A self-supervised learning approach for high throughput and high content cell segmentation
Abstract In principle, ML/AI-based algorithms should enable rapid and accurate cell segmentation in high-throughput settings. However, reliance on large training datasets, human input, computational expertise, and limited generalizability has prevented this goal of completely automated, high-through...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-025-08190-w |
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