Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks

Igor Meglinski*, Mariia Borovkova, Larysa Trifonyuk, Volodymyr Ushenko, Olexander Dubolazov, Oleg Vanchulyak, George Bodnar, Yurii Ushenko, Olena Olar, Olexander Ushenko, Michael Sakhnovskiy, Alexander Bykov

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

We introduce a Mueller-matrix imaging polarization-based approach for the quantitative digital screening of the polycrystalline structure of fibrillary-based biological tissues in vitro. The morphometric evaluation of histological sections of myocardium was performed utilizing the high-order statistical moments calculated based on the spatial distribution of linear and circular birefringence and dichroism obtained experimentally. We demonstrate that spatial distributions of phase of light and optical anisotropy of scattering inherent to fibrillar networks of myocardium at different necrotic stages can be effectively used as a quantitative marker of stages of myosin fibril degradation. Processing the images of phase of light scattered in biological tissues with high order statistical analysis provides a functional tool for the quantitative characterization of necrotic conditions of the myocardium.

Original languageEnglish
Article numbere0214494
JournalPLoS ONE
Volume14
Issue number5
DOIs
Publication statusPublished - 16 May 2019

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myocardium
Spatial distribution
Myocardium
image analysis
Polarization
Tissue
Imaging techniques
Optical anisotropy
Myosins
Birefringence
spatial distribution
Light
Statistical methods
Screening
Anisotropy
Scattering
myosin
Circular Dichroism
Degradation
statistical analysis

Bibliographical note

© 2019 Borovkova et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Cite this

Meglinski, Igor ; Borovkova, Mariia ; Trifonyuk, Larysa ; Ushenko, Volodymyr ; Dubolazov, Olexander ; Vanchulyak, Oleg ; Bodnar, George ; Ushenko, Yurii ; Olar, Olena ; Ushenko, Olexander ; Sakhnovskiy, Michael ; Bykov, Alexander. / Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks. In: PLoS ONE. 2019 ; Vol. 14, No. 5.
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Meglinski, I, Borovkova, M, Trifonyuk, L, Ushenko, V, Dubolazov, O, Vanchulyak, O, Bodnar, G, Ushenko, Y, Olar, O, Ushenko, O, Sakhnovskiy, M & Bykov, A 2019, 'Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks', PLoS ONE, vol. 14, no. 5, e0214494. https://doi.org/10.1371/journal.pone.0214494

Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks. / Meglinski, Igor; Borovkova, Mariia; Trifonyuk, Larysa; Ushenko, Volodymyr; Dubolazov, Olexander; Vanchulyak, Oleg; Bodnar, George; Ushenko, Yurii; Olar, Olena; Ushenko, Olexander; Sakhnovskiy, Michael; Bykov, Alexander.

In: PLoS ONE, Vol. 14, No. 5, e0214494, 16.05.2019.

Research output: Contribution to journalArticle

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AU - Ushenko, Yurii

AU - Olar, Olena

AU - Ushenko, Olexander

AU - Sakhnovskiy, Michael

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