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Borovkova M, Trifonyuk L, Ushenko V, Dubolazov O, Vanchulyak O, Bodnar G, et al. (2019) Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks. PLoS ONE 14(5): e0214494. https://doi.org/10.1371/journal.pone.0214494

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

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Author: Borovkova, Mariia1; Trifonyuk, Larysa2; Ushenko, Volodymyr3;
Organizations: 1Optoelectronics and Measurement Techniques, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
2Rivne State Medical Center, Rivne, Ukraine
3Department of Correlation Optics, Chernivtsi National University, Chernivtsi, Ukraine
4Department of Optics and Publishing Business Chernivtsi National University, Chernivtsi, Ukraine
5Department of Forensic Medicine, Bukovinian State Medical University, Chernivtsi, Ukraine
6Department of Computer Science, Chernivtsi National University, Chernivtsi, Ukraine
7National Research Tomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, Russia
8Institute of Engineering Physics for Biomedicine (PhysBio), National Research Nuclear University “MEPhI”, Moscow, Russia
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019101532695
Language: English
Published: Public Library of Science, 2019
Publish Date: 2019-10-15
Description:

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.

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Series: PLoS one
ISSN: 1932-6203
ISSN-E: 1932-6203
ISSN-L: 1932-6203
Volume: 14
Issue: 5
Article number: e0214494
DOI: 10.1371/journal.pone.0214494
OADOI: https://oadoi.org/10.1371/journal.pone.0214494
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Article
Funding: This project was supported by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 713606 (MB). Author IM acknowledges support provided by INFOTECH strategic funding from the University of Oulu, MEPhI (Moscow Engineering Physics Institute) Academic Excellence Project (Contract No. 02.a03.21.0005) and the National Research Tomsk State University Academic D.I. Mendeleev Fund Programme. Author AB acknowledges funding from the Academy of Finland (314369 and 290596).
EU Grant Number: (713606) I4FUTURE - Novel Imaging and Characterisation Methods in Bio, Medical, and Environmental Research and Technology Innovations
Academy of Finland Grant Number: 314369
290596
Detailed Information: 314369 (Academy of Finland Funding decision)
290596 (Academy of Finland Funding decision)
Copyright 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.
  https://creativecommons.org/licenses/by/4.0/