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AI-Assisted Coherent Raman Scattering Microscopy for Clinical Translation

Year: 2026

Type: article

Abstract: 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.

Source: Chemical & Biomedical Imaging

DOI: 10.1021/cbmi.5c00199

Authors: Yue Yu, Yuheng Guo, Kuan Luo, Minbiao Ji

Institutions: Fudan University, Zhongshan Hospital, State Key Laboratory of Surface Physics

Language: English

Topic: Spectroscopy Techniques in Biomedical and Chemical Research

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: Fudan University