SRS Image Cytometry for High-Content Single Cell Analysis

摘要

Hyperspectral stimulated Raman scattering (SRS) microscopy allows imaging of complex chemical mixtures andanalysis cellular metabolites with high specificity. However, current SRS imaging is not implemented to address the cellheterogeneity issue, which can only be resolved by statistical analysis of a large amount of cells through cytometry. Wedeveloped a high-speed hyperspectral SRS image cytometry platform based on multiplex excitation, acquiring a Ramanspectrum of 200 wavenumbers in 5 microseconds. This platform enables measurement of >100 cells per second.Multiple chemical signatures, featuring different cellular organelles such as lipids, endoplasmic reticulum, nucleus, andcytoplasm can be segmented. Statistical analysis over a large amount of cells reveals unprecedented details about cellmetabolic changes after drug treatment.