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Title: | Multiparametric polarization histology in the detection of traumatic changes in the optical anisotropy of biological tissues |
Authors: | Litvinenko, A. Garazdyuk, M. Bachinsky, V. Vanchulyak, O. Ushenko, A. Ushenko, Yu. Dubolazov, A. Gorodensky, P. Yatsko, O. Bin, Lin Zhebo, Chen |
Keywords: | polarization biological tissues optical anisotropy Mueller matrix diagnostics |
Issue Date: | 2020 |
Publisher: | Proc. of SPIE Applications of Digital Image Processing XLIII. Vol. 11510, Part One of Two Parts (24 August – 4 September 2020 Online Only, United States) |
Abstract: | Abstract. For a high-precision objective histological determination of the prescription of damage to internal organs over a long period of time, a systematic approach was used based on digital azimuthally invariant polarizing, Mueller-matrix and tomographic methods for studying temporary changes in the molecular and polycrystalline structure of brain, liver and kidney samples in the post-mortal period. It was revealed that a linear change in the magnitude of statistical moments of the 1st-4th orders characterizing the distribution of data of digital azimuthally invariant polarizing, Mueller-matrix and tomographic methods is interconnected with the duration of damage to internal organs. On this basis, a new algorithm for digital histological determination of the prescription of the occurrence of damage is proposed. To determine the extent of damage, the method of azimuthally invariant polarization microscopy with different magnification of the image of histological sections of tissues of internal organs was used, which provided diagnostic relationships between changes in the magnitude of statistical moments of the 1st to 4th orders, which characterize the azimuth and elliptic polarization maps of digital microscopic images and time intervals of damage duration. |
URI: | http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/26307 |
Appears in Collections: | Статті. Кафедра судової медицини та медичного правознавства |
Files in This Item:
File | Description | Size | Format | |
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Litvinenko A. et al. Multiparametric_2020.pdf | 337.1 kB | Adobe PDF | View/Open |
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