[20p-PB6-1~10] 3.4 生体・医用光学

▲ [20p-PB6-8] Performance Comparison of Spectral Unmixing Methods for Stimulated Raman Scattering Microscopy

〇Hanqin Liu¹、Takuya Asai¹、Jingwen Shou¹、Yasuyuki Ozeki¹ (1.Univ. Tokyo)

キーワード：Stimulated Raman Scattering, Spectral Unmixing

Stimulated Raman scattering (SRS) microscopy is regarded as a powerful technique of label-free, real-time biomedical imaging. In particular, hyperspectral SRS microscopy allows us to detect molecular vibrational spectra as a source of image contrast. The resultant hyperspectral datacube should be processed with a spectral unmixing method, which extracts meaningful information including vibrational spectra and concentration profiles of different components. So far, various methods of spectral unmixing, such as multivariate curve resolution (MCR), independent component analysis (ICA), and vertex component analysis (VCA) have been adopted to SRS microscopy but their pros and cons are still not clarified. In this work, we compare these three methods in terms of the extracted data and investigate their tolerance to low signal-to-noise ratio (SNR).