Understanding Virtual Fluorescent Staining for Connective Tissue
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed
Contributors
Abstract
We demonstrate how neural networks can virtually stain unlabeled cell samples using backscattered intensity distribution to mimic Phalloidin and DAPI staining. This study also includes insights into the explainability of the trained networks.
Details
| Original language | English |
|---|---|
| Title of host publication | Optica Biophotonics Congress 2025 |
| Publisher | Optica Publishing Group |
| ISBN (print) | 978-1-957171-46-3 |
| Publication status | Published - 2025 |
| Peer-reviewed | No |
External IDs
| Scopus | 105011275645 |
|---|---|
| ORCID | /0000-0001-9075-5121/work/188858932 |
| ORCID | /0000-0003-4562-0759/work/188860474 |
Keywords
ASJC Scopus subject areas
Keywords
- Clinical applications, Confocal laser scanning microscopy, Green fluorescent protein, Neural networks, Structured illumination microscopy, Tissue imaging