03-31 2024-07-17 Redshift Systems Corporation Fluid analyzer with feedback control
US9873100B2 (en) 2014-09-17 2018-01-23 Taiwan Semiconductor Manufacturing Company, Ltd. Integrated circuit having temperature-sensing device
US9576679B2 (en) * 2014-10-09 2017-02-21 Silicon Laboratories Inc. Multi-stage sample and hold circuit
US9859394B2 (en) 2014-12-18 2018-01-02 Agilome, Inc. Graphene FET devices, systems, and methods of using the same for sequencing nucleic acids
US9618474B2 (en) 2014-12-18 2017-04-11 Edico Genome, Inc. Graphene FET devices, systems, and methods of using the same for sequencing nucleic acids
US10429342B2 (en) 2014-12-18 2019-10-01 Edico Genome Corporation Chemically-sensitive field effect transistor
US10006910B2 (en) 2014-12-18 2018-06-26 Agilome, Inc. Chemically-sensitive field effect transistors, systems, and methods for manufacturing and using the same
US9857328B2 (en) 2014-12-18 2018-01-02 Agilome, Inc. Chemically-sensitive field effect transistors, systems and methods for manufacturing and using the same
US10020300B2 (en) 2014-12-18 2018-07-10 Agilome, Inc. Graphene FET devices, systems, and methods of using the same for sequencing nucleic acids
DE102015001998B3 (en) * 2015-02-20 2016-02-04 Friz Biochem Gesellschaft Für Bioanalytik Mbh Microfluidic cartridge for the detection of biomolecules
EP3329491A2 (en) 2015-03-23 2018-06-06 Edico Genome Corporation Method and system for genomic visualization
US9988678B2 (en) 2015-10-26 2018-06-05 International Business Machines Corporation DNA sequencing detection field effect transistor
US20170270245A1 (en) 2016-01-11 2017-09-21 Edico Genome, Corp. Bioinformatics systems, apparatuses, and methods for performing secondary and/or tertiary processing
US10068183B1 (en) 2017-02-23 2018-09-04 Edico Genome, Corp. Bioinformatics systems, apparatuses, and methods executed on a quantum processing platform
US10640822B2 (en) 2016-02-29 2020-05-05 Iridia, Inc. Systems and methods for writing, reading, and controlling data stored in a polymer
US10859562B2 (en) 2016-02-29 2020-12-08 Iridia, Inc. Methods, compositions, and devices for information storage
US10438662B2 (en) 2016-02-29 2019-10-08 Iridia, Inc. Methods, compositions, and devices for information storage
EP3459115A4 (en) 2016-05-16 2020-04-08 Agilome, Inc. Graphene fet devices, systems, and methods of using the same for sequencing nucleic acids
US10876986B2 (en) * 2016-10-05 2020-12-29 Hewlett-Packard Development Company, L.P. Insulated sensors
WO2018077845A1 (en) 2016-10-26 2018-05-03 F. Hoffmann-La Roche Ag Multi-chip packaging of integrated circuits and flow cells for nanopore sequencing
US10541274B2 (en) * 2017-01-26 2020-01-21 Hrl Laboratories, Llc Scalable, stackable, and BEOL-process compatible integrated neuron circuit
CN110596202A (en) 2018-06-13 2019-12-20 香港科技大学 Gas-sensitive field effect transistor device and gas-sensitive field effect transistor device array
US10876148B2 (en) 2018-11-14 2020-12-29 Element Biosciences, Inc. De novo surface preparation and uses thereof
US10704094B1 (en) 2018-11-14 2020-07-07 Element Biosciences, Inc. Multipart reagents having increased avidity for polymerase binding
EP3671209B1 (en) 2018-12-17 2021-12-15 IMEC vzw Assay with digital readout
CN111565032B (en) * 2019-02-13 2023-11-10 上海耕岩智能科技有限公司 Signal conversion circuit and signal readout circuit architecture
US10788446B1 (en) 2019-04-09 2020-09-29 International Business Machines Corporation Ion-sensitive field-effect transistor with micro-pillar well to enhance sensitivity
US11828709B2 (en) 2019-05-17 2023-11-28 GeneSense Technology Inc. Analytical system for molecule detection and sensing
US10756693B1 (en) * 2019-10-08 2020-08-25 Nanya Technology Corporation Integrated circuit device
TWI720686B (en) * 2019-11-12 2021-03-01 國立中興大學 Sensing device with correction function
US11086048B1 (en) 2020-02-07 2021-08-10 HyperLight Corporation Lithium niobate devices fabricated using deep ultraviolet radiation
US11899293B2 (en) * 2020-02-07 2024-02-13 HyperLight Corporation Electro optical devices fabricated using deep ultraviolet radiation
WO2021184374A1 (en) 2020-03-20 2021-09-23 Genesense Technology Inc High throughput analytical system for molecule detection and sensing
US12009177B2 (en) * 2020-06-29 2024-06-11 Taiwan Semiconductor Manufacturing Company, Ltd. Detection using semiconductor detector
JP2023535288A (en) 2020-06-30 2023-08-17 プレクシアム・インコーポレイテッド Fluidic device and method
US11837302B1 (en) 2020-08-07 2023-12-05 Iridia, Inc. Systems and methods for writing and reading data stored in a polymer using nano-channels
US11824133B2 (en) * 2021-07-22 2023-11-21 Taiwan Semiconductor Manufacturing Company, Ltd. Detection using semiconductor detector
WO2024149763A1 (en) * 2023-01-09 2024-07-18 Imperial College Innovations Limited Graphene transistor
WO2024211082A1 (en) * 2023-04-03 2024-10-10 Martin Huber Method and system for optically based immunoassays

Citations (80)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4722830A (en) * 1986-05-05 1988-02-02 General Electric Company Automated multiple stream analysis system
US4822566A (en) * 1985-11-19 1989-04-18 The Johns Hopkins University Optimized capacitive sensor for chemical analysis and measurement
US4863849A (en) * 1985-07-18 1989-09-05 New York Medical College Automatable process for sequencing nucleotide
US4874499A (en) * 1988-05-23 1989-10-17 Massachusetts Institute Of Technology Electrochemical microsensors and method of making such sensors
US4971903A (en) * 1988-03-25 1990-11-20 Edward Hyman Pyrophosphate-based method and apparatus for sequencing nucleic acids
US5110441A (en) * 1989-12-14 1992-05-05 Monsanto Company Solid state ph sensor
US5284566A (en) * 1993-01-04 1994-02-08 Bacharach, Inc. Electrochemical gas sensor with wraparound reference electrode
US5317407A (en) * 1991-03-11 1994-05-31 General Electric Company Fixed-pattern noise correction circuitry for solid-state imager
US5466348A (en) * 1991-10-21 1995-11-14 Holm-Kennedy; James W. Methods and devices for enhanced biochemical sensing
US5554339A (en) * 1988-11-14 1996-09-10 I-Stat Corporation Process for the manufacture of wholly microfabricated biosensors
US5593838A (en) * 1994-11-10 1997-01-14 David Sarnoff Research Center, Inc. Partitioned microelectronic device array
US5846708A (en) * 1991-11-19 1998-12-08 Massachusetts Institiute Of Technology Optical and electrical methods and apparatus for molecule detection
US5922591A (en) * 1995-06-29 1999-07-13 Affymetrix, Inc. Integrated nucleic acid diagnostic device
US5965452A (en) * 1996-07-09 1999-10-12 Nanogen, Inc. Multiplexed active biologic array
US6255678B1 (en) * 1997-05-29 2001-07-03 Horiba, Ltd. Apparatus for measuring physical and chemical phenomena
US6274320B1 (en) * 1999-09-16 2001-08-14 Curagen Corporation Method of sequencing a nucleic acid
US6327410B1 (en) * 1997-03-14 2001-12-04 The Trustees Of Tufts College Target analyte sensors utilizing Microspheres
US20020012930A1 (en) * 1999-09-16 2002-01-31 Rothberg Jonathan M. Method of sequencing a nucleic acid
US6406848B1 (en) * 1997-05-23 2002-06-18 Lynx Therapeutics, Inc. Planar arrays of microparticle-bound polynucleotides
US6413792B1 (en) * 2000-04-24 2002-07-02 Eagle Research Development, Llc Ultra-fast nucleic acid sequencing device and a method for making and using the same
US20020094533A1 (en) * 2000-10-10 2002-07-18 Hess Robert A. Apparatus for assay, synthesis and storage, and methods of manufacture, use, and manipulation thereof
US6429027B1 (en) * 1998-12-28 2002-08-06 Illumina, Inc. Composite arrays utilizing microspheres
US6465178B2 (en) * 1997-09-30 2002-10-15 Surmodics, Inc. Target molecule attachment to surfaces
US6482639B2 (en) * 2000-06-23 2002-11-19 The United States Of America As Represented By The Secretary Of The Navy Microelectronic device and method for label-free detection and quantification of biological and chemical molecules
US6499499B2 (en) * 2001-04-20 2002-12-31 Nanostream, Inc. Flow control in multi-stream microfluidic devices
US6511803B1 (en) * 1997-10-10 2003-01-28 President And Fellows Of Harvard College Replica amplification of nucleic acid arrays
US20030108867A1 (en) * 1999-04-20 2003-06-12 Chee Mark S Nucleic acid sequencing using microsphere arrays
US20030124599A1 (en) * 2001-11-14 2003-07-03 Shiping Chen Biochemical analysis system with combinatorial chemistry applications
US6613513B1 (en) * 1999-02-23 2003-09-02 Caliper Technologies Corp. Sequencing by incorporation
US20030186262A1 (en) * 2000-03-01 2003-10-02 Fabrice Cailloux Novel dna chips
US6682899B2 (en) * 1996-12-12 2004-01-27 Prolume, Ltd. Apparatus and method for detecting and identifying infectious agents
US20040023253A1 (en) * 2001-06-11 2004-02-05 Sandeep Kunwar Device structure for closely spaced electrodes
US20040134798A1 (en) * 2001-03-09 2004-07-15 Christofer Toumazou Sensing apparatus and method
US6780591B2 (en) * 1998-05-01 2004-08-24 Arizona Board Of Regents Method of determining the nucleotide sequence of oligonucleotides and DNA molecules
US20040185484A1 (en) * 2003-01-29 2004-09-23 Costa Gina L. Method for preparing single-stranded DNA libraries
US6828100B1 (en) * 1999-01-22 2004-12-07 Biotage Ab Method of DNA sequencing
US20050006234A1 (en) * 2003-02-13 2005-01-13 Arjang Hassibi Semiconductor electrochemical bio-sensor array
US20050042627A1 (en) * 2002-01-25 2005-02-24 Raj Chakrabarti Methods and compositions for polynucleotide amplification
US20050130188A1 (en) * 1997-03-14 2005-06-16 The Trustees Of Tufts College Methods for detecting target analytes and enzymatic reactions
US20050212016A1 (en) * 2004-03-23 2005-09-29 Fujitsu Limited On-chip integrated detector for analyzing fluids
US6953958B2 (en) * 2002-03-19 2005-10-11 Cornell Research Foundation, Inc. Electronic gain cell based charge sensor
US20050227264A1 (en) * 2004-01-28 2005-10-13 Nobile John R Nucleic acid amplification with continuous flow emulsion
US20050230271A1 (en) * 2004-01-12 2005-10-20 Kalle Levon Floating gate field effect transistors for chemical and/or biological sensing
US6969488B2 (en) * 1998-05-22 2005-11-29 Solexa, Inc. System and apparatus for sequential processing of analytes
US20060024711A1 (en) * 2004-07-02 2006-02-02 Helicos Biosciences Corporation Methods for nucleic acid amplification and sequence determination
US20060040297A1 (en) * 2003-01-29 2006-02-23 Leamon John H Methods of amplifying and sequencing nucleic acids
US7033754B2 (en) * 1998-06-24 2006-04-25 Illumina, Inc. Decoding of array sensors with microspheres
US7037687B2 (en) * 1998-05-01 2006-05-02 Arizona Board Of Regents Method of determining the nucleotide sequence of oligonucleotides and DNA molecules
US20060093488A1 (en) * 2004-10-15 2006-05-04 Wong Teck N Method and apparatus for controlling multi-fluid flow in a micro channel
US20060105373A1 (en) * 2004-11-12 2006-05-18 The Board Of Trustees Of The Leland Stanford Junior University Charge perturbation detection system for DNA and other molecules
US7049645B2 (en) * 2001-11-16 2006-05-23 Bio-X Inc. FET type sensor, ion density detecting method comprising this sensor, and base sequence detecting method
US20060121670A1 (en) * 2002-06-14 2006-06-08 James Stasiak Memory device having a semiconducting polymer film
US7087387B2 (en) * 1997-04-16 2006-08-08 Applera Corporation Nucleic acid archiving
US7090975B2 (en) * 1998-03-13 2006-08-15 Promega Corporation Pyrophosphorolysis and incorporation of nucleotide method for nucleic acid detection
US7097973B1 (en) * 1999-06-14 2006-08-29 Alpha Mos Method for monitoring molecular species within a medium
US20060199193A1 (en) * 2005-03-04 2006-09-07 Tae-Woong Koo Sensor arrays and nucleic acid sequencing applications
US20060219558A1 (en) * 2005-04-05 2006-10-05 Hafeman Dean G Improved Methods and Devices for Concentration and Fractionation of Analytes for Chemical Analysis including Matrix-Assisted Laser Desorption/Ionization (MALDI) Mass Spectrometry (MS)
US20060228721A1 (en) * 2005-04-12 2006-10-12 Leamon John H Methods for determining sequence variants using ultra-deep sequencing
US20060246497A1 (en) * 2005-04-27 2006-11-02 Jung-Tang Huang Ultra-rapid DNA sequencing method with nano-transistors array based devices
US20070087362A1 (en) * 2004-02-27 2007-04-19 President And Fellows Of Harvard College Polony fluorescent in situ sequencing beads
US20070087401A1 (en) * 2003-10-17 2007-04-19 Andy Neilson Analysis of metabolic activity in cells using extracellular flux rate measurements
US7211390B2 (en) * 1999-09-16 2007-05-01 454 Life Sciences Corporation Method of sequencing a nucleic acid
US20070117099A1 (en) * 2005-11-18 2007-05-24 Mei Technologies, Inc. Process and apparatus for combinatorial synthesis
US7223540B2 (en) * 2000-10-20 2007-05-29 The Board Of Trustees Of The Leland Stanford Junior University Transient electrical signal based methods and devices for characterizing molecular interaction and/or motion in a sample
US7264934B2 (en) * 2004-06-10 2007-09-04 Ge Healthcare Bio-Sciences Corp. Rapid parallel nucleic acid analysis
US20070212681A1 (en) * 2004-08-30 2007-09-13 Benjamin Shapiro Cell canaries for biochemical pathogen detection
US7276749B2 (en) * 2002-02-05 2007-10-02 E-Phocus, Inc. Image sensor with microcrystalline germanium photodiode layer
US7291496B2 (en) * 2003-05-22 2007-11-06 University Of Hawaii Ultrasensitive biochemical sensor
US7303875B1 (en) * 2002-10-10 2007-12-04 Nanosys, Inc. Nano-chem-FET based biosensors
US7317216B2 (en) * 2003-10-31 2008-01-08 University Of Hawaii Ultrasensitive biochemical sensing platform
US20080115361A1 (en) * 2000-03-02 2008-05-22 Microchips, Inc. Method for Making Reservoir-Based Sensor Device
US20080121946A1 (en) * 2006-08-31 2008-05-29 Youn Doo Hyeb Method of forming sensor for detecting gases and biochemical materials, integrated circuit having the sensor, and method of manufacturing the integrated circuit
US20080145910A1 (en) * 2006-12-19 2008-06-19 Sigma Aldrich Company Stabilized compositions of thermostable dna polymerase and anionic or zwitterionic detergent
US20080166727A1 (en) * 2006-12-20 2008-07-10 The Board Of Trustees Of The Leland Stanford Junior University Heat and pH Measurement for Sequencing of DNA
US20080230386A1 (en) * 2006-04-18 2008-09-25 Vijay Srinivasan Sample Processing Droplet Actuator, System and Method
US20080265985A1 (en) * 2004-07-13 2008-10-30 Dna Electronics Ltd. Signal Processing Circuit Comprising Ion Sensitive Field Effect Transistor and Method of Monitoring a Property of a Fluid
US20080286767A1 (en) * 2004-08-27 2008-11-20 National Institute For Materials Science Method of Analyzing Dna Sequence Using Field-Effect Device, and Base Sequence Analyzer
US20090026082A1 (en) * 2006-12-14 2009-01-29 Ion Torrent Systems Incorporated Methods and apparatus for measuring analytes using large scale FET arrays
US20090127589A1 (en) * 2006-12-14 2009-05-21 Ion Torrent Systems Incorporated Methods and apparatus for measuring analytes using large scale FET arrays
US7595883B1 (en) * 2002-09-16 2009-09-29 The Board Of Trustees Of The Leland Stanford Junior University Biological analysis arrangement and approach therefor

