Computational coherent Raman scattering imaging: breaking physical barriers by fusion of advanced instrumentation and data science

Abstract Coherent Raman scattering (CRS) microscopy is a chemical imaging modality that provides contrast based on intrinsic biomolecular vibrations. To date, endeavors instrumentation have advanced CRS into powerful analytical tool for studies of cell functions and in situ clinical diagnosis. Nevertheless, the small cross-section sets up physical boundary design space system, which trades off speed, signal fidelity spectral bandwidth. The synergistic combination computational approaches offers way to break trade-off. In this review, we first introduce coherent recent developments, then discuss current methods, including compressive micro-spectroscopy, volumetric imaging, as well machine learning algorithms improve system performance decipher information. We foresee constant permeation concepts push capability microscopy.