Python package for segmentation and analysis of Cryo-ET
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Updated
Dec 3, 2017 - Python
Python package for segmentation and analysis of Cryo-ET
Python scripts to quantiatively describe Arp2/3 complex organization on travelling Actin Waves
Python scritps for rendering and distance analysis of proteins (proteasome) and segmentations (poly-GA aggregates) in Cryo-ET
PyTorch implementation of "Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss"
A tool to normalize CryoET data by matching amplitude spectrums.
2D NN-based particle picking from sparse labels
Cellular content mining and particle localization
Pipeline for the automatic detection and segmentation of particles and cellular structures in 3D Cryo-ET data, based on deep learning (convolutional neural networks).
Self-supervised learning for isotropic cryoET reconstruction
Some scripts to facilitate subtomogram-averaging workflows.
ArtiaX is an open-source extension of the molecular visualisation program ChimeraX.
A napari plugin for the DeepFinder library which includes display, annotation, target generation, segmentation and clustering functionalities. An orthoslice view has been added for an easier visualisation and annotation process.
TomoNet is a GUI based pipeline package focusing on cryoET and STA data processing
Plugin to run MemBrain software within Scipion
cryo-ET particle picking by representation and metric learning
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