Self-supervised learning for isotropic cryoET reconstruction

A curated list of awesome computational cryo-ET methods.

Self-supervised deep learning for denoising and missing wedge reconstruction of cryo-ET tomograms

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).

TomoBEAR is a configurable and customizable modular pipeline for streamlined processing of cryo-electron tomographic data for subtomogram averaging.

Python tool for visualising and interacting with cryo-ET and subtomogram averaging data.

TomoNet is a GUI based pipeline package focusing on cryoET and STA data processing

Cellular content mining and particle localization

Web-interface for nextPYP

Cryo-EM/ET image analysis

structural heterogeneity analysis for cryo-ET subtomogram

Toolbox for post-correlation cryo-CLEM workflow developed at Chlanda Lab, Heidelberg University.

PyTorch implementation of "Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss"

Denoising and segmentation networks for cryoET based on U-net architecture implemented in Pytorch

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.

MATLAB scripts to analyze polysomes formed by ribosomes based on their coordinates and rotations.

A tool to normalize CryoET data by matching amplitude spectrums.

2D NN-based particle picking from sparse labels