Family Cites Families (444)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3531258A (en) 1967-11-16 1970-09-29 Us Health Education & Welfare Apparatus for the automated synthesis of peptides
DE2413703C3 (en) 1974-03-21 1979-01-04 Max-Planck-Gesellschaft Zur Foerderung Der Wissenschaften E.V., 3400 Goettingen Valve arrangement for the supply of liquid or gaseous substances to a processing vessel
JPS5530312B2 (en) 1975-01-16 1980-08-09
US5132418A (en) 1980-02-29 1992-07-21 University Patents, Inc. Process for preparing polynucleotides
JPS57136158A (en) 1981-02-17 1982-08-23 Sumitomo Electric Ind Ltd Ph electrode
GB2096824A (en) 1981-04-09 1982-10-20 Sibbald Alastair Chemically sensitive field effect transistor
DE3269784D1 (en) 1981-05-15 1986-04-17 Licentia Gmbh Method for measuring ionic concentrations
FR2510260A1 (en) 1981-07-24 1983-01-28 Suisse Fond Rech Microtech ION-SENSITIVE SEMICONDUCTOR DEVICE
US4438354A (en) 1981-08-14 1984-03-20 American Microsystems, Incorporated Monolithic programmable gain-integrator stage
JPS5870155U (en) 1981-11-06 1983-05-12 ヤマハ株式会社 Electronic equipment storage furniture
US4411741A (en) 1982-01-12 1983-10-25 University Of Utah Apparatus and method for measuring the concentration of components in fluids
US4558845A (en) 1982-09-22 1985-12-17 Hunkapiller Michael W Zero dead volume valve
NL8302964A (en) 1983-08-24 1985-03-18 Cordis Europ DEVICE FOR DETERMINING THE ACTIVITY OF AN ION (PION) IN A LIQUID.
NL8303792A (en) 1983-11-03 1985-06-03 Cordis Europ Apparatus provided with an measuring circuit based on an ISFET; ISFET SUITABLE FOR USE IN THE MEASURING CIRCUIT AND METHOD FOR MANUFACTURING AN ISFET TO BE USED IN THE MEASURING CIRCUIT
JPS60128345A (en) 1983-12-15 1985-07-09 Olympus Optical Co Ltd Measuring device for ion concentration
US4660063A (en) 1985-03-18 1987-04-21 General Electric Company Immersion type ISFET
DE3513168A1 (en) 1985-04-12 1986-10-16 Thomas 8000 München Dandekar BIOSENSOR CONSISTING OF A SEMICONDUCTOR BASED ON SILICON OR CARBON-BASED (ELECTRONIC PART) AND NUCLEIN BASE (OR. OTHER BIOL. MONOMERS)
US4743954A (en) 1985-06-07 1988-05-10 University Of Utah Integrated circuit for a chemical-selective sensor with voltage output
EP0213825A3 (en) 1985-08-22 1989-04-26 Molecular Devices Corporation Multiple chemically modulated capacitance
GB8522785D0 (en) 1985-09-14 1985-10-16 Emi Plc Thorn Chemical-sensitive semiconductor device
US5140393A (en) 1985-10-08 1992-08-18 Sharp Kabushiki Kaisha Sensor device
JPS62237349A (en) 1986-04-08 1987-10-17 Nec Corp Instrument for measuring distribution of hydrogen ion concentration
US4864229A (en) 1986-05-03 1989-09-05 Integrated Ionics, Inc. Method and apparatus for testing chemical and ionic sensors
US5082788A (en) 1986-08-27 1992-01-21 Porton Instruments, Inc. Method of sequencing peptides and proteins using a valve block assembly
JPS6364406A (en) 1986-09-04 1988-03-22 Tamura Seisakusho Co Ltd Variable frequency chopping system insulating amplifier
US5113870A (en) 1987-05-01 1992-05-19 Rossenfeld Joel P Method and apparatus for the analysis, display and classification of event related potentials by interpretation of P3 responses
US4927736A (en) 1987-07-21 1990-05-22 Hoechst Celanese Corporation Hydroxy polyimides and high temperature positive photoresists therefrom
WO1989007263A1 (en) 1988-02-08 1989-08-10 I-Stat Corporation Metal oxide electrodes
US4893088A (en) 1988-11-16 1990-01-09 Harris Corporation Transimpedance focal plane processor
US5084911A (en) 1989-01-10 1992-01-28 Eastman Kodak Company X-ray phototimer
US4990974A (en) 1989-03-02 1991-02-05 Thunderbird Technologies, Inc. Fermi threshold field effect transistor
JPH02250331A (en) 1989-03-24 1990-10-08 Hitachi Ltd Semiconductor device and its manufacture
EP0394598B1 (en) 1989-04-28 1996-03-06 International Business Machines Corporation An improved gate array cell having FETS of different and optimized sizes
JP2789109B2 (en) 1989-05-25 1998-08-20 三菱電機株式会社 Semiconductor device and manufacturing method thereof
US5143854A (en) 1989-06-07 1992-09-01 Affymax Technologies N.V. Large scale photolithographic solid phase synthesis of polypeptides and receptor binding screening thereof
US6919211B1 (en) 1989-06-07 2005-07-19 Affymetrix, Inc. Polypeptide arrays
JP3001104B2 (en) 1989-10-04 2000-01-24 オリンパス光学工業株式会社 Sensor structure and method of manufacturing the same
IT1238117B (en) 1989-10-16 1993-07-07 Marelli Autronica SWITCHED CAPACITORS CIRCUIT, INTEGRABLE IN MOS TECHNOLOGY, WITH DOUBLE HALF-wave RECTIFIER AND INTEGRATOR FUNCTION
US5118607A (en) 1989-10-23 1992-06-02 Hawaii Biotechnology Group, Inc. Non-aqueous solvent specific binding protein assays
JP3120237B2 (en) 1990-01-10 2000-12-25 セイコーインスツルメンツ株式会社 Image sensor
US6054034A (en) 1990-02-28 2000-04-25 Aclara Biosciences, Inc. Acrylic microchannels and their use in electrophoretic applications
US5126022A (en) 1990-02-28 1992-06-30 Soane Tecnologies, Inc. Method and device for moving molecules by the application of a plurality of electrical fields
US5126759A (en) 1990-06-26 1992-06-30 Eastman Kodak Company Non-impact printer with token bit control of data and current regulation signals
US5202576A (en) 1990-08-29 1993-04-13 Texas Instruments Incorporated Asymmetrical non-volatile memory cell, arrays and methods for fabricating same
KR940010562B1 (en) 1991-09-06 1994-10-24 손병기 Ion-sensing fet with ta2o5 hydrogen ion-sensing film
JPH0580115A (en) 1991-09-19 1993-04-02 Fujitsu Ltd Non-volatile ram and floating gate voltage level sensing method for it
JPH0577210A (en) 1991-09-25 1993-03-30 Matsushita Electric Works Ltd Production of floor material
US5498392A (en) 1992-05-01 1996-03-12 Trustees Of The University Of Pennsylvania Mesoscale polynucleotide amplification device and method
US5637469A (en) 1992-05-01 1997-06-10 Trustees Of The University Of Pennsylvania Methods and apparatus for the detection of an analyte utilizing mesoscale flow systems
US5587128A (en) 1992-05-01 1996-12-24 The Trustees Of The University Of Pennsylvania Mesoscale polynucleotide amplification devices
JPH0645875A (en) 1992-07-24 1994-02-18 Nec Corp Switched capacitor circuit
US5313984A (en) 1992-09-24 1994-05-24 Santa Barbara Research Center Multi-fluid, variable sequence, zero dead volume valve and system
DE4232532A1 (en) 1992-09-29 1994-04-28 Ct Fuer Intelligente Sensorik Ion-sensitive field effect transistor mfr. for higher reliability - involves electrostatic protection by diodes within well and substrate of CMOS structure in conjunction with pseudo-reference electrode
JPH06138846A (en) 1992-10-29 1994-05-20 Hitachi Ltd Liquid crystal half-tone display system
US5436149A (en) 1993-02-19 1995-07-25 Barnes; Wayne M. Thermostable DNA polymerase with enhanced thermostability and enhanced length and efficiency of primer extension
WO1994026029A1 (en) * 1993-04-26 1994-11-10 Unifet Incorporated Method and apparatus for multiplexing devices having long thermal time constants
DE69333722T2 (en) 1993-05-31 2005-12-08 Stmicroelectronics S.R.L., Agrate Brianza Method for improving the adhesion between dielectric layers, at their interface, in the manufacture of semiconductor devices
JP3413664B2 (en) 1993-08-12 2003-06-03 ソニー株式会社 Charge transfer device
JPH07169861A (en) 1993-12-14 1995-07-04 Nec Corp Non-volatile semiconductor memory
US5414284A (en) 1994-01-19 1995-05-09 Baxter; Ronald D. ESD Protection of ISFET sensors
US6021172A (en) 1994-01-28 2000-02-01 California Institute Of Technology Active pixel sensor having intra-pixel charge transfer with analog-to-digital converter
EP0752099A1 (en) 1994-02-09 1997-01-08 Abbott Laboratories Diagnostic flow cell device
JP3351088B2 (en) 1994-03-28 2002-11-25 松下電工株式会社 Power supply
US5439839A (en) 1994-07-13 1995-08-08 Winbond Electronics Corporation Self-aligned source/drain MOS process
US6001229A (en) 1994-08-01 1999-12-14 Lockheed Martin Energy Systems, Inc. Apparatus and method for performing microfluidic manipulations for chemical analysis
DE4430811C1 (en) 1994-08-30 1995-09-07 Fraunhofer Ges Forschung Ion-sensitive FET prodn., useful for mfg. integrated liq. sensor circuit
US6654505B2 (en) 1994-10-13 2003-11-25 Lynx Therapeutics, Inc. System and apparatus for sequential processing of analytes
US5631704A (en) 1994-10-14 1997-05-20 Lucent Technologies, Inc. Active pixel sensor and imaging system having differential mode
US5490971A (en) 1994-10-25 1996-02-13 Sippican, Inc. Chemical detector
US5830645A (en) 1994-12-09 1998-11-03 The Regents Of The University Of California Comparative fluorescence hybridization to nucleic acid arrays
US6001299A (en) 1995-02-21 1999-12-14 Japan Vilene Company, Ltd. Process and apparatus for manufacturing an electret article
DE19512117A1 (en) 1995-04-04 1996-10-10 Itt Ind Gmbh Deutsche Measuring device
FR2736205B1 (en) 1995-06-30 1997-09-19 Motorola Semiconducteurs SEMICONDUCTOR SENSOR DEVICE AND ITS FORMING METHOD
US5646558A (en) 1995-09-27 1997-07-08 Intel Corporation Plurality of distinct multiplexers that operate as a single multiplexer
US5702964A (en) 1995-10-17 1997-12-30 Lg Semicon, Co., Ltd. Method for forming a semiconductor device having a floating gate
US5895274A (en) 1996-01-22 1999-04-20 Micron Technology, Inc. High-pressure anneal process for integrated circuits
US6825047B1 (en) 1996-04-03 2004-11-30 Applera Corporation Device and method for multiple analyte detection
JP3565983B2 (en) 1996-04-12 2004-09-15 株式会社半導体エネルギー研究所 Method for manufacturing semiconductor device
DE19621996C2 (en) * 1996-05-31 1998-04-09 Siemens Ag Method for producing a combination of a pressure sensor and an electrochemical sensor
US6074827A (en) 1996-07-30 2000-06-13 Aclara Biosciences, Inc. Microfluidic method for nucleic acid purification and processing
JP2002515044A (en) 1996-08-21 2002-05-21 スミスクライン・ビーチャム・コーポレイション A rapid method for sequencing and synthesizing bead-based combinatorial libraries
JPH1078827A (en) 1996-09-02 1998-03-24 Yokogawa Electric Corp Start circuit for ic
GB9620209D0 (en) 1996-09-27 1996-11-13 Cemu Bioteknik Ab Method of sequencing DNA
US5894284A (en) 1996-12-02 1999-04-13 Motorola, Inc. Common-mode output sensing circuit
US5958703A (en) 1996-12-03 1999-09-28 Glaxo Group Limited Use of modified tethers in screening compound libraries
DE19653439A1 (en) 1996-12-20 1998-07-02 Svante Dr Paeaebo Methods for the direct, exponential amplification and sequencing of DNA molecules and their application
US6605428B2 (en) 1996-12-20 2003-08-12 Roche Diagnostics Gmbh Method for the direct, exponential amplification and sequencing of DNA molecules and its application
US20030215857A1 (en) 1996-12-20 2003-11-20 Roche Diagnostics Gmbh Method for the direct, exponential amplification and sequencing of DNA molecules and its application
US5912560A (en) 1997-02-25 1999-06-15 Waferscale Integration Inc. Charge pump circuit for voltage boosting in integrated semiconductor circuits
US5793230A (en) 1997-02-26 1998-08-11 Sandia Corporation Sensor readout detector circuit
US6197557B1 (en) 1997-03-05 2001-03-06 The Regents Of The University Of Michigan Compositions and methods for analysis of nucleic acids
US6391622B1 (en) 1997-04-04 2002-05-21 Caliper Technologies Corp. Closed-loop biochemical analyzers
JP3666604B2 (en) 1997-04-16 2005-06-29 アプレラ コーポレーション Nucleic acid archiving
US5944970A (en) 1997-04-29 1999-08-31 Honeywell Inc. Solid state electrochemical sensors
US5911873A (en) 1997-05-02 1999-06-15 Rosemount Analytical Inc. Apparatus and method for operating an ISFET at multiple drain currents and gate-source voltages allowing for diagnostics and control of isopotential points
US7220550B2 (en) 1997-05-14 2007-05-22 Keensense, Inc. Molecular wire injection sensors
US6002299A (en) 1997-06-10 1999-12-14 Cirrus Logic, Inc. High-order multipath operational amplifier with dynamic offset reduction, controlled saturation current limiting, and current feedback for enhanced conditional stability
FR2764702B1 (en) 1997-06-11 1999-09-03 Lyon Ecole Centrale METHOD FOR IDENTIFYING AND / OR DETERMINING BIOLOGICAL SUBSTANCES PRESENT IN A CONDUCTIVE LIQUID, DEVICE AND AFFINITY SENSOR USEFUL FOR THE IMPLEMENTATION OF THIS PROCESS
US5923421A (en) 1997-07-24 1999-07-13 Lockheed Martin Energy Research Corporation Chemical detection using calorimetric spectroscopy
US6485944B1 (en) 1997-10-10 2002-11-26 President And Fellows Of Harvard College Replica amplification of nucleic acid arrays
EP1028970A1 (en) 1997-10-10 2000-08-23 President And Fellows Of Harvard College Replica amplification of nucleic acid arrays
AU1517999A (en) 1997-10-15 1999-05-03 Aclara Biosciences, Inc. Laminate microstructure device and method for making same
KR100251528B1 (en) 1997-10-22 2000-04-15 김덕중 Sense field effect transistor having multi-sense source pad
US6369737B1 (en) 1997-10-30 2002-04-09 The Board Of Trustees Of The Leland Stanford Junior University Method and apparatus for converting a low dynamic range analog signal to a large dynamic range floating-point digital representation
EP0928101A3 (en) 1997-12-31 2001-05-02 Texas Instruments Incorporated CMOS area array sensors
JP4183789B2 (en) 1998-01-14 2008-11-19 株式会社堀場製作所 Detection device for physical and / or chemical phenomena
US6627154B1 (en) 1998-04-09 2003-09-30 Cyrano Sciences Inc. Electronic techniques for analyte detection
US7875440B2 (en) 1998-05-01 2011-01-25 Arizona Board Of Regents Method of determining the nucleotide sequence of oligonucleotides and DNA molecules
US6195585B1 (en) 1998-06-26 2001-02-27 Advanced Bionics Corporation Remote monitoring of implantable cochlear stimulator
US6787111B2 (en) 1998-07-02 2004-09-07 Amersham Biosciences (Sv) Corp. Apparatus and method for filling and cleaning channels and inlet ports in microchips used for biological analysis
JP4137239B2 (en) 1998-08-03 2008-08-20 株式会社堀場製作所 ISFET array
US6191444B1 (en) 1998-09-03 2001-02-20 Micron Technology, Inc. Mini flash process and circuit
KR100324914B1 (en) 1998-09-25 2002-02-28 니시무로 타이죠 Test method of substrate
JP2002529742A (en) 1998-11-06 2002-09-10 オンガード システムズ,インク. Electronic circuit
US6535824B1 (en) 1998-12-11 2003-03-18 Symyx Technologies, Inc. Sensor array-based system and method for rapid materials characterization
CA2355816C (en) 1998-12-14 2007-10-30 Li-Cor, Inc. A system and methods for nucleic acid sequencing of single molecules by polymerase synthesis
DE19857953C2 (en) 1998-12-16 2001-02-15 Conducta Endress & Hauser Device for measuring the concentration of ions in a measuring liquid
US6361671B1 (en) 1999-01-11 2002-03-26 The Regents Of The University Of California Microfabricated capillary electrophoresis chip and method for simultaneously detecting multiple redox labels
US20020150909A1 (en) 1999-02-09 2002-10-17 Stuelpnagel John R. Automated information processing in randomly ordered arrays
AU2823100A (en) 1999-02-22 2000-09-14 Yissum Research Development Company Of The Hebrew University Of Jerusalem A hybrid electrical device with biological components
US20020124663A1 (en) 1999-04-07 2002-09-12 Yoshitomo Tokumoto Rotational angle detecting device, torque detecting device and steering apparatus
US20050244870A1 (en) 1999-04-20 2005-11-03 Illumina, Inc. Nucleic acid sequencing using microsphere arrays
US6355431B1 (en) 1999-04-20 2002-03-12 Illumina, Inc. Detection of nucleic acid amplification reactions using bead arrays
CA2373537A1 (en) 1999-05-12 2000-11-16 Aclara Biosciences, Inc. Multiplexed fluorescent detection in microfluidic devices
US6818395B1 (en) 1999-06-28 2004-11-16 California Institute Of Technology Methods and apparatus for analyzing polynucleotide sequences
WO2001006239A2 (en) 1999-07-16 2001-01-25 Board Of Regents, The University Of Texas System Method and apparatus for the delivery of samples to a chemical sensor array
US6459398B1 (en) 1999-07-20 2002-10-01 D.S.P.C. Technologies Ltd. Pulse modulated digital to analog converter (DAC)
US7935481B1 (en) 1999-07-26 2011-05-03 Osmetech Technology Inc. Sequence determination of nucleic acids using electronic detection
US6977145B2 (en) 1999-07-28 2005-12-20 Serono Genetics Institute S.A. Method for carrying out a biochemical protocol in continuous flow in a microreactor
US6423536B1 (en) 1999-08-02 2002-07-23 Molecular Dynamics, Inc. Low volume chemical and biochemical reaction system
US6671341B1 (en) 1999-09-17 2003-12-30 Agere Systems, Inc. Glitch-free phase switching synthesizer
US7124221B1 (en) 1999-10-19 2006-10-17 Rambus Inc. Low latency multi-level communication interface
US6878255B1 (en) 1999-11-05 2005-04-12 Arrowhead Center, Inc. Microfluidic devices with thick-film electrochemical detection
GB9926956D0 (en) 1999-11-13 2000-01-12 Koninkl Philips Electronics Nv Amplifier
US6518024B2 (en) 1999-12-13 2003-02-11 Motorola, Inc. Electrochemical detection of single base extension
US20030148301A1 (en) 1999-12-10 2003-08-07 Toshiya Aono Method of detecting nucleotide polymorphism
JP3937136B2 (en) 1999-12-10 2007-06-27 東洋紡績株式会社 Nucleotide polymorphism detection method
JP2001175340A (en) 1999-12-14 2001-06-29 Matsushita Electric Ind Co Ltd Potential generation circuit
US6372291B1 (en) 1999-12-23 2002-04-16 Applied Materials, Inc. In situ deposition and integration of silicon nitride in a high density plasma reactor
DE19963509A1 (en) 1999-12-28 2001-07-05 Merck Patent Gmbh Process for the production of high-purity sulfuric acid
JP4674307B2 (en) 2000-02-14 2011-04-20 エスティー‐エリクソン、ソシエテ、アノニム Current / voltage converter with controllable gain and signal processing circuit having such a converter
WO2001061044A1 (en) 2000-02-15 2001-08-23 Lynx Therapeutics, Inc. Data analysis and display system for ligation-based dna sequencing
WO2001061043A2 (en) 2000-02-16 2001-08-23 Illumina, Inc. Parallel genotyping of multiple patient samples
US6649416B1 (en) 2000-02-18 2003-11-18 Trustees Of Tufts College Intelligent electro-optical sensor array and method for analyte detection
JP3442338B2 (en) 2000-03-17 2003-09-02 株式会社日立製作所 DNA analyzer, DNA base sequencer, DNA base sequence determination method, and reaction module
US6856161B2 (en) 2000-03-30 2005-02-15 Infineon Technologies Ag Sensor array and method for detecting the condition of a transistor in a sensor array
US20040002470A1 (en) 2000-04-13 2004-01-01 Tim Keith Novel human gene relating to respiratory diseases, obesity, and inflammatory bowel disease
EP1285252A1 (en) 2000-04-24 2003-02-26 Eagle Research &amp; Development, LLC An ultra-fast nucleic acid sequencing device and a method for making and using the same
US7001792B2 (en) 2000-04-24 2006-02-21 Eagle Research & Development, Llc Ultra-fast nucleic acid sequencing device and a method for making and using the same
US8232582B2 (en) 2000-04-24 2012-07-31 Life Technologies Corporation Ultra-fast nucleic acid sequencing device and a method for making and using the same
US7682837B2 (en) 2000-05-05 2010-03-23 Board Of Trustees Of Leland Stanford Junior University Devices and methods to form a randomly ordered array of magnetic beads and uses thereof
US20020042388A1 (en) 2001-05-01 2002-04-11 Cooper Mark J. Lyophilizable and enhanced compacted nucleic acids
US20020168678A1 (en) 2000-06-07 2002-11-14 Li-Cor, Inc. Flowcell system for nucleic acid sequencing
CN100462433C (en) 2000-07-07 2009-02-18 维西根生物技术公司 Real-time sequence determination
US6611037B1 (en) 2000-08-28 2003-08-26 Micron Technology, Inc. Multi-trench region for accumulation of photo-generated charge in a CMOS imager
US6939451B2 (en) 2000-09-19 2005-09-06 Aclara Biosciences, Inc. Microfluidic chip having integrated electrodes
US6537881B1 (en) 2000-10-16 2003-03-25 Advanced Micro Devices, Inc. Process for fabricating a non-volatile memory device
US6558626B1 (en) 2000-10-17 2003-05-06 Nomadics, Inc. Vapor sensing instrument for ultra trace chemical detection
US6770472B2 (en) 2000-11-17 2004-08-03 The Board Of Trustees Of The Leland Stanford Junior University Direct DNA sequencing with a transcription protein and a nanometer scale electrometer
CA2430888C (en) 2000-12-11 2013-10-22 President And Fellows Of Harvard College Nanosensors
GB2370410A (en) 2000-12-22 2002-06-26 Seiko Epson Corp Thin film transistor sensor
DE10065013B4 (en) 2000-12-23 2009-12-24 Robert Bosch Gmbh Method for producing a micromechanical component
KR20020055785A (en) 2000-12-29 2002-07-10 구본준, 론 위라하디락사 IPS mode Liquid crystal display device
WO2002079514A1 (en) 2001-01-10 2002-10-10 The Trustees Of Boston College Dna-bridged carbon nanotube arrays
JP2002221510A (en) 2001-01-26 2002-08-09 Japan Science & Technology Corp Accumulation type chemical/physical phenomenon detection device
JP4809983B2 (en) 2001-02-14 2011-11-09 明彦 谷岡 Apparatus and method for detecting interaction between biopolymer and ligand
EP1236804A1 (en) 2001-03-02 2002-09-04 Boehringer Mannheim Gmbh A method for determination of a nucleic acid using a control
DE10111458B4 (en) 2001-03-09 2008-09-11 Siemens Ag analyzer
US8114591B2 (en) 2001-03-09 2012-02-14 Dna Electronics Ltd. Sensing apparatus and method
US7297518B2 (en) 2001-03-12 2007-11-20 California Institute Of Technology Methods and apparatus for analyzing polynucleotide sequences by asynchronous base extension
US7027932B2 (en) 2001-03-21 2006-04-11 Olympus Optical Co., Ltd. Biochemical examination method
JP2002272463A (en) 2001-03-22 2002-09-24 Olympus Optical Co Ltd Method for judging form of monobasic polymorphism
US20050058990A1 (en) 2001-03-24 2005-03-17 Antonio Guia Biochip devices for ion transport measurement, methods of manufacture, and methods of use
US20040146849A1 (en) 2002-01-24 2004-07-29 Mingxian Huang Biochips including ion transport detecting structures and methods of use
US6960437B2 (en) 2001-04-06 2005-11-01 California Institute Of Technology Nucleic acid amplification utilizing microfluidic devices
US7235389B2 (en) 2001-04-23 2007-06-26 Samsung Electronics Co., Ltd. Molecular detection device and chip including MOSFET
KR100442838B1 (en) 2001-12-11 2004-08-02 삼성전자주식회사 Method for detecting immobilization of probes and method for detecting binding degree between the probes and target samples
KR100455283B1 (en) 2001-04-23 2004-11-08 삼성전자주식회사 Molecular detection chip including MOSFET fabricated in the sidewall of molecular flux channel, molecular detection apparatus having the same, fabrication method for the same, and method for molecular detection using the molecular detection apparatus
US6571189B2 (en) 2001-05-14 2003-05-27 Hewlett-Packard Company System and method for scanner calibration
WO2003004690A2 (en) 2001-07-06 2003-01-16 454$m(3) CORPORATION Method for isolation of independent, parallel chemical micro-reactions using a porous filter
US7668697B2 (en) 2006-02-06 2010-02-23 Andrei Volkov Method for analyzing dynamic detectable events at the single molecule level
DE10133363A1 (en) 2001-07-10 2003-01-30 Infineon Technologies Ag Measuring cell and measuring field with such measuring cells as well as using a measuring cell and using a measuring field
US7485443B2 (en) 2001-07-17 2009-02-03 Northwestern University Solid-phase reactions
JP2003032908A (en) 2001-07-19 2003-01-31 Nisshinbo Ind Inc Capacitor battery pack, control method and controller thereof, and automotive storage system
EP2135943A1 (en) 2001-07-30 2009-12-23 Meso Scale Technologies, LLC. Assay electrode having immobilized lipid/protein layers, methods of making the same and methods of using the same for luminescence test measurements
US6490220B1 (en) 2001-08-13 2002-12-03 Micron Technology, Inc. Method for reliably shutting off oscillator pulses to a charge-pump
JP4623887B2 (en) 2001-08-27 2011-02-02 オー・エイチ・ティー株式会社 Sensor for inspection device and inspection device
US6929944B2 (en) 2001-08-31 2005-08-16 Beckman Coulter, Inc. Analysis using a distributed sample
GB0121602D0 (en) 2001-09-06 2001-10-24 Randox Lab Ltd Molecular array
US20030054396A1 (en) 2001-09-07 2003-03-20 Weiner Michael P. Enzymatic light amplification
DE10151021A1 (en) 2001-10-16 2003-04-30 Infineon Technologies Ag Sensor arrangement
DE10151020A1 (en) * 2001-10-16 2003-04-30 Infineon Technologies Ag Circuit arrangement, sensor array and biosensor array
US6795117B2 (en) 2001-11-06 2004-09-21 Candela Microsystems, Inc. CMOS image sensor with noise cancellation
EP1460130B1 (en) 2001-12-19 2007-03-21 Hitachi High-Technologies Corporation Potentiometric dna microarray, process for producing the same and method of analyzing nucleic acid
US20050106587A1 (en) 2001-12-21 2005-05-19 Micronas Gmbh Method for determining of nucleic acid analytes
US6518146B1 (en) 2002-01-09 2003-02-11 Motorola, Inc. Semiconductor device structure and method for forming
FR2835058B1 (en) 2002-01-21 2004-03-12 Centre Nat Rech Scient METHOD FOR DETECTING AT LEAST ONE CHARACTERISTIC PARAMETER OF PROBE MOLECULES FIXED ON AT LEAST ONE ACTIVE ZONE OF A SENSOR
KR100403637B1 (en) 2002-01-26 2003-10-30 삼성전자주식회사 Power amplifier clipping circuit for minimizing output distortion
US6614301B2 (en) 2002-01-31 2003-09-02 Intel Corporation Differential amplifier offset adjustment
US6926865B2 (en) 2002-02-11 2005-08-09 Matsushita Electric Industrial Co., Ltd. Method and apparatus for detecting DNA hybridization
JP2003258128A (en) 2002-02-27 2003-09-12 Nec Electronics Corp Non-volatile semiconductor memory device, manufacturing method and operating method of the same
US7504364B2 (en) * 2002-03-01 2009-03-17 Receptors Llc Methods of making arrays and artificial receptors
US7223371B2 (en) 2002-03-14 2007-05-29 Micronics, Inc. Microfluidic channel network device
JP2003279532A (en) 2002-03-22 2003-10-02 Horiba Ltd Chemical concentration sensor and method for measuring the same
JP2003322633A (en) 2002-05-01 2003-11-14 Seiko Epson Corp Sensor cell, biosensor, and manufacturing method therefor
US20030215791A1 (en) 2002-05-20 2003-11-20 Applied Spectral Imaging Ltd. Method of and system for multiplexed analysis by spectral imaging
US6894930B2 (en) 2002-06-19 2005-05-17 Sandisk Corporation Deep wordline trench to shield cross coupling between adjacent cells for scaled NAND
AU2003258969A1 (en) 2002-06-27 2004-01-19 Nanosys Inc. Planar nanowire based sensor elements, devices, systems and methods for using and making same
US7092757B2 (en) 2002-07-12 2006-08-15 Cardiac Pacemakers, Inc. Minute ventilation sensor with dynamically adjusted excitation current
US6885827B2 (en) 2002-07-30 2005-04-26 Amplification Technologies, Inc. High sensitivity, high resolution detection of signals
EP1525470A2 (en) 2002-07-31 2005-04-27 Infineon Technologies AG Sensor arrangement
US7842377B2 (en) 2003-08-08 2010-11-30 Boston Scientific Scimed, Inc. Porous polymeric particle comprising polyvinyl alcohol and having interior to surface porosity-gradient
EP1542009B1 (en) 2002-08-12 2009-11-25 Hitachi High-Technologies Corporation Method of detecting nucleic acid by using dna microarrays and nucleic acid detection apparatus
US7267751B2 (en) 2002-08-20 2007-09-11 Nanogen, Inc. Programmable multiplexed active biologic array
GB0219541D0 (en) 2002-08-22 2002-10-02 Secr Defence Method and apparatus for stand-off chemical detection
JP4092990B2 (en) 2002-09-06 2008-05-28 株式会社日立製作所 Biological and chemical sample inspection equipment
US8449824B2 (en) 2002-09-09 2013-05-28 Yizhong Sun Sensor instrument system including method for detecting analytes in fluids
SE0202867D0 (en) 2002-09-27 2002-09-27 Pyrosequencing Ab New sequencing method
CN1500887A (en) 2002-10-01 2004-06-02 松下电器产业株式会社 Method for detecting primer elongation reaction, method and apparatus for distinguishing kinds of basic groups
DE10247889A1 (en) 2002-10-14 2004-04-22 Infineon Technologies Ag Solid-state sensor assembly has a number of sensor components on or in a substrate and an electrical signal converter coupled to a sensor element
US20040079636A1 (en) 2002-10-25 2004-04-29 Chin Hsia Biomedical ion sensitive semiconductor sensor and sensor array
US7053439B2 (en) 2002-10-29 2006-05-30 Edwin Kan Chemoreceptive semiconductor structure
US6700814B1 (en) 2002-10-30 2004-03-02 Motorola, Inc. Sense amplifier bias circuit for a memory having at least two distinct resistance states
AU2003291668A1 (en) 2002-11-01 2004-06-07 Georgia Tech Research Corporation Sacrificial compositions, methods of use thereof, and methods of decomposition thereof
DE10251757B4 (en) 2002-11-05 2006-03-09 Micronas Holding Gmbh Device for determining the concentration of ligands contained in a sample to be examined
US7022288B1 (en) 2002-11-13 2006-04-04 The United States Of America As Represented By The Secretary Of The Navy Chemical detection sensor system
US20040130377A1 (en) 2002-11-26 2004-07-08 Akira Takeda Switched capacitor amplifier circuit and electronic device
DE10255755B4 (en) 2002-11-28 2006-07-13 Schneider, Christian, Dr. Integrated electronic circuit with field effect sensors for the detection of biomolecules
CN1720438A (en) 2002-11-29 2006-01-11 日本电气株式会社 Separation equipment and separation method
US7163659B2 (en) 2002-12-03 2007-01-16 Hewlett-Packard Development Company, L.P. Free-standing nanowire sensor and method for detecting an analyte in a fluid
WO2004052540A2 (en) 2002-12-05 2004-06-24 Protasis Corporation Configurable microfluidic substrate assembly
US20040197803A1 (en) 2002-12-06 2004-10-07 Hidenobu Yaku Method, primer and kit for determining base type
US7317484B2 (en) 2003-02-26 2008-01-08 Digital Imaging Systems Gmbh CMOS APS readout scheme that combines reset drain current and the source follower output
US20070262363A1 (en) 2003-02-28 2007-11-15 Board Of Regents, University Of Texas System Low temperature fabrication of discrete silicon-containing substrates and devices
JP4586329B2 (en) 2003-03-10 2010-11-24 カシオ計算機株式会社 DNA analyzer and analysis method
EP1606416A2 (en) 2003-03-10 2005-12-21 Casio Computer Co., Ltd. Dna analyzing apparatus, dna sensor, and analyzing method
TW586228B (en) 2003-03-19 2004-05-01 Univ Chung Yuan Christian Method for fabricating a titanium nitride sensing membrane on an EGFET
TWI235236B (en) 2003-05-09 2005-07-01 Univ Chung Yuan Christian Ion-sensitive circuit
JP2004343441A (en) 2003-05-15 2004-12-02 Denso Corp Light receiving circuit and distance measuring unit
JP3760411B2 (en) 2003-05-21 2006-03-29 インターナショナル・ビジネス・マシーンズ・コーポレーション Active matrix panel inspection apparatus, inspection method, and active matrix OLED panel manufacturing method
JP4728956B2 (en) 2003-06-10 2011-07-20 イサム リサーチ デベロップメント カンパニー オブ ザ ヘブルー ユニバーシティ オブ エルサレム Electronic devices for communication with living cells
US7250115B2 (en) 2003-06-12 2007-07-31 Agilent Technologies, Inc Nanopore with resonant tunneling electrodes
US6795006B1 (en) 2003-07-18 2004-09-21 Zarlink Semiconductor Ab Integrator reset mechanism
WO2005015156A2 (en) 2003-08-04 2005-02-17 Idaho Research Foundation, Inc. Molecular detector
JP2005077210A (en) 2003-08-29 2005-03-24 National Institute For Materials Science Biomolecule detecting element and nucleic acid analyzing method using it
TWI223062B (en) 2003-09-03 2004-11-01 Univ Chung Yuan Christian Manufacture of an array pH sensor and device of its readout circuit
WO2005029040A2 (en) 2003-09-18 2005-03-31 Parallele Biosciences, Inc. System and methods for enhancing signal-to-noise ratios of microarray-based measurements
GB0322010D0 (en) 2003-09-19 2003-10-22 Univ Cambridge Tech Detection of molecular interactions using field effect transistors
JP2005124126A (en) 2003-09-24 2005-05-12 Seiko Epson Corp Impedance circuit network, and filter circuit, amplifier circuit, semiconductor integrated circuit, electronic component and wireless communications device using the same
US7008550B2 (en) 2003-09-25 2006-03-07 Hitachi Global Storage Technologies Netherlands B.V. Method for forming a read transducer by ion milling and chemical mechanical polishing to eliminate nonuniformity near the MR sensor
GB0323224D0 (en) 2003-10-03 2003-11-05 Rolls Royce Plc A module for a fuel cell stack
US20050095602A1 (en) 2003-11-04 2005-05-05 West Jason A. Microfluidic integrated microarrays for biological detection
US7981362B2 (en) 2003-11-04 2011-07-19 Meso Scale Technologies, Llc Modular assay plates, reader systems and methods for test measurements
US7067886B2 (en) 2003-11-04 2006-06-27 International Business Machines Corporation Method of assessing potential for charging damage in SOI designs and structures for eliminating potential for damage
WO2005047474A2 (en) 2003-11-10 2005-05-26 Geneohm Sciences, Inc. Nucleic acid detection method having increased sensitivity
DE10352917A1 (en) 2003-11-11 2005-06-16 Endress + Hauser Conducta Gesellschaft für Mess- und Regeltechnik mbH + Co. KG Sensor arrangement with several potentiometric sensors
US7169560B2 (en) 2003-11-12 2007-01-30 Helicos Biosciences Corporation Short cycle methods for sequencing polynucleotides
WO2005054431A2 (en) 2003-12-01 2005-06-16 454 Corporation Method for isolation of independent, parallel chemical micro-reactions using a porous filter
US7279588B2 (en) 2003-12-02 2007-10-09 Seoul National University Foundation Dinuclear metal complex and pyrophosphate assay using the same
EP1697749B1 (en) 2003-12-22 2013-04-17 Imec The use of microelectronic structures for patterned deposition of molecules onto surfaces
US6998666B2 (en) 2004-01-09 2006-02-14 International Business Machines Corporation Nitrided STI liner oxide for reduced corner device impact on vertical device performance
EP1706734A1 (en) 2004-01-21 2006-10-04 Rosemount Analytical Inc. Ion sensitive field effect transistor (isfet) sensor with improved gate configuration
JP4065855B2 (en) 2004-01-21 2008-03-26 株式会社日立製作所 Biological and chemical sample inspection equipment
JP3903183B2 (en) 2004-02-03 2007-04-11 独立行政法人物質・材料研究機構 Gene detection field effect device and gene polymorphism analysis method using the same
US7129883B2 (en) 2004-02-23 2006-10-31 Sony Corporation Method and apparatus for AD conversion, semiconductor device for detecting distribution of physical quantity, and electronic apparatus
JP2005242001A (en) 2004-02-26 2005-09-08 Agilent Technol Inc Tft array testing method
WO2005084367A2 (en) 2004-03-03 2005-09-15 The Trustees Of Columbia University In The City Of New York Photocleavable fluorescent nucleotides for dna sequencing on chip constructed by site-specific coupling chemistry
US20060057604A1 (en) 2004-03-15 2006-03-16 Thinkfar Nanotechnology Corporation Method for electrically detecting oligo-nucleotides with nano-particles
TWI256840B (en) 2004-03-16 2006-06-11 Samsung Electronics Co Ltd Method and circuit for performing correlated double sub-sampling (CDSS) of pixels in an active pixel sensor (APS) array
JP4127679B2 (en) 2004-03-18 2008-07-30 株式会社東芝 Nucleic acid detection cassette and nucleic acid detection apparatus
JP4734234B2 (en) 2004-03-24 2011-07-27 独立行政法人科学技術振興機構 Measuring method and system for detecting morphology and information related to biomolecules using IS-FET
US20050221473A1 (en) * 2004-03-30 2005-10-06 Intel Corporation Sensor array integrated circuits
WO2005095938A1 (en) 2004-04-01 2005-10-13 Nanyang Technological University Addressable transistor chip for conducting assays
US7117605B2 (en) 2004-04-13 2006-10-10 Gyrodata, Incorporated System and method for using microgyros to measure the orientation of a survey tool within a borehole
US7544979B2 (en) 2004-04-16 2009-06-09 Technion Research & Development Foundation Ltd. Ion concentration transistor and dual-mode sensors
US7462452B2 (en) 2004-04-30 2008-12-09 Pacific Biosciences Of California, Inc. Field-switch sequencing
TWI261801B (en) 2004-05-24 2006-09-11 Rohm Co Ltd Organic EL drive circuit and organic EL display device using the same organic EL drive circuit
ITTO20040386A1 (en) 2004-06-09 2004-09-09 Infm Istituto Naz Per La Fisi FIELD-EFFECTIVE DEVICE FOR THE DETECTION OF SMALL QUANTITIES OF ELECTRIC CHARGE, SUCH AS THOSE GENERATED IN BIOMOLECULAR PROCESSES, IMMOBILIZED NEAR THE SURFACE.
US7361946B2 (en) 2004-06-28 2008-04-22 Nitronex Corporation Semiconductor device-based sensors
JP3874772B2 (en) 2004-07-21 2007-01-31 株式会社日立製作所 Biologically related substance measuring apparatus and measuring method
JP4455215B2 (en) * 2004-08-06 2010-04-21 キヤノン株式会社 Imaging device
TWI258173B (en) 2004-10-08 2006-07-11 Ind Tech Res Inst Polysilicon thin-film ion sensitive FET device and fabrication method thereof
US7276453B2 (en) 2004-08-10 2007-10-02 E.I. Du Pont De Nemours And Company Methods for forming an undercut region and electronic devices incorporating the same
US7190026B2 (en) 2004-08-23 2007-03-13 Enpirion, Inc. Integrated circuit employable with a power converter
WO2006025481A1 (en) 2004-09-03 2006-03-09 Japan Science And Technology Agency Sensor unit and reaction field cell unit and analyzer
DE102004044299A1 (en) 2004-09-10 2006-03-30 Forschungszentrum Jülich GmbH Apparatus and method for detecting charged macromolecules
US7635423B2 (en) * 2004-09-30 2009-12-22 E. I. Du Pont De Nemours And Company Redox potential mediated, heterogeneous, carbon nanotube biosensing
US7609303B1 (en) 2004-10-12 2009-10-27 Melexis Tessenderlo Nv Low noise active pixel image sensor using a modified reset value
JP2006138846A (en) 2004-10-14 2006-06-01 Toshiba Corp Nucleic acid detecting sensor, nucleic acid detecting chip, and nucleic acid detecting device
US7381936B2 (en) 2004-10-29 2008-06-03 Ess Technology, Inc. Self-calibrating anti-blooming circuit for CMOS image sensor having a spillover protection performance in response to a spillover condition
US8340914B2 (en) 2004-11-08 2012-12-25 Gatewood Joe M Methods and systems for compressing and comparing genomic data
JP2008521011A (en) 2004-11-18 2008-06-19 モーガン・リサーチ・コーポレーション Small Fourier transform spectrometer
US20060205061A1 (en) 2004-11-24 2006-09-14 California Institute Of Technology Biosensors based upon actuated desorption
JP4637914B2 (en) 2004-11-26 2011-02-23 ミクロナス ゲーエムベーハー Electrical components
JP4678676B2 (en) 2004-12-10 2011-04-27 株式会社堀場製作所 Method or apparatus for measuring physical or chemical phenomena
US7499513B1 (en) 2004-12-23 2009-03-03 Xilinx, Inc. Method and apparatus for providing frequency synthesis and phase alignment in an integrated circuit
KR100623177B1 (en) 2005-01-25 2006-09-13 삼성전자주식회사 Dielectric structure having a high dielectric constant, method of forming the dielectric structure, non-volatile semiconductor memory device including the dielectric structure, and method of manufacturing the non-volatile semiconductor memory device
AU2006211150A1 (en) 2005-01-31 2006-08-10 Pacific Biosciences Of California, Inc. Use of reversible extension terminator in nucleic acid sequencing
US20060199493A1 (en) 2005-02-04 2006-09-07 Hartmann Richard Jr Vent assembly
JP2008529631A (en) 2005-02-11 2008-08-07 ザ ユニバーシティー コート オブ ザ ユニバーシティー オブ グラスゴー Inspection device, inspection apparatus, inspection system, and driving method thereof
US20060182664A1 (en) 2005-02-14 2006-08-17 Peck Bill J Flow cell devices, systems and methods of using the same
JP4171820B2 (en) 2005-03-11 2008-10-29 国立大学法人豊橋技術科学大学 Cumulative chemical / physical phenomenon detector
JP2006284225A (en) 2005-03-31 2006-10-19 Horiba Ltd Potential measuring method and measuring instrument
GB0509275D0 (en) 2005-05-06 2005-06-15 Univ Cranfield Synthetic receptor
US20060269927A1 (en) 2005-05-25 2006-11-30 Lieber Charles M Nanoscale sensors
DE102005027245A1 (en) 2005-06-13 2006-12-21 Siemens Ag CMOS (complementary metal oxide semiconductor) circuit arrangement has operating circuit region with decoder to address at least one of sensor and actuator elements, and evaluation and driver circuits for sensor and actuator elements
CN1881457A (en) 2005-06-14 2006-12-20 松下电器产业株式会社 Method of controlling an actuator, and disk apparatus using the same method
CN101466847B (en) 2005-06-15 2014-02-19 考利达基因组股份有限公司 Single molecule arrays for genetic and chemical analysis
US9169510B2 (en) 2005-06-21 2015-10-27 The Trustees Of Columbia University In The City Of New York Pyrosequencing methods and related compositions
TW200701588A (en) 2005-06-29 2007-01-01 Leadtrend Tech Corp Dual loop voltage regulation circuit of power supply chip
US7890891B2 (en) 2005-07-11 2011-02-15 Peregrine Semiconductor Corporation Method and apparatus improving gate oxide reliability by controlling accumulated charge
JP2007035726A (en) 2005-07-22 2007-02-08 Rohm Co Ltd Semiconductor device, module, and electronic apparatus
US8129725B2 (en) 2005-08-08 2012-03-06 Microgan Gmbh Semiconductor sensor
US7365597B2 (en) 2005-08-19 2008-04-29 Micron Technology, Inc. Switched capacitor amplifier with higher gain and improved closed-loop gain accuracy
SG130066A1 (en) 2005-08-26 2007-03-20 Micron Technology Inc Microelectronic device packages, stacked microelectronic device packages, and methods for manufacturing microelectronic devices
JP4353958B2 (en) 2005-09-15 2009-10-28 株式会社日立製作所 DNA measuring apparatus and DNA measuring method
US8075851B2 (en) 2005-09-29 2011-12-13 Siemens Medical Solutions Usa, Inc. Microfluidic chip capable of synthesizing radioactively labeled molecules on a scale suitable for human imaging with positron emission tomography
US7466258B1 (en) 2005-10-07 2008-12-16 Cornell Research Foundation, Inc. Asynchronous analog-to-digital converter and method
US7794584B2 (en) 2005-10-12 2010-09-14 The Research Foundation Of State University Of New York pH-change sensor and method
US7335526B2 (en) 2005-10-31 2008-02-26 Hewlett-Packard Development Company, L.P. Sensing system
US20070096164A1 (en) * 2005-10-31 2007-05-03 Peters Kevin F Sensing system
TWI295729B (en) 2005-11-01 2008-04-11 Univ Nat Yunlin Sci & Tech Preparation of a ph sensor, the prepared ph sensor, systems comprising the same, and measurement using the systems
US7239188B1 (en) 2005-11-01 2007-07-03 Integrated Device Technology, Inc. Locked-loop integrated circuits having speed tracking circuits therein
US7538827B2 (en) 2005-11-17 2009-05-26 Chunghwa Picture Tubes, Ltd. Pixel structure
US20080178692A1 (en) 2007-01-29 2008-07-31 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Fluidic methods
US7566913B2 (en) 2005-12-02 2009-07-28 Nitronex Corporation Gallium nitride material devices including conductive regions and methods associated with the same
GB2436619B (en) * 2005-12-19 2010-10-06 Toumaz Technology Ltd Sensor circuits
KR100718144B1 (en) 2006-01-09 2007-05-14 삼성전자주식회사 Fet based sensor for detecting ionic material, device for detecting ionic material comprising the same, and method for detecting ionic material using the fet based sensor
JP2007243003A (en) 2006-03-10 2007-09-20 Oki Electric Ind Co Ltd Method of manufacturing semiconductor device
WO2007109228A1 (en) 2006-03-17 2007-09-27 The Government Of The United States Of America, As Represented By The Secretary, Department Of Health And Human Services Apparatus for microarray binding sensors having biological probe materials using carbon nanotube transistors
US20070233477A1 (en) 2006-03-30 2007-10-04 Infima Ltd. Lossless Data Compression Using Adaptive Context Modeling
US7923240B2 (en) 2006-03-31 2011-04-12 Intel Corporation Photo-activated field effect transistor for bioanalyte detection
KR100723426B1 (en) * 2006-04-26 2007-05-30 삼성전자주식회사 Field effect transistor for detecting ionic materials and method of detecting ionic materials using the same
WO2007133710A2 (en) 2006-05-11 2007-11-22 Raindance Technologies, Inc. Microfluidic devices and methods of use thereof
WO2007135161A1 (en) 2006-05-23 2007-11-29 Thomson Licensing Image sensor circuit
WO2007138937A1 (en) 2006-05-26 2007-12-06 Semiconductor Energy Laboratory Co., Ltd. Semiconductor device and manufacturing method thereof
JP4211805B2 (en) 2006-06-01 2009-01-21 エプソンイメージングデバイス株式会社 Electro-optical device and electronic apparatus
JP4404074B2 (en) 2006-06-30 2010-01-27 ソニー株式会社 Solid-state imaging device, data transmission method, and imaging device
US8129978B2 (en) 2006-07-13 2012-03-06 National University Corporation Nagoya University Material detector
US7960776B2 (en) 2006-09-27 2011-06-14 Cornell Research Foundation, Inc. Transistor with floating gate and electret
JP2008091556A (en) 2006-09-29 2008-04-17 Toshiba Corp Semiconductor device
US20080085219A1 (en) 2006-10-05 2008-04-10 Beebe David J Microfluidic platform and method
US8231831B2 (en) * 2006-10-06 2012-07-31 Sharp Laboratories Of America, Inc. Micro-pixelated fluid-assay structure
DE102006052863B4 (en) 2006-11-09 2018-03-01 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Protective structure for semiconductor sensors and their use
US20090111706A1 (en) 2006-11-09 2009-04-30 Complete Genomics, Inc. Selection of dna adaptor orientation by amplification
US20080136933A1 (en) 2006-12-11 2008-06-12 Digital Imaging Systems Gmbh Apparatus for controlling operation of a multiple photosensor pixel image sensor
US8349167B2 (en) 2006-12-14 2013-01-08 Life Technologies Corporation Methods and apparatus for detecting molecular interactions using FET arrays
US7486145B2 (en) 2007-01-10 2009-02-03 International Business Machines Corporation Circuits and methods for implementing sub-integer-N frequency dividers using phase rotators
WO2008089282A2 (en) 2007-01-16 2008-07-24 Silver James H Sensors for detecting subtances indicative of stroke, ischemia, infection or inflammation
JP4325684B2 (en) 2007-02-20 2009-09-02 株式会社デンソー Sensor control apparatus and applied voltage characteristic adjusting method
US8031809B2 (en) 2007-02-28 2011-10-04 Seiko Epson Corporation Template pulse generating circuit, communication device, and communication method
JP2008215974A (en) 2007-03-02 2008-09-18 Citizen Holdings Co Ltd Field effect transistor type ion sensor
ATE479780T1 (en) 2007-03-02 2010-09-15 Dna Electronics Ltd QPCR USING AN ION SENSITIVE FIELD EFFECT TRANSISTOR FOR PH MEASUREMENT
EP1975246A1 (en) 2007-03-29 2008-10-01 Micronas Holding GmbH Label free sequencing on a solid surface using a field effect transistor
US20080302672A1 (en) 2007-06-05 2008-12-11 General Electric Company Systems and methods for sensing
JP2010533840A (en) 2007-07-13 2010-10-28 ザ ボード オブ トラスティーズ オブ ザ リランド スタンフォード ジュニア ユニヴァーシティ Methods and apparatus using electric fields for improved biological assays
US20100176463A1 (en) 2007-07-19 2010-07-15 Renesas Technology Corp. Semiconductor device and manufacturing method of the same
WO2009014155A1 (en) 2007-07-25 2009-01-29 Semiconductor Energy Laboratory Co., Ltd. Photoelectric conversion device and electronic device having the same
EP2173880A2 (en) 2007-07-27 2010-04-14 Wyeth a Corporation of the State of Delaware Vectors and methods for cloning gene clusters or portions thereof
US7609093B2 (en) 2007-08-03 2009-10-27 Tower Semiconductor Ltd. Comparator with low supply current spike and input offset cancellation
EP2201021A4 (en) 2007-08-29 2012-01-25 Applied Biosystems Llc Alternative nucleic acid sequencing methods
WO2009041917A1 (en) 2007-09-28 2009-04-02 Agency For Science, Technology And Research Method of electrically detecting a nucleic acid molecule
US7936042B2 (en) 2007-11-13 2011-05-03 International Business Machines Corporation Field effect transistor containing a wide band gap semiconductor material in a drain
KR100940415B1 (en) 2007-12-03 2010-02-02 주식회사 동부하이텍 On resistance test method for back-side-drain wafer
US8124936B1 (en) 2007-12-13 2012-02-28 The United States Of America As Represented By The Secretary Of The Army Stand-off chemical detector
US20100273166A1 (en) 2007-12-13 2010-10-28 Nxp B.V. biosensor device and method of sequencing biological particles
JP5273742B2 (en) 2007-12-20 2013-08-28 国立大学法人豊橋技術科学大学 Compound detector
US20090194416A1 (en) 2008-01-31 2009-08-06 Chung Yuan Christian University Potentiometric biosensor for detection of creatinine and forming method thereof
DE102008012899A1 (en) 2008-03-06 2009-09-10 Robert Bosch Gmbh Method for operating a gas sensor
US8067731B2 (en) 2008-03-08 2011-11-29 Scott Technologies, Inc. Chemical detection method and system
US7885490B2 (en) 2008-03-10 2011-02-08 Octrolix Bv Optical chemical detector and method
US7667501B2 (en) 2008-03-19 2010-02-23 Texas Instruments Incorporated Correlated double sampling technique
JP5259219B2 (en) 2008-03-19 2013-08-07 株式会社三社電機製作所 Power supply
US20090273386A1 (en) 2008-05-01 2009-11-05 Custom One Design, Inc Apparatus for current-to-voltage integration for current-to-digital converter
TWI377342B (en) 2008-05-08 2012-11-21 Univ Nat Yunlin Sci & Tech Method for forming an extended gate field effect transistor (egfet) based sensor and the sensor formed thereby
US7821806B2 (en) 2008-06-18 2010-10-26 Nscore Inc. Nonvolatile semiconductor memory circuit utilizing a MIS transistor as a memory cell
CN102203282B (en) 2008-06-25 2014-04-30 生命技术公司 Methods and apparatus for measuring analytes using large scale FET arrays
GB2461127B (en) 2008-06-25 2010-07-14 Ion Torrent Systems Inc Methods and apparatus for measuring analytes using large scale FET arrays
WO2009158006A2 (en) 2008-06-26 2009-12-30 Ion Torrent Systems Incorporated Methods and apparatus for detecting molecular interactions using fet arrays
RU2011104719A (en) 2008-07-10 2012-08-20 Джей-Ойл Миллз, Инк. (Jp) TASTE IMPROVING AGENT FOR FOOD AND BEVERAGES
US7893718B2 (en) 2008-08-13 2011-02-22 Samsung Electronics Co., Ltd. High-speed multiplexer and semiconductor device including the same
JP5260193B2 (en) 2008-09-03 2013-08-14 ルネサスエレクトロニクス株式会社 Semiconductor integrated circuit and switching noise leveling method thereof
KR101026468B1 (en) 2008-09-10 2011-04-01 한국전자통신연구원 Apparatus for detecting biomolecules and detecting method the same
CN101676714A (en) 2008-09-16 2010-03-24 中研应用感测科技股份有限公司 integrated ion sensor
WO2010037085A1 (en) 2008-09-29 2010-04-01 The Board Of Trustees Of The University Of Illinois Dna sequencing and amplification systems using nanoscale field effect sensor arrays
US20100137143A1 (en) 2008-10-22 2010-06-03 Ion Torrent Systems Incorporated Methods and apparatus for measuring analytes
US8546128B2 (en) 2008-10-22 2013-10-01 Life Technologies Corporation Fluidics system for sequential delivery of reagents
WO2010047804A1 (en) 2008-10-22 2010-04-29 Ion Torrent Systems Incorporated Integrated sensor arrays for biological and chemical analysis
US20100301398A1 (en) 2009-05-29 2010-12-02 Ion Torrent Systems Incorporated Methods and apparatus for measuring analytes
US8248356B2 (en) 2008-10-24 2012-08-21 Au Optronics Corp. Driving circuit for detecting line short defects
US8634817B2 (en) 2008-10-28 2014-01-21 Qualcomm Incorporated Location information for control of mode/technology
US7898277B2 (en) 2008-12-24 2011-03-01 Agere Systems Inc. Hot-electronic injection testing of transistors on a wafer
US8101479B2 (en) 2009-03-27 2012-01-24 National Semiconductor Corporation Fabrication of asymmetric field-effect transistors using L-shaped spacers
US9334531B2 (en) 2010-12-17 2016-05-10 Life Technologies Corporation Nucleic acid amplification
US9309557B2 (en) 2010-12-17 2016-04-12 Life Technologies Corporation Nucleic acid amplification
US20120261274A1 (en) 2009-05-29 2012-10-18 Life Technologies Corporation Methods and apparatus for measuring analytes
US8776573B2 (en) 2009-05-29 2014-07-15 Life Technologies Corporation Methods and apparatus for measuring analytes
US8673627B2 (en) 2009-05-29 2014-03-18 Life Technologies Corporation Apparatus and methods for performing electrochemical reactions
AT508322B1 (en) 2009-06-05 2012-04-15 Boehler Schmiedetechnik Gmbh & Co Kg METHOD FOR THE HOT FORMING OF A WORKPIECE
US20110037121A1 (en) 2009-08-16 2011-02-17 Tung-Hsing Lee Input/output electrostatic discharge device with reduced junction breakdown voltage
JP2011041205A (en) 2009-08-18 2011-02-24 Panasonic Corp Voltage generation circuit, digital/analog converter, lamp wave generation circuit, analog/digital converter, image sensor system and voltage generation method
US8860442B2 (en) 2009-09-11 2014-10-14 Agency For Science, Technology And Research Method of determining a sensitivity of a biosensor arrangement, and biosensor sensitivity determining system
US9018684B2 (en) 2009-11-23 2015-04-28 California Institute Of Technology Chemical sensing and/or measuring devices and methods
US8545248B2 (en) 2010-01-07 2013-10-01 Life Technologies Corporation System to control fluid flow based on a leak detected by a sensor
TWI422818B (en) 2010-01-11 2014-01-11 Nat Chip Implementation Ct Nat Applied Res Lab Hydrogen ion sensitive field effect transistor and manufacturing method thereof
US9088208B2 (en) 2010-01-27 2015-07-21 Intersil Americas LLC System and method for high precision current sensing
WO2011106629A2 (en) 2010-02-26 2011-09-01 Life Technologies Corporation Modified proteins and methods of making and using same
US8878257B2 (en) 2010-06-04 2014-11-04 Freescale Semiconductor, Inc. Methods and apparatus for an ISFET
CN109449171A (en) 2010-06-30 2019-03-08 生命科技公司 For detecting and measuring the transistor circuit of chemical reaction and compound
EP2588850B1 (en) 2010-06-30 2016-12-28 Life Technologies Corporation Method for dry testing isfet arrays
WO2012003363A1 (en) 2010-06-30 2012-01-05 Life Technologies Corporation Ion-sensing charge-accumulation circuits and methods
JP5876044B2 (en) 2010-07-03 2016-03-02 ライフ テクノロジーズ コーポレーション Chemically sensitive sensor with lightly doped drain
US8227877B2 (en) 2010-07-14 2012-07-24 Macronix International Co., Ltd. Semiconductor bio-sensors and methods of manufacturing the same
US8383896B2 (en) 2010-07-28 2013-02-26 Monsanto Technology Llc Soybean variety A1023758
EP2606343A4 (en) 2010-08-18 2017-08-16 Life Technologies Corporation Chemical coating of microwell for electrochemical detection device
US8453494B2 (en) 2010-09-13 2013-06-04 National Semiconductor Corporation Gas detector that utilizes an electric field to assist in the collection and removal of gas molecules
EP2617061B1 (en) 2010-09-15 2021-06-30 Life Technologies Corporation Methods and apparatus for measuring analytes
TWI584650B (en) 2010-09-24 2017-05-21 生命技術公司 Matched pair transistor circuits
GB201017023D0 (en) 2010-10-08 2010-11-24 Dna Electronics Ltd ISFET switch
JP5735268B2 (en) 2010-12-20 2015-06-17 サムソン エレクトロ−メカニックス カンパニーリミテッド. High frequency semiconductor switch
WO2012092515A2 (en) 2010-12-30 2012-07-05 Life Technologies Corporation Methods, systems, and computer readable media for nucleic acid sequencing
JP5613605B2 (en) 2011-03-28 2014-10-29 ルネサスエレクトロニクス株式会社 Clock generation circuit, processor system using the same, and clock frequency control method
WO2012152308A1 (en) 2011-05-06 2012-11-15 X-Fab Semiconductor Foundries Ag Ion sensitive field effect transistor
US9518953B2 (en) 2011-09-07 2016-12-13 Technion Research And Development Foundation Ltd. Ion sensitive detector
WO2013049504A1 (en) 2011-09-30 2013-04-04 Stc.Unm Dna sample preparation and sequencing
US9459234B2 (en) 2011-10-31 2016-10-04 Taiwan Semiconductor Manufacturing Company, Ltd., (“TSMC”) CMOS compatible BioFET
US8547151B2 (en) 2011-11-30 2013-10-01 Taiwan Semiconductor Manufacturing Company, Ltd. Phase-locked loops that share a loop filter
AT12462U3 (en) 2012-01-09 2013-05-15 Plansee Se X-RAY STREAM WITH AT LEAST PARTICULARLY RADIAL LAYERED GRINDING STRUCTURE
US8821798B2 (en) 2012-01-19 2014-09-02 Life Technologies Corporation Titanium nitride as sensing layer for microwell structure
US8747748B2 (en) 2012-01-19 2014-06-10 Life Technologies Corporation Chemical sensor with conductive cup-shaped sensor surface
US8847637B1 (en) 2012-05-24 2014-09-30 Massachusetts Institute Of Technology Time-interleaved multi-modulus frequency divider
US8786331B2 (en) 2012-05-29 2014-07-22 Life Technologies Corporation System for reducing noise in a chemical sensor array
EP2677307B1 (en) 2012-06-21 2016-05-11 Nxp B.V. Integrated circuit with sensors and manufacturing method
WO2014077783A1 (en) 2012-11-15 2014-05-22 Nanyang Technological University Image capture device and image capture system
US8728844B1 (en) 2012-12-05 2014-05-20 Taiwan Semiconductor Manufacturing Company, Ltd. Backside CMOS compatible bioFET with no plasma induced damage
US8962366B2 (en) 2013-01-28 2015-02-24 Life Technologies Corporation Self-aligned well structures for low-noise chemical sensors
US8841217B1 (en) 2013-03-13 2014-09-23 Life Technologies Corporation Chemical sensor with protruded sensor surface
US8963216B2 (en) 2013-03-13 2015-02-24 Life Technologies Corporation Chemical sensor with sidewall spacer sensor surface
US9389199B2 (en) 2013-03-14 2016-07-12 Taiwan Semiconductor Manufacturing Company, Ltd. Backside sensing bioFET with enhanced performance
US9228974B2 (en) 2013-04-10 2016-01-05 Taiwan Semiconductor Manufacturing Company, Ltd. Biosensing well array by self-alignment and selective etching
US20140367748A1 (en) 2013-06-14 2014-12-18 International Business Machines Corporation EXTENDED GATE SENSOR FOR pH SENSING
US9023674B2 (en) 2013-09-20 2015-05-05 Taiwan Semiconductor Manufacturing Company, Ltd. Biosensing well array with protective layer
US20150097214A1 (en) 2013-10-09 2015-04-09 Taiwan Semiconductor Manufacturing Company Limited Structures, apparatuses and methods for fabricating sensors in multi-layer structures
US9488615B2 (en) 2014-12-17 2016-11-08 Taiwan Semiconductor Manufacturing Co., Ltd. Biosensor with a sensing surface on an interlayer dielectric

