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Label-free chemical imaging by stimulated Raman scattering (SRS) has seen rapid developments and widespread biomedical applications. Nevertheless, the cross-section of the Raman process sets up a physical limit that impedes further evolution of SRS. Computational imaging is an appealing approach to break the physical barrier through the synergistic integration of advanced instrumentation and data science. In this talk, I will introduce a series of computational SRS work to push the physical limits in the aspects of imaging speed, signal fidelity, chemical specificity, and spatial resolution.
Lin et al. (Tue,) studied this question.