Related Experiment Video
Updated: Jun 27, 2026

Implementation of a Coherent Anti-Stokes Raman Scattering (CARS) System on a Ti:Sapphire and OPO Laser Based Standard Laser Scanning Microscope
Published on: July 17, 2016
AI-Assisted Coherent Raman Scattering Microscopy for Clinical Translation
Yue Yu1, Yuheng Guo1, Kuan Luo1
1State Key Laboratory of Surface Physics and Department of Physics, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Shanghai Key Laboratory of Metasurfaces for Light Manipulation, Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China.
None:
Coherent Raman scattering (CRS) microscopy has emerged as a powerful bioimaging tool, combining bond-specific contrast with high sensitivity, to enable rapid histopathology and metabolic analysis. Yet, clinical translation demands further breakthroughs in acquisition speed, spatial/spectral resolution, imaging depth, and data interpretation. While hardware advances address some constraints, artificial intelligence (AI) now propels the field forward by decoding biological complexity beyond traditional limits. This review summarizes representative clinical applications of CRS microscopy, highlighting how AI-driven innovations are bridging technological gaps and accelerating deployment in medical diagnostics and research.
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