Scientific analysis of nanoscale materials imaging data
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Updated
Mar 7, 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
Axon/Myelin segmentation using Deep Learning
A curated list of awesome computational cryo-EM methods.
Open pixelated STEM framework
Scipion is an image processing framework to obtain 3D models of macromolecular complexes using Electron Microscopy (3DEM)
Scalable Optical Flow-based Image Montaging and Alignment
Python program for automated electron diffraction data collection
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
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.
Utilities for building and using the CEM dataset for unsupervised pre-training and downstream tasks.
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