Leveraging foundation models and goal-dependent annotations for automated cell confluence assessment
Mesenchymal stem cell therapy shows promising results for difficult-to-treat diseases, but manufacturing requires robust quality control through cell confluence monitoring. While deep learning can automate confluence estimation, research on cost-effective dataset curation and the role of foundation...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Computer Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcomp.2025.1562358/full |
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