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

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Differential diagnosis of paraffin-embedded tissues by IR-THz spectroscopy and machine learning	617 KB	Adobe Acrobat PDF	Read	Download
DOI Доступ к ресурсу на сайте издателя			10.1117/12.2555632

Title: Differential diagnosis of paraffin-embedded tissues by IR-THz spectroscopy and machine learning
Creator: Borisov, Alexey V.
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Knyazkova, Anastasia I.
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Nikolaev, Viktor V.
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Samarinova, Alica A.
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Navolokin, Nikita A.
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Tuchina, Daria K.
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Tuchin, Valery V.
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Kistenev, Yury V.
Date: 2020
DOI: 10.1117/12.2555632
Description: 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%).