Physics-informed deep learning enables zero-shot cell-phenotyping using biolaser
We present a physics-informed deep learning model for cell phenotyping using biolasers. The model is tested on biolaser intensity profiles from two cells lines and could recover the cell size without training on any cell data.
Authors
- Sunitha Nagrath (ORCID: https://orcid.org/0000-0002-1497-7977)
- Xiaoqin Wu (ORCID: https://orcid.org/0000-0002-4955-0658)
- Xudong Fan (ORCID: https://orcid.org/0000-0003-0149-1326)
- Weishu Wu (ORCID: https://orcid.org/0000-0002-2325-3946)
- Yu Zhang (ORCID: https://orcid.org/0000-0001-7159-4561)
- Shuo Yang (ORCID: https://orcid.org/0000-0002-5037-7784)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.aa108_7
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00