Scientific analysis of nanoscale materials imaging data
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Updated
Jun 7, 2024 - 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
Collection of algorithms and routines for (ultrafast) electron diffraction and scattering
Read and write Neuroglancer datasets programmatically.
A collaborative list of awesome CryoEM (Cryo Electron Microscopy) resources.
Axon/Myelin segmentation using Deep Learning
Open pixelated STEM framework
A curated list of awesome computational cryo-EM methods.
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
Scalable Optical Flow-based Image Montaging and Alignment
Python library for reading and writing scientific data format
Experimental tech-demo for PhD thesis in Scientific Markdown; official:
Workflow for Simulation and Automatic Semantic Segmentation of Electron Microscopy Images
A curated list of awesome computational cryo-ET methods.
High Throughput Electron Microscopy Image Processing Software
ArtiaX is an open-source extension of the molecular visualisation program ChimeraX.
Utilities for building and using the CEM dataset for unsupervised pre-training and downstream tasks.
Implementation of geometric phase analysis (GPA) in C++
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