Deep and Machine Learning for Microscopy
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Updated
Jun 26, 2024 - Python
Deep and Machine Learning for Microscopy
A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
Collection of algorithms and routines for (ultrafast) electron diffraction and scattering
Read and write Neuroglancer datasets programmatically.
Axon/Myelin segmentation using Deep Learning
Open pixelated STEM framework
Scipion is an image processing framework to obtain 3D models of macromolecular complexes using Electron Microscopy (3DEM)
Python program for automated electron diffraction data collection
Python library for reading and writing scientific data format
ArtiaX is an open-source extension of the molecular visualisation program ChimeraX.
A python package collecting an assortment of geometric phase analysis algorithms and tools to analyse regular (moiré) lattices.
Python interface for Monte Carlo simulation programs
Package for analysing particles in electron microscopy data sets.
Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification (JCIM 2021).
Panoptic segmentation algorithms for 2D and 3D electron microscopy in napari
Manipulate and mine Relion .star files
PLEASE: The Python Low-energy Electron Analysis SuitE - Enabling rapid analysis and visualization of LEEM and LEED Data.
A single package for analyzing atomic resolution STEM, 4D-STEM and STEM-EELS datasets, along with basic STEM simulation functionality
Deep neural network for low-dose electron micrograph denoising
Package to make analysis of transmission electron microscopy images simple.
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