Recent Progress in Deep Learning for Improving Coherent Anti-Stokes Raman Scattering Microscopy (Laser Photonics Rev. 18(11)/2024)

Abstract

Recent Progress in Deep Learning for Improving Coherent Anti-Stokes Raman Scattering Microscopy

Coherent anti-Stokes Raman scattering (CARS) microscopy can obtain Raman spectral information while achieve label-free imaging, and deep learning has provided unprecedented support for CARS in non-resonant background removal, classification for screening and diagnosis, and balancing the imaging speed against the image quality by denoising. For a review of recent progress in how deep learning is utilized to advance CARS studies, see article number 2400562 by Bowen Yao, Fangrui Lin, Jia Li, Junle Qu, and co-workers.