Patent Citations (97)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4863849A (en) * 1985-07-18 1989-09-05 New York Medical College Automatable process for sequencing nucleotide
US4822566A (en) * 1985-11-19 1989-04-18 The Johns Hopkins University Optimized capacitive sensor for chemical analysis and measurement
US4722830A (en) * 1986-05-05 1988-02-02 General Electric Company Automated multiple stream analysis system
US4971903A (en) * 1988-03-25 1990-11-20 Edward Hyman Pyrophosphate-based method and apparatus for sequencing nucleic acids
US4874499A (en) * 1988-05-23 1989-10-17 Massachusetts Institute Of Technology Electrochemical microsensors and method of making such sensors
US5554339A (en) * 1988-11-14 1996-09-10 I-Stat Corporation Process for the manufacture of wholly microfabricated biosensors
US5110441A (en) * 1989-12-14 1992-05-05 Monsanto Company Solid state ph sensor
US5317407A (en) * 1991-03-11 1994-05-31 General Electric Company Fixed-pattern noise correction circuitry for solid-state imager
US5466348A (en) * 1991-10-21 1995-11-14 Holm-Kennedy; James W. Methods and devices for enhanced biochemical sensing
US5846708A (en) * 1991-11-19 1998-12-08 Massachusetts Institiute Of Technology Optical and electrical methods and apparatus for molecule detection
US5284566A (en) * 1993-01-04 1994-02-08 Bacharach, Inc. Electrochemical gas sensor with wraparound reference electrode
US5593838A (en) * 1994-11-10 1997-01-14 David Sarnoff Research Center, Inc. Partitioned microelectronic device array
US5922591A (en) * 1995-06-29 1999-07-13 Affymetrix, Inc. Integrated nucleic acid diagnostic device
US5965452A (en) * 1996-07-09 1999-10-12 Nanogen, Inc. Multiplexed active biologic array
US20020131899A1 (en) * 1996-07-09 2002-09-19 Nanogen, Inc. Biologic electrode array with integrated optical detector
US6682899B2 (en) * 1996-12-12 2004-01-27 Prolume, Ltd. Apparatus and method for detecting and identifying infectious agents
US20050130188A1 (en) * 1997-03-14 2005-06-16 The Trustees Of Tufts College Methods for detecting target analytes and enzymatic reactions
US6327410B1 (en) * 1997-03-14 2001-12-04 The Trustees Of Tufts College Target analyte sensors utilizing Microspheres
US6859570B2 (en) * 1997-03-14 2005-02-22 Trustees Of Tufts College, Tufts University Target analyte sensors utilizing microspheres
US7087387B2 (en) * 1997-04-16 2006-08-08 Applera Corporation Nucleic acid archiving
US6406848B1 (en) * 1997-05-23 2002-06-18 Lynx Therapeutics, Inc. Planar arrays of microparticle-bound polynucleotides
US6806052B2 (en) * 1997-05-23 2004-10-19 Lynx Therapeutics, Inc. Planar arrays of microparticle-bound polynucleotides
US6255678B1 (en) * 1997-05-29 2001-07-03 Horiba, Ltd. Apparatus for measuring physical and chemical phenomena
US6465178B2 (en) * 1997-09-30 2002-10-15 Surmodics, Inc. Target molecule attachment to surfaces
US6511803B1 (en) * 1997-10-10 2003-01-28 President And Fellows Of Harvard College Replica amplification of nucleic acid arrays
US7090975B2 (en) * 1998-03-13 2006-08-15 Promega Corporation Pyrophosphorolysis and incorporation of nucleotide method for nucleic acid detection
US6780591B2 (en) * 1998-05-01 2004-08-24 Arizona Board Of Regents Method of determining the nucleotide sequence of oligonucleotides and DNA molecules
US20050032076A1 (en) * 1998-05-01 2005-02-10 Arizona Board Of Regents Method of determining the nucleotide sequence of oligonucleotides and dna molecules
US7037687B2 (en) * 1998-05-01 2006-05-02 Arizona Board Of Regents Method of determining the nucleotide sequence of oligonucleotides and DNA molecules
US6969488B2 (en) * 1998-05-22 2005-11-29 Solexa, Inc. System and apparatus for sequential processing of analytes
US7033754B2 (en) * 1998-06-24 2006-04-25 Illumina, Inc. Decoding of array sensors with microspheres
US7060431B2 (en) * 1998-06-24 2006-06-13 Illumina, Inc. Method of making and decoding of array sensors with microspheres
US6429027B1 (en) * 1998-12-28 2002-08-06 Illumina, Inc. Composite arrays utilizing microspheres
US6998274B2 (en) * 1998-12-28 2006-02-14 Illumina, Inc. Composite arrays utilizing microspheres
US6828100B1 (en) * 1999-01-22 2004-12-07 Biotage Ab Method of DNA sequencing
US6613513B1 (en) * 1999-02-23 2003-09-02 Caliper Technologies Corp. Sequencing by incorporation
US7105300B2 (en) * 1999-02-23 2006-09-12 Caliper Life Sciences, Inc. Sequencing by incorporation
US20030108867A1 (en) * 1999-04-20 2003-06-12 Chee Mark S Nucleic acid sequencing using microsphere arrays
US7097973B1 (en) * 1999-06-14 2006-08-29 Alpha Mos Method for monitoring molecular species within a medium
US20030148344A1 (en) * 1999-09-16 2003-08-07 Rothberg Jonathan M. Method of sequencing a nucleic acid
US20070092872A1 (en) * 1999-09-16 2007-04-26 Rothberg Jonathan M Apparatus and method for sequencing a nucleic acid
US7211390B2 (en) * 1999-09-16 2007-05-01 454 Life Sciences Corporation Method of sequencing a nucleic acid
US20020012930A1 (en) * 1999-09-16 2002-01-31 Rothberg Jonathan M. Method of sequencing a nucleic acid
US6274320B1 (en) * 1999-09-16 2001-08-14 Curagen Corporation Method of sequencing a nucleic acid
US7244559B2 (en) * 1999-09-16 2007-07-17 454 Life Sciences Corporation Method of sequencing a nucleic acid
US7264929B2 (en) * 1999-09-16 2007-09-04 454 Life Sciences Corporation Method of sequencing a nucleic acid
US7335762B2 (en) * 1999-09-16 2008-02-26 454 Life Sciences Corporation Apparatus and method for sequencing a nucleic acid
US20030186262A1 (en) * 2000-03-01 2003-10-02 Fabrice Cailloux Novel dna chips
US20080115361A1 (en) * 2000-03-02 2008-05-22 Microchips, Inc. Method for Making Reservoir-Based Sensor Device
US6413792B1 (en) * 2000-04-24 2002-07-02 Eagle Research Development, Llc Ultra-fast nucleic acid sequencing device and a method for making and using the same
US6482639B2 (en) * 2000-06-23 2002-11-19 The United States Of America As Represented By The Secretary Of The Navy Microelectronic device and method for label-free detection and quantification of biological and chemical molecules
US20020094533A1 (en) * 2000-10-10 2002-07-18 Hess Robert A. Apparatus for assay, synthesis and storage, and methods of manufacture, use, and manipulation thereof
US7223540B2 (en) * 2000-10-20 2007-05-29 The Board Of Trustees Of The Leland Stanford Junior University Transient electrical signal based methods and devices for characterizing molecular interaction and/or motion in a sample
US20080032295A1 (en) * 2001-03-09 2008-02-07 Dna Electronics Ltd. Sensing apparatus and method
US20040134798A1 (en) * 2001-03-09 2004-07-15 Christofer Toumazou Sensing apparatus and method
US20030068629A1 (en) * 2001-03-21 2003-04-10 Rothberg Jonathan M. Apparatus and method for sequencing a nucleic acid
US6499499B2 (en) * 2001-04-20 2002-12-31 Nanostream, Inc. Flow control in multi-stream microfluidic devices
US20040023253A1 (en) * 2001-06-11 2004-02-05 Sandeep Kunwar Device structure for closely spaced electrodes
US20030124599A1 (en) * 2001-11-14 2003-07-03 Shiping Chen Biochemical analysis system with combinatorial chemistry applications
US7049645B2 (en) * 2001-11-16 2006-05-23 Bio-X Inc. FET type sensor, ion density detecting method comprising this sensor, and base sequence detecting method
US20050042627A1 (en) * 2002-01-25 2005-02-24 Raj Chakrabarti Methods and compositions for polynucleotide amplification
US7276749B2 (en) * 2002-02-05 2007-10-02 E-Phocus, Inc. Image sensor with microcrystalline germanium photodiode layer
US6953958B2 (en) * 2002-03-19 2005-10-11 Cornell Research Foundation, Inc. Electronic gain cell based charge sensor
US20060121670A1 (en) * 2002-06-14 2006-06-08 James Stasiak Memory device having a semiconducting polymer film
US7595883B1 (en) * 2002-09-16 2009-09-29 The Board Of Trustees Of The Leland Stanford Junior University Biological analysis arrangement and approach therefor
US7303875B1 (en) * 2002-10-10 2007-12-04 Nanosys, Inc. Nano-chem-FET based biosensors
US7323305B2 (en) * 2003-01-29 2008-01-29 454 Life Sciences Corporation Methods of amplifying and sequencing nucleic acids
US20060040297A1 (en) * 2003-01-29 2006-02-23 Leamon John H Methods of amplifying and sequencing nucleic acids
US20050079510A1 (en) * 2003-01-29 2005-04-14 Jan Berka Bead emulsion nucleic acid amplification
US7244567B2 (en) * 2003-01-29 2007-07-17 454 Life Sciences Corporation Double ended sequencing
US20040185484A1 (en) * 2003-01-29 2004-09-23 Costa Gina L. Method for preparing single-stranded DNA libraries
US20050006234A1 (en) * 2003-02-13 2005-01-13 Arjang Hassibi Semiconductor electrochemical bio-sensor array
US7291496B2 (en) * 2003-05-22 2007-11-06 University Of Hawaii Ultrasensitive biochemical sensor
US20070087401A1 (en) * 2003-10-17 2007-04-19 Andy Neilson Analysis of metabolic activity in cells using extracellular flux rate measurements
US7317216B2 (en) * 2003-10-31 2008-01-08 University Of Hawaii Ultrasensitive biochemical sensing platform
US20050230271A1 (en) * 2004-01-12 2005-10-20 Kalle Levon Floating gate field effect transistors for chemical and/or biological sensing
US20050227264A1 (en) * 2004-01-28 2005-10-13 Nobile John R Nucleic acid amplification with continuous flow emulsion
US20070087362A1 (en) * 2004-02-27 2007-04-19 President And Fellows Of Harvard College Polony fluorescent in situ sequencing beads
US20050212016A1 (en) * 2004-03-23 2005-09-29 Fujitsu Limited On-chip integrated detector for analyzing fluids
US7264934B2 (en) * 2004-06-10 2007-09-04 Ge Healthcare Bio-Sciences Corp. Rapid parallel nucleic acid analysis
US20060024711A1 (en) * 2004-07-02 2006-02-02 Helicos Biosciences Corporation Methods for nucleic acid amplification and sequence determination
US20080265985A1 (en) * 2004-07-13 2008-10-30 Dna Electronics Ltd. Signal Processing Circuit Comprising Ion Sensitive Field Effect Transistor and Method of Monitoring a Property of a Fluid
US20080286767A1 (en) * 2004-08-27 2008-11-20 National Institute For Materials Science Method of Analyzing Dna Sequence Using Field-Effect Device, and Base Sequence Analyzer
US20070212681A1 (en) * 2004-08-30 2007-09-13 Benjamin Shapiro Cell canaries for biochemical pathogen detection
US20060093488A1 (en) * 2004-10-15 2006-05-04 Wong Teck N Method and apparatus for controlling multi-fluid flow in a micro channel
US20060105373A1 (en) * 2004-11-12 2006-05-18 The Board Of Trustees Of The Leland Stanford Junior University Charge perturbation detection system for DNA and other molecules
US20060199193A1 (en) * 2005-03-04 2006-09-07 Tae-Woong Koo Sensor arrays and nucleic acid sequencing applications
US20060219558A1 (en) * 2005-04-05 2006-10-05 Hafeman Dean G Improved Methods and Devices for Concentration and Fractionation of Analytes for Chemical Analysis including Matrix-Assisted Laser Desorption/Ionization (MALDI) Mass Spectrometry (MS)
US20060228721A1 (en) * 2005-04-12 2006-10-12 Leamon John H Methods for determining sequence variants using ultra-deep sequencing
US20060246497A1 (en) * 2005-04-27 2006-11-02 Jung-Tang Huang Ultra-rapid DNA sequencing method with nano-transistors array based devices
US20070117099A1 (en) * 2005-11-18 2007-05-24 Mei Technologies, Inc. Process and apparatus for combinatorial synthesis
US20080230386A1 (en) * 2006-04-18 2008-09-25 Vijay Srinivasan Sample Processing Droplet Actuator, System and Method
US20080121946A1 (en) * 2006-08-31 2008-05-29 Youn Doo Hyeb Method of forming sensor for detecting gases and biochemical materials, integrated circuit having the sensor, and method of manufacturing the integrated circuit
US20090026082A1 (en) * 2006-12-14 2009-01-29 Ion Torrent Systems Incorporated Methods and apparatus for measuring analytes using large scale FET arrays
US20090127589A1 (en) * 2006-12-14 2009-05-21 Ion Torrent Systems Incorporated Methods and apparatus for measuring analytes using large scale FET arrays
US20080145910A1 (en) * 2006-12-19 2008-06-19 Sigma Aldrich Company Stabilized compositions of thermostable dna polymerase and anionic or zwitterionic detergent
US20080166727A1 (en) * 2006-12-20 2008-07-10 The Board Of Trustees Of The Leland Stanford Junior University Heat and pH Measurement for Sequencing of DNA

