Differential diagnostics of paraffin-embedded tissues by IR-THz spectroscopy and machine learning

Yury V. Kistenev; Alexey V. Borisov; Anastasia I. Knyazkova; Viktor V. Nikolaev; Alica A. Samarinova; Nikita A. Navolokin; Daria K. Tuchina; Valery V. Tuchin

doi:10.1117/12.2555632

2 April 2020 Differential diagnostics of paraffin-embedded tissues by IR-THz spectroscopy and machine learning

Yury V. Kistenev, Alexey V. Borisov, Anastasia I. Knyazkova, Viktor V. Nikolaev, Alica A. Samarinova, Nikita A. Navolokin, Daria K. Tuchina, Valery V. Tuchin

Author Affiliations +

Proceedings Volume 11363, Tissue Optics and Photonics; 113630J (2020) https://doi.org/10.1117/12.2555632
Event: SPIE Photonics Europe, 2020, Online Only

Abstract

The ability of diagnostics of melanoma and nevus based on spectral analysis of paraffin-embedded tissues in the 0.3-1.5 terahertz (THz) range has been carried out. The principal component analysis was applied to reduce the dimension of the feature space. A comparison of these spectra shows evident differences between samples. The possibility of applying the optical clearing to paraffin-embedded tissue for improving the visualization of the internal structure of tissue for diagnostic and research purposes is shown. In the studies, a sufficiently strong effect of optical clearing of paraffin-embedded muscle was obtained (63%).

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Yury V. Kistenev, Alexey V. Borisov, Anastasia I. Knyazkova, Viktor V. Nikolaev, Alica A. Samarinova, Nikita A. Navolokin, Daria K. Tuchina, and Valery V. Tuchin "Differential diagnostics of paraffin-embedded tissues by IR-THz spectroscopy and machine learning", Proc. SPIE 11363, Tissue Optics and Photonics, 113630J (2 April 2020); https://doi.org/10.1117/12.2555632

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