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◆ Protein Science2026-04-17· Computer science

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

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

原始摘要(英文原文)· Original 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.
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copick: An open <scp>dataset interface</scp> and toolkit for collaborative annotation and analysis of <scp>cryo‐electron tomography</scp> data — 科研速览 Science Skim