Fluorescent marker prediction for non-invasive optical imaging in bovine satellite cells using deep learning

Assessing the quality of bovine satellite cells (BSCs) is vital for advancing tissue engineered muscle constructs with applications in sustainable protein research. In this study, we present a non-invasive deep learning approach for optical imaging that predicts fluorescent markers directly from bri...

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Bibliographic Details

Published in:	Frontiers in Artificial Intelligence
Main Authors:	Sania Sinha, Aarham Wasit, Won Seob Kim, Jongkyoo Kim, Jiyoon Yi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-09-01
Subjects:	deep learning fluorescence digital staining non-invasive optical imaging tissue biology bovine satellite cells
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2025.1577027/full