Cited By (1717)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110177520A1 (en) * 1999-10-06 2011-07-21 Daniel Henry Densham Dna sequencing method
US11187702B2 (en) 2003-03-14 2021-11-30 Bio-Rad Laboratories, Inc. Enzyme quantification
US9448172B2 (en) 2003-03-31 2016-09-20 Medical Research Council Selection by compartmentalised screening
US9857303B2 (en) 2003-03-31 2018-01-02 Medical Research Council Selection by compartmentalised screening
US10052605B2 (en) 2003-03-31 2018-08-21 Medical Research Council Method of synthesis and testing of combinatorial libraries using microcapsules
US9925504B2 (en) 2004-03-31 2018-03-27 President And Fellows Of Harvard College Compartmentalised combinatorial chemistry by microfluidic control
US11821109B2 (en) 2004-03-31 2023-11-21 President And Fellows Of Harvard College Compartmentalised combinatorial chemistry by microfluidic control
US9839890B2 (en) 2004-03-31 2017-12-12 National Science Foundation Compartmentalised combinatorial chemistry by microfluidic control
US10718014B2 (en) 2004-05-28 2020-07-21 Takara Bio Usa, Inc. Thermo-controllable high-density chips for multiplex analyses
US9752185B2 (en) 2004-09-15 2017-09-05 Integenx Inc. Microfluidic devices
US9186643B2 (en) 2004-10-08 2015-11-17 Medical Research Council In vitro evolution in microfluidic systems
US8871444B2 (en) 2004-10-08 2014-10-28 Medical Research Council In vitro evolution in microfluidic systems
US9029083B2 (en) 2004-10-08 2015-05-12 Medical Research Council Vitro evolution in microfluidic systems
US11786872B2 (en) 2004-10-08 2023-10-17 United Kingdom Research And Innovation Vitro evolution in microfluidic systems
US9498759B2 (en) 2004-10-12 2016-11-22 President And Fellows Of Harvard College Compartmentalized screening by microfluidic control
US9328344B2 (en) 2006-01-11 2016-05-03 Raindance Technologies, Inc. Microfluidic devices and methods of use in the formation and control of nanoreactors
US9410151B2 (en) 2006-01-11 2016-08-09 Raindance Technologies, Inc. Microfluidic devices and methods of use in the formation and control of nanoreactors
US9534216B2 (en) 2006-01-11 2017-01-03 Raindance Technologies, Inc. Microfluidic devices and methods of use in the formation and control of nanoreactors
US8655599B2 (en) 2006-05-03 2014-02-18 Population Diagnostics, Inc. Evaluating genetic disorders
US20110021366A1 (en) * 2006-05-03 2011-01-27 James Chinitz Evaluating genetic disorders
US10522240B2 (en) 2006-05-03 2019-12-31 Population Bio, Inc. Evaluating genetic disorders
US10210306B2 (en) 2006-05-03 2019-02-19 Population Bio, Inc. Evaluating genetic disorders
US10529441B2 (en) 2006-05-03 2020-01-07 Population Bio, Inc. Evaluating genetic disorders
US9273308B2 (en) 2006-05-11 2016-03-01 Raindance Technologies, Inc. Selection of compartmentalized screening method
US11351510B2 (en) 2006-05-11 2022-06-07 Bio-Rad Laboratories, Inc. Microfluidic devices
US9562837B2 (en) 2006-05-11 2017-02-07 Raindance Technologies, Inc. Systems for handling microfludic droplets
US12091710B2 (en) 2006-05-11 2024-09-17 Bio-Rad Laboratories, Inc. Systems and methods for handling microfluidic droplets
US9012390B2 (en) 2006-08-07 2015-04-21 Raindance Technologies, Inc. Fluorocarbon emulsion stabilizing surfactants
US9498761B2 (en) 2006-08-07 2016-11-22 Raindance Technologies, Inc. Fluorocarbon emulsion stabilizing surfactants
US8313639B2 (en) 2006-12-14 2012-11-20 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8435395B2 (en) 2006-12-14 2013-05-07 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US9023189B2 (en) 2006-12-14 2015-05-05 Life Technologies Corporation High density sensor array without wells
US10203300B2 (en) 2006-12-14 2019-02-12 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8262900B2 (en) 2006-12-14 2012-09-11 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US11732297B2 (en) * 2006-12-14 2023-08-22 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8264014B2 (en) 2006-12-14 2012-09-11 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8269261B2 (en) 2006-12-14 2012-09-18 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US20220340965A1 (en) * 2006-12-14 2022-10-27 Life Technologies Corporation Methods and Apparatus for Measuring Analytes Using Large Scale FET Arrays
US8502278B2 (en) 2006-12-14 2013-08-06 Life Technologies Corporation Chemically-sensitive sample and hold sensors
US8293082B2 (en) 2006-12-14 2012-10-23 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US11435314B2 (en) 2006-12-14 2022-09-06 Life Technologies Corporation Chemically-sensitive sensor array device
US9039888B2 (en) 2006-12-14 2015-05-26 Life Technologies Corporation Methods and apparatus for detecting molecular interactions using FET arrays
US8306757B2 (en) 2006-12-14 2012-11-06 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US10415079B2 (en) 2006-12-14 2019-09-17 Life Technologies Corporation Methods and apparatus for detecting molecular interactions using FET arrays
US10502708B2 (en) 2006-12-14 2019-12-10 Life Technologies Corporation Chemically-sensitive sensor array calibration circuitry
US8313625B2 (en) 2006-12-14 2012-11-20 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8317999B2 (en) 2006-12-14 2012-11-27 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US20090127589A1 (en) * 2006-12-14 2009-05-21 Ion Torrent Systems Incorporated Methods and apparatus for measuring analytes using large scale FET arrays
US9989489B2 (en) 2006-12-14 2018-06-05 Life Technnologies Corporation Methods for calibrating an array of chemically-sensitive sensors
US8349167B2 (en) 2006-12-14 2013-01-08 Life Technologies Corporation Methods and apparatus for detecting molecular interactions using FET arrays
US8496802B2 (en) 2006-12-14 2013-07-30 Life Technologies Corporation Methods for operating chemically-sensitive sample and hold sensors
US9134269B2 (en) 2006-12-14 2015-09-15 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8558288B2 (en) 2006-12-14 2013-10-15 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US9951382B2 (en) 2006-12-14 2018-04-24 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8540868B2 (en) 2006-12-14 2013-09-24 Life Technologies Corporation Methods and apparatus for detecting molecular interactions using FET arrays
US8530941B2 (en) 2006-12-14 2013-09-10 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8575664B2 (en) 2006-12-14 2013-11-05 Life Technologies Corporation Chemically-sensitive sensor array calibration circuitry
US8492800B2 (en) 2006-12-14 2013-07-23 Life Technologies Corporation Chemically sensitive sensors with sample and hold capacitors
US8692298B2 (en) 2006-12-14 2014-04-08 Life Technologies Corporation Chemical sensor array having multiple sensors per well
US8492799B2 (en) 2006-12-14 2013-07-23 Life Technologies Corporation Methods and apparatus for detecting molecular interactions using FET arrays
US8415716B2 (en) 2006-12-14 2013-04-09 Life Technologies Corporation Chemically sensitive sensors with feedback circuits
US8742472B2 (en) 2006-12-14 2014-06-03 Life Technologies Corporation Chemically sensitive sensors with sample and hold capacitors
US9269708B2 (en) 2006-12-14 2016-02-23 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US10816506B2 (en) 2006-12-14 2020-10-27 Life Technologies Corporation Method for measuring analytes using large scale chemfet arrays
US8685230B2 (en) 2006-12-14 2014-04-01 Life Technologies Corporation Methods and apparatus for high-speed operation of a chemically-sensitive sensor array
US8535513B2 (en) 2006-12-14 2013-09-17 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8426898B2 (en) 2006-12-14 2013-04-23 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8426899B2 (en) 2006-12-14 2013-04-23 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8764969B2 (en) 2006-12-14 2014-07-01 Life Technologies Corporation Methods for operating chemically sensitive sensors with sample and hold capacitors
US8658017B2 (en) 2006-12-14 2014-02-25 Life Technologies Corporation Methods for operating an array of chemically-sensitive sensors
US8540866B2 (en) 2006-12-14 2013-09-24 Life Technologies Corporation Methods and apparatus for detecting molecular interactions using FET arrays
US12066399B2 (en) 2006-12-14 2024-08-20 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8519448B2 (en) 2006-12-14 2013-08-27 Life Technologies Corporation Chemically-sensitive array with active and reference sensors
US8540865B2 (en) 2006-12-14 2013-09-24 Life Technologies Corporation Methods and apparatus for detecting molecular interactions using FET arrays
US10633699B2 (en) 2006-12-14 2020-04-28 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US9404920B2 (en) 2006-12-14 2016-08-02 Life Technologies Corporation Methods and apparatus for detecting molecular interactions using FET arrays
US8441044B2 (en) 2006-12-14 2013-05-14 Life Technologies Corporation Methods for manufacturing low noise chemically-sensitive field effect transistors
US8540867B2 (en) 2006-12-14 2013-09-24 Life Technologies Corporation Methods and apparatus for detecting molecular interactions using FET arrays
US8445945B2 (en) 2006-12-14 2013-05-21 Life Technologies Corporation Low noise chemically-sensitive field effect transistors
US8450781B2 (en) 2006-12-14 2013-05-28 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8766328B2 (en) 2006-12-14 2014-07-01 Life Technologies Corporation Chemically-sensitive sample and hold sensors
US7948015B2 (en) 2006-12-14 2011-05-24 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8890216B2 (en) 2006-12-14 2014-11-18 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8772046B2 (en) 2007-02-06 2014-07-08 Brandeis University Manipulation of fluids and reactions in microfluidic systems
US10603662B2 (en) 2007-02-06 2020-03-31 Brandeis University Manipulation of fluids and reactions in microfluidic systems
US9440232B2 (en) 2007-02-06 2016-09-13 Raindance Technologies, Inc. Manipulation of fluids and reactions in microfluidic systems
US11819849B2 (en) 2007-02-06 2023-11-21 Brandeis University Manipulation of fluids and reactions in microfluidic systems
US9017623B2 (en) 2007-02-06 2015-04-28 Raindance Technologies, Inc. Manipulation of fluids and reactions in microfluidic systems
US10357772B2 (en) 2007-04-19 2019-07-23 President And Fellows Of Harvard College Manipulation of fluids, fluid components and reactions in microfluidic systems
US10960397B2 (en) 2007-04-19 2021-03-30 President And Fellows Of Harvard College Manipulation of fluids, fluid components and reactions in microfluidic systems
US11618024B2 (en) 2007-04-19 2023-04-04 President And Fellows Of Harvard College Manipulation of fluids, fluid components and reactions in microfluidic systems
US9068699B2 (en) 2007-04-19 2015-06-30 Brandeis University Manipulation of fluids, fluid components and reactions in microfluidic systems
US10675626B2 (en) 2007-04-19 2020-06-09 President And Fellows Of Harvard College Manipulation of fluids, fluid components and reactions in microfluidic systems
US8592221B2 (en) 2007-04-19 2013-11-26 Brandeis University Manipulation of fluids, fluid components and reactions in microfluidic systems
US11224876B2 (en) 2007-04-19 2022-01-18 Brandeis University Manipulation of fluids, fluid components and reactions in microfluidic systems
US11339430B2 (en) 2007-07-10 2022-05-24 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8524057B2 (en) 2008-06-25 2013-09-03 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US9194000B2 (en) 2008-06-25 2015-11-24 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US8470164B2 (en) 2008-06-25 2013-06-25 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US12038438B2 (en) 2008-07-18 2024-07-16 Bio-Rad Laboratories, Inc. Enzyme quantification
US11596908B2 (en) 2008-07-18 2023-03-07 Bio-Rad Laboratories, Inc. Droplet libraries
US11511242B2 (en) 2008-07-18 2022-11-29 Bio-Rad Laboratories, Inc. Droplet libraries
US11534727B2 (en) 2008-07-18 2022-12-27 Bio-Rad Laboratories, Inc. Droplet libraries
US10533998B2 (en) 2008-07-18 2020-01-14 Bio-Rad Laboratories, Inc. Enzyme quantification
US12018336B2 (en) 2008-09-05 2024-06-25 Aqtual, Inc. Methods for sequencing samples
US11965211B2 (en) 2008-09-05 2024-04-23 Aqtual, Inc. Methods for sequencing samples
US10577601B2 (en) 2008-09-12 2020-03-03 University Of Washington Error detection in sequence tag directed subassemblies of short sequencing reads
US11505795B2 (en) 2008-09-12 2022-11-22 University Of Washington Error detection in sequence tag directed sequencing reads
US8945912B2 (en) 2008-09-29 2015-02-03 The Board Of Trustees Of The University Of Illinois DNA sequencing and amplification systems using nanoscale field effect sensor arrays
US11040344B2 (en) 2008-10-22 2021-06-22 Life Technologies Corporation Fluidics system for sequential delivery of reagents
US8546128B2 (en) 2008-10-22 2013-10-01 Life Technologies Corporation Fluidics system for sequential delivery of reagents
US20130210128A1 (en) * 2008-10-22 2013-08-15 Life Technologies Corporation Methods and apparatus for measuring analytes
US11874250B2 (en) 2008-10-22 2024-01-16 Life Technologies Corporation Integrated sensor arrays for biological and chemical analysis
US9964515B2 (en) 2008-10-22 2018-05-08 Life Technologies Corporation Integrated sensor arrays for biological and chemical analysis
US11448613B2 (en) 2008-10-22 2022-09-20 Life Technologies Corporation ChemFET sensor array including overlying array of wells
US9149803B2 (en) 2008-10-22 2015-10-06 Life Technologies Corporation Fluidics system for sequential delivery of reagents
US11951474B2 (en) 2008-10-22 2024-04-09 Life Technologies Corporation Fluidics systems for sequential delivery of reagents
US9550183B2 (en) 2008-10-22 2017-01-24 Life Technologies Corporation Fluidics system for sequential delivery of reagents
US9944981B2 (en) * 2008-10-22 2018-04-17 Life Technologies Corporation Methods and apparatus for measuring analytes
US11137369B2 (en) 2008-10-22 2021-10-05 Life Technologies Corporation Integrated sensor arrays for biological and chemical analysis
US8936763B2 (en) 2008-10-22 2015-01-20 Life Technologies Corporation Integrated sensor arrays for biological and chemical analysis
US10478816B2 (en) 2008-10-22 2019-11-19 Life Technologies Corporation Fluidics system for sequential delivery of reagents
US8846378B2 (en) 2008-10-22 2014-09-30 Life Technologies Corporation Fluidics system for sequential delivery of reagents
US20100300559A1 (en) * 2008-10-22 2010-12-02 Ion Torrent Systems, Inc. Fluidics system for sequential delivery of reagents
US9416420B2 (en) 2008-11-07 2016-08-16 Adaptive Biotechnologies Corp. Monitoring health and disease status using clonotype profiles
US9347099B2 (en) 2008-11-07 2016-05-24 Adaptive Biotechnologies Corp. Single cell analysis by polymerase cycling assembly
US10760133B2 (en) 2008-11-07 2020-09-01 Adaptive Biotechnologies Corporation Monitoring health and disease status using clonotype profiles
US9394567B2 (en) 2008-11-07 2016-07-19 Adaptive Biotechnologies Corporation Detection and quantification of sample contamination in immune repertoire analysis
US9506119B2 (en) 2008-11-07 2016-11-29 Adaptive Biotechnologies Corp. Method of sequence determination using sequence tags
US9365901B2 (en) 2008-11-07 2016-06-14 Adaptive Biotechnologies Corp. Monitoring immunoglobulin heavy chain evolution in B-cell acute lymphoblastic leukemia
US10519511B2 (en) 2008-11-07 2019-12-31 Adaptive Biotechnologies Corporation Monitoring health and disease status using clonotype profiles
US10155992B2 (en) 2008-11-07 2018-12-18 Adaptive Biotechnologies Corp. Monitoring health and disease status using clonotype profiles
US10246752B2 (en) 2008-11-07 2019-04-02 Adaptive Biotechnologies Corp. Methods of monitoring conditions by sequence analysis
US9512487B2 (en) 2008-11-07 2016-12-06 Adaptive Biotechnologies Corp. Monitoring health and disease status using clonotype profiles
US9523129B2 (en) 2008-11-07 2016-12-20 Adaptive Biotechnologies Corp. Sequence analysis of complex amplicons
US10266901B2 (en) 2008-11-07 2019-04-23 Adaptive Biotechnologies Corp. Methods of monitoring conditions by sequence analysis
US9528160B2 (en) 2008-11-07 2016-12-27 Adaptive Biotechnolgies Corp. Rare clonotypes and uses thereof
US10323276B2 (en) 2009-01-15 2019-06-18 Adaptive Biotechnologies Corporation Adaptive immunity profiling and methods for generation of monoclonal antibodies
US11268887B2 (en) 2009-03-23 2022-03-08 Bio-Rad Laboratories, Inc. Manipulation of microfluidic droplets
US8528589B2 (en) 2009-03-23 2013-09-10 Raindance Technologies, Inc. Manipulation of microfluidic droplets
US20110092030A1 (en) * 2009-04-14 2011-04-21 NuPGA Corporation System comprising a semiconductor device and structure
US8427200B2 (en) 2009-04-14 2013-04-23 Monolithic 3D Inc. 3D semiconductor device
US9577642B2 (en) 2009-04-14 2017-02-21 Monolithic 3D Inc. Method to form a 3D semiconductor device
US9711407B2 (en) * 2009-04-14 2017-07-18 Monolithic 3D Inc. Method of manufacturing a three dimensional integrated circuit by transfer of a mono-crystalline layer
US8987079B2 (en) 2009-04-14 2015-03-24 Monolithic 3D Inc. Method for developing a custom device
US8754533B2 (en) 2009-04-14 2014-06-17 Monolithic 3D Inc. Monolithic three-dimensional semiconductor device and structure
US8669778B1 (en) 2009-04-14 2014-03-11 Monolithic 3D Inc. Method for design and manufacturing of a 3D semiconductor device
US9412645B1 (en) 2009-04-14 2016-08-09 Monolithic 3D Inc. Semiconductor devices and structures
US9509313B2 (en) 2009-04-14 2016-11-29 Monolithic 3D Inc. 3D semiconductor device
US11840730B1 (en) 2009-04-30 2023-12-12 Molecular Loop Biosciences, Inc. Methods and compositions for evaluating genetic markers
US12129514B2 (en) 2009-04-30 2024-10-29 Molecular Loop Biosolutions, Llc Methods and compositions for evaluating genetic markers
US11692964B2 (en) 2009-05-29 2023-07-04 Life Technologies Corporation Methods and apparatus for measuring analytes
US8776573B2 (en) 2009-05-29 2014-07-15 Life Technologies Corporation Methods and apparatus for measuring analytes
US12038405B2 (en) 2009-05-29 2024-07-16 Life Technologies Corporation Methods and apparatus for measuring analytes
US10451585B2 (en) 2009-05-29 2019-10-22 Life Technologies Corporation Methods and apparatus for measuring analytes
US10612017B2 (en) 2009-05-29 2020-04-07 Life Technologies Corporation Scaffolded nucleic acid polymer particles and methods of making and using
US8912580B2 (en) 2009-05-29 2014-12-16 Life Technologies Corporation Active chemically-sensitive sensors with in-sensor current sources
US10718733B2 (en) 2009-05-29 2020-07-21 Life Technologies Corporation Methods and apparatus for measuring analytes
US9927393B2 (en) 2009-05-29 2018-03-27 Life Technologies Corporation Methods and apparatus for measuring analytes
US8742469B2 (en) 2009-05-29 2014-06-03 Life Technologies Corporation Active chemically-sensitive sensors with correlated double sampling
US8994076B2 (en) 2009-05-29 2015-03-31 Life Technologies Corporation Chemically-sensitive field effect transistor based pixel array with protection diodes
US11768171B2 (en) 2009-05-29 2023-09-26 Life Technologies Corporation Methods and apparatus for measuring analytes
US20160194629A1 (en) * 2009-05-29 2016-07-07 Life Technologies Corporation Scaffolded nucleic acid polymer particles and methods of making and using
US8263336B2 (en) 2009-05-29 2012-09-11 Life Technologies Corporation Methods and apparatus for measuring analytes
US8698212B2 (en) 2009-05-29 2014-04-15 Life Technologies Corporation Active chemically-sensitive sensors
US8673627B2 (en) 2009-05-29 2014-03-18 Life Technologies Corporation Apparatus and methods for performing electrochemical reactions
US8822205B2 (en) 2009-05-29 2014-09-02 Life Technologies Corporation Active chemically-sensitive sensors with source follower amplifier
US8592153B1 (en) 2009-05-29 2013-11-26 Life Technologies Corporation Methods for manufacturing high capacitance microwell structures of chemically-sensitive sensors
US8592154B2 (en) 2009-05-29 2013-11-26 Life Technologies Corporation Methods and apparatus for high speed operation of a chemically-sensitive sensor array
US10809226B2 (en) 2009-05-29 2020-10-20 Life Technologies Corporation Methods and apparatus for measuring analytes
US20150168344A1 (en) * 2009-05-29 2015-06-18 Life Technologies Corporation Active chemically-sensitive sensors with in-sensor current sources
US8766327B2 (en) 2009-05-29 2014-07-01 Life Technologies Corporation Active chemically-sensitive sensors with in-sensor current sources
US8748947B2 (en) 2009-05-29 2014-06-10 Life Technologies Corporation Active chemically-sensitive sensors with reset switch
US11905511B2 (en) 2009-06-25 2024-02-20 Fred Hutchinson Cancer Center Method of measuring adaptive immunity
US9809813B2 (en) 2009-06-25 2017-11-07 Fred Hutchinson Cancer Research Center Method of measuring adaptive immunity
US11214793B2 (en) 2009-06-25 2022-01-04 Fred Hutchinson Cancer Research Center Method of measuring adaptive immunity
US10520500B2 (en) 2009-10-09 2019-12-31 Abdeslam El Harrak Labelled silica-based nanomaterial with enhanced properties and uses thereof
US8907442B2 (en) 2009-10-12 2014-12-09 Monolthic 3D Inc. System comprising a semiconductor device and structure
US10354995B2 (en) 2009-10-12 2019-07-16 Monolithic 3D Inc. Semiconductor memory device and structure
US10157909B2 (en) 2009-10-12 2018-12-18 Monolithic 3D Inc. 3D semiconductor device and structure
US10910364B2 (en) 2009-10-12 2021-02-02 Monolitaic 3D Inc. 3D semiconductor device
US11374118B2 (en) 2009-10-12 2022-06-28 Monolithic 3D Inc. Method to form a 3D integrated circuit
US10043781B2 (en) 2009-10-12 2018-08-07 Monolithic 3D Inc. 3D semiconductor device and structure
US9406670B1 (en) 2009-10-12 2016-08-02 Monolithic 3D Inc. System comprising a semiconductor device and structure
US11018133B2 (en) 2009-10-12 2021-05-25 Monolithic 3D Inc. 3D integrated circuit
US12027518B1 (en) 2009-10-12 2024-07-02 Monolithic 3D Inc. 3D semiconductor devices and structures with metal layers
US8664042B2 (en) 2009-10-12 2014-03-04 Monolithic 3D Inc. Method for fabrication of configurable systems
US11984445B2 (en) 2009-10-12 2024-05-14 Monolithic 3D Inc. 3D semiconductor devices and structures with metal layers
US10366970B2 (en) 2009-10-12 2019-07-30 Monolithic 3D Inc. 3D semiconductor device and structure
US10388863B2 (en) 2009-10-12 2019-08-20 Monolithic 3D Inc. 3D memory device and structure
US10837883B2 (en) 2009-12-23 2020-11-17 Bio-Rad Laboratories, Inc. Microfluidic systems and methods for reducing the exchange of molecules between droplets
US9366632B2 (en) 2010-02-12 2016-06-14 Raindance Technologies, Inc. Digital analyte analysis
US9228229B2 (en) 2010-02-12 2016-01-05 Raindance Technologies, Inc. Digital analyte analysis
US8535889B2 (en) 2010-02-12 2013-09-17 Raindance Technologies, Inc. Digital analyte analysis
US11390917B2 (en) 2010-02-12 2022-07-19 Bio-Rad Laboratories, Inc. Digital analyte analysis
US9074242B2 (en) 2010-02-12 2015-07-07 Raindance Technologies, Inc. Digital analyte analysis
US9399797B2 (en) 2010-02-12 2016-07-26 Raindance Technologies, Inc. Digital analyte analysis
US11254968B2 (en) 2010-02-12 2022-02-22 Bio-Rad Laboratories, Inc. Digital analyte analysis
US10351905B2 (en) 2010-02-12 2019-07-16 Bio-Rad Laboratories, Inc. Digital analyte analysis
US10808279B2 (en) 2010-02-12 2020-10-20 Bio-Rad Laboratories, Inc. Digital analyte analysis
US9564432B2 (en) 2010-02-16 2017-02-07 Monolithic 3D Inc. 3D semiconductor device and structure
US20110199116A1 (en) * 2010-02-16 2011-08-18 NuPGA Corporation Method for fabrication of a semiconductor device and structure
US8846463B1 (en) 2010-02-16 2014-09-30 Monolithic 3D Inc. Method to construct a 3D semiconductor device
US8492886B2 (en) 2010-02-16 2013-07-23 Monolithic 3D Inc 3D integrated circuit with logic
WO2011106770A2 (en) 2010-02-26 2011-09-01 Life Technologies Corporation Modified proteins and methods of making and using same
WO2011106629A2 (en) 2010-02-26 2011-09-01 Life Technologies Corporation Modified proteins and methods of making and using same
EP3040424A1 (en) 2010-02-26 2016-07-06 Life Technologies Corporation Modified proteins and methods of making and using same
US11365442B2 (en) 2010-04-05 2022-06-21 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10787701B2 (en) 2010-04-05 2020-09-29 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11733238B2 (en) 2010-04-05 2023-08-22 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11634756B2 (en) 2010-04-05 2023-04-25 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11732292B2 (en) 2010-04-05 2023-08-22 Prognosys Biosciences, Inc. Spatially encoded biological assays correlating target nucleic acid to tissue section location
US10472669B2 (en) 2010-04-05 2019-11-12 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11560587B2 (en) 2010-04-05 2023-01-24 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11549138B2 (en) 2010-04-05 2023-01-10 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10480022B2 (en) 2010-04-05 2019-11-19 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10494667B2 (en) 2010-04-05 2019-12-03 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11542543B2 (en) 2010-04-05 2023-01-03 Prognosys Biosciences, Inc. System for analyzing targets of a tissue section
US11761030B2 (en) 2010-04-05 2023-09-19 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11767550B2 (en) 2010-04-05 2023-09-26 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11519022B2 (en) 2010-04-05 2022-12-06 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11479810B1 (en) 2010-04-05 2022-10-25 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11401545B2 (en) 2010-04-05 2022-08-02 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11384386B2 (en) 2010-04-05 2022-07-12 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11371086B2 (en) 2010-04-05 2022-06-28 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11313856B2 (en) 2010-04-05 2022-04-26 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11293917B2 (en) 2010-04-05 2022-04-05 Prognosys Biosciences, Inc. Systems for analyzing target biological molecules via sample imaging and delivery of probes to substrate wells
US10612079B2 (en) 2010-04-05 2020-04-07 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11866770B2 (en) 2010-04-05 2024-01-09 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10619196B1 (en) 2010-04-05 2020-04-14 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11208684B2 (en) 2010-04-05 2021-12-28 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11156603B2 (en) 2010-04-05 2021-10-26 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10662467B2 (en) 2010-04-05 2020-05-26 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11067567B2 (en) 2010-04-05 2021-07-20 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11008607B2 (en) 2010-04-05 2021-05-18 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11001878B1 (en) 2010-04-05 2021-05-11 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10662468B2 (en) 2010-04-05 2020-05-26 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11001879B1 (en) 2010-04-05 2021-05-11 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10996219B2 (en) 2010-04-05 2021-05-04 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10983113B2 (en) 2010-04-05 2021-04-20 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10982268B2 (en) 2010-04-05 2021-04-20 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10961566B2 (en) 2010-04-05 2021-03-30 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10962532B2 (en) 2010-04-05 2021-03-30 Prognosys Biosciences, Inc. Spatially encoded biological assays
US10914730B2 (en) 2010-04-05 2021-02-09 Prognosys Biosciences, Inc. Spatially encoded biological assays
US9696302B2 (en) 2010-04-21 2017-07-04 Dnae Group Holdings Limited Methods for isolating a target analyte from a heterogeneous sample
US11073513B2 (en) 2010-04-21 2021-07-27 Dnae Group Holdings Limited Separating target analytes using alternating magnetic fields
US11448646B2 (en) 2010-04-21 2022-09-20 Dnae Group Holdings Limited Isolating a target analyte from a body fluid
US9671395B2 (en) 2010-04-21 2017-06-06 Dnae Group Holdings Limited Analyzing bacteria without culturing
US10677789B2 (en) 2010-04-21 2020-06-09 Dnae Group Holdings Limited Analyzing bacteria without culturing
US9476812B2 (en) 2010-04-21 2016-10-25 Dna Electronics, Inc. Methods for isolating a target analyte from a heterogeneous sample
US9869671B2 (en) 2010-04-21 2018-01-16 Dnae Group Holdings Limited Analyzing bacteria without culturing
US9562896B2 (en) 2010-04-21 2017-02-07 Dnae Group Holdings Limited Extracting low concentrations of bacteria from a sample
US9970931B2 (en) 2010-04-21 2018-05-15 Dnae Group Holdings Limited Methods for isolating a target analyte from a heterogenous sample
EP4219759A2 (en) 2010-05-06 2023-08-02 Adaptive Biotechnologies Corporation Monitoring health and disease status using clonotype profiles
WO2011139371A1 (en) 2010-05-06 2011-11-10 Sequenta, Inc. Monitoring health and disease status using clonotype profiles
EP3456847A1 (en) 2010-05-06 2019-03-20 Adaptive Biotechnologies Corporation Monitoring solid transplant rejection using clonotype profiles
EP3144673A1 (en) 2010-05-06 2017-03-22 Adaptive Biotechnologies Corporation Monitoring lymphoid neoplasm status using clonotype profiles
EP3290529A1 (en) 2010-06-11 2018-03-07 Life Technologies Corporation Alternative nucleotide flows in sequencing-by-synthesis methods
US10392660B2 (en) 2010-06-11 2019-08-27 Life Technologies Corporation Alternative nucleotide flows in sequencing-by-synthesis methods
US20120035062A1 (en) * 2010-06-11 2012-02-09 Life Technologies Corporation Alternative nucleotide flows in sequencing-by-synthesis methods
EP2952590A1 (en) 2010-06-11 2015-12-09 Life Technologies Corporation Alternative nucleotide flows in sequencing-by-synthesis methods
US9416413B2 (en) 2010-06-11 2016-08-16 Life Technologies Corporation Alternative nucleotide flows in sequencing-by-synthesis methods
WO2011156707A3 (en) * 2010-06-11 2012-03-29 Life Technologies Corporation Alternative nucleotide flows in sequencing-by-synthesis methods
US9605308B2 (en) 2010-06-11 2017-03-28 Life Technologies Corporation Alternative nucleotide flows in sequencing-by-synthesis methods
US8415176B2 (en) * 2010-06-30 2013-04-09 Life Technologies Corporation One-transistor pixel array
JP2013540259A (en) * 2010-06-30 2013-10-31 ライフ テクノロジーズ コーポレーション Array column integrator
US8983783B2 (en) * 2010-06-30 2015-03-17 Life Technologies Corporation Chemical detection device having multiple flow channels
CN103392233A (en) * 2010-06-30 2013-11-13 生命科技公司 Array column integrator
US20160033449A1 (en) * 2010-06-30 2016-02-04 Life Technologies Corporation Column adc
US8742471B2 (en) 2010-06-30 2014-06-03 Life Technologies Corporation Chemical sensor array with leakage compensation circuit
US9239313B2 (en) 2010-06-30 2016-01-19 Life Technologies Corporation Ion-sensing charge-accumulation circuits and methods
EP2598804A4 (en) * 2010-06-30 2014-07-09 Life Technologies Corp Array column integrator
TWI463648B (en) * 2010-06-30 2014-12-01 Life Technologies Corp Array column integrator
WO2012003380A3 (en) * 2010-06-30 2013-07-18 Life Technologies Corporation Array column integrator
US8858782B2 (en) 2010-06-30 2014-10-14 Life Technologies Corporation Ion-sensing charge-accumulation circuits and methods
US8772698B2 (en) 2010-06-30 2014-07-08 Life Technologies Corporation CCD-based multi-transistor active pixel sensor array
US10481123B2 (en) 2010-06-30 2019-11-19 Life Technologies Corporation Ion-sensing charge-accumulation circuits and methods
US8217433B1 (en) 2010-06-30 2012-07-10 Life Technologies Corporation One-transistor pixel array
US8823380B2 (en) 2010-06-30 2014-09-02 Life Technologies Corporation Capacitive charge pump
US8421437B2 (en) 2010-06-30 2013-04-16 Life Technologies Corporation Array column integrator
US8487790B2 (en) 2010-06-30 2013-07-16 Life Technologies Corporation Chemical detection circuit including a serializer circuit
US8731847B2 (en) 2010-06-30 2014-05-20 Life Technologies Corporation Array configuration and readout scheme
US8247849B2 (en) 2010-06-30 2012-08-21 Life Technologies Corporation Two-transistor pixel array
US8741680B2 (en) 2010-06-30 2014-06-03 Life Technologies Corporation Two-transistor pixel array
EP2598804A2 (en) * 2010-06-30 2013-06-05 Life Technologies Corporation Array column integrator
US10641729B2 (en) * 2010-06-30 2020-05-05 Life Technologies Corporation Column ADC
US8432150B2 (en) 2010-06-30 2013-04-30 Life Technologies Corporation Methods for operating an array column integrator
US8415177B2 (en) * 2010-06-30 2013-04-09 Life Technologies Corporation Two-transistor pixel array
EP2589084A2 (en) * 2010-06-30 2013-05-08 Life Technologies Corporation Transistor circuits for detection and measurement of chemical reactions and compounds
WO2012003368A3 (en) * 2010-06-30 2012-04-05 Life Technologies Corporation Transistor circuits for detection and measurement of chemical reactions and compounds
US8524487B2 (en) 2010-06-30 2013-09-03 Life Technologies Corporation One-transistor pixel array with cascoded column circuit
US8432149B2 (en) 2010-06-30 2013-04-30 Life Technologies Corporation Array column integrator
US20120001237A1 (en) * 2010-06-30 2012-01-05 Life Technologies Corporation Two-transistor pixel array
US20120056248A1 (en) * 2010-06-30 2012-03-08 Life Technologies Corporation One-transistor pixel array
CN106449632A (en) * 2010-06-30 2017-02-22 生命科技公司 Array column integrator
US9164070B2 (en) 2010-06-30 2015-10-20 Life Technologies Corporation Column adc
EP3964829A1 (en) * 2010-06-30 2022-03-09 Life Technologies Corporation Method to generate an output signal in an isfet-array
EP2589084A4 (en) * 2010-06-30 2014-04-09 Life Technologies Corp Transistor circuits for detection and measurement of chemical reactions and compounds
US12038406B2 (en) 2010-06-30 2024-07-16 Life Technologies Corporation Semiconductor-based chemical detection device
US8455927B2 (en) 2010-06-30 2013-06-04 Life Technologies Corporation One-transistor pixel array with cascoded column circuit
US11231451B2 (en) 2010-06-30 2022-01-25 Life Technologies Corporation Methods and apparatus for testing ISFET arrays
US11307166B2 (en) 2010-07-01 2022-04-19 Life Technologies Corporation Column ADC
US8653567B2 (en) 2010-07-03 2014-02-18 Life Technologies Corporation Chemically sensitive sensor with lightly doped drains
WO2012006222A1 (en) * 2010-07-03 2012-01-12 Life Technologies Corporation Chemically sensitive sensor with lightly doped drains
EP2589065A4 (en) * 2010-07-03 2013-08-14 Life Technologies Corp Chemically sensitive sensor with lightly doped drains
US9960253B2 (en) 2010-07-03 2018-05-01 Life Technologies Corporation Chemically sensitive sensor with lightly doped drains
JP2013533483A (en) * 2010-07-03 2013-08-22 ライフ テクノロジーズ コーポレーション Chemically sensitive sensor with lightly doped drain
EP2589065A1 (en) * 2010-07-03 2013-05-08 Life Technologies Corporation Chemically sensitive sensor with lightly doped drains
US8642416B2 (en) 2010-07-30 2014-02-04 Monolithic 3D Inc. Method of forming three dimensional integrated circuit devices using layer transfer technique
US8912052B2 (en) 2010-07-30 2014-12-16 Monolithic 3D Inc. Semiconductor device and structure
US8709880B2 (en) 2010-07-30 2014-04-29 Monolithic 3D Inc Method for fabrication of a semiconductor device and structure
US8862410B2 (en) 2010-08-02 2014-10-14 Population Diagnostics, Inc. Compositions and methods for discovery of causative mutations in genetic disorders
US11788142B2 (en) 2010-08-02 2023-10-17 Population Bio, Inc. Compositions and methods for discovery of causative mutations in genetic disorders
US10059997B2 (en) 2010-08-02 2018-08-28 Population Bio, Inc. Compositions and methods for discovery of causative mutations in genetic disorders
US20120032235A1 (en) * 2010-08-09 2012-02-09 Manoj Bikumandla Backside Stimulated Sensor with Background Current Manipulation
US8519490B2 (en) * 2010-08-09 2013-08-27 Omnivision Technologies, Inc. Backside stimulated sensor with background current manipulation
US8680630B2 (en) * 2010-08-09 2014-03-25 Omnivision Technologies, Inc. Backside stimulated sensor with background current manipulation
US8987841B2 (en) * 2010-08-09 2015-03-24 Omnivision Technologies, Inc. Backside stimulated sensor with background current manipulation
CN102375016A (en) * 2010-08-09 2012-03-14 美商豪威科技股份有限公司 Backside stimulated sensor with background current manipulation
EP2606343A4 (en) * 2010-08-18 2017-08-16 Life Technologies Corporation Chemical coating of microwell for electrochemical detection device
US10605770B2 (en) 2010-08-18 2020-03-31 Life Technologies Corporation Chemical coating of microwell for electrochemical detection device
US9404887B2 (en) 2010-08-18 2016-08-02 Life Technologies Corporation Chemical coating of microwell for electrochemical detection device
CN106198656A (en) * 2010-08-18 2016-12-07 生命科技股份有限公司 Immersion coating for the micropore of electrochemical detection device
US8647577B2 (en) 2010-08-18 2014-02-11 Life Technologies Corporation Chemical coating of microwell for electrochemical detection device
US9891190B2 (en) 2010-08-18 2018-02-13 Life Technologies Corporation Chemical coating of microwell for electrochemical detection device
WO2012024658A2 (en) 2010-08-20 2012-02-23 IntegenX, Inc. Integrated analysis system
US9731266B2 (en) 2010-08-20 2017-08-15 Integenx Inc. Linear valve arrays
US9121058B2 (en) 2010-08-20 2015-09-01 Integenx Inc. Linear valve arrays
US9309569B2 (en) 2010-08-26 2016-04-12 Intelligent Bio-Systems, Inc. Methods and compositions for sequencing nucleic acid using charge
EP2617061A4 (en) * 2010-09-15 2015-08-05 Life Technologies Corp Methods and apparatus for measuring analytes
US20140235452A1 (en) * 2010-09-15 2014-08-21 Life Technologies Corporation Methods and apparatus for measuring analytes
WO2012036679A1 (en) 2010-09-15 2012-03-22 Life Technologies Corporation Methods and apparatus for measuring analytes
US12050195B2 (en) 2010-09-15 2024-07-30 Life Technologies Corporation Methods and apparatus for measuring analytes using chemfet arrays
US9618475B2 (en) * 2010-09-15 2017-04-11 Life Technologies Corporation Methods and apparatus for measuring analytes
US9958414B2 (en) 2010-09-15 2018-05-01 Life Technologies Corporation Apparatus for measuring analytes including chemical sensor array
US9958415B2 (en) 2010-09-15 2018-05-01 Life Technologies Corporation ChemFET sensor including floating gate
US8796036B2 (en) 2010-09-24 2014-08-05 Life Technologies Corporation Method and system for delta double sampling
US8912005B1 (en) 2010-09-24 2014-12-16 Life Technologies Corporation Method and system for delta double sampling
US9309556B2 (en) * 2010-09-24 2016-04-12 The Board Of Trustees Of The Leland Stanford Junior University Direct capture, amplification and sequencing of target DNA using immobilized primers
AU2011305445B2 (en) * 2010-09-24 2017-03-16 The Board Of Trustees Of The Leland Stanford Junior University Direct capture, amplification and sequencing of target DNA using immobilized primers
TWI584650B (en) * 2010-09-24 2017-05-21 生命技術公司 Matched pair transistor circuits
US20120157322A1 (en) * 2010-09-24 2012-06-21 Samuel Myllykangas Direct Capture, Amplification and Sequencing of Target DNA Using Immobilized Primers
WO2012039812A1 (en) * 2010-09-24 2012-03-29 Life Technologies Corporation Matched pair transistor circuits
US10072283B2 (en) 2010-09-24 2018-09-11 The Board Of Trustees Of The Leland Stanford Junior University Direct capture, amplification and sequencing of target DNA using immobilized primers
EP2619564A1 (en) * 2010-09-24 2013-07-31 Life Technologies Corporation Matched pair transistor circuits
US9110015B2 (en) 2010-09-24 2015-08-18 Life Technologies Corporation Method and system for delta double sampling
US8685324B2 (en) 2010-09-24 2014-04-01 Life Technologies Corporation Matched pair transistor circuits
EP2619564A4 (en) * 2010-09-24 2013-09-04 Life Technologies Corp Matched pair transistor circuits
CN103299182A (en) * 2010-09-24 2013-09-11 生命科技公司 Matched pair transistor circuits
EP3223014A1 (en) 2010-09-24 2017-09-27 Full Spectrum Genetics, Inc. Method of analyzing binding interactions
WO2012042399A1 (en) 2010-09-30 2012-04-05 Nxp B.V. Biosensor device and method
US11635427B2 (en) 2010-09-30 2023-04-25 Bio-Rad Laboratories, Inc. Sandwich assays in droplets
WO2012045012A2 (en) 2010-09-30 2012-04-05 Raindance Technologies, Inc. Sandwich assays in droplets
EP3447155A1 (en) 2010-09-30 2019-02-27 Raindance Technologies, Inc. Sandwich assays in droplets
US8703597B1 (en) 2010-09-30 2014-04-22 Monolithic 3D Inc. Method for fabrication of a semiconductor device and structure
US9562897B2 (en) 2010-09-30 2017-02-07 Raindance Technologies, Inc. Sandwich assays in droplets
US8461035B1 (en) 2010-09-30 2013-06-11 Monolithic 3D Inc. Method for fabrication of a semiconductor device and structure
US9945807B2 (en) 2010-10-04 2018-04-17 The Board Of Trustees Of The Leland Stanford Junior University Biosensor devices, systems and methods therefor
US9399217B2 (en) 2010-10-04 2016-07-26 Genapsys, Inc. Chamber free nanoreactor system
US9150915B2 (en) 2010-10-04 2015-10-06 Genapsys, Inc. Systems and methods for automated reusable parallel biological reactions
US9533305B2 (en) 2010-10-04 2017-01-03 Genapsys, Inc. Systems and methods for automated reusable parallel biological reactions
US10100356B2 (en) 2010-10-04 2018-10-16 Genapsys, Inc. Systems and methods for automated reusable parallel biological reactions
US10472674B2 (en) 2010-10-04 2019-11-12 Genapsys, Inc. Systems and methods for automated reusable parallel biological reactions
US9187783B2 (en) 2010-10-04 2015-11-17 Genapsys, Inc. Systems and methods for automated reusable parallel biological reactions
US10539527B2 (en) 2010-10-04 2020-01-21 The Board Of Trustees Of The Leland Stanford Junior University Biosensor devices, systems and methods for detecting or analyzing a sample
US8969002B2 (en) 2010-10-04 2015-03-03 Genapsys, Inc. Methods and systems for electronic sequencing
US9419031B1 (en) 2010-10-07 2016-08-16 Monolithic 3D Inc. Semiconductor and optoelectronic devices
GB2544683B (en) * 2010-10-08 2017-09-27 Dnae Group Holdings Ltd Electrostatic discharge protection
KR101475350B1 (en) * 2010-10-08 2014-12-22 디엔에이 일렉트로닉스 엘티디 Electrostatic discharge protection for ion sensitive field effect transistor
CN103154719A (en) * 2010-10-08 2013-06-12 Dna电子有限公司 Electrostatic discharge protection for ion sensitive field effect transistor
GB2540904A (en) * 2010-10-08 2017-02-01 Dnae Group Holdings Ltd Electrostatic discharge protection
JP2013539048A (en) * 2010-10-08 2013-10-17 ディーエヌエー エレクトロニクス エルティーディー Electrostatic discharge protection for ion sensitive field effect transistors
US9209170B2 (en) * 2010-10-08 2015-12-08 Dnae Group Holdings Limited Electrostatic discharge protection
WO2012046071A1 (en) 2010-10-08 2012-04-12 Dna Electronics Ltd Electrostatic discharge protection for ion sensitive field effect transistor
GB2540904B (en) * 2010-10-08 2017-05-24 Dnae Group Holdings Ltd Electrostatic discharge protection
GB2544683A (en) * 2010-10-08 2017-05-24 Dnae Group Holdings Ltd Electrostatic discharge protection
US9431387B2 (en) * 2010-10-08 2016-08-30 Dnae Group Holdings Limited Electrostatic discharge protection
US20130188288A1 (en) * 2010-10-08 2013-07-25 Dna Electronics Limited Electrostatic discharge protection
GB2484339A (en) * 2010-10-08 2012-04-11 Dna Electronics Ltd Electrostatic discharge protection
US20160064370A1 (en) * 2010-10-08 2016-03-03 Dnae Group Holdings Limited Electrostatic discharge protection
GB2484339B (en) * 2010-10-08 2016-12-21 Dnae Group Holdings Ltd Electrostatic discharge protection
US11158674B2 (en) 2010-10-11 2021-10-26 Monolithic 3D Inc. Method to produce a 3D semiconductor device and structure
US11257867B1 (en) 2010-10-11 2022-02-22 Monolithic 3D Inc. 3D semiconductor device and structure with oxide bonds
US11600667B1 (en) 2010-10-11 2023-03-07 Monolithic 3D Inc. Method to produce 3D semiconductor devices and structures with memory
US10896931B1 (en) 2010-10-11 2021-01-19 Monolithic 3D Inc. 3D semiconductor device and structure
US8440542B2 (en) 2010-10-11 2013-05-14 Monolithic 3D Inc. Semiconductor device and structure
US10290682B2 (en) 2010-10-11 2019-05-14 Monolithic 3D Inc. 3D IC semiconductor device and structure with stacked memory
US11469271B2 (en) 2010-10-11 2022-10-11 Monolithic 3D Inc. Method to produce 3D semiconductor devices and structures with memory
US9818800B2 (en) 2010-10-11 2017-11-14 Monolithic 3D Inc. Self aligned semiconductor device and structure
US11315980B1 (en) 2010-10-11 2022-04-26 Monolithic 3D Inc. 3D semiconductor device and structure with transistors
US11018191B1 (en) 2010-10-11 2021-05-25 Monolithic 3D Inc. 3D semiconductor device and structure
US8956959B2 (en) 2010-10-11 2015-02-17 Monolithic 3D Inc. Method of manufacturing a semiconductor device with two monocrystalline layers
US11024673B1 (en) 2010-10-11 2021-06-01 Monolithic 3D Inc. 3D semiconductor device and structure
US11227897B2 (en) 2010-10-11 2022-01-18 Monolithic 3D Inc. Method for producing a 3D semiconductor memory device and structure
US11327227B2 (en) 2010-10-13 2022-05-10 Monolithic 3D Inc. Multilevel semiconductor device and structure with electromagnetic modulators
US11929372B2 (en) 2010-10-13 2024-03-12 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors and wafer bonding
US11063071B1 (en) 2010-10-13 2021-07-13 Monolithic 3D Inc. Multilevel semiconductor device and structure with waveguides
US8753913B2 (en) 2010-10-13 2014-06-17 Monolithic 3D Inc. Method for fabricating novel semiconductor and optoelectronic devices
US11163112B2 (en) 2010-10-13 2021-11-02 Monolithic 3D Inc. Multilevel semiconductor device and structure with electromagnetic modulators
US11164898B2 (en) 2010-10-13 2021-11-02 Monolithic 3D Inc. Multilevel semiconductor device and structure
US11869915B2 (en) 2010-10-13 2024-01-09 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors and wafer bonding
US11043523B1 (en) 2010-10-13 2021-06-22 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors
US10998374B1 (en) 2010-10-13 2021-05-04 Monolithic 3D Inc. Multilevel semiconductor device and structure
US11855100B2 (en) 2010-10-13 2023-12-26 Monolithic 3D Inc. Multilevel semiconductor device and structure with oxide bonding
US11855114B2 (en) 2010-10-13 2023-12-26 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors and wafer bonding
US10679977B2 (en) 2010-10-13 2020-06-09 Monolithic 3D Inc. 3D microdisplay device and structure
US11374042B1 (en) 2010-10-13 2022-06-28 Monolithic 3D Inc. 3D micro display semiconductor device and structure
US10833108B2 (en) 2010-10-13 2020-11-10 Monolithic 3D Inc. 3D microdisplay device and structure
US11694922B2 (en) 2010-10-13 2023-07-04 Monolithic 3D Inc. Multilevel semiconductor device and structure with oxide bonding
US8823122B2 (en) 2010-10-13 2014-09-02 Monolithic 3D Inc. Semiconductor and optoelectronic devices
US11133344B2 (en) 2010-10-13 2021-09-28 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors
US11404466B2 (en) 2010-10-13 2022-08-02 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors
US11437368B2 (en) 2010-10-13 2022-09-06 Monolithic 3D Inc. Multilevel semiconductor device and structure with oxide bonding
US12094892B2 (en) 2010-10-13 2024-09-17 Monolithic 3D Inc. 3D micro display device and structure
US10978501B1 (en) 2010-10-13 2021-04-13 Monolithic 3D Inc. Multilevel semiconductor device and structure with waveguides
US11984438B2 (en) 2010-10-13 2024-05-14 Monolithic 3D Inc. Multilevel semiconductor device and structure with oxide bonding
US10943934B2 (en) 2010-10-13 2021-03-09 Monolithic 3D Inc. Multilevel semiconductor device and structure
US12080743B2 (en) 2010-10-13 2024-09-03 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors and wafer bonding
US8476145B2 (en) 2010-10-13 2013-07-02 Monolithic 3D Inc. Method of fabricating a semiconductor device and structure
US11605663B2 (en) 2010-10-13 2023-03-14 Monolithic 3D Inc. Multilevel semiconductor device and structure with image sensors and wafer bonding
US8666678B2 (en) 2010-10-27 2014-03-04 Life Technologies Corporation Predictive model for use in sequencing-by-synthesis
EP3141614A1 (en) 2010-10-27 2017-03-15 Life Technologies Corporation Predictive model for use in sequencing-by-synthesis
US11453912B2 (en) 2010-10-27 2022-09-27 Life Technologies Corporation Methods and apparatuses for estimating parameters in a predictive model for use in sequencing-by-synthesis
US10273540B2 (en) 2010-10-27 2019-04-30 Life Technologies Corporation Methods and apparatuses for estimating parameters in a predictive model for use in sequencing-by-synthesis
JP2017006132A (en) * 2010-10-28 2017-01-12 ディーエヌエー エレクトロニクス エルティーディー Chemical sensing device
US12033884B2 (en) 2010-11-18 2024-07-09 Monolithic 3D Inc. Methods for producing a 3D semiconductor device and structure with memory cells and multiple metal layers
US11804396B2 (en) 2010-11-18 2023-10-31 Monolithic 3D Inc. Methods for producing a 3D semiconductor device and structure with memory cells and multiple metal layers
US11443971B2 (en) 2010-11-18 2022-09-13 Monolithic 3D Inc. 3D semiconductor device and structure with memory
US12125737B1 (en) 2010-11-18 2024-10-22 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and memory cells
US11355380B2 (en) 2010-11-18 2022-06-07 Monolithic 3D Inc. Methods for producing 3D semiconductor memory device and structure utilizing alignment marks
US10497713B2 (en) 2010-11-18 2019-12-03 Monolithic 3D Inc. 3D semiconductor memory device and structure
US11355381B2 (en) 2010-11-18 2022-06-07 Monolithic 3D Inc. 3D semiconductor memory device and structure
US12100611B2 (en) 2010-11-18 2024-09-24 Monolithic 3D Inc. Methods for producing a 3D semiconductor device and structure with memory cells and multiple metal layers
US11735462B2 (en) 2010-11-18 2023-08-22 Monolithic 3D Inc. 3D semiconductor device and structure with single-crystal layers
US9136153B2 (en) 2010-11-18 2015-09-15 Monolithic 3D Inc. 3D semiconductor device and structure with back-bias
US11854857B1 (en) 2010-11-18 2023-12-26 Monolithic 3D Inc. Methods for producing a 3D semiconductor device and structure with memory cells and multiple metal layers
US12068187B2 (en) 2010-11-18 2024-08-20 Monolithic 3D Inc. 3D semiconductor device and structure with bonding and DRAM memory cells
US11615977B2 (en) 2010-11-18 2023-03-28 Monolithic 3D Inc. 3D semiconductor memory device and structure
US11018042B1 (en) 2010-11-18 2021-05-25 Monolithic 3D Inc. 3D semiconductor memory device and structure
US11569117B2 (en) 2010-11-18 2023-01-31 Monolithic 3D Inc. 3D semiconductor device and structure with single-crystal layers
US11862503B2 (en) 2010-11-18 2024-01-02 Monolithic 3D Inc. Method for producing a 3D semiconductor device and structure with memory cells and multiple metal layers
US11031275B2 (en) 2010-11-18 2021-06-08 Monolithic 3D Inc. 3D semiconductor device and structure with memory
US11004719B1 (en) 2010-11-18 2021-05-11 Monolithic 3D Inc. Methods for producing a 3D semiconductor memory device and structure
US11211279B2 (en) 2010-11-18 2021-12-28 Monolithic 3D Inc. Method for processing a 3D integrated circuit and structure
US11901210B2 (en) 2010-11-18 2024-02-13 Monolithic 3D Inc. 3D semiconductor device and structure with memory
