Multiplex coherent anti-Stokes Raman scattering microspectroscopy of brain tissue with higher ranking data classification for biomedical imaging

作者：Pohling Christoph; Bocklitz Thomas; Bocklitz Thomas; Duarte Alex S.; Emmanuello Cinzia; Ishikawa Mariana S.; Dietzeck Benjamin; Dietzeck Benjamin; Buckup Tiago; Uckermann Ortrud; Schackert Gabriele; Kirsch Matthias; Schmitt Michael; Popp Jü rgen; Popp Jü rgen; Popp Jü rgen; Motzkus Marcus

来源：Journal of Biomedical Optics, 2017, 22(6): 066005.

DOI：10.1117/1.JBO.22.6.066005

• Biomedical imaging
• cancer
• Coherent anti Stokes Raman scattering
• Data classification
• Micro spectroscopy
• Raman
• Spectral differences
• Spectral intensity

Multiplex coherent anti-Stokes Raman scattering (MCARS) microscopy was carried out to map a solid tumor in mouse brain tissue. The border between normal and tumor tissue was visualized using support vector machines (SVM) as a higher ranking type of data classification. Training data were collected separately in both tissue types, and the image contrast is based on class affiliation of the single spectra. Color coding in the image generated by SVM is then related to pathological information instead of single spectral intensities or spectral differences within the data set. The results show good agreement with the H&E stained reference and spontaneous Raman microscopy, proving the validity of the MCARS approach in combination with SVM.