Self-supervised learning for isotropic cryoET reconstruction

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

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

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

cryo-ET particle picking by representation and metric learning

ArtiaX is an open-source extension of the molecular visualisation program ChimeraX.

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

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.

Web-interface for nextPYP

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

A curated list of awesome computational cryo-ET methods.

A pipeline to detect domains in cryo-EM density map by parsing domains from AlphaFold databases and fitting into the map for the best hits.

MemBrain : Membrane segmentation in 3D for cryo-ET (by @teamtomo)

A tool converting DYNAMO table files(.tbl) to RELION star files(.star)

Code and Data related to Wimmer and Morais et al (2023)

Subtomogram averaging tutorials

CarbOn FIlm detector for cryo-EM images