Abstract
Because of the high-speed character in stimulated Raman scattering (SRS) microspectroscopy, the generation of a large amount of data is inherent. Given the fast pace in the development of faster acquisition speeds in SRS, data management will soon become a problem because spectral images are not directly interpretable as chemical composition. In this chapter, we introduce the concept of compressive Raman microspectroscopy. The basic idea is, instead of acquiring the complete data set, to develop a suitable mathematical model describing an unconventional undersampling scheme, which will then lead to faster acquisition and data analysis throughput. We review various developments in this new field merging advanced signal processing techniques with high-speed chemical analysis.
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