Understanding Virtual Fluorescent Staining for Connective Tissue
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen
Beitragende
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
| Originalsprache | Englisch |
|---|---|
| Titel | Optica Biophotonics Congress 2025 |
| Herausgeber (Verlag) | Optica Publishing Group |
| ISBN (Print) | 978-1-957171-46-3 |
| Publikationsstatus | Veröffentlicht - 2025 |
| Peer-Review-Status | Nein |
Externe IDs
| Scopus | 105011275645 |
|---|---|
| ORCID | /0000-0001-9075-5121/work/188858932 |
| ORCID | /0000-0003-4562-0759/work/188860474 |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Clinical applications, Confocal laser scanning microscopy, Green fluorescent protein, Neural networks, Structured illumination microscopy, Tissue imaging