Published July 18, 2023
| Version v1
Dataset
Open
CartoCell, a high-content pipeline for accurate 3D image analysis, unveils cell morphology patterns in epithelial cysts.
Authors/Creators
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1.
Universidad de Sevilla
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2.
Instituto de Biomedicina de Sevilla
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3.
University of the Basque Country
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4.
Donostia International Physics Center
Description
CartoCell is a deep learning-based image processing pipeline for the high-content segmentation of whole epithelial cysts acquired at low resolution with minimal human intervention. This pipeline enables high-precision cell segmentation that allows a single cell cartography study of major interest for the search of cellular patterns.
Paper: https://www.cell.com/cell-reports-methods/pdf/S2667-2375(23)00249-7.pdf
Cite this dataset
Andrés-San Román, J. A., Gordillo-Vázquez, C., Franco-Barranco, D., Morato, L., Fernández-Espartero, C. H., Baonza, G., ... & Escudero, L. M. (2023). CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia. Cell Reports Methods, 3(10). https://doi.org/10.1016/j.crmeth.2023.100597
More info available at: https://data.mendeley.com/datasets/7gbkxgngpm
Files
CartoCell.zip
Files
(185.7 MB)
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Additional details
Related works
- Is published in
- Publication: 10.1016/j.crmeth.2023.100597 (DOI)