Scientific analysis of nanoscale materials imaging data
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Updated
Sep 12, 2025 - Jupyter Notebook
Scientific analysis of nanoscale materials imaging data
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
Read and write Neuroglancer datasets programmatically.
A collaborative list of awesome CryoEM (Cryo Electron Microscopy) resources.
Collection of algorithms and routines for (ultrafast) electron diffraction and scattering
A curated list of awesome computational cryo-EM methods.
Axon/Myelin segmentation using Deep Learning
Open pixelated STEM framework
Scalable Optical Flow-based Image Montaging and Alignment
Scipion is an image processing framework to obtain 3D models of macromolecular complexes using Electron Microscopy (3DEM)
Python library for reading and writing scientific data format
A curated list of awesome computational cryo-ET methods.
Workflow for Simulation and Automatic Semantic Segmentation of Electron Microscopy Images
Python program for automated electron diffraction data collection
Experimental tech-demo for PhD thesis in Scientific Markdown; official:
High Throughput Electron Microscopy Image Processing Software
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.
Implementation of geometric phase analysis (GPA) in C++
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