AI-Assisted Coherent Raman Scattering Microscopy for Clinical Translation
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.
Fields of Study & Subjects
Spectroscopy Techniques in Biomedical and Chemical Research
Gold and Silver Nanoparticles Synthesis and Applications
Advanced Fluorescence Microscopy Techniques
Publication details
- Journal / source
- Chemical & Biomedical Imaging
- Publisher
- American Chemical Society (ACS)
- Volume
- 4
- Issue
- 6
- Pages
- 970–983
- Publication date
- 7 January 2026
- Language
- EN