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

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.

Publication DOI: https://doi.org/10.1371/journal.pone.0214494
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences
Additional Information: © 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.
Uncontrolled Keywords: Biochemistry, Genetics and Molecular Biology(all),Agricultural and Biological Sciences(all)
Publication ISSN: 1932-6203
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2019-05-16
Accepted Date: 2019-03-15
Authors: Meglinski, Igor (ORCID Profile 0000-0002-7613-8191)
Borovkova, Mariia
Trifonyuk, Larysa
Ushenko, Volodymyr
Dubolazov, Olexander
Vanchulyak, Oleg
Bodnar, George
Ushenko, Yurii
Olar, Olena
Ushenko, Olexander
Sakhnovskiy, Michael
Bykov, Alexander

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