Stokes-Correlometry Analysis of Biological Tissues with Polycrystalline Structure

Igor Meglinski*, Alexander Ushenko, Anton Sdobnov, Alexander Dubolazov, Marta Grytsiuk, Yuriy Ushenko, Alexander Bykov

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

Utilizing Stokes-correlometry analysis a new diagnostic approach has been introduced for quantitative assessment of polarization images of histological sections of optically anisotropic biological tissues with different morphological structures and physiological conditions. The developed approach is based on the quantitative assessment of coordinate and phase distributions of the Stokes vector of scattered light. A combined use of statistic, correlation, and fractal analysis is used for resolving variations in optical anisotropy of biological samples. The proposed combined application of the statistical, correlation, and fractal-based evaluates of spatial distributions of 'single-point' polarization azimuth, ellipticity, and 'two-point' Stokes vector parameters of polarization images of biological tissues histological sections demonstrates a high accuracy ( Ac ≥90%) in monitoring of optical anisotropy variations within biological tissues.

Original languageEnglish
Article number8438957
JournalIEEE Journal of Selected Topics in Quantum Electronics
Volume25
Issue number1
Early online date17 Aug 2018
DOIs
Publication statusPublished - 1 Jan 2019

Fingerprint

Optical anisotropy
Polarization
Tissue
Fractals
fractals
polarization
statistical correlation
anisotropy
ellipticity
azimuth
Spatial distribution
spatial distribution
Statistics
statistics
Monitoring

Keywords

  • ellipsometry and polarimetry
  • Polarimetric imaging
  • polarization
  • Stokes-correlometry

Cite this

Meglinski, Igor ; Ushenko, Alexander ; Sdobnov, Anton ; Dubolazov, Alexander ; Grytsiuk, Marta ; Ushenko, Yuriy ; Bykov, Alexander. / Stokes-Correlometry Analysis of Biological Tissues with Polycrystalline Structure. In: IEEE Journal of Selected Topics in Quantum Electronics. 2019 ; Vol. 25, No. 1.
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abstract = "Utilizing Stokes-correlometry analysis a new diagnostic approach has been introduced for quantitative assessment of polarization images of histological sections of optically anisotropic biological tissues with different morphological structures and physiological conditions. The developed approach is based on the quantitative assessment of coordinate and phase distributions of the Stokes vector of scattered light. A combined use of statistic, correlation, and fractal analysis is used for resolving variations in optical anisotropy of biological samples. The proposed combined application of the statistical, correlation, and fractal-based evaluates of spatial distributions of 'single-point' polarization azimuth, ellipticity, and 'two-point' Stokes vector parameters of polarization images of biological tissues histological sections demonstrates a high accuracy ( Ac ≥90{\%}) in monitoring of optical anisotropy variations within biological tissues.",
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Stokes-Correlometry Analysis of Biological Tissues with Polycrystalline Structure. / Meglinski, Igor; Ushenko, Alexander; Sdobnov, Anton; Dubolazov, Alexander; Grytsiuk, Marta; Ushenko, Yuriy; Bykov, Alexander.

In: IEEE Journal of Selected Topics in Quantum Electronics, Vol. 25, No. 1, 8438957, 01.01.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Stokes-Correlometry Analysis of Biological Tissues with Polycrystalline Structure

AU - Meglinski, Igor

AU - Ushenko, Alexander

AU - Sdobnov, Anton

AU - Dubolazov, Alexander

AU - Grytsiuk, Marta

AU - Ushenko, Yuriy

AU - Bykov, Alexander

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AB - Utilizing Stokes-correlometry analysis a new diagnostic approach has been introduced for quantitative assessment of polarization images of histological sections of optically anisotropic biological tissues with different morphological structures and physiological conditions. The developed approach is based on the quantitative assessment of coordinate and phase distributions of the Stokes vector of scattered light. A combined use of statistic, correlation, and fractal analysis is used for resolving variations in optical anisotropy of biological samples. The proposed combined application of the statistical, correlation, and fractal-based evaluates of spatial distributions of 'single-point' polarization azimuth, ellipticity, and 'two-point' Stokes vector parameters of polarization images of biological tissues histological sections demonstrates a high accuracy ( Ac ≥90%) in monitoring of optical anisotropy variations within biological tissues.

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KW - Polarimetric imaging

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