US11482438B2 (en) 2010-11-18 2022-10-25 Monolithic 3D Inc. Methods for producing a 3D semiconductor memory device and structure
US11482439B2 (en) 2010-11-18 2022-10-25 Monolithic 3D Inc. Methods for producing a 3D semiconductor memory device comprising charge trap junction-less transistors
US11495484B2 (en) 2010-11-18 2022-11-08 Monolithic 3D Inc. 3D semiconductor devices and structures with at least two single-crystal layers
US11164770B1 (en) 2010-11-18 2021-11-02 Monolithic 3D Inc. Method for producing a 3D semiconductor memory device and structure
US11121021B2 (en) 2010-11-18 2021-09-14 Monolithic 3D Inc. 3D semiconductor device and structure
US11107721B2 (en) 2010-11-18 2021-08-31 Monolithic 3D Inc. 3D semiconductor device and structure with NAND logic
US11094576B1 (en) 2010-11-18 2021-08-17 Monolithic 3D Inc. Methods for producing a 3D semiconductor memory device and structure
US11610802B2 (en) 2010-11-18 2023-03-21 Monolithic 3D Inc. Method for producing a 3D semiconductor device and structure with single crystal transistors and metal gate electrodes
US11784082B2 (en) 2010-11-18 2023-10-10 Monolithic 3D Inc. 3D semiconductor device and structure with bonding
US11521888B2 (en) 2010-11-18 2022-12-06 Monolithic 3D Inc. 3D semiconductor device and structure with high-k metal gate transistors
US11923230B1 (en) 2010-11-18 2024-03-05 Monolithic 3D Inc. 3D semiconductor device and structure with bonding
US11508605B2 (en) 2010-11-18 2022-11-22 Monolithic 3D Inc. 3D semiconductor memory device and structure
US8536023B2 (en) 2010-11-22 2013-09-17 Monolithic 3D Inc. Method of manufacturing a semiconductor device and structure
US8541819B1 (en) 2010-12-09 2013-09-24 Monolithic 3D Inc. Semiconductor device and structure
US11482440B2 (en) 2010-12-16 2022-10-25 Monolithic 3D Inc. 3D semiconductor device and structure with a built-in test circuit for repairing faulty circuits
US11041852B2 (en) 2010-12-23 2021-06-22 Molecular Loop Biosciences, Inc. Methods for maintaining the integrity and identification of a nucleic acid template in a multiplex sequencing reaction
US11768200B2 (en) 2010-12-23 2023-09-26 Molecular Loop Biosciences, Inc. Methods for maintaining the integrity and identification of a nucleic acid template in a multiplex sequencing reaction
US11041851B2 (en) 2010-12-23 2021-06-22 Molecular Loop Biosciences, Inc. Methods for maintaining the integrity and identification of a nucleic acid template in a multiplex sequencing reaction
WO2012118555A1 (en) 2010-12-29 2012-09-07 Life Technologies Corporation Time-warped background signal for sequencing-by-synthesis operations
US9594870B2 (en) 2010-12-29 2017-03-14 Life Technologies Corporation Time-warped background signal for sequencing-by-synthesis operations
US10832798B2 (en) 2010-12-29 2020-11-10 Life Technologies Corporation Time-warped background signal for sequencing-by-synthesis operations
WO2012092455A2 (en) 2010-12-30 2012-07-05 Life Technologies Corporation Models for analyzing data from sequencing-by-synthesis operations
EP3582224A1 (en) 2010-12-30 2019-12-18 Life Technologies Corporation Models for analyzing data from sequencing-by-synthesis operations
WO2012092515A2 (en) 2010-12-30 2012-07-05 Life Technologies Corporation Methods, systems, and computer readable media for nucleic acid sequencing
US11255813B2 (en) 2010-12-30 2022-02-22 Life Technologies Corporation Methods, systems, and computer readable media for nucleic acid sequencing
US10146906B2 (en) 2010-12-30 2018-12-04 Life Technologies Corporation Models for analyzing data from sequencing-by-synthesis operations
US11474070B2 (en) 2010-12-30 2022-10-18 Life Technologies Corporation Methods, systems, and computer readable media for making base calls in nucleic acid sequencing
US11386978B2 (en) 2010-12-30 2022-07-12 Life Technologies Corporation Fluidic chemFET polynucleotide sequencing systems with confinement regions and hydrogen ion rate and ratio parameters
US10241075B2 (en) 2010-12-30 2019-03-26 Life Technologies Corporation Methods, systems, and computer readable media for nucleic acid sequencing
US12050197B2 (en) 2010-12-30 2024-07-30 Life Technologies Corporation Methods, systems, and computer readable media for nucleic acid sequencing
US9269982B2 (en) 2011-01-13 2016-02-23 Imergy Power Systems, Inc. Flow cell stack
US9217132B2 (en) 2011-01-20 2015-12-22 Ibis Biosciences, Inc. Microfluidic transducer
US10457936B2 (en) 2011-02-02 2019-10-29 University Of Washington Through Its Center For Commercialization Massively parallel contiguity mapping
US11299730B2 (en) 2011-02-02 2022-04-12 University Of Washington Through Its Center For Commercialization Massively parallel contiguity mapping
US11999951B2 (en) 2011-02-02 2024-06-04 University Of Washington Through Its Center For Commercialization Massively parallel contiguity mapping
US11993772B2 (en) 2011-02-10 2024-05-28 Illumina, Inc. Linking sequence reads using paired code tags
WO2012109615A1 (en) 2011-02-10 2012-08-16 Life Technologies Corporation Purification systems and methods
US9534092B2 (en) 2011-02-10 2017-01-03 Life Technologies Corporation Purification systems and methods
US9932448B2 (en) 2011-02-10 2018-04-03 Life Technologies Corporation Purification systems and methods
US10246705B2 (en) 2011-02-10 2019-04-02 Ilumina, Inc. Linking sequence reads using paired code tags
US11077415B2 (en) 2011-02-11 2021-08-03 Bio-Rad Laboratories, Inc. Methods for forming mixed droplets
US9364803B2 (en) 2011-02-11 2016-06-14 Raindance Technologies, Inc. Methods for forming mixed droplets
US9150852B2 (en) 2011-02-18 2015-10-06 Raindance Technologies, Inc. Compositions and methods for molecular labeling
US11965877B2 (en) 2011-02-18 2024-04-23 Bio-Rad Laboratories, Inc. Compositions and methods for molecular labeling
US11168353B2 (en) 2011-02-18 2021-11-09 Bio-Rad Laboratories, Inc. Compositions and methods for molecular labeling
US11768198B2 (en) 2011-02-18 2023-09-26 Bio-Rad Laboratories, Inc. Compositions and methods for molecular labeling
WO2012112804A1 (en) * 2011-02-18 2012-08-23 Raindance Technoligies, Inc. Compositions and methods for molecular labeling
US11747327B2 (en) 2011-02-18 2023-09-05 Bio-Rad Laboratories, Inc. Compositions and methods for molecular labeling
US8975670B2 (en) 2011-03-06 2015-03-10 Monolithic 3D Inc. Semiconductor device and structure for heat removal
US8450804B2 (en) 2011-03-06 2013-05-28 Monolithic 3D Inc. Semiconductor device and structure for heat removal
US8901613B2 (en) 2011-03-06 2014-12-02 Monolithic 3D Inc. Semiconductor device and structure for heat removal
EP3366782A1 (en) 2011-04-08 2018-08-29 Life Technologies Corporation Phase-protecting reagent flow orderings for use in sequencing-by-synthesis
US9428807B2 (en) 2011-04-08 2016-08-30 Life Technologies Corporation Phase-protecting reagent flow orderings for use in sequencing-by-synthesis
US10370708B2 (en) 2011-04-08 2019-08-06 Life Technologies Corporation Phase-protecting reagent flow ordering for use in sequencing-by-synthesis
US11390920B2 (en) 2011-04-08 2022-07-19 Life Technologies Corporation Phase-protecting reagent flow orderings for use in sequencing-by-synthesis
WO2012138926A1 (en) 2011-04-08 2012-10-11 Life Technologies Corporation Methods and kits for breaking emulsions
WO2012138921A1 (en) 2011-04-08 2012-10-11 Life Technologies Corporation Phase-protecting reagent flow orderings for use in sequencing-by-synthesis
US10597711B2 (en) 2011-04-08 2020-03-24 Life Technologies Corporation Phase-protecting reagent flow orderings for use in sequencing-by-synthesis
US11479809B2 (en) 2011-04-13 2022-10-25 Spatial Transcriptomics Ab Methods of detecting analytes
US11795498B2 (en) 2011-04-13 2023-10-24 10X Genomics Sweden Ab Methods of detecting analytes
US11788122B2 (en) 2011-04-13 2023-10-17 10X Genomics Sweden Ab Methods of detecting analytes
US11352659B2 (en) 2011-04-13 2022-06-07 Spatial Transcriptomics Ab Methods of detecting analytes
US9150917B2 (en) 2011-04-20 2015-10-06 Life Technologies Corporation Methods, compositions and systems for sample deposition
WO2012145574A2 (en) 2011-04-20 2012-10-26 Life Technologies Corporation Methods, compositions and systems for sample deposition
EP3401679A1 (en) 2011-04-20 2018-11-14 Life Technologies Corporation Methods, compositions and systems for sample deposition
EP2702175B1 (en) 2011-04-25 2018-08-08 Bio-Rad Laboratories, Inc. Methods and compositions for nucleic acid analysis
US10760073B2 (en) 2011-04-25 2020-09-01 Bio-Rad Laboratories, Inc. Methods and compositions for nucleic acid analysis
US11939573B2 (en) 2011-04-25 2024-03-26 Bio-Rad Laboratories, Inc. Methods and compositions for nucleic acid analysis
EP3495497A1 (en) 2011-04-28 2019-06-12 Life Technologies Corporation Methods and compositions for multiplex pcr
WO2012149438A1 (en) 2011-04-28 2012-11-01 Life Technologies Corporation Methods and compositions for multiplex pcr
EP3072977A1 (en) 2011-04-28 2016-09-28 Life Technologies Corporation Methods and compositions for multiplex pcr
US8581349B1 (en) 2011-05-02 2013-11-12 Monolithic 3D Inc. 3D memory semiconductor device and structure
US8907299B2 (en) * 2011-05-06 2014-12-09 Gwangju Institute Of Science And Technology Film member, film target for laser-driven ion acceleration, and manufacturing methods thereof
US20120280138A1 (en) * 2011-05-06 2012-11-08 Gwangju Institute Of Science And Technology Film member, film target for laser-driven ion acceleration, and manufacturing methods thereof
US11155865B2 (en) 2011-05-27 2021-10-26 Genapsys, Inc. Systems and methods for genetic and biological analysis
US9434983B2 (en) 2011-05-27 2016-09-06 The Board Of Trustees Of The Leland Stanford Junior University Nano-sensor array
US9926596B2 (en) 2011-05-27 2018-03-27 Genapsys, Inc. Systems and methods for genetic and biological analysis
US10494672B2 (en) 2011-05-27 2019-12-03 Genapsys, Inc. Systems and methods for genetic and biological analysis
WO2012166647A1 (en) 2011-05-27 2012-12-06 Life Technologies Corporation Methods for manipulating biomolecules
US20190177790A1 (en) * 2011-05-27 2019-06-13 Genapsys, Inc. Systems and methods for genetic and biological analysis
US11542535B2 (en) * 2011-05-27 2023-01-03 Life Technologies Corporation Methods for manipulating biomolecules
US9274077B2 (en) 2011-05-27 2016-03-01 Genapsys, Inc. Systems and methods for genetic and biological analysis
US10787705B2 (en) 2011-05-27 2020-09-29 Genapsys, Inc. Systems and methods for genetic and biological analysis
US10612091B2 (en) 2011-05-27 2020-04-07 Genapsys, Inc. Systems and methods for genetic and biological analysis
US11021748B2 (en) 2011-05-27 2021-06-01 Genapsys, Inc. Systems and methods for genetic and biological analysis
US20140343265A1 (en) * 2011-05-27 2014-11-20 Life Technologies Corporation Methods for manipulating biomolecules
CN103827318A (en) * 2011-05-27 2014-05-28 生命技术公司 Methods for manipulating biomolecules
EP3260557A1 (en) 2011-05-27 2017-12-27 Life Technologies Corporation Methods for manipulating biomolecules
US10266892B2 (en) 2011-05-27 2019-04-23 Genapsys, Inc. Systems and methods for genetic and biological analysis
US10260095B2 (en) 2011-05-27 2019-04-16 Genapsys, Inc. Systems and methods for genetic and biological analysis
US10059982B2 (en) 2011-05-27 2018-08-28 The Board Of Trustees Of The Leland Stanford Junior University Nano-sensor array
US11754499B2 (en) 2011-06-02 2023-09-12 Bio-Rad Laboratories, Inc. Enzyme quantification
US8841071B2 (en) 2011-06-02 2014-09-23 Raindance Technologies, Inc. Sample multiplexing
US8778848B2 (en) 2011-06-09 2014-07-15 Illumina, Inc. Patterned flow-cells useful for nucleic acid analysis
US10787698B2 (en) 2011-06-09 2020-09-29 Illumina, Inc. Patterned flow-cells useful for nucleic acid analysis
US20120322167A1 (en) * 2011-06-17 2012-12-20 Chang Gung University Surface treatment method by using the nh3 plasma treatment to modify the sensing thin-film
US8741679B2 (en) * 2011-06-17 2014-06-03 Chang Gung University Surface treatment method by using the NH3 plasma treatment to modify the sensing thin-film
US9953925B2 (en) 2011-06-28 2018-04-24 Monolithic 3D Inc. Semiconductor system and device
US10388568B2 (en) 2011-06-28 2019-08-20 Monolithic 3D Inc. 3D semiconductor device and system
US10217667B2 (en) 2011-06-28 2019-02-26 Monolithic 3D Inc. 3D semiconductor device, fabrication method and system
US9219005B2 (en) 2011-06-28 2015-12-22 Monolithic 3D Inc. Semiconductor system and device
WO2013019361A1 (en) 2011-07-07 2013-02-07 Life Technologies Corporation Sequencing methods
WO2013009175A1 (en) 2011-07-08 2013-01-17 Keygene N.V. Sequence based genotyping based on oligonucleotide ligation assays
EP2980226A1 (en) 2011-07-08 2016-02-03 Keygene N.V. Sequence based genotyping based on oligonucleotide ligation assays
WO2013010062A2 (en) 2011-07-14 2013-01-17 Life Technologies Corporation Nucleic acid complexity reduction
US11898193B2 (en) 2011-07-20 2024-02-13 Bio-Rad Laboratories, Inc. Manipulating droplet size
US8658430B2 (en) 2011-07-20 2014-02-25 Raindance Technologies, Inc. Manipulating droplet size
US9670538B2 (en) 2011-08-05 2017-06-06 Ibis Biosciences, Inc. Nucleic acid sequencing by electrochemical detection
EP3293274A2 (en) 2011-08-10 2018-03-14 Life Technologies Corporation Polymerase compositions
WO2013023176A2 (en) 2011-08-10 2013-02-14 Life Technologies Corporation Polymerase compositions, methods of making and using same
WO2013023220A2 (en) 2011-08-11 2013-02-14 Life Technologies Corporation Systems and methods for nucleic acid-based identification
EP4324935A2 (en) 2011-08-18 2024-02-21 Life Technologies Corporation Methods, systems and computer readable media for making base calls in nucleic acid sequencing
US10704164B2 (en) 2011-08-31 2020-07-07 Life Technologies Corporation Methods, systems, computer readable media, and kits for sample identification
DE102011112145B4 (en) * 2011-09-01 2015-05-07 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Cell culture vessel with integrated sensors
DE102011112145A1 (en) * 2011-09-01 2013-03-07 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Cell culture container comprises cell compartment, in which cell culturing can be carried out, base plate having cell compartment with sensor, electronic module slot for receiving electronic module, and an electronic module
US10385475B2 (en) 2011-09-12 2019-08-20 Adaptive Biotechnologies Corp. Random array sequencing of low-complexity libraries
US20170273608A1 (en) * 2011-09-22 2017-09-28 Ohio State Innovation Foundation Ionic barrier for floating gate in vivo biosensors
US20130158378A1 (en) * 2011-09-22 2013-06-20 The Ohio State University Ionic barrier for floating gate in vivo biosensors
WO2013049227A3 (en) * 2011-09-26 2014-01-09 Geneart Ag High efficiency, small volume nucleic acid synthesis
US20210388346A1 (en) * 2011-09-26 2021-12-16 Life Technologies Corporation High efficiency, small volume nucleic acid synthesis
EP3964285A1 (en) 2011-09-26 2022-03-09 Thermo Fisher Scientific Geneart GmbH High efficiency, small volume nucleic acid synthesis
US10519439B2 (en) 2011-09-26 2019-12-31 Life Technologies Corporation High efficiency, small volume nucleic acid synthesis
US20150344876A1 (en) * 2011-09-26 2015-12-03 Life Technologies Corporation High efficiency, small volume nucleic acid synthesis
WO2013049227A2 (en) 2011-09-26 2013-04-04 Geneart Ag High efficiency, small volume nucleic acid synthesis
US11046953B2 (en) 2011-09-26 2021-06-29 Life Technologies Corporation High efficiency, small volume nucleic acid synthesis
WO2013045939A1 (en) 2011-09-29 2013-04-04 Illumina, Inc. Continuous extension and deblocking in reactions for nucleic acid synthesis and sequencing
EP3293272A1 (en) 2011-09-29 2018-03-14 Illumina, Inc. Continuous extension and deblocking in reactions for nucleic acid synthesis and sequencing
US10378051B2 (en) 2011-09-29 2019-08-13 Illumina Cambridge Limited Continuous extension and deblocking in reactions for nucleic acids synthesis and sequencing
US20140234981A1 (en) * 2011-09-30 2014-08-21 Stc.Unm Double gate ion sensitive field effect transistor
US11008611B2 (en) 2011-09-30 2021-05-18 Unm Rainforest Innovations Double gate ion sensitive field effect transistor
US9030858B2 (en) 2011-10-02 2015-05-12 Monolithic 3D Inc. Semiconductor device and structure
US8687399B2 (en) 2011-10-02 2014-04-01 Monolithic 3D Inc. Semiconductor device and structure
WO2013055553A1 (en) 2011-10-03 2013-04-18 Life Technologies Corporation Electric field directed loading of microwell array
US9476854B2 (en) 2011-10-03 2016-10-25 Life Technologies Corporation Electric field directed loading of microwell array
US9267914B2 (en) 2011-10-03 2016-02-23 Life Technologies Corporation Electric field directed loading of microwell array
US9778221B2 (en) 2011-10-03 2017-10-03 Life Technologies Corporation Electric field directed loading of microwell array
EP3323897A1 (en) 2011-10-03 2018-05-23 Celmatix, Inc. Methods and devices for assessing risk to a putative offspring of developing a condition
WO2013052837A1 (en) 2011-10-05 2013-04-11 Life Technologies Corporation Signal correction for multiplexer cross-talk in chemical sensor arrays
WO2013052825A1 (en) 2011-10-05 2013-04-11 Life Technologies Corporation Bypass for r-c filter in chemical sensor arrays
US11339439B2 (en) 2011-10-10 2022-05-24 The Hospital For Sick Children Methods and compositions for screening and treating developmental disorders
US9197804B1 (en) 2011-10-14 2015-11-24 Monolithic 3D Inc. Semiconductor and optoelectronic devices
US9228233B2 (en) 2011-10-17 2016-01-05 Good Start Genetics, Inc. Analysis methods
US10370710B2 (en) 2011-10-17 2019-08-06 Good Start Genetics, Inc. Analysis methods
US9822409B2 (en) 2011-10-17 2017-11-21 Good Start Genetics, Inc. Analysis methods
US9029173B2 (en) 2011-10-18 2015-05-12 Monolithic 3D Inc. Method for fabrication of a semiconductor device and structure
US9206418B2 (en) 2011-10-19 2015-12-08 Nugen Technologies, Inc. Compositions and methods for directional nucleic acid amplification and sequencing
US10525467B2 (en) 2011-10-21 2020-01-07 Integenx Inc. Sample preparation, processing and analysis systems
US9181590B2 (en) 2011-10-21 2015-11-10 Adaptive Biotechnologies Corporation Quantification of adaptive immune cell genomes in a complex mixture of cells
US10865440B2 (en) 2011-10-21 2020-12-15 IntegenX, Inc. Sample preparation, processing and analysis systems
US9279159B2 (en) 2011-10-21 2016-03-08 Adaptive Biotechnologies Corporation Quantification of adaptive immune cell genomes in a complex mixture of cells
US11684918B2 (en) 2011-10-21 2023-06-27 IntegenX, Inc. Sample preparation, processing and analysis systems
US10280454B2 (en) 2011-10-28 2019-05-07 Illumina, Inc. Microarray fabrication system and method
US11060135B2 (en) 2011-10-28 2021-07-13 Illumina, Inc. Microarray fabrication system and method
WO2013063382A2 (en) 2011-10-28 2013-05-02 Illumina, Inc. Microarray fabrication system and method
WO2013062687A1 (en) * 2011-10-28 2013-05-02 Intevac, Inc. Backside-thinned image sensor using a12o3 surface passivation
US8778849B2 (en) 2011-10-28 2014-07-15 Illumina, Inc. Microarray fabrication system and method
US8975668B2 (en) 2011-10-28 2015-03-10 Intevac, Inc. Backside-thinned image sensor using Al2 O3 surface passivation
US9670535B2 (en) 2011-10-28 2017-06-06 Illumina, Inc. Microarray fabrication system and method
EP3305400A2 (en) 2011-10-28 2018-04-11 Illumina, Inc. Microarray fabrication system and method
US11834704B2 (en) 2011-10-28 2023-12-05 Illumina, Inc. Microarray fabrication system and method
US11180807B2 (en) 2011-11-04 2021-11-23 Population Bio, Inc. Methods for detecting a genetic variation in attractin-like 1 (ATRNL1) gene in subject with Parkinson's disease
US10167505B2 (en) 2011-11-07 2019-01-01 Illumina, Inc. Integrated sequencing apparatuses and methods of use
US9309571B2 (en) 2011-11-07 2016-04-12 Illumina, Inc. Integrated sequencing apparatuses and methods of use
US8637242B2 (en) 2011-11-07 2014-01-28 Illumina, Inc. Integrated sequencing apparatuses and methods of use
WO2013070627A2 (en) 2011-11-07 2013-05-16 Illumina, Inc. Integrated sequencing apparatuses and methods of use
WO2013082164A1 (en) 2011-11-28 2013-06-06 Life Technologies Corporation Enhanced ligation reactions
WO2013081864A1 (en) 2011-11-29 2013-06-06 Life Technologies Corporation Methods and compositions for multiplex pcr
EP2966180A1 (en) 2011-11-29 2016-01-13 Life Technologies Corporation Methods and compositions for multiplex pcr
US10093975B2 (en) 2011-12-01 2018-10-09 Genapsys, Inc. Systems and methods for high efficiency electronic sequencing and detection
US9970984B2 (en) 2011-12-01 2018-05-15 Life Technologies Corporation Method and apparatus for identifying defects in a chemical sensor array
CN104105797A (en) * 2011-12-01 2014-10-15 吉纳普赛斯股份有限公司 Systems and methods for high efficiency electronic sequencing and detection
US10598723B2 (en) 2011-12-01 2020-03-24 Life Technologies Corporation Method and apparatus for identifying defects in a chemical sensor array
US11286522B2 (en) * 2011-12-01 2022-03-29 Genapsys, Inc. Systems and methods for high efficiency electronic sequencing and detection
US10365321B2 (en) 2011-12-01 2019-07-30 Life Technologies Corporation Method and apparatus for identifying defects in a chemical sensor array
WO2013082619A1 (en) * 2011-12-01 2013-06-06 Genapsys, Inc. Systems and methods for high efficiency electronic sequencing and detection
US9824179B2 (en) 2011-12-09 2017-11-21 Adaptive Biotechnologies Corp. Diagnosis of lymphoid malignancies and minimal residual disease detection
WO2013085710A2 (en) 2011-12-09 2013-06-13 Illumina, Inc. Expanded radix for polymeric tags
EP3460076A1 (en) 2011-12-13 2019-03-27 Adaptive Biotechnologies Corporation Detection and measurement of tissue-infiltrating lymphocytes
US9499865B2 (en) 2011-12-13 2016-11-22 Adaptive Biotechnologies Corp. Detection and measurement of tissue-infiltrating lymphocytes
WO2013090469A1 (en) 2011-12-13 2013-06-20 Sequenta, Inc. Detection and measurement of tissue-infiltrating lymphocytes
US10150993B2 (en) 2011-12-22 2018-12-11 Ibis Biosciences, Inc. Macromolecule positioning by electrical potential
US9803188B2 (en) 2011-12-22 2017-10-31 Ibis Biosciences, Inc. Systems and methods for isolating nucleic acids
US10227582B2 (en) 2011-12-22 2019-03-12 Ibis Biosciences, Inc. Systems and methods for isolating nucleic acids from cellular samples
US9334491B2 (en) 2011-12-22 2016-05-10 Ibis Biosciences, Inc. Systems and methods for isolating nucleic acids from cellular samples
US9506113B2 (en) 2011-12-28 2016-11-29 Ibis Biosciences, Inc. Nucleic acid ligation systems and methods
US10550423B2 (en) 2011-12-29 2020-02-04 Ibis Biosciences, Inc. Macromolecule delivery to nanowells
US9803231B2 (en) 2011-12-29 2017-10-31 Ibis Biosciences, Inc. Macromolecule delivery to nanowells
WO2013104990A1 (en) 2012-01-09 2013-07-18 Oslo Universitetssykehus Hf Methods and biomarkers for analysis of colorectal cancer
US10704091B2 (en) 2012-01-13 2020-07-07 Data2Bio Genotyping by next-generation sequencing
US9951384B2 (en) 2012-01-13 2018-04-24 Data2Bio Genotyping by next-generation sequencing
WO2013109559A1 (en) * 2012-01-19 2013-07-25 Life Technologies Corporation System and manufacturing method of the system comprising a sensor array and a well wall structure over the sensor array
WO2013109877A3 (en) * 2012-01-19 2013-10-03 Life Technologies Corporation Chemical sensor with conductive cup-shaped sensor surface
US9194840B2 (en) 2012-01-19 2015-11-24 Life Technologies Corporation Sensor arrays and methods for making same
EP2807478B1 (en) * 2012-01-19 2019-07-31 Life Technologies Corporation Isfet sensor array comprising titanium nitride as a sensing layer located on the bottom of a microwell structure
US8747748B2 (en) 2012-01-19 2014-06-10 Life Technologies Corporation Chemical sensor with conductive cup-shaped sensor surface
WO2013109877A2 (en) 2012-01-19 2013-07-25 Life Technologies Corporation Chemical sensor with conductive cup-shaped sensor surface
US8821798B2 (en) 2012-01-19 2014-09-02 Life Technologies Corporation Titanium nitride as sensing layer for microwell structure
US9528962B2 (en) 2012-01-19 2016-12-27 Life Technologies Corporation Sensor arrays and methods for making same
US10585092B2 (en) 2012-01-23 2020-03-10 Ohio State Innovation Foundation Devices and methods for the rapid and accurate detection of analytes
US9650628B2 (en) 2012-01-26 2017-05-16 Nugen Technologies, Inc. Compositions and methods for targeted nucleic acid sequence enrichment and high efficiency library regeneration
US10876108B2 (en) 2012-01-26 2020-12-29 Nugen Technologies, Inc. Compositions and methods for targeted nucleic acid sequence enrichment and high efficiency library generation
US10036012B2 (en) 2012-01-26 2018-07-31 Nugen Technologies, Inc. Compositions and methods for targeted nucleic acid sequence enrichment and high efficiency library generation
US9515676B2 (en) 2012-01-31 2016-12-06 Life Technologies Corporation Methods and computer program products for compression of sequencing data
US9864846B2 (en) 2012-01-31 2018-01-09 Life Technologies Corporation Methods and computer program products for compression of sequencing data
US10724094B2 (en) 2012-02-09 2020-07-28 Life Technologies Corporation Conjugated polymeric particle and method of making same
WO2013119956A1 (en) 2012-02-09 2013-08-15 Life Technologies Corporation Conjugated polymeric particle and method of making same
US9938577B2 (en) 2012-02-09 2018-04-10 Life Technologies Corporation Conjugated polymeric particle and method of making same
EP4116338A1 (en) 2012-02-09 2023-01-11 Life Technologies Corporation Hydrophilic polymeric particles and methods for making same
US11702696B2 (en) 2012-02-09 2023-07-18 Life Technologies Corporation Conjugated polymeric particle and method of making same
EP3626831A1 (en) 2012-02-09 2020-03-25 Life Technologies Corporation Conjugated polymeric particle and method of making same
US11174516B2 (en) 2012-02-09 2021-11-16 The Hospital For Sick Children Methods and compositions for screening and treating developmental disorders
US9139667B2 (en) 2012-02-09 2015-09-22 Life Technologies Corporation Conjugated polymeric particle and method of making same
EP3228715A2 (en) 2012-02-09 2017-10-11 Life Technologies Corporation Conjugated polymeric particle and method of making same
US10407724B2 (en) 2012-02-09 2019-09-10 The Hospital For Sick Children Methods and compositions for screening and treating developmental disorders
WO2013119936A2 (en) 2012-02-09 2013-08-15 Life Technologies Corporation Hydrophilic polymeric particles and methods for making same
EP3495817A1 (en) 2012-02-10 2019-06-12 Raindance Technologies, Inc. Molecular diagnostic screening assay
US10450606B2 (en) 2012-02-17 2019-10-22 Fred Hutchinson Cancer Research Center Compositions and methods for accurately identifying mutations
US11441180B2 (en) 2012-02-17 2022-09-13 Fred Hutchinson Cancer Center Compositions and methods for accurately identifying mutations
WO2013124390A1 (en) * 2012-02-22 2013-08-29 Roche Diagnostics Gmbh System and method for generation and use of compact clonally amplified products
WO2013134162A2 (en) 2012-03-05 2013-09-12 Sequenta, Inc. Determining paired immune receptor chains from frequency matched subunits
EP3372694A1 (en) 2012-03-05 2018-09-12 Adaptive Biotechnologies Corporation Determining paired immune receptor chains from frequency matched subunits
US10077478B2 (en) 2012-03-05 2018-09-18 Adaptive Biotechnologies Corp. Determining paired immune receptor chains from frequency matched subunits
US9000557B2 (en) 2012-03-17 2015-04-07 Zvi Or-Bach Semiconductor device and structure
US20150091581A1 (en) * 2012-03-30 2015-04-02 Gene Onyx Limited Isfet array for detecting a single nucleotide polymorphism
WO2013152114A1 (en) 2012-04-03 2013-10-10 The Regents Of The University Of Michigan Biomarker associated with irritable bowel syndrome and crohn's disease
US9732387B2 (en) 2012-04-03 2017-08-15 The Regents Of The University Of Michigan Biomarker associated with irritable bowel syndrome and Crohn's disease
US8738300B2 (en) 2012-04-04 2014-05-27 Good Start Genetics, Inc. Sequence assembly
US11149308B2 (en) 2012-04-04 2021-10-19 Invitae Corporation Sequence assembly
US10604799B2 (en) 2012-04-04 2020-03-31 Molecular Loop Biosolutions, Llc Sequence assembly
US11155863B2 (en) 2012-04-04 2021-10-26 Invitae Corporation Sequence assembly
US11667965B2 (en) 2012-04-04 2023-06-06 Invitae Corporation Sequence assembly
US11468968B2 (en) 2012-04-09 2022-10-11 Life Technologies Corporation Systems and methods for identifying somatic mutations
US8812422B2 (en) 2012-04-09 2014-08-19 Good Start Genetics, Inc. Variant database
US11616004B1 (en) 2012-04-09 2023-03-28 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and a connective path
US11881443B2 (en) 2012-04-09 2024-01-23 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and a connective path
US11694944B1 (en) 2012-04-09 2023-07-04 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and a connective path
US9305867B1 (en) 2012-04-09 2016-04-05 Monolithic 3D Inc. Semiconductor devices and structures
US11088050B2 (en) 2012-04-09 2021-08-10 Monolithic 3D Inc. 3D semiconductor device with isolation layers
US11164811B2 (en) 2012-04-09 2021-11-02 Monolithic 3D Inc. 3D semiconductor device with isolation layers and oxide-to-oxide bonding
US11594473B2 (en) 2012-04-09 2023-02-28 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and a connective path
US8557632B1 (en) 2012-04-09 2013-10-15 Monolithic 3D Inc. Method for fabrication of a semiconductor device and structure
US10600888B2 (en) 2012-04-09 2020-03-24 Monolithic 3D Inc. 3D semiconductor device
US11735501B1 (en) 2012-04-09 2023-08-22 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and a connective path
US11410912B2 (en) 2012-04-09 2022-08-09 Monolithic 3D Inc. 3D semiconductor device with vias and isolation layers
US9298804B2 (en) 2012-04-09 2016-03-29 Good Start Genetics, Inc. Variant database
US8836073B1 (en) 2012-04-09 2014-09-16 Monolithic 3D Inc. Semiconductor device and structure
US11476181B1 (en) 2012-04-09 2022-10-18 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US9444880B2 (en) 2012-04-11 2016-09-13 Illumina, Inc. Cloud computing environment for biological data
US11634746B2 (en) 2012-04-11 2023-04-25 Illumina, Inc. Portable genetic detection and analysis system and method
US11894135B2 (en) 2012-04-11 2024-02-06 Illumina, Inc. Cloud computing environment for biological data
US11031132B2 (en) 2012-04-11 2021-06-08 Illumina, Inc. Cloud computing environment for biological data
US10223502B2 (en) 2012-04-11 2019-03-05 Illumina, Inc. Cloud computing environment for biological data
US10428367B2 (en) 2012-04-11 2019-10-01 Illumina, Inc. Portable genetic detection and analysis system and method
US12110537B2 (en) 2012-04-16 2024-10-08 Molecular Loop Biosciences, Inc. Capture reactions
US10683533B2 (en) 2012-04-16 2020-06-16 Molecular Loop Biosolutions, Llc Capture reactions
US10227635B2 (en) 2012-04-16 2019-03-12 Molecular Loop Biosolutions, Llc Capture reactions
EP3095879A1 (en) 2012-04-19 2016-11-23 Life Technologies Corporation Nucleic acid amplification
EP3461910A1 (en) 2012-04-19 2019-04-03 Life Technologies Corporation Nucleic acid amplification
WO2013158313A1 (en) 2012-04-19 2013-10-24 Life Technologies Corporation Nucleic acid amplification
WO2013166302A1 (en) 2012-05-02 2013-11-07 Ibis Biosciences, Inc. Nucleic acid sequencing systems and methods
US10202642B2 (en) 2012-05-02 2019-02-12 Ibis Biosciences, Inc. DNA sequencing
WO2013166444A2 (en) 2012-05-04 2013-11-07 Boreal Genomics Corp. Biomarker analysis using scodaphoresis
US9150905B2 (en) 2012-05-08 2015-10-06 Adaptive Biotechnologies Corporation Compositions and method for measuring and calibrating amplification bias in multiplexed PCR reactions
US10214770B2 (en) 2012-05-08 2019-02-26 Adaptive Biotechnologies Corp. Compositions and method for measuring and calibrating amplification bias in multiplexed PCR reactions
US10894977B2 (en) 2012-05-08 2021-01-19 Adaptive Biotechnologies Corporation Compositions and methods for measuring and calibrating amplification bias in multiplexed PCR reactions
US9371558B2 (en) 2012-05-08 2016-06-21 Adaptive Biotechnologies Corp. Compositions and method for measuring and calibrating amplification bias in multiplexed PCR reactions
US9646132B2 (en) 2012-05-11 2017-05-09 Life Technologies Corporation Models for analyzing data from sequencing-by-synthesis operations
US10679724B2 (en) 2012-05-11 2020-06-09 Life Technologies Corporation Models for analyzing data from sequencing-by-synthesis operations
US11657893B2 (en) 2012-05-11 2023-05-23 Life Technologies Corporation Models for analyzing data from sequencing-by-synthesis operations
US20170233797A1 (en) * 2012-05-25 2017-08-17 The University Of North Carolina At Chapel Hill Microfluidic Devices, Solid Supports for Reagents and Related Methods
US20220364161A1 (en) * 2012-05-25 2022-11-17 The University Of North Carolina At Chapel Hill Microfluidic Devices, Solid Supports For Reagents and Related Methods
US12077808B2 (en) * 2012-05-25 2024-09-03 The University Of North Carolina At Chapel Hill Microfluidic devices, solid supports for reagents and related methods
US11345947B2 (en) * 2012-05-25 2022-05-31 The University Of North Carolina At Chapel Hill Microfluidic devices, solid supports for reagents and related methods
US10404249B2 (en) 2012-05-29 2019-09-03 Life Technologies Corporation System for reducing noise in a chemical sensor array
US8552771B1 (en) 2012-05-29 2013-10-08 Life Technologies Corporation System for reducing noise in a chemical sensor array
US9985624B2 (en) 2012-05-29 2018-05-29 Life Technologies Corporation System for reducing noise in a chemical sensor array
US8786331B2 (en) 2012-05-29 2014-07-22 Life Technologies Corporation System for reducing noise in a chemical sensor array
US9270264B2 (en) 2012-05-29 2016-02-23 Life Technologies Corporation System for reducing noise in a chemical sensor array
US12060609B2 (en) 2012-06-08 2024-08-13 Illumina, Inc. Polymer coatings
US10954561B2 (en) 2012-06-08 2021-03-23 Illumina, Inc. Polymer coatings
US10266891B2 (en) 2012-06-08 2019-04-23 Illumina, Inc. Polymer coatings
US9752186B2 (en) 2012-06-08 2017-09-05 Illumina, Inc. Polymer coatings
US9012022B2 (en) 2012-06-08 2015-04-21 Illumina, Inc. Polymer coatings
EP3792320A1 (en) 2012-06-08 2021-03-17 Illumina, Inc. Polymer coatings
WO2013184796A1 (en) 2012-06-08 2013-12-12 Illumina, Inc. Polymer coatings
US11702694B2 (en) 2012-06-08 2023-07-18 Illumina, Inc. Polymer coatings
EP3366781A1 (en) 2012-06-15 2018-08-29 Illumina, Inc. Kinetic exclusion amplification of nucleic acid libraries
WO2013188582A1 (en) 2012-06-15 2013-12-19 Illumina, Inc. Kinetic exclusion amplification of nucleic acid libraries
US9957549B2 (en) 2012-06-18 2018-05-01 Nugen Technologies, Inc. Compositions and methods for negative selection of non-desired nucleic acid sequences
US9099486B2 (en) 2012-06-19 2015-08-04 Nxp, B.V. Integrated circuit with ion sensitive sensor and manufacturing method
EP2677306A1 (en) 2012-06-19 2013-12-25 Nxp B.V. Integrated circuit with ion sensitive sensor and manufacturing method
US9606079B2 (en) * 2012-06-21 2017-03-28 Nxp B.V. Integrated circuit with sensors and manufacturing method
EP2677307A1 (en) 2012-06-21 2013-12-25 Nxp B.V. Integrated circuit with sensors and manufacturing method
US20130341734A1 (en) * 2012-06-21 2013-12-26 Nxp B.V. Integrated circuit with sensors and manufacturing method
CN103512940A (en) * 2012-06-21 2014-01-15 Nxp股份有限公司 Integrated circuit with sensors and manufacturing method
WO2014005076A2 (en) 2012-06-29 2014-01-03 The Regents Of The University Of Michigan Methods and biomarkers for detection of kidney disorders
US11028430B2 (en) 2012-07-09 2021-06-08 Nugen Technologies, Inc. Methods for creating directional bisulfite-converted nucleic acid libraries for next generation sequencing
US11697843B2 (en) 2012-07-09 2023-07-11 Tecan Genomics, Inc. Methods for creating directional bisulfite-converted nucleic acid libraries for next generation sequencing
EP3388533A1 (en) 2012-07-13 2018-10-17 Life Technologies Corporation Human identification using a panel of snps
US10316363B2 (en) 2012-07-18 2019-06-11 Dnae Group Holdings Limited Sensing apparatus for amplification and sequencing of template polynucleotides and array for amplification of template polynucleotides
US10557168B2 (en) 2012-07-18 2020-02-11 Dnae Group Holdings Limited Sensing apparatus for amplification and sequencing of template polynucleotides and array for amplification of template polynucleotides
US9099424B1 (en) 2012-08-10 2015-08-04 Monolithic 3D Inc. Semiconductor system, device and structure with heat removal
CN103675024A (en) * 2012-09-08 2014-03-26 台湾积体电路制造股份有限公司 Direct sensing BioFET and methods of manufacture
EP3257952A1 (en) 2012-09-11 2017-12-20 Life Technologies Corporation Nucleic acid amplification
WO2014043143A1 (en) 2012-09-11 2014-03-20 Life Technologies Corporation Nucleic acid amplification
US11008614B2 (en) 2012-09-14 2021-05-18 Population Bio, Inc. Methods for diagnosing, prognosing, and treating parkinsonism
US9976180B2 (en) 2012-09-14 2018-05-22 Population Bio, Inc. Methods for detecting a genetic variation in subjects with parkinsonism
US11749376B2 (en) 2012-09-14 2023-09-05 Life Technologies Corporation Systems and methods for identifying sequence variation associated with genetic diseases
US12012634B2 (en) 2012-09-14 2024-06-18 Population Bio, Inc. Methods for diagnosing, prognosing, and treating parkinson's disease or parkinsonism
WO2014043298A1 (en) 2012-09-14 2014-03-20 Life Technologies Corporation Systems and methods for identifying sequence variation associated with genetic diseases
US10347360B2 (en) 2012-09-14 2019-07-09 Life Technologies Corporation Systems and methods for identifying sequence variation associated with genetic diseases
US9343497B2 (en) * 2012-09-20 2016-05-17 Semiconductor Components Industries, Llc Imagers with stacked integrated circuit dies
US20140077063A1 (en) * 2012-09-20 2014-03-20 Aptina Imaging Corporation Imagers with stacked integrated circuit dies
US10233495B2 (en) 2012-09-27 2019-03-19 The Hospital For Sick Children Methods and compositions for screening and treating developmental disorders
US11618925B2 (en) 2012-09-27 2023-04-04 Population Bio, Inc. Methods and compositions for screening and treating developmental disorders
US10597721B2 (en) 2012-09-27 2020-03-24 Population Bio, Inc. Methods and compositions for screening and treating developmental disorders
US12104211B2 (en) 2012-10-01 2024-10-01 Adaptive Biotechnologies Corporation Immunocompetence assessment by adaptive immune receptor diversity and clonality characterization
US11180813B2 (en) 2012-10-01 2021-11-23 Adaptive Biotechnologies Corporation Immunocompetence assessment by adaptive immune receptor diversity and clonality characterization
US10221461B2 (en) 2012-10-01 2019-03-05 Adaptive Biotechnologies Corp. Immunocompetence assessment by adaptive immune receptor diversity and clonality characterization
US10329608B2 (en) 2012-10-10 2019-06-25 Life Technologies Corporation Methods, systems, and computer readable media for repeat sequencing
US11655500B2 (en) 2012-10-10 2023-05-23 Life Technologies Corporation Methods, systems, and computer readable media for repeat sequencing
US12077818B2 (en) 2012-10-10 2024-09-03 Life Technologies Corporation Methods, systems, and computer readable media for repeat sequencing
WO2014062717A1 (en) 2012-10-15 2014-04-24 Life Technologies Corporation Compositions, methods, systems and kits for target nucleic acid enrichment
EP3252174A1 (en) 2012-10-15 2017-12-06 Life Technologies Corporation Compositions, methods, systems and kits for target nucleic acid enrichment
WO2014062835A1 (en) 2012-10-16 2014-04-24 Abbott Molecular Inc. Methods and apparatus to sequence a nucleic acid
US9322060B2 (en) 2012-10-16 2016-04-26 Abbott Molecular, Inc. Methods and apparatus to sequence a nucleic acid
EP3447150A1 (en) 2012-10-16 2019-02-27 Abbott Molecular Inc. Methods and apparatus to sequence a nucleic acid
USRE50065E1 (en) 2012-10-17 2024-07-30 10X Genomics Sweden Ab Methods and product for optimising localised or spatial detection of gene expression in a tissue sample
US9177098B2 (en) 2012-10-17 2015-11-03 Celmatix Inc. Systems and methods for determining the probability of a pregnancy at a selected point in time
US10162800B2 (en) 2012-10-17 2018-12-25 Celmatix Inc. Systems and methods for determining the probability of a pregnancy at a selected point in time
US20160078172A1 (en) 2012-10-17 2016-03-17 Celmatix Inc. Systems and methods for determining the probability of a pregnancy at a selected point in time
US10580516B2 (en) 2012-10-17 2020-03-03 Celmatix, Inc. Systems and methods for determining the probability of a pregnancy at a selected point in time
US10150996B2 (en) 2012-10-19 2018-12-11 Adaptive Biotechnologies Corp. Quantification of adaptive immune cell genomes in a complex mixture of cells
WO2014066217A1 (en) 2012-10-23 2014-05-01 Illumina, Inc. Hla typing using selective amplification and sequencing
EP3594362A1 (en) 2012-10-23 2020-01-15 Illumina, Inc. Method and systems for determining haplotypes in a sample
US9989544B2 (en) 2012-11-05 2018-06-05 Illumina, Inc. Sequence scheduling and sample distribution techniques
US9116139B2 (en) 2012-11-05 2015-08-25 Illumina, Inc. Sequence scheduling and sample distribution techniques
WO2014074611A1 (en) 2012-11-07 2014-05-15 Good Start Genetics, Inc. Methods and systems for identifying contamination in samples
US8686428B1 (en) 2012-11-16 2014-04-01 Monolithic 3D Inc. Semiconductor device and structure
US8574929B1 (en) 2012-11-16 2013-11-05 Monolithic 3D Inc. Method to form a 3D semiconductor device and structure
US8742476B1 (en) 2012-11-27 2014-06-03 Monolithic 3D Inc. Semiconductor device and structure
US9836577B2 (en) 2012-12-14 2017-12-05 Celmatix, Inc. Methods and devices for assessing risk of female infertility
US11603400B2 (en) 2012-12-19 2023-03-14 Dnae Group Holdings Limited Methods for raising antibodies
US9995742B2 (en) 2012-12-19 2018-06-12 Dnae Group Holdings Limited Sample entry
US9804069B2 (en) 2012-12-19 2017-10-31 Dnae Group Holdings Limited Methods for degrading nucleic acid
US9902949B2 (en) 2012-12-19 2018-02-27 Dnae Group Holdings Limited Methods for universal target capture
US10745763B2 (en) 2012-12-19 2020-08-18 Dnae Group Holdings Limited Target capture system
US10000557B2 (en) 2012-12-19 2018-06-19 Dnae Group Holdings Limited Methods for raising antibodies
US10584329B2 (en) 2012-12-19 2020-03-10 Dnae Group Holdings Limited Methods for universal target capture
US9599610B2 (en) 2012-12-19 2017-03-21 Dnae Group Holdings Limited Target capture system
US9551704B2 (en) 2012-12-19 2017-01-24 Dna Electronics, Inc. Target detection
US10379113B2 (en) 2012-12-19 2019-08-13 Dnae Group Holdings Limited Target detection
US11016086B2 (en) 2012-12-19 2021-05-25 Dnae Group Holdings Limited Sample entry
US8674470B1 (en) 2012-12-22 2014-03-18 Monolithic 3D Inc. Semiconductor device and structure
US11916045B2 (en) 2012-12-22 2024-02-27 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11961827B1 (en) 2012-12-22 2024-04-16 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11018116B2 (en) 2012-12-22 2021-05-25 Monolithic 3D Inc. Method to form a 3D semiconductor device and structure
US11967583B2 (en) 2012-12-22 2024-04-23 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11217565B2 (en) 2012-12-22 2022-01-04 Monolithic 3D Inc. Method to form a 3D semiconductor device and structure
US11784169B2 (en) 2012-12-22 2023-10-10 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11309292B2 (en) 2012-12-22 2022-04-19 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11063024B1 (en) 2012-12-22 2021-07-13 Monlithic 3D Inc. Method to form a 3D semiconductor device and structure
US8921970B1 (en) 2012-12-22 2014-12-30 Monolithic 3D Inc Semiconductor device and structure
US9252134B2 (en) 2012-12-22 2016-02-02 Monolithic 3D Inc. Semiconductor device and structure
US12051674B2 (en) 2012-12-22 2024-07-30 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US9460978B1 (en) 2012-12-29 2016-10-04 Monolithic 3D Inc. Semiconductor device and structure
US11430668B2 (en) 2012-12-29 2022-08-30 Monolithic 3D Inc. 3D semiconductor device and structure with bonding
US11087995B1 (en) 2012-12-29 2021-08-10 Monolithic 3D Inc. 3D semiconductor device and structure
US10651054B2 (en) 2012-12-29 2020-05-12 Monolithic 3D Inc. 3D semiconductor device and structure
US9871034B1 (en) 2012-12-29 2018-01-16 Monolithic 3D Inc. Semiconductor device and structure
US11430667B2 (en) 2012-12-29 2022-08-30 Monolithic 3D Inc. 3D semiconductor device and structure with bonding
US9385058B1 (en) 2012-12-29 2016-07-05 Monolithic 3D Inc. Semiconductor device and structure
US8803206B1 (en) 2012-12-29 2014-08-12 Monolithic 3D Inc. 3D semiconductor device and structure
US11177140B2 (en) 2012-12-29 2021-11-16 Monolithic 3D Inc. 3D semiconductor device and structure
US10115663B2 (en) 2012-12-29 2018-10-30 Monolithic 3D Inc. 3D semiconductor device and structure
US10600657B2 (en) 2012-12-29 2020-03-24 Monolithic 3D Inc 3D semiconductor device and structure
US11004694B1 (en) 2012-12-29 2021-05-11 Monolithic 3D Inc. 3D semiconductor device and structure
US9460991B1 (en) 2012-12-29 2016-10-04 Monolithic 3D Inc. Semiconductor device and structure
US10892169B2 (en) 2012-12-29 2021-01-12 Monolithic 3D Inc. 3D semiconductor device and structure
US10903089B1 (en) 2012-12-29 2021-01-26 Monolithic 3D Inc. 3D semiconductor device and structure
US9911627B1 (en) 2012-12-29 2018-03-06 Monolithic 3D Inc. Method of processing a semiconductor device
US9852919B2 (en) 2013-01-04 2017-12-26 Life Technologies Corporation Methods and systems for point of use removal of sacrificial material
US9080968B2 (en) 2013-01-04 2015-07-14 Life Technologies Corporation Methods and systems for point of use removal of sacrificial material
US10436742B2 (en) 2013-01-08 2019-10-08 Life Technologies Corporation Methods for manufacturing well structures for low-noise chemical sensors
US9841398B2 (en) 2013-01-08 2017-12-12 Life Technologies Corporation Methods for manufacturing well structures for low-noise chemical sensors
EP4417692A2 (en) 2013-01-09 2024-08-21 Illumina Cambridge Limited Sample preparation on a solid support
US10988760B2 (en) 2013-01-09 2021-04-27 Illumina Cambridge Limited Sample preparation on a solid support
WO2014108810A2 (en) 2013-01-09 2014-07-17 Lumina Cambridge Limited Sample preparation on a solid support
US10041066B2 (en) 2013-01-09 2018-08-07 Illumina Cambridge Limited Sample preparation on a solid support
EP3486331A1 (en) 2013-01-09 2019-05-22 Illumina Cambridge Limited Sample preparation on a solid support
US11970695B2 (en) 2013-01-09 2024-04-30 Illumina Cambridge Limited Sample preparation on a solid support
US11591653B2 (en) 2013-01-17 2023-02-28 Personalis, Inc. Methods and systems for genetic analysis
US12084717B2 (en) 2013-01-17 2024-09-10 Personalis, Inc. Methods and systems for genetic analysis
US11976326B2 (en) 2013-01-17 2024-05-07 Personalis, Inc. Methods and systems for genetic analysis
US10451584B2 (en) * 2013-01-17 2019-10-22 Hitachi High-Technologies Corporation Biomolecule measuring device
US20150362458A1 (en) * 2013-01-17 2015-12-17 Hitachi High-Technologies Corporation Biomolecule measuring device
US11649499B2 (en) 2013-01-17 2023-05-16 Personalis, Inc. Methods and systems for genetic analysis
WO2014116851A2 (en) 2013-01-25 2014-07-31 Illumina, Inc. Methods and systems for using a cloud computing environment to share biological related data
US10217156B2 (en) 2013-01-25 2019-02-26 Illumina, Inc. Methods and systems for using a cloud computing environment to share biological related data
US9805407B2 (en) 2013-01-25 2017-10-31 Illumina, Inc. Methods and systems for using a cloud computing environment to configure and sell a biological sample preparation cartridge and share related data
US8962366B2 (en) 2013-01-28 2015-02-24 Life Technologies Corporation Self-aligned well structures for low-noise chemical sensors
US10668444B2 (en) 2013-02-26 2020-06-02 Illumina, Inc. Gel patterned surfaces
EP3603794A1 (en) 2013-02-26 2020-02-05 Illumina, Inc. Gel patterned surfaces
US11173466B2 (en) 2013-02-26 2021-11-16 Illumina, Inc. Gel patterned surfaces
WO2014133905A1 (en) 2013-02-26 2014-09-04 Illumina, Inc. Gel patterned surfaces
EP3834924A1 (en) 2013-02-26 2021-06-16 Illumina Inc Gel patterned surfaces
US9914979B2 (en) 2013-03-04 2018-03-13 Fry Laboratories, LLC Method and kit for characterizing microorganisms
WO2014138153A1 (en) 2013-03-06 2014-09-12 Life Technologies Corporation Systems and methods for determining copy number variation
US11935949B1 (en) 2013-03-11 2024-03-19 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and memory cells
US10964807B2 (en) 2013-03-11 2021-03-30 Monolithic 3D Inc. 3D semiconductor device with memory
US11869965B2 (en) 2013-03-11 2024-01-09 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and memory cells
US8902663B1 (en) 2013-03-11 2014-12-02 Monolithic 3D Inc. Method of maintaining a memory state
US10355121B2 (en) 2013-03-11 2019-07-16 Monolithic 3D Inc. 3D semiconductor device with stacked memory
US11515413B2 (en) 2013-03-11 2022-11-29 Monolithic 3D Inc. 3D semiconductor device and structure with memory
US11004967B1 (en) 2013-03-11 2021-05-11 Monolithic 3D Inc. 3D semiconductor device and structure with memory
US10325651B2 (en) 2013-03-11 2019-06-18 Monolithic 3D Inc. 3D semiconductor device with stacked memory
US9496271B2 (en) 2013-03-11 2016-11-15 Monolithic 3D Inc. 3DIC system with a two stable state memory and back-bias region
US11121246B2 (en) 2013-03-11 2021-09-14 Monolithic 3D Inc. 3D semiconductor device and structure with memory
US12094965B2 (en) 2013-03-11 2024-09-17 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers and memory cells
WO2014159495A1 (en) 2013-03-12 2014-10-02 Life Technologies Corporation Methods and systems for local sequence alignment
US11398569B2 (en) 2013-03-12 2022-07-26 Monolithic 3D Inc. 3D semiconductor device and structure
US8994404B1 (en) 2013-03-12 2015-03-31 Monolithic 3D Inc. Semiconductor device and structure
US12100646B2 (en) 2013-03-12 2024-09-24 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11923374B2 (en) 2013-03-12 2024-03-05 Monolithic 3D Inc. 3D semiconductor device and structure with metal layers
US11110452B2 (en) 2013-03-13 2021-09-07 Illumina, Inc. Multilayer fluidic devices and methods for their fabrication
US8963216B2 (en) 2013-03-13 2015-02-24 Life Technologies Corporation Chemical sensor with sidewall spacer sensor surface
US11319534B2 (en) 2013-03-13 2022-05-03 Illumina, Inc. Methods and compositions for nucleic acid sequencing
US8841217B1 (en) 2013-03-13 2014-09-23 Life Technologies Corporation Chemical sensor with protruded sensor surface
US10557133B2 (en) 2013-03-13 2020-02-11 Illumina, Inc. Methods and compositions for nucleic acid sequencing
US9995708B2 (en) 2013-03-13 2018-06-12 Life Technologies Corporation Chemical sensor with sidewall spacer sensor surface
US10807089B2 (en) 2013-03-13 2020-10-20 Illumina, Inc. Multilayer fluidic devices and methods for their fabrication
US12017214B2 (en) 2013-03-13 2024-06-25 Illumina, Inc. Multilayer fluidic devices and methods for their fabrication
WO2014142841A1 (en) 2013-03-13 2014-09-18 Illumina, Inc. Multilayer fluidic devices and methods for their fabrication
