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CellMap 2024 Segmentation Challenge

Posted on 2024-12-16 - 16:01 authored by CellMap Project Team

The CellMap Segmentation Challenge provides a comprehensive dataset collection aimed at advancing machine learning segmentation in electron microscopy. This release includes 289 meticulously annotated training volumes derived from 22 diverse eFIB-SEM datasets, encompassing over 40 unique organelle classes. These datasets capture a wide variety of cellular structures across multiple biological contexts, offering a richly detailed resource for algorithm development. The annotations and dataset preparation protocols ensure high consistency and quality, setting the stage for significant progress in understanding cellular architecture and improving segmentation methods. All data are publicly available on OpenOrganelle, with a collection DOI for citation: https://doi.org/10.25378/janelia.c.7456966. Detailed instructions for accessing the data, participating in the challenge, and submitting predictions are available on the official GitHub repository. The white paper CellMap Segmentation Challenge describes the dataset collection, annotation protocols, and potential applications, providing a foundation for innovation in electron microscopy image analysis. 

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AUTHORS (41)

Misha B. Ahrens
Yoshinori Aso
Emma Avetissian
Davis Bennett
Christopher K. E. Bleck
Marley Bryant
Daniel Crooks
Daniel Feliciano
Jan Funke
Larissa Heinrich
Michael Innerberger
Nirmala Iyer
Mark Kittisopikul
Wei-Ping Li
W. Marston Linehan
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