We developed a new imaging platform using hyperspectral SRS imaging to detect metabolic dynamics in living organisms. Within the broad vibrational spectra, we visualized more than 20 different molecules including lipids subtypes-, protein-, and DNA-specific Raman profiles and develop hyperspectral detection methods to obtain various macromolecular multiplex imaging. We further developed deconvolution algorithm to enhance the spatial resolution to generate super resolution SRS hyperspectral images for visualizing subcellular distribution of various molecules. We applied this method to study the diet regulated metabolic dynamics in animals during aging processes, the quantitative lipid and protein turnover rate, the intra-cellular metabolic heterogeneity.
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