Self-supervised learning for isotropic cryoET reconstruction

A curated list of awesome computational cryo-ET methods.

Definitions for a collaborative cryoET annotation tool.

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

IsoNet at higher resolution

A Modular Platform for Streamlining Automated Cryo-FIB Workflows

A Docker-based distribution of Appion-Protomo.

.MRC and .EM thumbnailer for GNOME

Scaling data analyses in cellular cryoET using comprehensive segmentation.

A collaborative cryo-ET annotation tool

Subtomogram Averaging using Dynamo, imod, Relion and MatLab

This project builds machine learning models to automatically detect and classify protein complexes in cryo-electron tomography (cryoET) images, enabling scalable analysis of cellular structures and supporting advanced biological and medical research.

Removing etomo skipped views from Warp xml files to improve the tomogram reconstruction.

Docker environment for CryoET data analysis

Automated detection of protein complexes in cryo-electron tomography (cryoET) data. ML models identify five particle classes using a weighted F-β (β=4) metric focused on recall, especially for hard targets, helping reveal cellular “dark matter” and advance biological discovery.

Locating bacterial flagellar motors in cryo-electron tomography slices using YOLOv8l. Fine-tuned on the BYU Kaggle 2025 dataset with mosaic and geometric augmentations, achieving 87.5% mAP50 and 0.52 mAP50-95 on a single T4 GPU.

MCP-server for the copick CLI.

A napari plugin for copick