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Table 1 Summary of computational CRS methods

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

CRS methods

Algorithms

SRS

CARS/FT-CARS

Compressive sensing

Berto [68]

Takizawa [69]

Matrix completion

Lin [59]

 

Supervised spectral sub-sampling

Freudiger [71], Bae [72], Pence [74]

Masia [73]

Digital holography

 

Shi [78], Cocking [79]

Projection tomography

Chen [80], Lin [81], Gong [85]

 

Deep learning denoising

Manifold [97], Lin [36], Abdolghader [100]

Yamato [98], Vernuccio [101]

Deep learning segmentation & Clinical decision making

Orringer [104], Hollon [105], Zhang [106], Feizpour [107]

Manuscu [108], Aljakouch [109], Weng [110]

Deep learning background removal

Bresci [114]

Houhou [111], Valensise [112], Wang [113]

Deep learning chemical maps prediction

Zhang [56], Liu [118], Manifold [115]

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