THz and IR molecular imaging of paraffin-embedded cancerous tissues
Knyazkova A.I.1,2, Samarinova A.A.1, Borisov A.V.1,3, Skiba V.E.1, Kistenev Yu.V.1,3
1Tomsk State University, Tomsk, Russia
2Institute of Strength Physics and Materials Science SB RAS, Tomsk, Russia
3Siberian State Medical University, Tomsk, Russia
Abstract
The promising method for diagnosing pathological tissue changes at oncological diseases is the combination of THz spectroscopy and multiphoton imaging and machine learning. THz spectroscopy provides investigate dehydrated cancerous tissues. Multiphoton microscopy has great potential for visualizing a morphological structure of tissue samples. The aim of the report is a discussion of the ability of classification of cancerous tissue samples using THz and IR molecular imaging and machine learning.
This work was performed under the Government statement of work for ISPMS Project No. III.23.2.10, and with partial financial support from the Russian Foundation for Basic Research, Grant No. №17-00-00275 (17-00-00186).
Speaker
Knyazkova Anastasia
Tomsk State University, Institute of Strength Physics and Materials Science SB RAS
Russia
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