Recent Progress in Deep Learning for Improving Coherent Anti‐Stokes Raman Scattering Microscopy
Bowen Yao,
Fangrui Lin,
Ziyi Luo
et al.
Abstract:Coherent anti‐Stokes Raman scattering (CARS) microscopy is a powerful label‐free imaging technique that leverages biomolecular vibrations and is widely used in different fields. However, its intrinsic non‐resonant background (NRB) can distort Raman signals and compromise spectral fidelity. Conventional data analysis methods for CARS encounter a bottleneck in achieving high accuracy. Furthermore, CARS requires balancing imaging speed against image quality. In recent years, endeavors in deep learning have effect… Show more
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