WO2014160117A1 (en) 2013-03-14 2014-10-02 Abbott Molecular Inc. Multiplex methylation-specific amplification systems and methods
WO2014142921A1 (en) 2013-03-14 2014-09-18 Illumina, Inc. Modified polymerases for improved incorporation of nucleotide analogues
US10563240B2 (en) 2013-03-14 2020-02-18 Life Technologies Corporation High efficiency, small volume nucleic acid synthesis
WO2014152937A1 (en) 2013-03-14 2014-09-25 Ibis Biosciences, Inc. Nucleic acid control panels
US11636919B2 (en) 2013-03-14 2023-04-25 Life Technologies Corporation Methods, systems, and computer readable media for evaluating variant likelihood
US8778609B1 (en) 2013-03-14 2014-07-15 Good Start Genetics, Inc. Methods for analyzing nucleic acids
US9701999B2 (en) 2013-03-14 2017-07-11 Abbott Molecular, Inc. Multiplex methylation-specific amplification systems and methods
WO2014151961A1 (en) 2013-03-14 2014-09-25 Life Technologies Corporation Matrix arrays and methods for making same
US9115387B2 (en) 2013-03-14 2015-08-25 Good Start Genetics, Inc. Methods for analyzing nucleic acids
US9677124B2 (en) 2013-03-14 2017-06-13 Good Start Genetics, Inc. Methods for analyzing nucleic acids
US10202637B2 (en) 2013-03-14 2019-02-12 Molecular Loop Biosolutions, Llc Methods for analyzing nucleic acid
EP3249057A1 (en) 2013-03-14 2017-11-29 Life Technologies Corporation Matrix arrays and methods for making same
US9835585B2 (en) 2013-03-15 2017-12-05 Life Technologies Corporation Chemical sensor with protruded sensor surface
US9890425B2 (en) 2013-03-15 2018-02-13 Abbott Molecular Inc. Systems and methods for detection of genomic copy number changes
US10422767B2 (en) 2013-03-15 2019-09-24 Life Technologies Corporation Chemical sensor with consistent sensor surface areas
US9128044B2 (en) 2013-03-15 2015-09-08 Life Technologies Corporation Chemical sensors with consistent sensor surface areas
US10760123B2 (en) 2013-03-15 2020-09-01 Nugen Technologies, Inc. Sequential sequencing
WO2014149778A1 (en) 2013-03-15 2014-09-25 Life Technologies Corporation Chemical sensors with consistent sensor surface areas
US10570449B2 (en) 2013-03-15 2020-02-25 Genapsys, Inc. Systems and methods for biological analysis
US9116117B2 (en) 2013-03-15 2015-08-25 Life Technologies Corporation Chemical sensor with sidewall sensor surface
EP3388442A1 (en) 2013-03-15 2018-10-17 Illumina Cambridge Limited Modified nucleosides or nucleotides
US9823217B2 (en) 2013-03-15 2017-11-21 Life Technologies Corporation Chemical device with thin conductive element
US9809852B2 (en) 2013-03-15 2017-11-07 Genapsys, Inc. Systems and methods for biological analysis
US9340835B2 (en) 2013-03-15 2016-05-17 Boreal Genomics Corp. Method for separating homoduplexed and heteroduplexed nucleic acids
US10481124B2 (en) 2013-03-15 2019-11-19 Life Technologies Corporation Chemical device with thin conductive element
US10619206B2 (en) 2013-03-15 2020-04-14 Tecan Genomics Sequential sequencing
EP3533884A1 (en) 2013-03-15 2019-09-04 Ibis Biosciences, Inc. Dna sequences to assess contamination in dna sequencing
US20140274732A1 (en) * 2013-03-15 2014-09-18 Pacific Biosciences Of California, Inc. Methods and compositions for nucleic acid sequencing using electronic sensing elements
US9822408B2 (en) 2013-03-15 2017-11-21 Nugen Technologies, Inc. Sequential sequencing
US10224279B2 (en) 2013-03-15 2019-03-05 Monolithic 3D Inc. Semiconductor device and structure
US9671363B2 (en) 2013-03-15 2017-06-06 Life Technologies Corporation Chemical sensor with consistent sensor surface areas
US9117749B1 (en) 2013-03-15 2015-08-25 Monolithic 3D Inc. Semiconductor device and structure
US10629019B2 (en) 2013-04-02 2020-04-21 Avigilon Analytics Corporation Self-provisioning access control
US11270055B1 (en) 2013-04-15 2022-03-08 Monolithic 3D Inc. Automation for monolithic 3D devices
US11030371B2 (en) 2013-04-15 2021-06-08 Monolithic 3D Inc. Automation for monolithic 3D devices
US10127344B2 (en) 2013-04-15 2018-11-13 Monolithic 3D Inc. Automation for monolithic 3D devices
US11720736B2 (en) 2013-04-15 2023-08-08 Monolithic 3D Inc. Automation methods for 3D integrated circuits and devices
US11341309B1 (en) 2013-04-15 2022-05-24 Monolithic 3D Inc. Automation for monolithic 3D devices
US11487928B2 (en) 2013-04-15 2022-11-01 Monolithic 3D Inc. Automation for monolithic 3D devices
US11574109B1 (en) 2013-04-15 2023-02-07 Monolithic 3D Inc Automation methods for 3D integrated circuits and devices
US20140348707A1 (en) * 2013-04-21 2014-11-27 Oliver KING SMITH Ion sensitive device and method of fabrication
US9869657B2 (en) * 2013-04-21 2018-01-16 Elemental Sensor Llc Ion sensitive device and method of fabrication
US10620155B2 (en) 2013-04-30 2020-04-14 The University Of Tokyo Biosensor and molecular identification member
US10655175B2 (en) * 2013-05-09 2020-05-19 Life Technologies Corporation Windowed sequencing
US10100357B2 (en) 2013-05-09 2018-10-16 Life Technologies Corporation Windowed sequencing
US11028438B2 (en) * 2013-05-09 2021-06-08 Life Technologies Corporation Windowed sequencing
US10706017B2 (en) 2013-06-03 2020-07-07 Good Start Genetics, Inc. Methods and systems for storing sequence read data
US9535920B2 (en) 2013-06-03 2017-01-03 Good Start Genetics, Inc. Methods and systems for storing sequence read data
US10816504B2 (en) * 2013-06-10 2020-10-27 Life Technologies Corporation Chemical sensor array having multiple sensors per well
US11774401B2 (en) * 2013-06-10 2023-10-03 Life Technologies Corporation Chemical sensor array having multiple sensors per well
CN110873750A (en) * 2013-06-10 2020-03-10 生命科技公司 Chemical sensor array with multiple sensors per well
US20210140918A1 (en) * 2013-06-10 2021-05-13 Life Technologies Corporation Chemical Sensor Array Having Multiple Sensors Per Well
US11499938B2 (en) * 2013-06-10 2022-11-15 Life Technologies Corporation Chemical sensor array having multiple sensors per well
US20200057021A1 (en) * 2013-06-10 2020-02-20 Life Technologies Corporation Chemical sensor array having multiple sensors per well
US20230125333A1 (en) * 2013-06-10 2023-04-27 Life Technologies Corporation Chemical Sensor Array Having Multiple Sensors Per Well
EP4130730A1 (en) 2013-06-10 2023-02-08 Life Technologies Corporation Chemical sensor array having multiple sensors per well
US10458942B2 (en) 2013-06-10 2019-10-29 Life Technologies Corporation Chemical sensor array having multiple sensors per well
US20140364320A1 (en) * 2013-06-10 2014-12-11 Life Technologies Corporation Chemical Sensor Array Having Multiple Sensors Per Well
WO2014200775A1 (en) 2013-06-10 2014-12-18 Life Technologies Corporation Chemical sensor array having multiple sensors per well
US11821024B2 (en) 2013-06-25 2023-11-21 Prognosys Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
US11359228B2 (en) 2013-06-25 2022-06-14 Prognosys Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
US11753674B2 (en) 2013-06-25 2023-09-12 Prognosys Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
US11046996B1 (en) 2013-06-25 2021-06-29 Prognosys Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
US10927403B2 (en) 2013-06-25 2021-02-23 Prognosys Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
US10774372B2 (en) 2013-06-25 2020-09-15 Prognosy s Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
US11618918B2 (en) 2013-06-25 2023-04-04 Prognosys Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
US11286515B2 (en) 2013-06-25 2022-03-29 Prognosys Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
EP3431614A1 (en) 2013-07-01 2019-01-23 Illumina, Inc. Catalyst-free surface functionalization and polymer grafting
US10526650B2 (en) 2013-07-01 2020-01-07 Adaptive Biotechnologies Corporation Method for genotyping clonotype profiles using sequence tags
US9994687B2 (en) 2013-07-01 2018-06-12 Illumina, Inc. Catalyst-free surface functionalization and polymer grafting
WO2015002908A1 (en) 2013-07-01 2015-01-08 Sequenta, Inc. Large-scale biomolecular analysis with sequence tags
EP3919624A2 (en) 2013-07-01 2021-12-08 Illumina, Inc. Catalyst-free surface functionalization and polymer grafting
EP3486327A1 (en) 2013-07-01 2019-05-22 Adaptive Biotechnologies Corporation Large-scale biomolecular analysis with sequence tags
US11618808B2 (en) 2013-07-01 2023-04-04 Illumina, Inc. Catalyst-free surface functionalization and polymer grafting
US10975210B2 (en) 2013-07-01 2021-04-13 Illumina, Inc. Catalyst-free surface functionalization and polymer grafting
WO2015002813A1 (en) 2013-07-01 2015-01-08 Illumina, Inc. Catalyst-free surface functionalization and polymer grafting
US10077473B2 (en) 2013-07-01 2018-09-18 Adaptive Biotechnologies Corp. Method for genotyping clonotype profiles using sequence tags
US9708657B2 (en) 2013-07-01 2017-07-18 Adaptive Biotechnologies Corp. Method for generating clonotype profiles using sequence tags
WO2015002789A1 (en) 2013-07-03 2015-01-08 Illumina, Inc. Sequencing by orthogonal synthesis
US9193999B2 (en) 2013-07-03 2015-11-24 Illumina, Inc. Sequencing by orthogonal synthesis
EP3241913A1 (en) 2013-07-03 2017-11-08 Illumina, Inc. System for sequencing by orthogonal synthesis
US9574235B2 (en) 2013-07-03 2017-02-21 Illumina, Inc. Sequencing by orthogonal synthesis
US10760125B2 (en) 2013-07-26 2020-09-01 Life Technologies Corporation Control nucleic acid sequences for use in sequencing-by-synthesis and methods for designing the same
US12098424B2 (en) 2013-07-26 2024-09-24 Life Technologies Corporation Control nucleic acid sequences for use in sequencing-by-synthesis and methods for designing the same
US9926597B2 (en) 2013-07-26 2018-03-27 Life Technologies Corporation Control nucleic acid sequences for use in sequencing-by-synthesis and methods for designing the same
US11156581B2 (en) * 2013-08-08 2021-10-26 The University Of Tokyo Biosensor
EP3626866A1 (en) 2013-08-19 2020-03-25 Abbott Molecular Inc. Next-generation sequencing libraries
US10036013B2 (en) 2013-08-19 2018-07-31 Abbott Molecular Inc. Next-generation sequencing libraries
EP3879012A1 (en) 2013-08-19 2021-09-15 Abbott Molecular Inc. Next-generation sequencing libraries
US10865410B2 (en) 2013-08-19 2020-12-15 Abbott Molecular Inc. Next-generation sequencing libraries
US9904763B2 (en) 2013-08-21 2018-02-27 Seven Bridges Genomics Inc. Methods and systems for detecting sequence variants
US9116866B2 (en) 2013-08-21 2015-08-25 Seven Bridges Genomics Inc. Methods and systems for detecting sequence variants
US9898575B2 (en) 2013-08-21 2018-02-20 Seven Bridges Genomics Inc. Methods and systems for aligning sequences
US9390226B2 (en) 2013-08-21 2016-07-12 Seven Bridges Genomics Inc. Methods and systems for detecting sequence variants
EP3702472A1 (en) 2013-08-21 2020-09-02 Seven Bridges Genomics Inc. Methods and systems for aligning sequences
EP3965111A1 (en) 2013-08-30 2022-03-09 Personalis, Inc. Methods and systems for genomic analysis
US9727692B2 (en) 2013-08-30 2017-08-08 Personalis, Inc. Methods and systems for genomic analysis
WO2015031849A1 (en) 2013-08-30 2015-03-05 Illumina, Inc. Manipulation of droplets on hydrophilic or variegated-hydrophilic surfaces
US10032000B1 (en) 2013-08-30 2018-07-24 Personalis, Inc. Methods and systems for genomic analysis
US11456058B2 (en) 2013-08-30 2022-09-27 Personalis, Inc. Methods and systems for genomic analysis
US11935625B2 (en) 2013-08-30 2024-03-19 Personalis, Inc. Methods and systems for genomic analysis
WO2015031689A1 (en) 2013-08-30 2015-03-05 Personalis, Inc. Methods and systems for genomic analysis
US9183496B2 (en) 2013-08-30 2015-11-10 Personalis, Inc. Methods and systems for genomic analysis
WO2015048753A1 (en) 2013-09-30 2015-04-02 Seven Bridges Genomics Inc. Methods and system for detecting sequence variants
EP4219739A2 (en) 2013-09-30 2023-08-02 Life Technologies Corporation Polymerase compositions, methods of making and using same
US11640405B2 (en) 2013-10-03 2023-05-02 Personalis, Inc. Methods for analyzing genotypes
US11636922B2 (en) 2013-10-04 2023-04-25 Life Technologies Corporation Methods and systems for modeling phasing effects in sequencing using termination chemistry
US11901041B2 (en) 2013-10-04 2024-02-13 Bio-Rad Laboratories, Inc. Digital analysis of nucleic acid modification
US10410739B2 (en) 2013-10-04 2019-09-10 Life Technologies Corporation Methods and systems for modeling phasing effects in sequencing using termination chemistry
EP3875601A1 (en) 2013-10-17 2021-09-08 Illumina, Inc. Methods and compositions for preparing nucleic acid libraries
US10988797B2 (en) 2013-10-17 2021-04-27 Illumina, Inc. Methods and compositions for preparing nucleic acid libraries
EP3572527A1 (en) 2013-10-17 2019-11-27 Illumina, Inc. Methods and compositions for preparing nucleic acid libraries
US10683532B2 (en) 2013-10-17 2020-06-16 Illumina, Inc. Methods and compositions for preparing nucleic acid libraries
US11512340B2 (en) 2013-10-17 2022-11-29 Illumina, Inc. Methods and compositions for preparing nucleic acid libraries
US10294511B2 (en) 2013-10-17 2019-05-21 Illumina, Inc. Methods and compositions for preparing nucleic acid libraries
EP3680347A1 (en) 2013-10-18 2020-07-15 Seven Bridges Genomics Inc. Methods and systems for identifying disease-induced mutations
US11041203B2 (en) 2013-10-18 2021-06-22 Molecular Loop Biosolutions, Inc. Methods for assessing a genomic region of a subject
US10851414B2 (en) 2013-10-18 2020-12-01 Good Start Genetics, Inc. Methods for determining carrier status
WO2015057635A1 (en) 2013-10-18 2015-04-23 The Regents Of The University Of Michigan Systems and methods for determining a treatment course of action
US10078724B2 (en) 2013-10-18 2018-09-18 Seven Bridges Genomics Inc. Methods and systems for genotyping genetic samples
US12077822B2 (en) 2013-10-18 2024-09-03 Molecular Loop Biosciences, Inc. Methods for determining carrier status
US11447828B2 (en) 2013-10-18 2022-09-20 Seven Bridges Genomics Inc. Methods and systems for detecting sequence variants
WO2015058097A1 (en) 2013-10-18 2015-04-23 Seven Bridges Genomics Inc. Methods and systems for identifying disease-induced mutations
US10832797B2 (en) 2013-10-18 2020-11-10 Seven Bridges Genomics Inc. Method and system for quantifying sequence alignment
US11049587B2 (en) 2013-10-18 2021-06-29 Seven Bridges Genomics Inc. Methods and systems for aligning sequences in the presence of repeating elements
US10053736B2 (en) 2013-10-18 2018-08-21 Seven Bridges Genomics Inc. Methods and systems for identifying disease-induced mutations
US10055539B2 (en) 2013-10-21 2018-08-21 Seven Bridges Genomics Inc. Systems and methods for using paired-end data in directed acyclic structure
US11724265B2 (en) 2013-11-11 2023-08-15 Life Technologies Corporation Rotor plate and bucket assembly and method for using same
US10940490B2 (en) 2013-11-11 2021-03-09 Life Technologies Corporation Rotor plate and bucket assembly and method for using same
US10144015B2 (en) 2013-11-11 2018-12-04 Life Technologies Corporation Rotor plate and bucket assembly and method for using same
US11725241B2 (en) 2013-11-13 2023-08-15 Tecan Genomics, Inc. Compositions and methods for identification of a duplicate sequencing read
US11098357B2 (en) 2013-11-13 2021-08-24 Tecan Genomics, Inc. Compositions and methods for identification of a duplicate sequencing read
US10570448B2 (en) 2013-11-13 2020-02-25 Tecan Genomics Compositions and methods for identification of a duplicate sequencing read
US10989723B2 (en) 2013-11-18 2021-04-27 IntegenX, Inc. Cartridges and instruments for sample analysis
US10191071B2 (en) 2013-11-18 2019-01-29 IntegenX, Inc. Cartridges and instruments for sample analysis
US10060916B2 (en) 2013-11-21 2018-08-28 Avails Medical, Inc. Electrical biosensor for detecting a substance in a bodily fluid, and method and system for same
US11834718B2 (en) 2013-11-25 2023-12-05 The Broad Institute, Inc. Compositions and methods for diagnosing, evaluating and treating cancer by means of the DNA methylation status
US10801070B2 (en) 2013-11-25 2020-10-13 The Broad Institute, Inc. Compositions and methods for diagnosing, evaluating and treating cancer
US11725237B2 (en) 2013-12-05 2023-08-15 The Broad Institute Inc. Polymorphic gene typing and somatic change detection using sequencing data
WO2015088913A1 (en) 2013-12-09 2015-06-18 Illumina, Inc. Methods and compositions for targeted nucleic acid sequencing
US9476853B2 (en) 2013-12-10 2016-10-25 Life Technologies Corporation System and method for forming microwells
US10125393B2 (en) 2013-12-11 2018-11-13 Genapsys, Inc. Systems and methods for biological analysis and computation
US11174509B2 (en) 2013-12-12 2021-11-16 Bio-Rad Laboratories, Inc. Distinguishing rare variations in a nucleic acid sequence from a sample
WO2015095355A2 (en) 2013-12-17 2015-06-25 The Brigham And Women's Hospital, Inc. Detection of an antibody against a pathogen
US11452768B2 (en) 2013-12-20 2022-09-27 The Broad Institute, Inc. Combination therapy with neoantigen vaccine
WO2015095226A2 (en) 2013-12-20 2015-06-25 Illumina, Inc. Preserving genomic connectivity information in fragmented genomic dna samples
US10246746B2 (en) 2013-12-20 2019-04-02 Illumina, Inc. Preserving genomic connectivity information in fragmented genomic DNA samples
US11149310B2 (en) 2013-12-20 2021-10-19 Illumina, Inc. Preserving genomic connectivity information in fragmented genomic DNA samples
EP3957750A1 (en) 2013-12-20 2022-02-23 Illumina, Inc. Preserving genomic connectivity information in fragmented genomic dna samples
US11193176B2 (en) 2013-12-31 2021-12-07 Bio-Rad Laboratories, Inc. Method for detecting and quantifying latent retroviral RNA species
WO2015103367A1 (en) 2013-12-31 2015-07-09 Raindance Technologies, Inc. System and method for detection of rna species
US10867693B2 (en) 2014-01-10 2020-12-15 Seven Bridges Genomics Inc. Systems and methods for use of known alleles in read mapping
WO2015105963A1 (en) 2014-01-10 2015-07-16 Seven Bridges Genomics Inc. Systems and methods for use of known alleles in read mapping
WO2015106941A1 (en) 2014-01-16 2015-07-23 Illumina Cambridge Limited Polynucleotide modification on solid support
WO2015107430A2 (en) 2014-01-16 2015-07-23 Oslo Universitetssykehus Hf Methods and biomarkers for detection and prognosis of cervical cancer
US10865444B2 (en) 2014-01-16 2020-12-15 Illumina, Inc. Amplicon preparation and sequencing on solid supports
WO2015108663A1 (en) 2014-01-16 2015-07-23 Illumina, Inc. Amplicon preparation and sequencing on solid supports
US11107808B1 (en) 2014-01-28 2021-08-31 Monolithic 3D Inc. 3D semiconductor device and structure
US12094829B2 (en) 2014-01-28 2024-09-17 Monolithic 3D Inc. 3D semiconductor device and structure
US11088130B2 (en) 2014-01-28 2021-08-10 Monolithic 3D Inc. 3D semiconductor device and structure
US11031394B1 (en) 2014-01-28 2021-06-08 Monolithic 3D Inc. 3D semiconductor device and structure
WO2015113725A1 (en) 2014-02-03 2015-08-06 Thermo Fisher Scientific Baltics Uab Method for controlled dna fragmentation
US9817944B2 (en) 2014-02-11 2017-11-14 Seven Bridges Genomics Inc. Systems and methods for analyzing sequence data
WO2015123444A2 (en) 2014-02-13 2015-08-20 Illumina, Inc. Integrated consumer genomic services
EP3910069A1 (en) 2014-02-18 2021-11-17 Illumina, Inc. Methods and composition for dna profiling
US9745614B2 (en) 2014-02-28 2017-08-29 Nugen Technologies, Inc. Reduced representation bisulfite sequencing with diversity adaptors
US11248253B2 (en) 2014-03-05 2022-02-15 Adaptive Biotechnologies Corporation Methods using randomer-containing synthetic molecules
US11174513B2 (en) 2014-03-11 2021-11-16 Illumina, Inc. Disposable, integrated microfluidic cartridge and methods of making and using same
EP3698874A1 (en) 2014-03-11 2020-08-26 Illumina, Inc. Disposable, integrated microfluidic cartridge and methods of making the same
US10767219B2 (en) 2014-03-11 2020-09-08 Illumina, Inc. Disposable, integrated microfluidic cartridge and methods of making and using same
US10435745B2 (en) 2014-04-01 2019-10-08 Adaptive Biotechnologies Corp. Determining antigen-specific T-cells
EP3674415A1 (en) 2014-04-01 2020-07-01 Adaptive Biotechnologies Corp. Determining antigen-specific t-cells and b-cells
US11390921B2 (en) 2014-04-01 2022-07-19 Adaptive Biotechnologies Corporation Determining WT-1 specific T cells and WT-1 specific T cell receptors (TCRs)
US11261490B2 (en) 2014-04-01 2022-03-01 Adaptive Biotechnologies Corporation Determining antigen-specific T-cells
US10066265B2 (en) 2014-04-01 2018-09-04 Adaptive Biotechnologies Corp. Determining antigen-specific t-cells
US9822401B2 (en) 2014-04-18 2017-11-21 Genapsys, Inc. Methods and systems for nucleic acid amplification
US11332778B2 (en) 2014-04-18 2022-05-17 Genapsys, Inc. Methods and systems for nucleic acid amplification
US10533218B2 (en) 2014-04-18 2020-01-14 Genapsys, Inc. Methods and systems for nucleic acid amplification
WO2015175530A1 (en) 2014-05-12 2015-11-19 Gore Athurva Methods for detecting aneuploidy
US11053548B2 (en) 2014-05-12 2021-07-06 Good Start Genetics, Inc. Methods for detecting aneuploidy
WO2015175691A1 (en) 2014-05-13 2015-11-19 Life Technologies Corporation Systems and methods for validation of sequencing results
US9957551B2 (en) 2014-05-13 2018-05-01 Life Technologies Corporation Systems and methods for validation of sequencing results
US11021734B2 (en) 2014-05-13 2021-06-01 Life Technologies Corporation Systems and methods for validation of sequencing results
EP3146075A4 (en) * 2014-05-19 2017-12-06 The Trustees of Columbia University in the City of New York Ion sensor dna and rna sequencing by synthesis using nucleotide reversible terminators
US10208332B2 (en) 2014-05-21 2019-02-19 Integenx Inc. Fluidic cartridge with valve mechanism
US10961561B2 (en) 2014-05-21 2021-03-30 IntegenX, Inc. Fluidic cartridge with valve mechanism
US11891650B2 (en) 2014-05-21 2024-02-06 IntegenX, Inc. Fluid cartridge with valve mechanism
US11590494B2 (en) 2014-05-27 2023-02-28 Illumina, Inc. Systems and methods for biochemical analysis including a base instrument and a removable cartridge
WO2015183871A1 (en) 2014-05-27 2015-12-03 Illumina, Inc. Systems and methods for biochemical analysis including a base instrument and a removable cartridge
US10254242B2 (en) 2014-06-04 2019-04-09 Life Technologies Corporation Methods, systems, and computer-readable media for compression of sequencing data
US20150355129A1 (en) * 2014-06-05 2015-12-10 Avails Medical, Inc. Systems and methods for detecting substances in bodily fluids
EP4039815A1 (en) 2014-06-09 2022-08-10 Illumina Cambridge Limited Sample preparation for nucleic acid amplification
EP3699289A1 (en) 2014-06-09 2020-08-26 Illumina Cambridge Limited Sample preparation for nucleic acid amplification
US10443087B2 (en) 2014-06-13 2019-10-15 Illumina Cambridge Limited Methods and compositions for preparing sequencing libraries
US11299765B2 (en) 2014-06-13 2022-04-12 Illumina Cambridge Limited Methods and compositions for preparing sequencing libraries
WO2015191815A1 (en) 2014-06-13 2015-12-17 Life Technologies Corporation Multiplex nucleic acid amplification
WO2015200541A1 (en) 2014-06-24 2015-12-30 Bio-Rad Laboratories, Inc. Digital pcr barcoding
US11155809B2 (en) 2014-06-24 2021-10-26 Bio-Rad Laboratories, Inc. Digital PCR barcoding
US11085041B2 (en) 2014-06-26 2021-08-10 Illumina, Inc. Library preparation of tagged nucleic acid
EP3754020A1 (en) 2014-06-26 2020-12-23 Illumina, Inc. Library preparation of tagged nucleic acid using single tube add-on protocol
WO2015200609A1 (en) 2014-06-26 2015-12-30 Illumina, Inc. Library preparation of tagged nucleic acid using single tube add-on protocol
EP3594684A1 (en) 2014-06-27 2020-01-15 Abbott Laboratories Compositions and methods for detecting human pegivirus 2 (hpgv-2)
US9938589B2 (en) 2014-06-27 2018-04-10 Abbott Laboratories Compositions and methods for detecting human pegivirus 2 (HPgV-2)
US10501816B2 (en) 2014-06-27 2019-12-10 Abbott Laboratories Compositions and methods for detecting human pegivirus 2 (HPgV-2)
US9777340B2 (en) 2014-06-27 2017-10-03 Abbott Laboratories Compositions and methods for detecting human Pegivirus 2 (HPgV-2)
EP3702471A1 (en) 2014-06-27 2020-09-02 Illumina, Inc. Modified polymerases for improved incorporation of nucleotide analogues
WO2015200693A1 (en) 2014-06-27 2015-12-30 Illumina, Inc. Modified polymerases for improved incorporation of nucleotide analogues
US10577603B2 (en) 2014-06-30 2020-03-03 Illumina, Inc. Methods and compositions using one-sided transposition
US11965158B2 (en) 2014-06-30 2024-04-23 Illumina, Inc. Methods and compositions using one-sided transposition
US10968448B2 (en) 2014-06-30 2021-04-06 Illumina, Inc. Methods and compositions using one-sided transposition
WO2016003814A1 (en) 2014-06-30 2016-01-07 Illumina, Inc. Methods and compositions using one-sided transposition
EP3626834A1 (en) 2014-07-15 2020-03-25 Qiagen Sciences, LLC Semi-random barcodes for nucleic acid analysis
US10208350B2 (en) 2014-07-17 2019-02-19 Celmatix Inc. Methods and systems for assessing infertility and related pathologies
WO2016014409A1 (en) 2014-07-21 2016-01-28 Illumina, Inc. Polynucleotide enrichment using crispr-cas systems
US10975446B2 (en) 2014-07-24 2021-04-13 Abbott Molecular Inc. Compositions and methods for the detection and analysis of Mycobacterium tuberculosis
US11932911B2 (en) 2014-07-24 2024-03-19 Abbott Molecular, Inc. Compositions and methods for the detection and analysis of Mycobacterium tuberculosis
EP3564252A1 (en) 2014-08-08 2019-11-06 Illumina Cambridge Limited Modified nucleotide linkers
WO2016026924A1 (en) 2014-08-21 2016-02-25 Illumina Cambridge Limited Reversible surface functionalization
US9982250B2 (en) 2014-08-21 2018-05-29 Illumina Cambridge Limited Reversible surface functionalization
US11199540B2 (en) 2014-08-21 2021-12-14 Illumina Cambridge Limited Reversible surface functionalization
US10684281B2 (en) 2014-08-21 2020-06-16 Illumina Cambridge Limited Reversible surface functionalization
US10840239B2 (en) 2014-08-26 2020-11-17 Monolithic 3D Inc. 3D semiconductor device and structure
US11549145B2 (en) 2014-09-05 2023-01-10 Population Bio, Inc. Methods and compositions for inhibiting and treating neurological conditions
US10724096B2 (en) 2014-09-05 2020-07-28 Population Bio, Inc. Methods and compositions for inhibiting and treating neurological conditions
US11408024B2 (en) 2014-09-10 2022-08-09 Molecular Loop Biosciences, Inc. Methods for selectively suppressing non-target sequences
WO2016040602A1 (en) 2014-09-11 2016-03-17 Epicentre Technologies Corporation Reduced representation bisulfite sequencing using uracil n-glycosylase (ung) and endonuclease iv
EP4246138A2 (en) 2014-09-15 2023-09-20 Life Technologies Corporation Apparatus and method for fluid potential artifact correction in reagent delivery systems comprising a sensor array
US10416112B2 (en) 2014-09-15 2019-09-17 Life Technologies Corporation Apparatuses, methods, systems, and computer-readable media for fluid potential artifact correction in reagent delivery systems
US11169111B2 (en) 2014-09-15 2021-11-09 Life Technologies Corporation Apparatuses, methods, systems, and computer-readable media for fluid potential artifact correction in reagent delivery systems
WO2016044141A1 (en) 2014-09-15 2016-03-24 Life Technologies Corporation Apparatuses, methods, systems, and computer-readable media for fluid potential artifact correction in reagent delivery systems
US11719607B2 (en) 2014-09-17 2023-08-08 Hologic, Inc. Method of partial lysis and assay
US10859475B2 (en) 2014-09-17 2020-12-08 Hologic, Inc. Method of partial lysis and assay
US9810610B2 (en) 2014-09-17 2017-11-07 Hologic, Inc. Method of partial lysis and assay
US10429399B2 (en) 2014-09-24 2019-10-01 Good Start Genetics, Inc. Process control for increased robustness of genetic assays
WO2016054096A1 (en) 2014-09-30 2016-04-07 Illumina, Inc. Modified polymerases for improved incorporation of nucleotide analogues
US10487357B2 (en) 2014-10-03 2019-11-26 Life Technologies Corporation Methods of nucleic acid analysis using terminator nucleotides
US10544455B2 (en) 2014-10-03 2020-01-28 Life Technologies Corporation Sequencing methods, compositions and systems using terminator nucleotides
US11094398B2 (en) 2014-10-10 2021-08-17 Life Technologies Corporation Methods for calculating corrected amplicon coverages
WO2016057902A1 (en) 2014-10-10 2016-04-14 Life Technologies Corporation Methods, systems, and computer-readable media for calculating corrected amplicon coverages
WO2016060974A1 (en) 2014-10-13 2016-04-21 Life Technologies Corporation Methods, systems, and computer-readable media for accelerated base calling
US10676787B2 (en) 2014-10-13 2020-06-09 Life Technologies Corporation Methods, systems, and computer-readable media for accelerated base calling
US10083064B2 (en) 2014-10-14 2018-09-25 Seven Bridges Genomics Inc. Systems and methods for smart tools in sequence pipelines
US9558321B2 (en) 2014-10-14 2017-01-31 Seven Bridges Genomics Inc. Systems and methods for smart tools in sequence pipelines
WO2016061484A2 (en) 2014-10-16 2016-04-21 Illumina, Inc. Optical scanning systems for in situ genetic analysis
EP3835429A1 (en) 2014-10-17 2021-06-16 Good Start Genetics, Inc. Pre-implantation genetic screening and aneuploidy detection
US11873480B2 (en) 2014-10-17 2024-01-16 Illumina Cambridge Limited Contiguity preserving transposition
US12099032B2 (en) 2014-10-22 2024-09-24 IntegenX, Inc. Systems and methods for sample preparation, processing and analysis
US10690627B2 (en) 2014-10-22 2020-06-23 IntegenX, Inc. Systems and methods for sample preparation, processing and analysis
US10392663B2 (en) 2014-10-29 2019-08-27 Adaptive Biotechnologies Corp. Highly-multiplexed simultaneous detection of nucleic acids encoding paired adaptive immune receptor heterodimers from a large number of samples
US11649507B2 (en) 2014-10-30 2023-05-16 Personalis, Inc. Methods for using mosaicism in nucleic acids sampled distal to their origin
US11753686B2 (en) 2014-10-30 2023-09-12 Personalis, Inc. Methods for using mosaicism in nucleic acids sampled distal to their origin
US11965214B2 (en) 2014-10-30 2024-04-23 Personalis, Inc. Methods for using mosaicism in nucleic acids sampled distal to their origin
US11584968B2 (en) 2014-10-30 2023-02-21 Personalis, Inc. Methods for using mosaicism in nucleic acids sampled distal to their origin
US10577439B2 (en) 2014-10-31 2020-03-03 Illumina Cambridge Limited Polymers and DNA copolymer coatings
EP3970849A1 (en) 2014-10-31 2022-03-23 Illumina Cambridge Limited Polymers and dna copolymer coatings
EP3632944A1 (en) 2014-10-31 2020-04-08 Illumina Cambridge Limited Polymers and dna copolymer coatings
US9815916B2 (en) 2014-10-31 2017-11-14 Illumina Cambridge Limited Polymers and DNA copolymer coatings
US10208142B2 (en) 2014-10-31 2019-02-19 Illumnia Cambridge Limited Polymers and DNA copolymer coatings
US10829813B2 (en) 2014-11-04 2020-11-10 Boreal Genomics, Inc. Methods of sequencing with linked fragments
US11827930B2 (en) 2014-11-04 2023-11-28 Ncan Genomics, Inc. Methods of sequencing with linked fragments
US10000799B2 (en) 2014-11-04 2018-06-19 Boreal Genomics, Inc. Methods of sequencing with linked fragments
EP3974538A1 (en) 2014-11-05 2022-03-30 Illumina Cambridge Limited Sequencing from multiple primers to increase data rate and density
US11555218B2 (en) 2014-11-05 2023-01-17 Illumina Cambridge Limited Sequencing from multiple primers to increase data rate and density
WO2016073237A1 (en) 2014-11-05 2016-05-12 Illumina Cambridge Limited Reducing dna damage during sample preparation and sequencing using siderophore chelators
US10619204B2 (en) 2014-11-11 2020-04-14 Illumina Cambridge Limited Methods and arrays for producing and sequencing monoclonal clusters of nucleic acid
US10577649B2 (en) 2014-11-11 2020-03-03 Illumina, Inc. Polynucleotide amplification using CRISPR-Cas systems
US11692223B2 (en) 2014-11-11 2023-07-04 Illumina Cambridge Limited Methods and arrays for producing and sequencing monoclonal clusters of nucleic acid
US12065695B2 (en) 2014-11-11 2024-08-20 Illumina, Inc. Polynucleotide amplification using CRISPR-Cas systems
US10246701B2 (en) 2014-11-14 2019-04-02 Adaptive Biotechnologies Corp. Multiplexed digital quantitation of rearranged lymphoid receptors in a complex mixture
US9970437B2 (en) 2014-11-25 2018-05-15 Genia Technologies, Inc. Two-way pump selectable valve and bypass waste channel
US9885352B2 (en) 2014-11-25 2018-02-06 Genia Technologies, Inc. Selectable valve of a delivery system
US10837440B2 (en) 2014-11-25 2020-11-17 Roche Sequencing Solutions, Inc. Two-way pump selectable valve and bypass waste channel
US11066705B2 (en) 2014-11-25 2021-07-20 Adaptive Biotechnologies Corporation Characterization of adaptive immune response to vaccination or infection using immune repertoire sequencing
WO2016090266A1 (en) 2014-12-05 2016-06-09 Amyris, Inc. High-throughput sequencing of polynucleotides
US10407676B2 (en) 2014-12-09 2019-09-10 Life Technologies Corporation High efficiency, small volume nucleic acid synthesis
EP3557262A1 (en) 2014-12-09 2019-10-23 Life Technologies Corporation High efficiency, small volume nucleic acid synthesis
WO2016100196A1 (en) 2014-12-15 2016-06-23 Illumina, Inc. Compositions and methods for single molecular placement on a substrate
EP3882356A1 (en) 2014-12-15 2021-09-22 Illumina, Inc. Compositions and methods for single molecular placement on a substrate
US10960377B2 (en) 2014-12-15 2021-03-30 Illumina, Inc. Compositions and methods for single molecular placement on a substrate
US10350570B2 (en) 2014-12-15 2019-07-16 Illumina, Inc. Compositions and methods for single molecular placement on a substrate
WO2016100438A2 (en) 2014-12-16 2016-06-23 Life Technologies Corporation Polymerase compositions and methods of making and using same
EP3795681A2 (en) 2014-12-16 2021-03-24 Life Technologies Corporation Polymerase compositions and methods of making and using same
EP4354131A2 (en) 2014-12-18 2024-04-17 Life Technologies Corporation High data rate integrated circuit with transmitter configuration
US11536688B2 (en) 2014-12-18 2022-12-27 Life Technologies Corporation High data rate integrated circuit with transmitter configuration
US10077472B2 (en) 2014-12-18 2018-09-18 Life Technologies Corporation High data rate integrated circuit with power management
US10605767B2 (en) 2014-12-18 2020-03-31 Life Technologies Corporation High data rate integrated circuit with transmitter configuration
WO2016100895A1 (en) 2014-12-18 2016-06-23 Life Technologies Corporation Calibration panels and methods for designing the same
WO2016100467A1 (en) 2014-12-18 2016-06-23 Life Technologies Corporation High data rate integrated circuit with power management
US10379079B2 (en) 2014-12-18 2019-08-13 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
US10767224B2 (en) 2014-12-18 2020-09-08 Life Technologies Corporation High data rate integrated circuit with power management
US10993997B2 (en) 2014-12-19 2021-05-04 The Broad Institute, Inc. Methods for profiling the t cell repertoire
US11939637B2 (en) 2014-12-19 2024-03-26 Massachusetts Institute Of Technology Molecular biomarkers for cancer immunotherapy
US10975442B2 (en) 2014-12-19 2021-04-13 Massachusetts Institute Of Technology Molecular biomarkers for cancer immunotherapy
US11680284B2 (en) 2015-01-06 2023-06-20 Moledular Loop Biosciences, Inc. Screening for structural variants
US10066259B2 (en) 2015-01-06 2018-09-04 Good Start Genetics, Inc. Screening for structural variants
EP3763825A1 (en) 2015-01-23 2021-01-13 Qiagen Sciences, LLC High multiplex pcr with molecular barcoding
WO2016118719A1 (en) 2015-01-23 2016-07-28 Qiagen Sciences, Llc High multiplex pcr with molecular barcoding
US10208339B2 (en) 2015-02-19 2019-02-19 Takara Bio Usa, Inc. Systems and methods for whole genome amplification
EP3822361A1 (en) 2015-02-20 2021-05-19 Takara Bio USA, Inc. Method for rapid accurate dispensing, visualization and analysis of single cells
US10641772B2 (en) 2015-02-20 2020-05-05 Takara Bio Usa, Inc. Method for rapid accurate dispensing, visualization and analysis of single cells
US11047008B2 (en) 2015-02-24 2021-06-29 Adaptive Biotechnologies Corporation Methods for diagnosing infectious disease and determining HLA status using immune repertoire sequencing
US10192026B2 (en) 2015-03-05 2019-01-29 Seven Bridges Genomics Inc. Systems and methods for genomic pattern analysis
US10297586B2 (en) 2015-03-09 2019-05-21 Monolithic 3D Inc. Methods for processing a 3D semiconductor device
WO2016149261A1 (en) 2015-03-16 2016-09-22 Personal Genome Diagnostics, Inc. Systems and methods for analyzing nucleic acid
US10576471B2 (en) 2015-03-20 2020-03-03 Illumina, Inc. Fluidics cartridge for use in the vertical or substantially vertical position
WO2016153999A1 (en) 2015-03-25 2016-09-29 Life Technologies Corporation Modified nucleotides and uses thereof
US12123056B2 (en) 2015-03-31 2024-10-22 Illumina Cambridge Limited Surface concatemerization of templates
EP3783109A1 (en) 2015-03-31 2021-02-24 Illumina Cambridge Limited Surface concatamerization of templates
US11041202B2 (en) 2015-04-01 2021-06-22 Adaptive Biotechnologies Corporation Method of identifying human compatible T cell receptors specific for an antigenic target
US11162132B2 (en) 2015-04-10 2021-11-02 Spatial Transcriptomics Ab Spatially distinguished, multiplex nucleic acid analysis of biological specimens
US10774374B2 (en) 2015-04-10 2020-09-15 Spatial Transcriptomics AB and Illumina, Inc. Spatially distinguished, multiplex nucleic acid analysis of biological specimens
EP4151748A1 (en) 2015-04-10 2023-03-22 Spatial Transcriptomics AB Spatially distinguished, multiplex nucleic acid analysis of biological specimens
EP4119677A1 (en) 2015-04-10 2023-01-18 Spatial Transcriptomics AB Spatially distinguished, multiplex nucleic acid analysis of biological specimens
EP4282977A2 (en) 2015-04-10 2023-11-29 10x Genomics Sweden AB Spatially distinguished, multiplex nucleic acid analysis of biological specimens
EP3901282A1 (en) 2015-04-10 2021-10-27 Spatial Transcriptomics AB Spatially distinguished, multiplex nucleic acid analysis of biological specimens
US11739372B2 (en) 2015-04-10 2023-08-29 Spatial Transcriptomics Ab Spatially distinguished, multiplex nucleic acid analysis of biological specimens
EP3530752A1 (en) 2015-04-10 2019-08-28 Spatial Transcriptomics AB Spatially distinguished, multiplex nucleic acid analysis of biological specimens
EP3901281A1 (en) 2015-04-10 2021-10-27 Spatial Transcriptomics AB Spatially distinguished, multiplex nucleic acid analysis of biological specimens
WO2016162309A1 (en) 2015-04-10 2016-10-13 Spatial Transcriptomics Ab Spatially distinguished, multiplex nucleic acid analysis of biological specimens
US11299774B2 (en) 2015-04-10 2022-04-12 Spatial Transcriptomics Ab Spatially distinguished, multiplex nucleic acid analysis of biological specimens
EP4321627A2 (en) 2015-04-10 2024-02-14 10x Genomics Sweden AB Spatially distinguished, multiplex nucleic acid analysis of biological specimens
US11390912B2 (en) 2015-04-10 2022-07-19 Spatial Transcriptomics Ab Spatially distinguished, multiplex nucleic acid analysis of biological specimens
US11613773B2 (en) 2015-04-10 2023-03-28 Spatial Transcriptomics Ab Spatially distinguished, multiplex nucleic acid analysis of biological specimens
US12050196B2 (en) 2015-04-13 2024-07-30 Life Technologies Corporation Apparatuses, methods, systems, and computer-readable media for fluid potential artifact correction in reagent delivery systems
US10825779B2 (en) 2015-04-19 2020-11-03 Monolithic 3D Inc. 3D semiconductor device and structure
US11011507B1 (en) 2015-04-19 2021-05-18 Monolithic 3D Inc. 3D semiconductor device and structure
US11056468B1 (en) 2015-04-19 2021-07-06 Monolithic 3D Inc. 3D semiconductor device and structure
US10381328B2 (en) 2015-04-19 2019-08-13 Monolithic 3D Inc. Semiconductor device and structure
EP3822365A1 (en) 2015-05-11 2021-05-19 Illumina, Inc. Platform for discovery and analysis of therapeutic agents
EP3760737A2 (en) 2015-05-11 2021-01-06 Illumina, Inc. Platform for discovery and analysis of therapeutic agents
WO2016183029A1 (en) 2015-05-11 2016-11-17 Illumina, Inc. Platform for discovery and analysis of therapeutic agents
EP4190912A1 (en) 2015-05-11 2023-06-07 Illumina, Inc. Platform for discovery and analysis of therapeutic agents
EP4220645A2 (en) 2015-05-14 2023-08-02 Life Technologies Corporation Barcode sequences, and related systems and methods
US10978174B2 (en) 2015-05-14 2021-04-13 Life Technologies Corporation Barcode sequences, and related systems and methods
US10835585B2 (en) 2015-05-20 2020-11-17 The Broad Institute, Inc. Shared neoantigens
US10275567B2 (en) 2015-05-22 2019-04-30 Seven Bridges Genomics Inc. Systems and methods for haplotyping
US10590464B2 (en) 2015-05-29 2020-03-17 Illumina Cambridge Limited Enhanced utilization of surface primers in clusters
WO2016196358A1 (en) 2015-05-29 2016-12-08 Epicentre Technologies Corporation Methods of analyzing nucleic acids
EP3653728A1 (en) 2015-06-09 2020-05-20 Life Technologies Corporation Methods, systems, compositions, kits, apparatus and computer-readable media for molecular tagging
US10676790B2 (en) 2015-07-02 2020-06-09 Life Technologies Corporation Conjugation of carboxyl functional hydrophilic beads
US10144968B2 (en) 2015-07-02 2018-12-04 Life Technologies Corporation Conjugation of carboxyl functional hydrophilic beads
US10150992B2 (en) 2015-07-06 2018-12-11 Life Technologies Corporation Substrates and methods useful in sequencing
EP3878974A1 (en) 2015-07-06 2021-09-15 Illumina Cambridge Limited Sample preparation for nucleic acid amplification
US10941439B2 (en) 2015-07-06 2021-03-09 Life Technologies Corporation Substrates and methods useful in sequencing
US10808282B2 (en) 2015-07-07 2020-10-20 Illumina, Inc. Selective surface patterning via nanoimprinting
US12110547B2 (en) 2015-07-07 2024-10-08 Illumina, Inc. Selective surface patterning via nanoimprinting
US11225693B2 (en) 2015-07-14 2022-01-18 Abbott Molecular Inc. Compositions and methods for identifying drug resistant tuberculosis
US11015187B2 (en) 2015-07-14 2021-05-25 Abbott Molecular Inc. Purification of nucleic acids using copper-titanium oxides
US10526664B2 (en) 2015-07-14 2020-01-07 Abbott Molecular Inc. Compositions and methods for identifying drug resistant tuberculosis
US11608496B2 (en) 2015-07-14 2023-03-21 Abbott Molecular Inc. Purification of nucleic acids using copper-titanium oxides
US10392613B2 (en) 2015-07-14 2019-08-27 Abbott Molecular Inc. Purification of nucleic acids using copper-titanium oxides
US10526596B2 (en) 2015-07-14 2020-01-07 Abbott Molecular Inc. Purification of nucleic acids using metal-titanium oxides
EP3988658A1 (en) 2015-07-14 2022-04-27 Abbott Molecular Inc. Purification of nucleic acids using copper-titanium oxides
WO2017015018A1 (en) 2015-07-17 2017-01-26 Illumina, Inc. Polymer sheets for sequencing applications
US10870111B2 (en) 2015-07-22 2020-12-22 The University Of North Carolina At Chapel Hill Fluidic devices with bead well geometries with spatially separated bead retention and signal detection segments and related methods
US10618301B2 (en) * 2015-07-24 2020-04-14 Hewlett-Packard Development Company, L.P. Semiconductor device including capacitive sensor and ion-sensitive transistor for determining level and ion-concentration of fluid
US20180290457A1 (en) * 2015-07-24 2018-10-11 Hewlett-Packard Development Company, L.P. Sensing a property and level of a fluid
EP3957747A1 (en) 2015-07-27 2022-02-23 Illumina, Inc. Spatial mapping of nucleic acid sequence information
WO2017019456A2 (en) 2015-07-27 2017-02-02 Illumina, Inc. Spatial mapping of nucleic acid sequence information
WO2017019278A1 (en) 2015-07-30 2017-02-02 Illumina, Inc. Orthogonal deblocking of nucleotides
WO2017024017A1 (en) * 2015-08-06 2017-02-09 Pacific Biosciences Of California, Inc. Systems and methods for selectively addressing sparsely arranged electronic measurement devices
US11773437B2 (en) 2015-08-06 2023-10-03 Pacific Biosciences Of California, Inc. Systems and methods for selectively addressing sparsely arranged electronic measurement devices
US10190158B2 (en) 2015-08-06 2019-01-29 Pacific Biosciences Of California, Inc. Systems and methods for selectively addressing sparsely arranged electronic measurement devices
EP3854884A1 (en) 2015-08-14 2021-07-28 Illumina, Inc. Systems and methods using magnetically-responsive sensors for determining a genetic characteristic
US11512348B2 (en) 2015-08-14 2022-11-29 Illumina, Inc. Systems and methods using magnetically-responsive sensors for determining a genetic characteristic
US11956952B2 (en) 2015-08-23 2024-04-09 Monolithic 3D Inc. Semiconductor memory device and structure
US10793895B2 (en) 2015-08-24 2020-10-06 Seven Bridges Genomics Inc. Systems and methods for epigenetic analysis
US11697835B2 (en) 2015-08-24 2023-07-11 Seven Bridges Genomics Inc. Systems and methods for epigenetic analysis
US10883135B2 (en) 2015-08-25 2021-01-05 Avails Medical, Inc. Devices, systems and methods for detecting viable infectious agents in a fluid sample
US11649495B2 (en) 2015-09-01 2023-05-16 Seven Bridges Genomics Inc. Systems and methods for mitochondrial analysis
US10724110B2 (en) 2015-09-01 2020-07-28 Seven Bridges Genomics Inc. Systems and methods for analyzing viral nucleic acids
US11702708B2 (en) 2015-09-01 2023-07-18 Seven Bridges Genomics Inc. Systems and methods for analyzing viral nucleic acids
US10584380B2 (en) 2015-09-01 2020-03-10 Seven Bridges Genomics Inc. Systems and methods for mitochondrial analysis
US10906044B2 (en) 2015-09-02 2021-02-02 Illumina Cambridge Limited Methods of improving droplet operations in fluidic systems with a filler fluid including a surface regenerative silane
US10647981B1 (en) 2015-09-08 2020-05-12 Bio-Rad Laboratories, Inc. Nucleic acid library generation methods and compositions
US12100658B2 (en) 2015-09-21 2024-09-24 Monolithic 3D Inc. Method to produce a 3D multilayer semiconductor device and structure
US11978731B2 (en) 2015-09-21 2024-05-07 Monolithic 3D Inc. Method to produce a multi-level semiconductor memory device and structure
US10515981B2 (en) 2015-09-21 2019-12-24 Monolithic 3D Inc. Multilevel semiconductor device and structure with memory
EP4141126A1 (en) 2015-10-01 2023-03-01 Life Technologies Corporation Polymerase compositions and kits, and methods of using and making the same
WO2017058810A2 (en) 2015-10-01 2017-04-06 Life Technologies Corporation Polymerase compositions and kits, and methods of using and making the same
US11866740B2 (en) 2015-10-01 2024-01-09 Life Technologies Corporation Polymerase compositions and kits, and methods of using and making the same
US10522225B1 (en) 2015-10-02 2019-12-31 Monolithic 3D Inc. Semiconductor device with non-volatile memory
EP3940083A1 (en) 2015-10-07 2022-01-19 Illumina, Inc. Off-target capture reduction in sequencing techniques
EP4446431A2 (en) 2015-10-16 2024-10-16 Qiagen Sciences, LLC Methods and kits for highly multiplex single primer extension
US11347704B2 (en) 2015-10-16 2022-05-31 Seven Bridges Genomics Inc. Biological graph or sequence serialization
US11991884B1 (en) 2015-10-24 2024-05-21 Monolithic 3D Inc. 3D semiconductor device and structure with logic and memory
US11296115B1 (en) 2015-10-24 2022-04-05 Monolithic 3D Inc. 3D semiconductor device and structure
US12120880B1 (en) 2015-10-24 2024-10-15 Monolithic 3D Inc. 3D semiconductor device and structure with logic and memory
US11114464B2 (en) 2015-10-24 2021-09-07 Monolithic 3D Inc. 3D semiconductor device and structure
US12016181B2 (en) 2015-10-24 2024-06-18 Monolithic 3D Inc. 3D semiconductor device and structure with logic and memory
US10418369B2 (en) 2015-10-24 2019-09-17 Monolithic 3D Inc. Multi-level semiconductor memory device and structure
US12035531B2 (en) 2015-10-24 2024-07-09 Monolithic 3D Inc. 3D semiconductor device and structure with logic and memory
US10847540B2 (en) 2015-10-24 2020-11-24 Monolithic 3D Inc. 3D semiconductor memory device and structure
US9541521B1 (en) * 2015-10-30 2017-01-10 Nxp Usa, Inc. Enhanced sensitivity ion sensing devices
US11959838B2 (en) 2015-11-06 2024-04-16 Ventana Medical Systems, Inc. Representative diagnostics
US11114427B2 (en) 2015-11-07 2021-09-07 Monolithic 3D Inc. 3D semiconductor processor and memory device and structure
US11937422B2 (en) 2015-11-07 2024-03-19 Monolithic 3D Inc. Semiconductor memory device and structure
US11208649B2 (en) 2015-12-07 2021-12-28 Zymergen Inc. HTP genomic engineering platform
WO2017100377A1 (en) 2015-12-07 2017-06-15 Zymergen, Inc. Microbial strain improvement by a htp genomic engineering platform
US10047358B1 (en) 2015-12-07 2018-08-14 Zymergen Inc. Microbial strain improvement by a HTP genomic engineering platform
US10883101B2 (en) 2015-12-07 2021-01-05 Zymergen Inc. Automated system for HTP genomic engineering
US11155807B2 (en) 2015-12-07 2021-10-26 Zymergen Inc. Automated system for HTP genomic engineering
US9988624B2 (en) 2015-12-07 2018-06-05 Zymergen Inc. Microbial strain improvement by a HTP genomic engineering platform
US11352621B2 (en) 2015-12-07 2022-06-07 Zymergen Inc. HTP genomic engineering platform
US10457933B2 (en) 2015-12-07 2019-10-29 Zymergen Inc. Microbial strain improvement by a HTP genomic engineering platform
US10745694B2 (en) 2015-12-07 2020-08-18 Zymergen Inc. Automated system for HTP genomic engineering
US11312951B2 (en) 2015-12-07 2022-04-26 Zymergen Inc. Systems and methods for host cell improvement utilizing epistatic effects
US10336998B2 (en) 2015-12-07 2019-07-02 Zymergen Inc. Microbial strain improvement by a HTP genomic engineering platform
US11155808B2 (en) 2015-12-07 2021-10-26 Zymergen Inc. HTP genomic engineering platform
EP3858996A1 (en) 2015-12-07 2021-08-04 Zymergen, Inc. Microbial strain improvement by a htp genomic engineering platform
US10647980B2 (en) 2015-12-07 2020-05-12 Zymergen Inc. Microbial strain improvement by a HTP genomic engineering platform
US11293029B2 (en) 2015-12-07 2022-04-05 Zymergen Inc. Promoters from Corynebacterium glutamicum
US10968445B2 (en) 2015-12-07 2021-04-06 Zymergen Inc. HTP genomic engineering platform
US11085040B2 (en) 2015-12-07 2021-08-10 Zymergen Inc. Systems and methods for host cell improvement utilizing epistatic effects
US10808243B2 (en) 2015-12-07 2020-10-20 Zymergen Inc. Microbial strain improvement by a HTP genomic engineering platform
EP3798321A1 (en) 2015-12-17 2021-03-31 Illumina, Inc. Distinguishing methylation levels in complex biological samples
US11319593B2 (en) 2015-12-17 2022-05-03 Illumina, Inc. Distinguishing methylation levels in complex biological samples
US11810648B2 (en) 2016-01-07 2023-11-07 Seven Bridges Genomics Inc. Systems and methods for adaptive local alignment for graph genomes
WO2017120531A1 (en) 2016-01-08 2017-07-13 Bio-Rad Laboratories, Inc. Multiple beads per droplet resolution
US11560598B2 (en) 2016-01-13 2023-01-24 Seven Bridges Genomics Inc. Systems and methods for analyzing circulating tumor DNA
US10364468B2 (en) 2016-01-13 2019-07-30 Seven Bridges Genomics Inc. Systems and methods for analyzing circulating tumor DNA
US10460829B2 (en) 2016-01-26 2019-10-29 Seven Bridges Genomics Inc. Systems and methods for encoding genetic variation for a population
US10626390B2 (en) 2016-02-08 2020-04-21 RGENE, Inc. Multiple ligase compositions, systems, and methods
EP3848457A1 (en) 2016-02-08 2021-07-14 Rgene, Inc. Multiple ligase compositions, systems, and methods
WO2017139260A1 (en) 2016-02-08 2017-08-17 RGENE, Inc. Multiple ligase compositions, systems, and methods
