Self-supervised learning for isotropic cryoET reconstruction
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Updated
Jul 11, 2024 - Python
Self-supervised learning for isotropic cryoET reconstruction
ArtiaX is an open-source extension of the molecular visualisation program ChimeraX.
cryo-ET particle picking by representation and metric learning
Pipeline for the automatic detection and segmentation of particles and cellular structures in 3D Cryo-ET data, based on deep learning (convolutional neural networks).
TomoNet is a GUI based pipeline package focusing on cryoET and STA data processing
structural heterogeneity analysis for cryo-ET subtomogram
Cellular content mining and particle localization
PyTorch implementation of "Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss"
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.
Python scritps for rendering and distance analysis of proteins (proteasome) and segmentations (poly-GA aggregates) in Cryo-ET
A tool to normalize CryoET data by matching amplitude spectrums.
2D NN-based particle picking from sparse labels
Python package for segmentation and analysis of Cryo-ET
MemBrain : Membrane segmentation in 3D for cryo-ET (by @teamtomo)
CryoCARE : denoising tomograms for cryo-ET (by @juglab)
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