copick: An open <scp>dataset interface</scp> and toolkit for collaborative annotation and analysis of <scp>cryo‐electron tomography</scp> data
Cryo-electron tomography (cryoET) enables visualization of macromolecular complexes within intact cellular environments. Continued improvements in instrumentation, sample preparation, and data-processing pipelines have increased both the scale and the complexity of cryoET datasets, making manual analysis challenging. To support scalable, collaborative annotation, we developed copick, an open-source dataset application programming interface (API) and accompanying tool suite for cryoET analysis. Copick provides standardized access to tomograms, segmentations, point annotations, meshes, and feature maps across local storage, high-performance computing systems, cloud platforms, and public repositories. Plugins for napari and ChimeraX enable human-in-the-loop workflows for particle picking, segmentation, inspection of machine-learning outputs, and project-level collaboration. A multi-resolution Open Microscopy Environment (OME)-Zarr architecture supports responsive visualization and cross-platform access. Copick additionally provides a Model Context Protocol interface enabling automated generation of annotation-curation pipelines using natural-language instructions. Together, these tools support reproducible, scalable, and collaborative cryoET analysis.
Authors
- Mohammadreza Paraan (ORCID: https://orcid.org/0000-0002-8402-0134)
- Bridget Carragher (ORCID: https://orcid.org/0000-0002-0624-5020)
- Zhuowen Zhao (ORCID: https://orcid.org/0000-0002-2355-2284)
- Utz H. Ermel (ORCID: https://orcid.org/0000-0003-4685-037X)
- Kyle Harrington (ORCID: https://orcid.org/0000-0002-7237-1973)
- Ariana Peck (ORCID: https://orcid.org/0000-0002-5940-3897)
- Achilleas S. Frangakis (ORCID: https://orcid.org/0000-0002-8067-6611)
- Yue Yu
- Jonathan Schwartz
- Daniel Ji
Institutions
- Goethe University Frankfurt (DE)
- Frankfurt Institute for Advanced Studies (DE)
- Chan Zuckerberg Initiative (United States) (US)
- Dynamic Structures and Materials (United States) (US)
Publication Details
- Journal
- Protein Science
- Published
- 2026-04-17
- DOI
- https://doi.org/10.1002/pro.70578
- Primary Topic
- Advanced Electron Microscopy Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00