US11124789B2 (en) 2016-02-08 2021-09-21 RGENE, Inc. Multiple ligase compositions, systems, and methods
WO2017147124A1 (en) 2016-02-24 2017-08-31 Seven Bridges Genomics Inc. Systems and methods for genotyping with graph reference
US10262102B2 (en) 2016-02-24 2019-04-16 Seven Bridges Genomics Inc. Systems and methods for genotyping with graph reference
WO2017160788A2 (en) 2016-03-14 2017-09-21 RGENE, Inc. HYPER-THERMOSTABLE LYSINE-MUTANT ssDNA/RNA LIGASES
WO2017165289A1 (en) 2016-03-25 2017-09-28 Qiagen Sciences, Llc Primers with self-complementary sequences for multiple displacement amplification
EP3998351A1 (en) 2016-03-25 2022-05-18 Qiagen Sciences, LLC Primers with self-complementary sequences for multiple displacement amplification
WO2017168332A1 (en) 2016-03-28 2017-10-05 Boreal Genomics, Inc. Linked duplex target capture
US10961573B2 (en) 2016-03-28 2021-03-30 Boreal Genomics, Inc. Linked duplex target capture
US11021742B2 (en) 2016-03-28 2021-06-01 Boreal Genomics, Inc. Linked-fragment sequencing
US10801059B2 (en) 2016-03-28 2020-10-13 Boreal Genomics, Inc. Droplet-based linked-fragment sequencing
US10961568B2 (en) 2016-03-28 2021-03-30 Boreal Genomics, Inc. Linked target capture
EP4282974A2 (en) 2016-03-28 2023-11-29 Ncan Genomics, Inc. Linked duplex target capture
US11905556B2 (en) 2016-03-28 2024-02-20 Ncan Genomics, Inc. Linked target capture
WO2017177017A1 (en) 2016-04-07 2017-10-12 Omniome, Inc. Methods of quantifying target nucleic acids and identifying sequence variants
WO2017180420A1 (en) 2016-04-11 2017-10-19 Board Of Regents, The University Of Texas System Methods and compositions for detecting single t cell receptor affinity and sequence
US11208692B2 (en) 2016-05-06 2021-12-28 Life Technologies Corporation Combinatorial barcode sequences, and related systems and methods
US10619205B2 (en) 2016-05-06 2020-04-14 Life Technologies Corporation Combinatorial barcode sequences, and related systems and methods
WO2017196676A1 (en) 2016-05-10 2017-11-16 Life Technologies Corporation Metal chelation post incorporation detection methods
EP4269611A2 (en) 2016-05-11 2023-11-01 Illumina, Inc. Polynucleotide enrichment and amplification using argonaute systems
EP3656873A2 (en) 2016-05-11 2020-05-27 Illumina, Inc. Polynucleotide enrichment and amplification using argonaute systems
WO2017197027A1 (en) 2016-05-11 2017-11-16 Illumina, Inc. Polynucleotide enrichment and amplification using argonaute systems
US11542544B2 (en) 2016-05-11 2023-01-03 Illumina, Inc. Polynucleotide enrichment and amplification using CRISPR-Cas or Argonaute systems
WO2017201315A1 (en) 2016-05-18 2017-11-23 Roche Sequencing Solutions, Inc. Quantitative real time pcr amplification using an electrowetting-based device
US11643685B2 (en) 2016-05-27 2023-05-09 Personalis, Inc. Methods and systems for genetic analysis
US11952625B2 (en) 2016-05-27 2024-04-09 Personalis, Inc. Methods and systems for genetic analysis
US11913058B2 (en) 2016-05-31 2024-02-27 Avails Medical, Inc. Devices, systems and methods to detect viable infectious agents in a fluid sample and susceptibility of infectious agents to anti-infectives
US11021732B2 (en) 2016-05-31 2021-06-01 Avails Medical, Inc. Devices, systems and methods to detect viable infectious agents in a fluid sample and susceptibility of infectious agents to anti-infectives
US11867699B2 (en) 2016-06-10 2024-01-09 The University Of Queensland Detecting an analyte
CN109564218A (en) * 2016-06-10 2019-04-02 昆士兰大学 Detecting analytes
US11624064B2 (en) 2016-06-13 2023-04-11 Grail, Llc Enrichment of mutated cell free nucleic acids for cancer detection
US10544390B2 (en) 2016-06-30 2020-01-28 Zymergen Inc. Methods for generating a bacterial hemoglobin library and uses thereof
US10544411B2 (en) 2016-06-30 2020-01-28 Zymergen Inc. Methods for generating a glucose permease library and uses thereof
US10571426B2 (en) * 2016-07-07 2020-02-25 Sharp Life Science (Eu) Limited Bio-sensor pixel circuit with amplification
US11091795B2 (en) 2016-07-11 2021-08-17 Arizona Board Of Regents On Behalf Of The University Of Arizona Compositions and methods for diagnosing and treating arrhythmias
WO2018013558A1 (en) 2016-07-12 2018-01-18 Life Technologies Corporation Compositions and methods for detecting nucleic acid regions
WO2018013598A1 (en) 2016-07-12 2018-01-18 Qiagen Sciences, Llc Single end duplex dna sequencing
EP4180539A1 (en) 2016-07-12 2023-05-17 Qiagen Sciences, LLC Single end duplex dna sequencing
EP3875603A1 (en) 2016-07-12 2021-09-08 Life Technologies Corporation Compositions and methods for detecting nucleic acid regions
US10544456B2 (en) 2016-07-20 2020-01-28 Genapsys, Inc. Systems and methods for nucleic acid sequencing
US11460405B2 (en) 2016-07-21 2022-10-04 Takara Bio Usa, Inc. Multi-Z imaging and dispensing with multi-well devices
US11535883B2 (en) 2016-07-22 2022-12-27 Illumina, Inc. Single cell whole genome libraries and combinatorial indexing methods of making thereof
WO2018018008A1 (en) 2016-07-22 2018-01-25 Oregon Health & Science University Single cell whole genome libraries and combinatorial indexing methods of making thereof
EP3904514A1 (en) 2016-07-22 2021-11-03 Oregon Health & Science University Single cell whole genome libraries and combinatorial indexing methods of making thereof
WO2018042251A1 (en) 2016-08-29 2018-03-08 Oslo Universitetssykehus Hf Chip-seq assays
US11250931B2 (en) 2016-09-01 2022-02-15 Seven Bridges Genomics Inc. Systems and methods for detecting recombination
US10428325B1 (en) 2016-09-21 2019-10-01 Adaptive Biotechnologies Corporation Identification of antigen-specific B cell receptors
WO2018057770A1 (en) 2016-09-22 2018-03-29 Illumina, Inc. Somatic copy number variation detection
WO2018057928A1 (en) 2016-09-23 2018-03-29 Grail, Inc. Methods of preparing and analyzing cell-free nucleic acid sequencing libraries
EP4361287A2 (en) 2016-09-28 2024-05-01 Life Technologies Corporation Methods for sequencing nucleic acids using termination chemistry
WO2018064311A2 (en) 2016-09-28 2018-04-05 Life Technologies Corporation Methods and systems for reducing phasing errors when sequencing nucleic acids using termination chemistry
US11530352B2 (en) 2016-10-03 2022-12-20 Illumina, Inc. Fluorescent detection of amines and hydrazines and assaying methods thereof
US12060508B2 (en) 2016-10-03 2024-08-13 Illumina, Inc. Fluorescent detection of amines and hydrazines and assaying methods thereof
US11812620B2 (en) 2016-10-10 2023-11-07 Monolithic 3D Inc. 3D DRAM memory devices and structures with control circuits
US11329059B1 (en) 2016-10-10 2022-05-10 Monolithic 3D Inc. 3D memory devices and structures with thinned single crystal substrates
US11711928B2 (en) 2016-10-10 2023-07-25 Monolithic 3D Inc. 3D memory devices and structures with control circuits
US11930648B1 (en) 2016-10-10 2024-03-12 Monolithic 3D Inc. 3D memory devices and structures with metal layers
US11869591B2 (en) 2016-10-10 2024-01-09 Monolithic 3D Inc. 3D memory devices and structures with control circuits
US11251149B2 (en) 2016-10-10 2022-02-15 Monolithic 3D Inc. 3D memory device and structure
WO2018071522A1 (en) 2016-10-11 2018-04-19 Life Technologies Corporation Rapid amplification of nucleic acids
WO2018085862A2 (en) 2016-11-07 2018-05-11 Grail, Inc. Methods of identifying somatic mutational signatures for early cancer detection
EP4421185A2 (en) 2016-11-17 2024-08-28 10x Genomics Sweden AB Method for spatial tagging and analysing nucleic acids in a biological specimen
EP3916108A1 (en) 2016-11-17 2021-12-01 Spatial Transcriptomics AB Method for spatial tagging and analysing nucleic acids in a biological specimen
EP4148145A1 (en) 2016-11-17 2023-03-15 Spatial Transcriptomics AB Method for spatial tagging and analysing nucleic acids in a biological specimen
US10431662B2 (en) * 2016-12-07 2019-10-01 Tsinghua University Thin film transistor and method for making the same
US20180158921A1 (en) * 2016-12-07 2018-06-07 Tsinghua University Thin film transistor and method for making the same
US11268137B2 (en) 2016-12-09 2022-03-08 Boreal Genomics, Inc. Linked ligation
US11879151B2 (en) 2016-12-09 2024-01-23 Ncan Genomics, Inc. Linked ligation
WO2018111872A1 (en) 2016-12-12 2018-06-21 Grail, Inc. Methods for tagging and amplifying rna template molecules for preparing sequencing libraries
EP4357455A2 (en) 2016-12-12 2024-04-24 Grail, LLC Methods for tagging and amplifying rna template molecules for preparing sequencing libraries
WO2018118971A1 (en) 2016-12-19 2018-06-28 Bio-Rad Laboratories, Inc. Droplet tagging contiguity preserved tagmented dna
WO2018119399A1 (en) 2016-12-23 2018-06-28 Grail, Inc. Methods for high efficiency library preparation using double-stranded adapters
US10982351B2 (en) 2016-12-23 2021-04-20 Grail, Inc. Methods for high efficiency library preparation using double-stranded adapters
EP4112741A1 (en) 2017-01-04 2023-01-04 MGI Tech Co., Ltd. Stepwise sequencing by non-labeled reversible terminators or natural nucleotides
WO2018129214A1 (en) 2017-01-04 2018-07-12 Complete Genomics, Inc. Stepwise sequencing by non-labeled reversible terminators or natural nucleotides
US10808277B2 (en) 2017-01-05 2020-10-20 Illumina, Inc. Kinetic exclusion amplification of nucleic acid libraries
US11661627B2 (en) 2017-01-05 2023-05-30 Illumina, Inc. Kinetic exclusion amplification of nucleic acid libraries
WO2018128777A1 (en) 2017-01-05 2018-07-12 Illumina, Inc. Kinetic exclusion amplification of nucleic acid libraries
US11150179B2 (en) 2017-01-06 2021-10-19 Illumina, Inc. Phasing correction
WO2018129314A1 (en) 2017-01-06 2018-07-12 Illumina, Inc. Phasing correction
WO2018136416A1 (en) 2017-01-17 2018-07-26 Illumina, Inc. Oncogenic splice variant determination
WO2018136117A1 (en) 2017-01-20 2018-07-26 Omniome, Inc. Allele-specific capture of nucleic acids
WO2018136118A1 (en) 2017-01-20 2018-07-26 Omniome, Inc. Genotyping by polymerase binding
WO2018140391A1 (en) 2017-01-24 2018-08-02 The Broad Institute, Inc. Compositions and methods for detecting a mutant variant of a polynucleotide
US11549149B2 (en) 2017-01-24 2023-01-10 The Broad Institute, Inc. Compositions and methods for detecting a mutant variant of a polynucleotide
US10240205B2 (en) 2017-02-03 2019-03-26 Population Bio, Inc. Methods for assessing risk of developing a viral disease using a genetic test
US10563264B2 (en) 2017-02-03 2020-02-18 Pml Screening, Llc Methods for assessing risk of developing a viral disease using a genetic test
US10544463B2 (en) 2017-02-03 2020-01-28 Pml Screening, Llc Methods for assessing risk of developing a viral disease using a genetic test
US11913073B2 (en) 2017-02-03 2024-02-27 Pml Screening, Llc Methods for assessing risk of developing a viral disease using a genetic test
US10941448B1 (en) 2017-02-03 2021-03-09 The Universite Paris-Saclay Methods for assessing risk of developing a viral disease using a genetic test
WO2018152162A1 (en) 2017-02-15 2018-08-23 Omniome, Inc. Distinguishing sequences by detecting polymerase dissociation
US10920219B2 (en) 2017-02-21 2021-02-16 Illumina, Inc. Tagmentation using immobilized transposomes with linkers
US11708573B2 (en) 2017-02-21 2023-07-25 Illumina, Inc. Tagmentation using immobilized transposomes with linkers
WO2018156519A1 (en) 2017-02-21 2018-08-30 Illumina Inc. Tagmentation using immobilized transposomes with linkers
WO2018175798A1 (en) 2017-03-24 2018-09-27 Life Technologies Corporation Polynucleotide adapters and methods of use thereof
WO2018175399A1 (en) 2017-03-24 2018-09-27 Bio-Rad Laboratories, Inc. Universal hairpin primers
EP4053294A1 (en) 2017-03-24 2022-09-07 Life Technologies Corporation Polynucleotide adapters and methods of use thereof
WO2018183918A1 (en) 2017-03-30 2018-10-04 Grail, Inc. Enhanced ligation in sequencing library preparation
US11274344B2 (en) 2017-03-30 2022-03-15 Grail, Inc. Enhanced ligation in sequencing library preparation
US11118222B2 (en) 2017-03-31 2021-09-14 Grail, Inc. Higher target capture efficiency using probe extension
WO2018183942A1 (en) 2017-03-31 2018-10-04 Grail, Inc. Improved library preparation and use thereof for sequencing-based error correction and/or variant identification
WO2018183897A1 (en) 2017-03-31 2018-10-04 Grail, Inc. Higher target capture efficiency using probe extension
US11584958B2 (en) 2017-03-31 2023-02-21 Grail, Llc Library preparation and use thereof for sequencing based error correction and/or variant identification
US10737267B2 (en) 2017-04-04 2020-08-11 Omniome, Inc. Fluidic apparatus and methods useful for chemical and biological reactions
US11504711B2 (en) 2017-04-04 2022-11-22 Pacific Biosciences Of California, Inc. Fluidic apparatus and methods useful for chemical and biological reactions
WO2018197945A1 (en) 2017-04-23 2018-11-01 Illumina Cambridge Limited Compositions and methods for improving sample identification in indexed nucleic acid libraries
EP3913053A1 (en) 2017-04-23 2021-11-24 Illumina Cambridge Limited Compositions and methods for improving sample identification in indexed nucleic acid libraries
WO2018213796A1 (en) 2017-05-19 2018-11-22 Zymergen Inc. Genomic engineering of biosynthetic pathways leading to increased nadph
US11519012B2 (en) 2017-05-19 2022-12-06 Zymergen Inc. Genomic engineering of biosynthetic pathways leading to increased NADPH
US20200362397A1 (en) * 2017-05-31 2020-11-19 Centrillion Technology Holdings Corporation Oligonucleotide probe array with electronic detection system
WO2018226810A1 (en) 2017-06-06 2018-12-13 Zymergen Inc. High throughput transposon mutagenesis
WO2018226900A2 (en) 2017-06-06 2018-12-13 Zymergen Inc. A htp genomic engineering platform for improving fungal strains
EP3878961A1 (en) 2017-06-06 2021-09-15 Zymergen, Inc. A htp genomic engineering platform for improving escherichia coli
WO2018226893A2 (en) 2017-06-06 2018-12-13 Zymergen Inc. A high-throughput (htp) genomic engineering platform for improving saccharopolyspora spinosa
WO2018226880A1 (en) 2017-06-06 2018-12-13 Zymergen Inc. A htp genomic engineering platform for improving escherichia coli
WO2018226708A1 (en) 2017-06-07 2018-12-13 Oregon Health & Science University Single cell whole genome libraries for methylation sequencing
EP4293122A2 (en) 2017-06-07 2023-12-20 Oregon Health & Science University Single cell whole genome libraries for methylation sequencing
EP3981884A1 (en) 2017-06-07 2022-04-13 Oregon Health & Science University Single cell whole genome libraries for methylation sequencing
EP4414704A2 (en) 2017-06-08 2024-08-14 The Brigham and Women's Hospital, Inc. Methods and compositions for identifying epitopes
WO2018227091A1 (en) 2017-06-08 2018-12-13 The Brigham And Women's Hospital, Inc. Methods and compositions for identifying epitopes
WO2018231818A1 (en) 2017-06-16 2018-12-20 Life Technologies Corporation Control nucleic acids, and compositions, kits, and uses thereof
US11542540B2 (en) 2017-06-16 2023-01-03 Life Technologies Corporation Control nucleic acids, and compositions, kits, and uses thereof
WO2018236918A1 (en) 2017-06-20 2018-12-27 Bio-Rad Laboratories, Inc. Mda using bead oligonucleotide
WO2018236631A1 (en) 2017-06-20 2018-12-27 Illumina, Inc. Methods and compositions for addressing inefficiencies in amplification reactions
US20180368744A1 (en) * 2017-06-26 2018-12-27 International Business Machines Corporation Urine catheter ph sensor
US11385200B2 (en) 2017-06-27 2022-07-12 Avails Medical, Inc. Apparatus, systems, and methods for determining susceptibility of microorganisms to anti-infectives
WO2019027767A1 (en) 2017-07-31 2019-02-07 Illumina Inc. Sequencing system with multiplexed biological sample aggregation
WO2019028047A1 (en) 2017-08-01 2019-02-07 Illumina, Inc Spatial indexing of genetic material and library preparation using hydrogel beads and flow cells
WO2019028166A1 (en) 2017-08-01 2019-02-07 Illumina, Inc. Hydrogel beads for nucleotide sequencing
US11352668B2 (en) 2017-08-01 2022-06-07 Illumina, Inc. Spatial indexing of genetic material and library preparation using hydrogel beads and flow cells
EP4446437A2 (en) 2017-08-01 2024-10-16 Illumina, Inc. Spatial indexing of genetic material and library preparation using hydrogel beads and flow cells
EP4289967A2 (en) 2017-08-01 2023-12-13 Illumina, Inc. Spatial indexing of genetic material and library preparation using hydrogel beads and flow cells
US11649498B2 (en) 2017-08-01 2023-05-16 Illumina, Inc. Spatial indexing of genetic material and library preparation using hydrogel beads and flow cells
WO2019035897A1 (en) 2017-08-15 2019-02-21 Omniome, Inc. Scanning apparatus and methods useful for detection of chemical and biological analytes
US10501796B2 (en) 2017-08-15 2019-12-10 Omniome, Inc. Scanning apparatus and methods useful for detection of chemical and biological analytes
US10858701B2 (en) 2017-08-15 2020-12-08 Omniome, Inc. Scanning apparatus and method useful for detection of chemical and biological analytes
US10858703B2 (en) 2017-08-15 2020-12-08 Omniome, Inc. Scanning apparatus and methods useful for detection of chemical and biological analytes
WO2019055819A1 (en) 2017-09-14 2019-03-21 Grail, Inc. Methods for preparing a sequencing library from single-stranded dna
US10900075B2 (en) 2017-09-21 2021-01-26 Genapsys, Inc. Systems and methods for nucleic acid sequencing
US11851650B2 (en) 2017-09-28 2023-12-26 Grail, Llc Enrichment of short nucleic acid fragments in sequencing library preparation
EP4269583A2 (en) 2017-09-28 2023-11-01 Grail, LLC Enrichment of short nucleic acid fragments in sequencing library preparation
EP4026915A1 (en) 2017-09-28 2022-07-13 Grail, LLC Enrichment of short nucleic acid fragments in sequencing library preparation
WO2019067973A1 (en) 2017-09-28 2019-04-04 Grail, Inc. Enrichment of short nucleic acid fragments in sequencing library preparation
US11655494B2 (en) 2017-10-03 2023-05-23 Avails Medical, Inc. Apparatus, systems, and methods for determining the concentration of microorganisms and the susceptibility of microorganisms to anti-infectives based on redox reactions
US11598780B2 (en) 2017-10-06 2023-03-07 The University Of Chicago Engineering lymphocytes with specific alpha and beta chains on their t-cell receptor
US11099202B2 (en) 2017-10-20 2021-08-24 Tecan Genomics, Inc. Reagent delivery system
CN111386363A (en) * 2017-10-30 2020-07-07 康宁股份有限公司 Nucleic acid immobilization article and method therefor
EP4180534A1 (en) 2017-11-02 2023-05-17 Bio-Rad Laboratories, Inc. Transposase-based genomic analysis
WO2019089959A1 (en) 2017-11-02 2019-05-09 Bio-Rad Laboratories, Inc. Transposase-based genomic analysis
WO2019090251A2 (en) 2017-11-06 2019-05-09 Illumina, Inc. Nucleic acid indexing techniques
US11891600B2 (en) 2017-11-06 2024-02-06 Illumina, Inc. Nucleic acid indexing techniques
EP4289996A2 (en) 2017-11-06 2023-12-13 Illumina Inc. Nucleic acid indexing techniques
WO2019092269A1 (en) 2017-11-13 2019-05-16 F. Hoffmann-La Roche Ag Devices for sample analysis using epitachophoresis
WO2019099529A1 (en) 2017-11-16 2019-05-23 Illumina, Inc. Systems and methods for determining microsatellite instability
US11254980B1 (en) 2017-11-29 2022-02-22 Adaptive Biotechnologies Corporation Methods of profiling targeted polynucleotides while mitigating sequencing depth requirements
WO2019108972A1 (en) 2017-11-30 2019-06-06 Illumina, Inc. Validation methods and systems for sequence variant calls
US12040047B2 (en) 2017-11-30 2024-07-16 Illumina, Inc. Validation methods and systems for sequence variant calls
WO2019108942A1 (en) 2017-12-01 2019-06-06 Life Technologies Corporation Methods, systems, and computer-readable media for detection of tandem duplication
EP4273267A2 (en) 2017-12-01 2023-11-08 Life Technologies Corporation Methods, systems, and computer-readable media for detection of internal tandem duplication in the flt3 gene
WO2019118925A1 (en) 2017-12-15 2019-06-20 Grail, Inc. Methods for enriching for duplex reads in sequencing and error correction
US11414656B2 (en) 2017-12-15 2022-08-16 Grail, Inc. Methods for enriching for duplex reads in sequencing and error correction
WO2019126803A1 (en) 2017-12-22 2019-06-27 Grail, Inc. Error removal using improved library preparation methods
WO2019140146A1 (en) 2018-01-12 2019-07-18 Life Technologies Corporation Methods for flow space quality score prediction by neural networks
EP4324962A2 (en) 2018-01-31 2024-02-21 Bio-Rad Laboratories, Inc. Methods and compositions for deconvoluting partition barcodes
WO2019152395A1 (en) 2018-01-31 2019-08-08 Bio-Rad Laboratories, Inc. Methods and compositions for deconvoluting partition barcodes
EP4253562A2 (en) 2018-02-13 2023-10-04 Illumina, Inc. Dna sequencing using hydrogel beads
US11180752B2 (en) 2018-02-13 2021-11-23 Illumina, Inc. DNA sequencing using hydrogel beads
EP4083225A1 (en) 2018-02-13 2022-11-02 Illumina, Inc. Dna sequencing using hydrogel beads
WO2019160820A1 (en) 2018-02-13 2019-08-22 Illumina, Inc. Dna sequencing using hydrogel beads
US11111533B2 (en) 2018-03-09 2021-09-07 Illumina Cambridge Limited Generalized stochastic super-resolution sequencing
US12091713B2 (en) 2018-03-09 2024-09-17 Illumina Cambridge Limited Generalized stochastic super-resolution sequencing
US10988761B2 (en) 2018-03-20 2021-04-27 Zymergen Inc. HTP platform for the genetic engineering of Chinese hamster ovary cells
WO2019195225A1 (en) 2018-04-02 2019-10-10 Illumina, Inc. Compositions and methods for making controls for sequence-based genetic testing
US11512002B2 (en) 2018-04-18 2022-11-29 University Of Virginia Patent Foundation Silica materials and methods of making thereof
WO2019203986A1 (en) 2018-04-19 2019-10-24 Omniome, Inc. Improving accuracy of base calls in nucleic acid sequencing methods
WO2019204229A1 (en) 2018-04-20 2019-10-24 Illumina, Inc. Methods of encapsulating single cells, the encapsulated cells and uses thereof
US11359226B2 (en) 2018-04-20 2022-06-14 Illumina, Inc. Contiguity particle formation and methods of use
WO2019213619A1 (en) 2018-05-04 2019-11-07 Abbott Laboratories Hbv diagnostic, prognostic, and therapeutic methods and products
US11981891B2 (en) 2018-05-17 2024-05-14 Illumina, Inc. High-throughput single-cell sequencing with reduced amplification bias
US11814750B2 (en) 2018-05-31 2023-11-14 Personalis, Inc. Compositions, methods and systems for processing or analyzing multi-species nucleic acid samples
US11634767B2 (en) 2018-05-31 2023-04-25 Personalis, Inc. Compositions, methods and systems for processing or analyzing multi-species nucleic acid samples
EP4269618A2 (en) 2018-06-04 2023-11-01 Illumina, Inc. Methods of making high-throughput single-cell transcriptome libraries
US11374124B2 (en) * 2018-06-28 2022-06-28 Texas Instruments Incorporated Protection of drain extended transistor field oxide
US20200006550A1 (en) * 2018-06-28 2020-01-02 Texas Instruments Incorporated Protection of drain extended transistor field oxide
US10961585B2 (en) 2018-08-08 2021-03-30 Pml Screening, Llc Methods for assessing risk of developing a viral of disease using a genetic test
US12054778B2 (en) 2018-08-08 2024-08-06 Pml Screening, Llc Methods for assessing risk of developing a viral disease using a genetic test
US11913074B2 (en) 2018-08-08 2024-02-27 Pml Screening, Llc Methods for assessing risk of developing a viral disease using a genetic test
US12111313B2 (en) 2018-08-14 2024-10-08 Autonomous Medical Devices Inc. Chelator-coated field effect transistor and devices and methods using same
WO2020041293A1 (en) 2018-08-20 2020-02-27 Bio-Rad Laboratories, Inc. Nucleotide sequence generation by barcode bead-colocalization in partitions
EP4249651A2 (en) 2018-08-20 2023-09-27 Bio-Rad Laboratories, Inc. Nucleotide sequence generation by barcode bead-colocalization in partitions
US12098419B2 (en) 2018-08-23 2024-09-24 Ncan Genomics, Inc. Linked target capture and ligation
WO2020047002A1 (en) 2018-08-28 2020-03-05 10X Genomics, Inc. Method for transposase-mediated spatial tagging and analyzing genomic dna in a biological sample
WO2020047007A2 (en) 2018-08-28 2020-03-05 10X Genomics, Inc. Methods for generating spatially barcoded arrays
WO2020047010A2 (en) 2018-08-28 2020-03-05 10X Genomics, Inc. Increasing spatial array resolution
WO2020047004A2 (en) 2018-08-28 2020-03-05 10X Genomics, Inc. Methods of generating an array
US11519033B2 (en) 2018-08-28 2022-12-06 10X Genomics, Inc. Method for transposase-mediated spatial tagging and analyzing genomic DNA in a biological sample
WO2020047005A1 (en) 2018-08-28 2020-03-05 10X Genomics, Inc. Resolving spatial arrays
WO2020056039A1 (en) 2018-09-13 2020-03-19 Life Technologies Corporation Cell analysis using chemfet sensor array-based systems
WO2020060811A1 (en) 2018-09-17 2020-03-26 Omniome, Inc. Engineered polymerases for improved sequencing
US10866208B2 (en) 2018-09-21 2020-12-15 Teralytic, Inc. Extensible, multimodal sensor fusion platform for remote, proximal terrain sensing
WO2020068559A1 (en) 2018-09-25 2020-04-02 Qiagen Sciences, Llc Depleting unwanted rna species
WO2020074742A1 (en) 2018-10-12 2020-04-16 F. Hoffmann-La Roche Ag Detection methods for epitachophoresis workflow automation
US11085036B2 (en) 2018-10-26 2021-08-10 Illumina, Inc. Modulating polymer beads for DNA processing
WO2020086843A1 (en) 2018-10-26 2020-04-30 Illumina, Inc. Modulating polymer beads for dna processing
US11999945B2 (en) 2018-10-26 2024-06-04 Illumina, Inc. Modulating polymer beads for DNA processing
WO2020092830A1 (en) 2018-10-31 2020-05-07 Illumina, Inc. Polymerases, compositions, and methods of use
US11680261B2 (en) 2018-11-15 2023-06-20 Grail, Inc. Needle-based devices and methods for in vivo diagnostics of disease conditions
EP4293126A2 (en) 2018-11-30 2023-12-20 Illumina, Inc. Analysis of multiple analytes using a single assay
US12104281B2 (en) 2018-11-30 2024-10-01 Illumina, Inc. Analysis of multiple analytes using a single assay
WO2020112604A2 (en) 2018-11-30 2020-06-04 Illumina, Inc. Analysis of multiple analytes using a single assay
US10710076B2 (en) 2018-12-04 2020-07-14 Omniome, Inc. Mixed-phase fluids for nucleic acid sequencing and other analytical assays
WO2020117653A1 (en) 2018-12-04 2020-06-11 Omniome, Inc. Mixed-phase fluids for nucleic acid sequencing and other analytical assays
WO2020114918A1 (en) 2018-12-05 2020-06-11 Illumina Cambridge Limited Methods and compositions for cluster generation by bridge amplification
WO2020117968A2 (en) 2018-12-05 2020-06-11 Illumina, Inc. Polymerases, compositions, and methods of use
WO2020123316A2 (en) 2018-12-10 2020-06-18 10X Genomics, Inc. Methods for determining a location of a biological analyte in a biological sample
WO2020123319A2 (en) 2018-12-10 2020-06-18 10X Genomics, Inc. Methods of using master / copy arrays for spatial detection
WO2020123318A1 (en) 2018-12-10 2020-06-18 10X Genomics, Inc. Resolving spatial arrays using deconvolution
WO2020123317A2 (en) 2018-12-10 2020-06-18 10X Genomics, Inc Three-dimensional spatial analysis
WO2020123320A2 (en) 2018-12-10 2020-06-18 10X Genomics, Inc. Imaging system hardware
US12024741B2 (en) 2018-12-10 2024-07-02 10X Genomics, Inc. Imaging system hardware
WO2020123305A2 (en) 2018-12-10 2020-06-18 10X Genomics, Inc. Generating capture probes for spatial analysis
WO2020123309A1 (en) 2018-12-10 2020-06-18 10X Genomics, Inc. Resolving spatial arrays by proximity-based deconvolution
US11933957B1 (en) 2018-12-10 2024-03-19 10X Genomics, Inc. Imaging system hardware
WO2020123311A2 (en) 2018-12-10 2020-06-18 10X Genomics, Inc. Resolving spatial arrays using deconvolution
WO2020123301A2 (en) 2018-12-10 2020-06-18 10X Genomics, Inc. Generating spatial arrays with gradients
GB201820300D0 (en) 2018-12-13 2019-01-30 10X Genomics Inc Method for spatial tagging and analysing genomic DNA in a biological specimen
GB201820341D0 (en) 2018-12-13 2019-01-30 10X Genomics Inc Method for transposase-mediated spatial tagging and analysing genomic DNA in a biological specimen
US11512349B2 (en) 2018-12-18 2022-11-29 Grail, Llc Methods for detecting disease using analysis of RNA
WO2020126602A1 (en) 2018-12-18 2020-06-25 Illumina Cambridge Limited Methods and compositions for paired end sequencing using a single surface primer
WO2020132103A1 (en) 2018-12-19 2020-06-25 Illumina, Inc. Methods for improving polynucleotide cluster clonality priority
US12077815B2 (en) 2018-12-20 2024-09-03 Pacific Biosciences Of California, Inc. Temperature control for analysis of nucleic acids and other analytes
WO2020132350A2 (en) 2018-12-20 2020-06-25 Omniome, Inc. Temperature control for analysis of nucleic acids and other analytes
US11041199B2 (en) 2018-12-20 2021-06-22 Omniome, Inc. Temperature control for analysis of nucleic acids and other analytes
US11827931B2 (en) 2018-12-26 2023-11-28 Illumina Cambridge Limited Methods of preparing growing polynucleotides using nucleotides with 3′ AOM blocking group
WO2020136170A2 (en) 2018-12-26 2020-07-02 Illumina Cambridge Limited Nucleosides and nucleotides with 3'-hydroxy blocking groups
US11293061B2 (en) 2018-12-26 2022-04-05 Illumina Cambridge Limited Sequencing methods using nucleotides with 3′ AOM blocking group
EP3674702A1 (en) * 2018-12-27 2020-07-01 Imec VZW Method for sequencing a polynucleotide using a biofet
WO2020141464A1 (en) 2019-01-03 2020-07-09 Boreal Genomics, Inc. Linked target capture
US11473136B2 (en) 2019-01-03 2022-10-18 Ncan Genomics, Inc. Linked target capture
WO2020142768A1 (en) 2019-01-04 2020-07-09 Northwestern University Storing temporal data into dna
US11753675B2 (en) 2019-01-06 2023-09-12 10X Genomics, Inc. Generating capture probes for spatial analysis
US11649485B2 (en) 2019-01-06 2023-05-16 10X Genomics, Inc. Generating capture probes for spatial analysis
US11926867B2 (en) 2019-01-06 2024-03-12 10X Genomics, Inc. Generating capture probes for spatial analysis
US11521827B2 (en) 2019-01-24 2022-12-06 Carl Zeiss Multisem Gmbh Method of imaging a 2D sample with a multi-beam particle microscope
CN111477530A (en) * 2019-01-24 2020-07-31 卡尔蔡司显微镜有限责任公司 Method for imaging a 3D sample using a multi-beam particle microscope
WO2020167574A1 (en) 2019-02-14 2020-08-20 Omniome, Inc. Mitigating adverse impacts of detection systems on nucleic acids and other biological analytes
US11680950B2 (en) 2019-02-20 2023-06-20 Pacific Biosciences Of California, Inc. Scanning apparatus and methods for detecting chemical and biological analytes
WO2020176788A1 (en) 2019-02-28 2020-09-03 10X Genomics, Inc. Profiling of biological analytes with spatially barcoded oligonucleotide arrays
WO2020180778A1 (en) 2019-03-01 2020-09-10 Illumina, Inc. High-throughput single-nuclei and single-cell libraries and methods of making and of using
WO2020190509A1 (en) 2019-03-15 2020-09-24 10X Genomics, Inc. Methods for using spatial arrays for single cell sequencing
WO2020198071A1 (en) 2019-03-22 2020-10-01 10X Genomics, Inc. Three-dimensional spatial analysis
US11763864B2 (en) 2019-04-08 2023-09-19 Monolithic 3D Inc. 3D memory semiconductor devices and structures with bit-line pillars
US11158652B1 (en) 2019-04-08 2021-10-26 Monolithic 3D Inc. 3D memory semiconductor devices and structures
US11018156B2 (en) 2019-04-08 2021-05-25 Monolithic 3D Inc. 3D memory semiconductor devices and structures
US11296106B2 (en) 2019-04-08 2022-04-05 Monolithic 3D Inc. 3D memory semiconductor devices and structures
US10892016B1 (en) 2019-04-08 2021-01-12 Monolithic 3D Inc. 3D memory semiconductor devices and structures
WO2020214904A1 (en) 2019-04-18 2020-10-22 Life Technologies Corporation Methods for context based compression of genomic data for immuno-oncology biomarkers
WO2020229437A1 (en) 2019-05-14 2020-11-19 F. Hoffmann-La Roche Ag Devices and methods for sample analysis
US11965213B2 (en) 2019-05-30 2024-04-23 10X Genomics, Inc. Methods of detecting spatial heterogeneity of a biological sample
WO2020243579A1 (en) 2019-05-30 2020-12-03 10X Genomics, Inc. Methods of detecting spatial heterogeneity of a biological sample
WO2020252186A1 (en) 2019-06-11 2020-12-17 Omniome, Inc. Calibrated focus sensing
US20200407711A1 (en) * 2019-06-28 2020-12-31 Advanced Molecular Diagnostics, LLC Systems and methods for scoring results of identification processes used to identify a biological sequence
WO2021008805A1 (en) 2019-07-12 2021-01-21 Illumina Cambridge Limited Compositions and methods for preparing nucleic acid sequencing libraries using crispr/cas9 immobilized on a solid support
WO2021009494A1 (en) 2019-07-12 2021-01-21 Illumina Cambridge Limited Nucleic acid library preparation using electrophoresis
US11644636B2 (en) 2019-07-24 2023-05-09 Pacific Biosciences Of California, Inc. Method and system for biological imaging using a wide field objective lens
WO2021015838A1 (en) 2019-07-24 2021-01-28 Omniome, Inc. Objective lens of a microscope for imaging an array of nucleic acids and system for dna sequencing
US10656368B1 (en) 2019-07-24 2020-05-19 Omniome, Inc. Method and system for biological imaging using a wide field objective lens
WO2021026228A1 (en) 2019-08-05 2021-02-11 Mission Bio, Inc. Method and apparatus for single-cell analysis for determining a cell trajectory
CN112039481A (en) * 2019-08-09 2020-12-04 中芯集成电路(宁波)有限公司 Bulk acoustic wave resonator and method for manufacturing the same
US11969446B2 (en) 2019-08-28 2024-04-30 Xbiome Inc. Compositions comprising bacterial species and methods related thereto
US10768173B1 (en) 2019-09-06 2020-09-08 Element Biosciences, Inc. Multivalent binding composition for nucleic acid analysis
US12117438B2 (en) 2019-09-06 2024-10-15 Element Biosciences, Inc. Multivalent binding composition for nucleic acid analysis
EP4265628A2 (en) 2019-09-10 2023-10-25 Pacific Biosciences of California, Inc. Reversible modification of nucleotides
WO2021050681A1 (en) 2019-09-10 2021-03-18 Omniome, Inc. Reversible modification of nucleotides
US11180520B2 (en) 2019-09-10 2021-11-23 Omniome, Inc. Reversible modifications of nucleotides
US11807909B1 (en) 2019-09-12 2023-11-07 Zymo Research Corporation Methods for species-level resolution of microorganisms
US11287422B2 (en) 2019-09-23 2022-03-29 Element Biosciences, Inc. Multivalent binding composition for nucleic acid analysis
US11299753B2 (en) 2019-09-23 2022-04-12 Zymergen Inc. Method for counterselection in microorganisms
US11111507B2 (en) 2019-09-23 2021-09-07 Zymergen Inc. Method for counterselection in microorganisms
US11514575B2 (en) 2019-10-01 2022-11-29 10X Genomics, Inc. Systems and methods for identifying morphological patterns in tissue samples
US12125260B2 (en) 2019-10-01 2024-10-22 10X Genomics, Inc. Systems and methods for identifying morphological patterns in tissue samples
WO2021076152A1 (en) 2019-10-18 2021-04-22 Omniome, Inc. Methods and compositions for capping nucleic acids
WO2021078947A1 (en) 2019-10-25 2021-04-29 Illumina Cambridge Limited Methods for generating, and sequencing from, asymmetric adaptors on the ends of polynucleotide templates comprising hairpin loops
WO2021091611A1 (en) 2019-11-08 2021-05-14 10X Genomics, Inc. Spatially-tagged analyte capture agents for analyte multiplexing
WO2021092431A1 (en) 2019-11-08 2021-05-14 Omniome, Inc. Engineered polymerases for improved sequencing by binding
US11592447B2 (en) 2019-11-08 2023-02-28 10X Genomics, Inc. Spatially-tagged analyte capture agents for analyte multiplexing
US11808769B2 (en) 2019-11-08 2023-11-07 10X Genomics, Inc. Spatially-tagged analyte capture agents for analyte multiplexing
US12139764B2 (en) 2019-11-14 2024-11-12 Arizona Board Of Regents On Behalf Of The University Of Arizona Systems and methods for characterizing and treating breast cancer
WO2021102003A1 (en) 2019-11-18 2021-05-27 10X Genomics, Inc. Systems and methods for tissue classification
WO2021102039A1 (en) 2019-11-21 2021-05-27 10X Genomics, Inc, Spatial analysis of analytes
EP4435718A2 (en) 2019-11-22 2024-09-25 10X Genomics, Inc. Systems and methods for spatial analysis of analytes using fiducial alignment
WO2021102005A1 (en) 2019-11-22 2021-05-27 10X Genomics, Inc. Systems and methods for spatial analysis of analytes using fiducial alignment
US11501440B2 (en) 2019-11-22 2022-11-15 10X Genomics, Inc. Systems and methods for spatial analysis of analytes using fiducial alignment
DE202019106694U1 (en) 2019-12-02 2020-03-19 Omniome, Inc. System for sequencing nucleic acids in fluid foam
WO2021113287A1 (en) 2019-12-04 2021-06-10 Illumina, Inc. Preparation of dna sequencing libraries for detection of dna pathogens in plasma
WO2021127436A2 (en) 2019-12-19 2021-06-24 Illumina, Inc. High-throughput single-cell libraries and methods of making and of using
WO2021152586A1 (en) 2020-01-30 2021-08-05 Yeda Research And Development Co. Ltd. Methods of analyzing microbiome, immunoglobulin profile and physiological state
US12059674B2 (en) 2020-02-03 2024-08-13 Tecan Genomics, Inc. Reagent storage system
US12110541B2 (en) 2020-02-03 2024-10-08 10X Genomics, Inc. Methods for preparing high-resolution spatial arrays
US12110548B2 (en) 2020-02-03 2024-10-08 10X Genomics, Inc. Bi-directional in situ analysis
US12112833B2 (en) 2020-02-04 2024-10-08 10X Genomics, Inc. Systems and methods for index hopping filtering
WO2021158511A1 (en) 2020-02-04 2021-08-12 Omniome, Inc. Flow cells and methods for their manufacture and use
US11189362B2 (en) 2020-02-13 2021-11-30 Zymergen Inc. Metagenomic library and natural product discovery platform
US11495326B2 (en) 2020-02-13 2022-11-08 Zymergen Inc. Metagenomic library and natural product discovery platform
WO2021168287A1 (en) 2020-02-21 2021-08-26 10X Genomics, Inc. Methods and compositions for integrated in situ spatial assay
US11608528B2 (en) 2020-03-03 2023-03-21 Pacific Biosciences Of California, Inc. Methods and compositions for sequencing double stranded nucleic acids using RCA and MDA
WO2021178467A1 (en) 2020-03-03 2021-09-10 Omniome, Inc. Methods and compositions for sequencing double stranded nucleic acids
WO2021185320A1 (en) 2020-03-18 2021-09-23 Mgi Tech Co., Ltd. Restoring phase in massively parallel sequencing
WO2021188889A1 (en) 2020-03-20 2021-09-23 Mission Bio, Inc. Single cell workflow for whole genome amplification
WO2021214766A1 (en) 2020-04-21 2021-10-28 Yeda Research And Development Co. Ltd. Methods of diagnosing viral infections and vaccines thereto
WO2021224677A1 (en) 2020-05-05 2021-11-11 Akershus Universitetssykehus Hf Compositions and methods for characterizing bowel cancer
WO2021226523A2 (en) 2020-05-08 2021-11-11 Illumina, Inc. Genome sequencing and detection techniques
WO2021226522A1 (en) 2020-05-08 2021-11-11 Illumina, Inc. Genome sequencing and detection techniques
WO2021231477A2 (en) 2020-05-12 2021-11-18 Illumina, Inc. Generating nucleic acids with modified bases using recombinant terminal deoxynucleotidyl transferase
US12031177B1 (en) 2020-06-04 2024-07-09 10X Genomics, Inc. Methods of enhancing spatial resolution of transcripts
WO2021252617A1 (en) 2020-06-09 2021-12-16 Illumina, Inc. Methods for increasing yield of sequencing libraries
US11935311B2 (en) 2020-06-11 2024-03-19 Nautilus Subsidiary, Inc. Methods and systems for computational decoding of biological, chemical, and physical entities
WO2021252800A1 (en) 2020-06-11 2021-12-16 Nautilus Biotechnology, Inc. Methods and systems for computational decoding of biological, chemical, and physical entities
EP4231174A2 (en) 2020-06-11 2023-08-23 Nautilus Subsidiary, Inc. Methods and systems for computational decoding of biological, chemical, and physical entities
WO2021259881A1 (en) 2020-06-22 2021-12-30 Illumina Cambridge Limited Nucleosides and nucleotides with 3' acetal blocking group
US11787831B2 (en) 2020-06-22 2023-10-17 Illumina Cambridge Limited Nucleosides and nucleotides with 3′ acetal blocking group
WO2022010965A1 (en) 2020-07-08 2022-01-13 Illumina, Inc. Beads as transposome carriers
US12116637B2 (en) 2020-07-24 2024-10-15 The Regents Of The University Of Michigan Compositions and methods for detecting and treating high grade subtypes of uterine cancer
WO2022031955A1 (en) 2020-08-06 2022-02-10 Illumina, Inc. Preparation of rna and dna sequencing libraries using bead-linked transposomes
WO2022040176A1 (en) 2020-08-18 2022-02-24 Illumina, Inc. Sequence-specific targeted transposition and selection and sorting of nucleic acids
WO2022053610A1 (en) 2020-09-11 2022-03-17 Illumina Cambridge Limited Methods of enriching a target sequence from a sequencing library using hairpin adaptors
WO2022103887A1 (en) 2020-11-11 2022-05-19 Nautilus Biotechnology, Inc. Affinity reagents having enhanced binding and detection characteristics
US12135308B2 (en) 2020-11-13 2024-11-05 Teralytic Holdings Inc. Extensible, multimodal sensor fusion platform for remote, proximal terrain sensing
WO2022119812A1 (en) 2020-12-02 2022-06-09 Illumina Software, Inc. System and method for detection of genetic alterations
WO2022159663A1 (en) 2021-01-21 2022-07-28 Nautilus Biotechnology, Inc. Systems and methods for biomolecule preparation
WO2022169972A1 (en) 2021-02-04 2022-08-11 Illumina, Inc. Long indexed-linked read generation on transposome bound beads
WO2022174054A1 (en) 2021-02-13 2022-08-18 The General Hospital Corporation Methods and compositions for in situ macromolecule detection and uses thereof
WO2022192591A1 (en) 2021-03-11 2022-09-15 Nautilus Biotechnology, Inc. Systems and methods for biomolecule retention
WO2022194764A1 (en) 2021-03-15 2022-09-22 F. Hoffmann-La Roche Ag Targeted next-generation sequencing via anchored primer extension
WO2022204032A1 (en) 2021-03-22 2022-09-29 Illumina Cambridge Limited Methods for improving nucleic acid cluster clonality
WO2022212280A1 (en) 2021-03-29 2022-10-06 Illumina, Inc. Compositions and methods for assessing dna damage in a library and normalizing amplicon size bias
WO2022212269A1 (en) 2021-03-29 2022-10-06 Illumina, Inc. Improved methods of library preparation
WO2022212402A1 (en) 2021-03-31 2022-10-06 Illumina, Inc. Methods of preparing directional tagmentation sequencing libraries using transposon-based technology with unique molecular identifiers for error correction
WO2022207804A1 (en) 2021-03-31 2022-10-06 Illumina Cambridge Limited Nucleic acid library sequencing techniques with adapter dimer detection
WO2022213027A1 (en) 2021-04-02 2022-10-06 Illumina, Inc. Machine-learning model for detecting a bubble within a nucleotide-sample slide for sequencing
WO2022232050A1 (en) 2021-04-26 2022-11-03 The Broad Institute, Inc. Compositions and methods for characterizing polynucleotide sequence alterations
WO2022232425A2 (en) 2021-04-29 2022-11-03 Illumina, Inc. Amplification techniques for nucleic acid characterization
WO2022243480A1 (en) 2021-05-20 2022-11-24 Illumina, Inc. Compositions and methods for sequencing by synthesis
WO2022251510A2 (en) 2021-05-28 2022-12-01 Illumina, Inc. Oligo-modified nucleotide analogues for nucleic acid preparation
WO2023278927A1 (en) 2021-06-29 2023-01-05 Illumina Software, Inc. Signal-to-noise-ratio metric for determining nucleotide-base calls and base-call quality
WO2023278966A1 (en) 2021-06-29 2023-01-05 Illumina, Inc. Machine-learning model for generating confidence classifications for genomic coordinates
GB202110479D0 (en) 2021-07-21 2021-09-01 Dnae Diagnostics Ltd Compositions, kits and methods for sequencing target polynucleotides
WO2023002203A1 (en) 2021-07-21 2023-01-26 Dnae Diagnostics Limited Method and system comprising a cartridge for sequencing target polynucleotides
GB202110485D0 (en) 2021-07-21 2021-09-01 Dnae Diagnostics Ltd Compositions, kits and methods for sequencing target polynucleotides
WO2023004323A1 (en) 2021-07-23 2023-01-26 Illumina Software, Inc. Machine-learning model for recalibrating nucleotide-base calls
WO2023020728A1 (en) 2021-08-14 2023-02-23 Illumina, Inc. Polymerases, compositions, and methods of use
WO2023038859A1 (en) 2021-09-09 2023-03-16 Nautilus Biotechnology, Inc. Characterization and localization of protein modifications
WO2023044229A1 (en) 2021-09-17 2023-03-23 Illumina, Inc. Automatically identifying failure sources in nucleotide sequencing from base-call-error patterns
WO2023049558A1 (en) 2021-09-21 2023-03-30 Illumina, Inc. A graph reference genome and base-calling approach using imputed haplotypes
WO2023049073A1 (en) 2021-09-22 2023-03-30 Nautilus Biotechnology, Inc. Methods and systems for determining polypeptide interactions
WO2023064181A1 (en) 2021-10-11 2023-04-20 Nautilus Biotechnology, Inc. Highly multiplexable analysis of proteins and proteomes
EP4174189A1 (en) 2021-10-28 2023-05-03 Volker, Leen Enzyme directed biomolecule labeling
WO2023081728A1 (en) 2021-11-03 2023-05-11 Nautilus Biotechnology, Inc. Systems and methods for surface structuring
US12140590B2 (en) 2021-11-17 2024-11-12 Bio-Rad Laboratories, Inc. Compositions and methods for molecular labeling
WO2023102354A1 (en) 2021-12-02 2023-06-08 Illumina Software, Inc. Generating cluster-specific-signal corrections for determining nucleotide-base calls
WO2023122362A1 (en) 2021-12-23 2023-06-29 Illumina Software, Inc. Facilitating secure execution of external workflows for genomic sequencing diagnostics
WO2023122363A1 (en) 2021-12-23 2023-06-29 Illumina Software, Inc. Dynamic graphical status summaries for nucelotide sequencing
WO2023129896A1 (en) 2021-12-28 2023-07-06 Illumina Software, Inc. Machine learning model for recalibrating nucleotide base calls corresponding to target variants
WO2023129764A1 (en) 2021-12-29 2023-07-06 Illumina Software, Inc. Automatically switching variant analysis model versions for genomic analysis applications
WO2023126457A1 (en) 2021-12-29 2023-07-06 Illumina Cambridge Ltd. Methods of nucleic acid sequencing using surface-bound primers
BE1030246A1 (en) 2022-02-04 2023-08-30 Leen Volker POLYMER-ASSISTED BIOMOLECULE ANALYSIS
WO2023164492A1 (en) 2022-02-25 2023-08-31 Illumina, Inc. Machine-learning models for detecting and adjusting values for nucleotide methylation levels
WO2023164660A1 (en) 2022-02-25 2023-08-31 Illumina, Inc. Calibration sequences for nucelotide sequencing
US12140591B2 (en) 2022-03-21 2024-11-12 Bio-Rad Laboratories, Inc. Compositions and methods for molecular labeling
WO2023192917A1 (en) 2022-03-29 2023-10-05 Nautilus Subsidiary, Inc. Integrated arrays for single-analyte processes
WO2023196572A1 (en) 2022-04-07 2023-10-12 Illumina Singapore Pte. Ltd. Altered cytidine deaminases and methods of use
WO2023196528A1 (en) 2022-04-08 2023-10-12 Illumina, Inc. Aptamer dynamic range compression and detection techniques
WO2023212490A1 (en) 2022-04-25 2023-11-02 Nautilus Subsidiary, Inc. Systems and methods for assessing and improving the quality of multiplex molecular assays
WO2023212601A1 (en) 2022-04-26 2023-11-02 Illumina, Inc. Machine-learning models for selecting oligonucleotide probes for array technologies
WO2023220627A1 (en) 2022-05-10 2023-11-16 Illumina Software, Inc. Adaptive neural network for nucelotide sequencing
WO2023225095A1 (en) 2022-05-18 2023-11-23 Illumina Cambridge Limited Preparation of size-controlled nucleic acid fragments
WO2023250364A1 (en) 2022-06-21 2023-12-28 Nautilus Subsidiary, Inc. Method for detecting analytes at sites of optically non-resolvable distances
WO2023250504A1 (en) 2022-06-24 2023-12-28 Illumina Software, Inc. Improving split-read alignment by intelligently identifying and scoring candidate split groups
WO2024006769A1 (en) 2022-06-27 2024-01-04 Illumina Software, Inc. Generating and implementing a structural variation graph genome
WO2024006705A1 (en) 2022-06-27 2024-01-04 Illumina Software, Inc. Improved human leukocyte antigen (hla) genotyping
WO2024006779A1 (en) 2022-06-27 2024-01-04 Illumina, Inc. Accelerators for a genotype imputation model
WO2024015962A1 (en) 2022-07-15 2024-01-18 Pacific Biosciences Of California, Inc. Blocked asymmetric hairpin adaptors
WO2024026356A1 (en) 2022-07-26 2024-02-01 Illumina, Inc. Rapid single-cell multiomics processing using an executable file
US12140560B2 (en) 2022-08-16 2024-11-12 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
WO2024039516A1 (en) 2022-08-19 2024-02-22 Illumina, Inc. Third dna base pair site-specific dna detection
WO2024059655A1 (en) 2022-09-15 2024-03-21 Nautilus Subsidiary, Inc. Characterizing accessibility of macromolecule structures
WO2024073599A1 (en) 2022-09-29 2024-04-04 Nautilus Subsidiary, Inc. Preparation of array surfaces for single-analyte processes
WO2024073516A1 (en) 2022-09-29 2024-04-04 Illumina, Inc. A target-variant-reference panel for imputing target variants
WO2024073043A1 (en) 2022-09-30 2024-04-04 Illumina, Inc. Methods of using cpg binding proteins in mapping modified cytosine nucleotides
WO2024073519A1 (en) 2022-09-30 2024-04-04 Illumina, Inc. Machine-learning model for refining structural variant calls
WO2024073047A1 (en) 2022-09-30 2024-04-04 Illumina, Inc. Cytidine deaminases and methods of use in mapping modified cytosine nucleotides
WO2024069581A1 (en) 2022-09-30 2024-04-04 Illumina Singapore Pte. Ltd. Helicase-cytidine deaminase complexes and methods of use
WO2024068971A1 (en) 2022-09-30 2024-04-04 Illumina, Inc. Polymerases, compositions, and methods of use
WO2024077096A1 (en) 2022-10-05 2024-04-11 Illumina, Inc. Integrating variant calls from multiple sequencing pipelines utilizing a machine learning architecture
WO2024081649A1 (en) 2022-10-11 2024-04-18 Illumina, Inc. Detecting and correcting methylation values from methylation sequencing assays
WO2024084249A1 (en) 2022-10-21 2024-04-25 Dnae Diagnostics Limited Clonal amplification
WO2024118791A1 (en) 2022-11-30 2024-06-06 Illumina, Inc. Accurately predicting variants from methylation sequencing data
WO2024118903A1 (en) 2022-11-30 2024-06-06 Illumina, Inc. Chemoenzymatic correction of false positive uracil transformations
WO2024124073A1 (en) 2022-12-09 2024-06-13 Nautilus Subsidiary, Inc. A method comprising performing on a single-analyte array at least 50 cycles of a process
WO2024129672A1 (en) 2022-12-12 2024-06-20 The Broad Institute, Inc. Trafficked rnas for assessment of cell-cell connectivity and neuroanatomy
WO2024129969A1 (en) 2022-12-14 2024-06-20 Illumina, Inc. Systems and methods for capture and enrichment of clustered beads on flow cell substrates
WO2024130000A1 (en) 2022-12-15 2024-06-20 Nautilus Subsidiary, Inc. Inhibition of photon phenomena on single molecule arrays
WO2024137774A1 (en) 2022-12-22 2024-06-27 Illumina, Inc. Palladium catalyst compositions and methods for sequencing by synthesis
WO2024137765A1 (en) 2022-12-22 2024-06-27 Illumina, Inc. Transition-metal catalyst compositions and methods for sequencing by synthesis
WO2024147904A1 (en) 2023-01-06 2024-07-11 Illumina, Inc. Reducing uracils by polymerase
WO2024146937A1 (en) 2023-01-06 2024-07-11 Dna Script Methods for obtaining correctly assembled nucleic acids
WO2024167954A1 (en) 2023-02-06 2024-08-15 Illumina, Inc. Determining and removing inter-cluster light interference
WO2024182219A1 (en) 2023-02-27 2024-09-06 Adaptive Biotechnologies Corp. Therapeutic t cell receptors targeting kras g12d
WO2024191806A1 (en) 2023-03-10 2024-09-19 Illumina, Inc. Aptamer detection techniques
WO2024206122A1 (en) 2023-03-24 2024-10-03 Nautilus Subsidiary, Inc. Improved transfer of nanoparticles to array surfaces
WO2024206848A1 (en) 2023-03-30 2024-10-03 Illumina, Inc. Tandem repeat genotyping
WO2024206394A1 (en) 2023-03-30 2024-10-03 Illumina, Inc. Compositions and methods for nucleic acid sequencing
WO2024206413A1 (en) 2023-03-30 2024-10-03 Illumina, Inc. Ai-driven signal enhancement of low-resolution images
US12136562B2 (en) 2023-12-02 2024-11-05 Monolithic 3D Inc. 3D semiconductor device and structure with single-crystal layers
US12144190B2 (en) 2024-05-29 2024-11-12 Monolithic 3D Inc. 3D semiconductor device and structure with bonding and memory cells preliminary class

