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.

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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
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article

copick: An open dataset interface and toolkit for collaborative annotation and analysis of cryo‐electron tomography data

Mohammadreza Paraan, Bridget Carragher, Zhuowen Zhao, Utz H. Ermel et al.
Protein Science
Advanced Electron Microscopy Techniques and Applications
article

copick: An open dataset interface and toolkit for collaborative annotation and analysis of cryo‐electron tomography data

Mohammadreza Paraan, Bridget Carragher, Zhuowen Zhao, Utz H. Ermel, Kyle Harrington, Ariana Peck, Achilleas S. Frangakis, Yue Yu, Jonathan Schwartz, Daniel Ji
article en

Abstract

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.

Protein ScienceVol. 35(5)
Goethe University Frankfurt (DE), Frankfurt Institute for Advanced Studies (DE), Chan Zuckerberg Initiative (United States) (US), Dynamic Structures and Materials (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Advanced Electron Microscopy Techniques and Applications
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