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

Title data

Pohling, Christoph ; Bocklitz, Thomas ; Duarte, Alex S. ; Emmanuello, Cinzia ; Ishikawa, Mariana S. ; Dietzeck, Benjamin ; Buckup, Tiago ; Uckermann, Ortrud ; Schackert, Gabriele ; Kirsch, Matthias ; Schmitt, Michael ; Popp, Jürgen ; Motzkus, Marcus:
Multiplex coherent anti-Stokes Raman scattering microspectroscopy of brain tissue with higher ranking data classification for biomedical imaging.
In: Journal of Biomedical Optics. Vol. 22 (2017) Issue 6 . - 066005.
ISSN 1560-2281
DOI: https://doi.org/10.1117/1.JBO.22.6.066005

Official URL:

Abstract in another language

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.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Institutions of the University:	Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Result of work at the UBT:	No
DDC Subjects:	500 Science > 530 Physics
Date Deposited:	15 May 2023 12:51
Last Modified:	15 May 2023 12:51
URI:	https://eref.uni-bayreuth.de/id/eprint/76354