Al-Qaysi, 2019 - Google Patents

Profiling Effusion Cells by Quantitative Analysis of Morphology and Diffraction Imaging Patterns

Al-Qaysi, 2019

View PDF
Document ID
16463116344543596975
Author
Al-Qaysi S
Publication year

External Links

Snippet

Profiling cells in human pleural and peritoneal effusion (PPE) samples is an essential task for cytological diagnosis of cancers and patient management. Conventional PPE cytology of a PPE sample is labor intensive and its efficacy depends heavily on the experience of …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53—Immunoassay; Biospecific binding assay
    • G01N33/574—Immunoassay; Biospecific binding assay for cancer
    • G01N33/57407—Specifically defined cancers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Electro-optical investigation, e.g. flow cytometers
    • G01N15/1468—Electro-optical investigation, e.g. flow cytometers with spatial resolution of the texture or inner structure of the particle
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Electro-optical investigation, e.g. flow cytometers
    • G01N15/1456—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
    • G01N15/1459—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/47—Scattering, i.e. diffuse reflection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • G06K9/00147—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image

Similar Documents

Publication Publication Date Title
US11842483B2 (en) Systems for cell shape estimation
JP7361149B2 (en) High-precision 5-part Differential using digital holography microscopy and untouched peripheral blood leukocytes
Dunn et al. DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data
US20200302603A1 (en) Method of computing tumor spatial and inter-marker heterogeneity
Gurcan et al. Histopathological image analysis: A review
JP2022023912A (en) Computer scoring based on primary stain and immunohistochemistry images
US20070135999A1 (en) Method, apparatus and system for characterizing pathological specimen
JP2020530613A (en) Automated assay evaluation and normalization for image processing
JP2018502279A (en) Classification of nuclei in histological images
Wen et al. Texture analysis applied to second harmonic generation image data for ovarian cancer classification
KR20140043128A (en) Method for analyzing biological specimens by spectral imaging
KR102280764B1 (en) Method and apparatus for rapid diagnosis of hematologic malignancy using 3d quantitative phase imaging and deep learning
US8189884B2 (en) Methods for assessing molecular expression of subcellular molecules
Zhang et al. Clinical lymphocytes construction for light scattering inversion study: a three-dimensional morphology constructed method from defective confocal images
Al-Qaysi Profiling Effusion Cells by Quantitative Analysis of Morphology and Diffraction Imaging Patterns
Borrelli et al. AI-aided holographic flow cytometry for label-free identification of ovarian cancer cells in the presence of unbalanced datasets
Lin et al. Morphometric analysis of erythrocytes from patients with thalassemia using tomographic diffractive microscopy
Gao et al. Differential diagnosis of lung carcinoma with three-dimensional quantitative molecular vibrational imaging
Agarwal et al. Three-dimensional DNA image cytometry by optical projection tomographic microscopy for early cancer diagnosis
Bapure Automated image analysis for nuclear morphometry using h&e and feulgen stains in prostate biopsies
US20240378908A1 (en) Computer-implemented method and corresponding apparatus for identifying subcellular structures in the non-chemical staining mode from phase contrast tomography reconstructions in flow cytometry
Al-Qaysi et al. Profiling pleural effusion cells by a diffraction imaging method
Majeed Label-free breast histopathology using quantitative phase imaging
TSAKU Texture-based deep neural network for histopathology cancer whole slide image (WSI) classification
Blackledge et al. Targeting cell nuclei for the automation of Raman spectroscopy in cytology