A. Ushenko et al., "Stokes-Correlometry Analysis of Biological Tissues With Polycrystalline Structure," in IEEE Journal of Selected Topics in Quantum Electronics, vol. 25, no. 1, pp. 1-12, Jan.-Feb. 2019, Art no. 7101612. doi: 10.1109/JSTQE.2018.2865443
Stokes-correlometry analysis of biological tissues with polycrystalline structure
|Author:||Ushenko, Alexander1; Sdobnov, Anton2; Dubolazov, Alexander1;|
1Chernivtsi National University, Chernivtsi 58012, Ukraine
2Opto-Electronic and Measurement Techniques, University of Oulu, Oulu 90014
3Interdisciplinary Laboratory of Biophotonics, National Research Tomsk State University, Tomsk 634050, Russia
4National Research Nuclear University “MEPhI,”Institute of Engineering Physics for Biomedicine (PhysBio), Moscow 115409, Russia
|Online Access:||PDF Full Text (PDF, 1.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019041512267
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2019-04-15
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.
IEEE journal of selected topics in quantum electronics
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
114 Physical sciences
217 Medical engineering
This work was supported in part by the Academy of Finland under Grants 311698 and 290596, in part by Tomsk State University Academic D. I. Mendeleev Fund Program, and in part by the National Research Nuclear University MEPhI’s Academic Excellence Project under Contract 02.a03.21.0005.
|Academy of Finland Grant Number:||
311698 (Academy of Finland Funding decision)
290596 (Academy of Finland Funding decision)
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