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Proceedings Paper

Differential diagnostics of paraffin-embedded tissues by IR-THz spectroscopy and machine learning
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Paper 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%).

Paper Details

Date Published: 2 April 2020
PDF: 7 pages
Proc. SPIE 11363, Tissue Optics and Photonics, 113630J (2 April 2020); doi: 10.1117/12.2555632
Show Author Affiliations
Yury V. Kistenev, National Research Tomsk State Univ. (Russian Federation)
Siberian State Medical Univ. (Russian Federation)
Alexey V. Borisov, National Research Tomsk State Univ. (Russian Federation)
Siberian State Medical Univ. (Russian Federation)
Anastasia I. Knyazkova, National Research Tomsk State Univ. (Russian Federation)
Institute of Strength Physics and Materials Science (Russian Federation)
Viktor V. Nikolaev, National Research Tomsk State Univ. (Russian Federation)
Institute of Strength Physics and Materials Science (Russian Federation)
Alica A. Samarinova, National Research Tomsk State Univ. (Russian Federation)
Nikita A. Navolokin, Saratov State Medical Univ. (Russian Federation)
Daria K. Tuchina, National Research Tomsk State Univ. (Russian Federation)
Saratov National Research State Univ. (Russian Federation)
Valery V. Tuchin, National Research Tomsk State Univ. (Russian Federation)
Saratov National Research State Univ. (Russian Federation)
Institute of Precision Mechanics and Control (Russian Federation)


Published in SPIE Proceedings Vol. 11363:
Tissue Optics and Photonics
Valery V. Tuchin; Walter C. P. M. Blondel; Zeev Zalevsky, Editor(s)

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