SAMCell: Generalized label-free biological cell segmentation with segment anything
Using SAMCell, biologists can quickly and automatically obtain cell segmentation results of higher quality than previous methods. Further, these results can be obtained through our custom Graphical User Interface, thus decreasing the human labor required in cell culturing.
Authors
- Craig R. Forest (ORCID: https://orcid.org/0000-0001-5343-1769)
- Danfei Xu (ORCID: https://orcid.org/0000-0002-8744-3861)
- Eduardo A. Aponte (ORCID: https://orcid.org/0000-0001-8287-194X)
- Caitlin van Zyl (ORCID: https://orcid.org/0000-0001-7776-3565)
- Alexandra D. VandeLoo
- Nathan J. Malta
- Saahil Sanganeriya
Institutions
- Georgia Institute of Technology (US)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-09-08
- DOI
- https://doi.org/10.1371/journal.pone.0319532
- Citations
- 1
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.63