Cell-MICS: Detecting Immune Cells With Label-Free Two-Photon Autofluorescence and Deep Learning.
A deep learning method could enable faster, label-free analysis of immune cells in tissue samples without damaging them.
This study presents Cell-MICS, a deep learning method for detecting immune cells without labels using two-photon autofluorescence imaging. The approach could enable automated, non-destructive immune cell characterization in tissue samples.
What the study was
- Study design
- Methods development / validation
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Journal of Biophotonics
Why it surfaced
Novel AI + imaging approach for immune cell detection. Indirectly relevant to hematology diagnostics watchlist but primarily a methods paper.
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