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Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks
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 statist...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522018/ https://www.ncbi.nlm.nih.gov/pubmed/31095594 http://dx.doi.org/10.1371/journal.pone.0214494 |
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author | Borovkova, Mariia Trifonyuk, Larysa Ushenko, Volodymyr Dubolazov, Olexander Vanchulyak, Oleg Bodnar, George Ushenko, Yurii Olar, Olena Ushenko, Olexander Sakhnovskiy, Michael Bykov, Alexander Meglinski, Igor |
author_facet | Borovkova, Mariia Trifonyuk, Larysa Ushenko, Volodymyr Dubolazov, Olexander Vanchulyak, Oleg Bodnar, George Ushenko, Yurii Olar, Olena Ushenko, Olexander Sakhnovskiy, Michael Bykov, Alexander Meglinski, Igor |
author_sort | Borovkova, Mariia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6522018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65220182019-05-31 Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks Borovkova, Mariia Trifonyuk, Larysa Ushenko, Volodymyr Dubolazov, Olexander Vanchulyak, Oleg Bodnar, George Ushenko, Yurii Olar, Olena Ushenko, Olexander Sakhnovskiy, Michael Bykov, Alexander Meglinski, Igor PLoS One Research Article 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. Public Library of Science 2019-05-16 /pmc/articles/PMC6522018/ /pubmed/31095594 http://dx.doi.org/10.1371/journal.pone.0214494 Text en © 2019 Borovkova et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Borovkova, Mariia Trifonyuk, Larysa Ushenko, Volodymyr Dubolazov, Olexander Vanchulyak, Oleg Bodnar, George Ushenko, Yurii Olar, Olena Ushenko, Olexander Sakhnovskiy, Michael Bykov, Alexander Meglinski, Igor Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks |
title | Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks |
title_full | Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks |
title_fullStr | Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks |
title_full_unstemmed | Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks |
title_short | Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks |
title_sort | mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522018/ https://www.ncbi.nlm.nih.gov/pubmed/31095594 http://dx.doi.org/10.1371/journal.pone.0214494 |
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