Deep-learning based stimulated Raman scattering histology

Abstract number
379
Corresponding Email
[email protected]
Session
Stream 5: Label Free Imaging
Authors
Professor Minbiao Ji (1)
Affiliations
1. Fudan University
Keywords

stimulated Raman scattering, label-free imaging, histology, cancer diagnosis

Abstract text

Stimulated Raman scattering (SRS) microscopy has benefited from high sensitivity and spectral resolution for label-free imaging with molecular specificity, and hence showed broad applications in biomedical imaging, such as rapid and intraoperative histology. Further combined with deep-learning algorithms, we have investigated the possibility of SRS in the intelligent diagnosis on various human disease tissues, including laryngeal carcinoma, breast tumor and gastric endoscopic biopsies.