Also Published As

Publication number Publication date
US20130210128A1 (en) 2013-08-15
US20160168635A1 (en) 2016-06-16
US20160010149A1 (en) 2016-01-14
US20130210182A1 (en) 2013-08-15
US20150160154A1 (en) 2015-06-11
US8936763B2 (en) 2015-01-20
US20110281737A1 (en) 2011-11-17
US20190079047A1 (en) 2019-03-14
US20190011396A1 (en) 2019-01-10
US20240201126A1 (en) 2024-06-20
US11137369B2 (en) 2021-10-05
US9964515B2 (en) 2018-05-08
US20110281741A1 (en) 2011-11-17
US11874250B2 (en) 2024-01-16
US20110275522A1 (en) 2011-11-10
US20160011145A1 (en) 2016-01-14
US20110263463A1 (en) 2011-10-27
US11448613B2 (en) 2022-09-20
US20130217004A1 (en) 2013-08-22
US9944981B2 (en) 2018-04-17
US20230152271A1 (en) 2023-05-18
US20150197797A1 (en) 2015-07-16

Similar Documents

Publication Publication Date Title
US12038405B2 (en) Methods and apparatus for measuring analytes
US20240201126A1 (en) Methods and apparatus for measuring analytes
US9927393B2 (en) Methods and apparatus for measuring analytes

Legal Events

Date Code Title Description
AS Assignment

Owner name: ION TORRENT SYSTEMS INCORPORATED,CONNECTICUT

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:ROTHBERG, JONATHAN M.;HINZ, WOLFGANG;DAVIDSON, JOHN F.;AND OTHERS;SIGNING DATES FROM 20090609 TO 20090612;REEL/FRAME:022886/0197

AS Assignment

Owner name: ION TORRENT SYSTEMS INCORPORATED,CONNECTICUT

Free format text: CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNMENT PREVIOUSLY RECORDED ON REEL 022886 FRAME 0197. ASSIGNOR(S) HEREBY CONFIRMS THE SUPPORTING LEGAL DOCUMENTATION'S ERROR IN THE TITLE. "METHOD" SHOULD READ --METHODS--;ASSIGNORS:ROTHBERG, JONATHAN M;HINZ, WOLFGANG;DAVIDSON, JOHN F;AND OTHERS;SIGNING DATES FROM 20090609 TO 20090612;REEL/FRAME:023005/0563

AS Assignment

Owner name: ION TORRENT SYSTEMS INCORPORATED,CONNECTICUT

Free format text: CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNMENT PREVIOUSLY RECORDED ON REEL 023005 FRAME 0563. ASSIGNOR(S) HEREBY CONFIRMS THE THE FIFTH ASSIGNOR NAME SHOULD BE CORRECTED TO READ "LEAMON";ASSIGNORS:ROTHBERG, JONATHAN M;HINZ, WOLFGANG;DAVIDSON, JOHN F;AND OTHERS;SIGNING DATES FROM 20090609 TO 20090612;REEL/FRAME:023343/0970

AS Assignment

Owner name: ION TORRENT SYSTEMS, INC., CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:SCHULTZ, JONATHAN;MARRAN, DAVID;REEL/FRAME:024671/0540

Effective date: 20100622

AS Assignment

Owner name: ION TORRENT SYSTEMS, INC., CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:NOBILE, JOHN;ROTH, G. THOMAS;REARICK, TODD;AND OTHERS;SIGNING DATES FROM 20100621 TO 20100622;REEL/FRAME:024679/0221

Owner name: ION TORRENT SYSTEMS, INC., CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:HINZ, WOLFGANG;LEAMON, JOHN;LIGHT, DAVID;AND OTHERS;SIGNING DATES FROM 20100621 TO 20100624;REEL/FRAME:024679/0226

AS Assignment

Owner name: LIFE TECHNOLOGIES CORPORATION, CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:ION TORRENT SYSTEMS INCORPORATED;REEL/FRAME:025349/0898

Effective date: 20101112

AS Assignment

Owner name: LIFE TECHNOLOGIES CORPORATION, CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:ROTHBERG, JONATHAN;BUSTILLO, JAMES;MILGREW, MARK;AND OTHERS;SIGNING DATES FROM 20110609 TO 20110621;REEL/FRAME:026536/0764

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION