Broadband hyperspectral coherent anti-Stokes Raman scattering microscopy for stain-free histological imaging with principal component analysis

Jingjiang Xu; Baoshan Guo; Kenneth K. Y. Wong; Kevin K. Tsia

doi:10.1117/12.2039215

28 February 2014 Broadband hyperspectral coherent anti-Stokes Raman scattering microscopy for stain-free histological imaging with principal component analysis

Jingjiang Xu, Baoshan Guo, Kenneth K. Y. Wong, Kevin K. Tsia

Author Affiliations +

Proceedings Volume 8948, Multiphoton Microscopy in the Biomedical Sciences XIV; 89480R (2014) https://doi.org/10.1117/12.2039215
Event: SPIE BiOS, 2014, San Francisco, California, United States

Abstract

Routine procedures in standard histopathology involve laborious steps of tissue processing and staining for final examination. New techniques which can bypass these procedures and thus minimize the tissue handling error would be of great clinical value. Coherent anti-Stokes Raman scattering (CARS) microscopy is an attractive tool for label-free biochemical-specific characterization of biological specimen. However, a vast majority of prior works on CARS (or stimulated Raman scattering (SRS)) bioimaging restricted analyses on a narrowband or well-distinctive Raman spectral signatures. Although hyperspectral SRS/CARS imaging has recently emerged as a better solution to access wider-band spectral information in the image, studies mostly focused on a limited spectral range, e.g. CH-stretching vibration of lipids, or non-biological samples. Hyperspectral image information in the congested fingerprint spectrum generally remains untapped for biological samples. In this regard, we further explore ultrabroadband hyperspectral multiplex (HM-CARS) to perform chemoselective histological imaging with the goal of exploring its utility in stain-free clinical histopathology. Using the supercontinuum Stokes, our system can access the CARS spectral window as wide as >2000cm^-1. In order to unravel the congested CARS spectra particularly in the fingerprint region, we first employ a spectral phase-retrieval algorithm based on Kramers–Kronig (KK) transform to minimize the non-resonant background in the CARS spectrum. We then apply principal component analysis (PCA) to identify and map the spatial distribution of different biochemical components in the tissues. We demonstrate chemoselective HM-CARS imaging of a colon tissue section which displays the key cellular structures that correspond well with standard stained-tissue observation.

Citation Download Citation

Jingjiang Xu, Baoshan Guo, Kenneth K. Y. Wong, and Kevin K. Tsia "Broadband hyperspectral coherent anti-Stokes Raman scattering microscopy for stain-free histological imaging with principal component analysis", Proc. SPIE 8948, Multiphoton Microscopy in the Biomedical Sciences XIV, 89480R (28 February 2014); https://doi.org/10.1117/12.2039215

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