University of Oulu

Peyvasteh, M., Dubolazov, A., Popov, A., Ushenko, A., Ushenko, Y., & Meglinski, I. (2020). Two-point Stokes vector diagnostic approach for characterization of optically anisotropic biological tissues. Journal of Physics D: Applied Physics, 53(39), 395401. https://doi.org/10.1088/1361-6463/ab9571

Two-point Stokes vector diagnostic approach for characterization of optically anisotropic biological tissues

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Author: Peyvasteh, Motahareh1; Dubolazov, Alexander2; Popov, Alexey3;
Organizations: 1Opto-Electronic and Measurement Techniques Research Unit, University of Oulu, P.O. Box 4500, 90014, Oulu, Finland
2Optics and Publishing Department, Chernivtsi National University, 2 Kotsiubynskyi Str., 58012, Chernivtsi, Ukraine
3VTT Technical Research Centre of Finland, 90590, Oulu, Finland
4Aston Institute of Materials Research, School of Engineering and Applied Science, Aston University, B4 7ET, Birmingham, United Kingdom
5School of Life and Health Sciences, Aston University, B4 7ET, Birmingham, United Kingdom
6Interdisciplinary Laboratory of Biophotonics, National Research Tomsk State University, 634050, Tomsk, Russia
7Institute of Engineering Physics for Biomedicine (PhysBio), National Research Nuclear University ‘MEPhI’, 15409, Moscow, Russia
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020090267172
Language: English
Published: IOP Publishing, 2020
Publish Date: 2020-09-02
Description:

Abstract

The purpose of the study is to demonstrate a new method of Stokes-correlometric evaluation of polarization-inhomogeneous images of optically thin (optical thickness smaller than 0.01) histological sections from optically anisotropic biological tissues of different morphological structure. This method is based on a correlation (“two-point”) generalization of traditional optical methods for analyzing “one-point” distributions of polarization states of microscopic images of biological tissues. Analytical algorithms are obtained for describing the “two-point” complex parameters of the Stokes vector image of a birefringent biological tissue. An experimental technique has been developed for measuring polarization-correlation maps, i.e. the coordinate distributions of the magnitude and phase of the “two-point” Stokes vector parameters. Within the framework of the statistical and correlation analysis of the obtained data, new quantitative criteria for the differentiation of the optical properties of biological tissues of various morphological structures are found. A comparative analysis of the distribution of the “single-point” and “two-point” parameters of the Stokes vector of polarizationally inhomogeneous images was performed. It revealed a higher sensitivity (2–5 times) of the Stokes-correlometry method to variations in orientation-phase structure of biological tissues compared to the single-point approach.

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Series: Journal of physics. D, Applied physics
ISSN: 0022-3727
ISSN-E: 1361-6463
ISSN-L: 0022-3727
Volume: 53
Issue: 39
Article number: 395401
DOI: 10.1088/1361-6463/ab9571
OADOI: https://oadoi.org/10.1088/1361-6463/ab9571
Type of Publication: A1 Journal article – refereed
Field of Science: 114 Physical sciences
Subjects:
Funding: This work received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie (Grant Agreement No. 713606, MP); Academy of Finland (Grant Nos. 326204 and 325097, IM and 314369, AP), INFOTECH grant project (IM), MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005, IM), and National Research Tomsk State University Academic D.I. Mendeleev Fund Program (IM).
EU Grant Number: (713606) I4FUTURE - Novel Imaging and Characterisation Methods in Bio, Medical, and Environmental Research and Technology Innovations
Academy of Finland Grant Number: 326204
325097
314369
Detailed Information: 326204 (Academy of Finland Funding decision)
325097 (Academy of Finland Funding decision)
314369 (Academy of Finland Funding decision)
Copyright information: © The Authors 2020. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
  https://creativecommons.org/licenses/by/4.0/