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

Pohling C, Bocklitz T, Duarte AS, Emmanuello C, Ishikawa MS, Dietzeck B, Buckup T, Uckermann O, Schackert G, Kirsch M, Schmitt M, Popp J, Motzkus M (2017)

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Publication Type: Journal article

Publication year: 2017

Journal

Book Volume: 22

Article Number: 066005

Journal Issue: 6

DOI: 10.1117/1.JBO.22.6.066005

Abstract

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.

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How to cite

APA:

Pohling, C., Bocklitz, T., Duarte, A.S., Emmanuello, C., Ishikawa, M.S., Dietzeck, B.,... Motzkus, M. (2017). Multiplex coherent anti-Stokes Raman scattering microspectroscopy of brain tissue with higher ranking data classification for biomedical imaging. Journal of Biomedical Optics, 22(6). https://doi.org/10.1117/1.JBO.22.6.066005

MLA:

Pohling, Christoph, et al. "Multiplex coherent anti-Stokes Raman scattering microspectroscopy of brain tissue with higher ranking data classification for biomedical imaging." Journal of Biomedical Optics 22.6 (2017).

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