DIFFERENTIAL MUELLER-MATRIX MAPPING OF THE POLYCRYSTALLINE COMPONENT OF BIOLOGICAL TISSUES OF HUMAN ORGANS
Andrei Padure
andrei.padure@usmf.mdNicolae Testemitanu State University of Medicine and Pharmacy (Moldova, Republic of)
https://orcid.org/0000-0003-4249-9172
Oksana Bakun
Bucovinian State Medical University (Ukraine)
Ivan Mikirin
Yuriy Fedkovych Chernivtsi National University (Ukraine)
Oleksandr Dubolazov
Yuriy Fedkovych Chernivtsi National University (Ukraine)
https://orcid.org/0000-0003-1051-2811
Iryna Soltys
Yuriy Fedkovych Chernivtsi National University (Ukraine)
https://orcid.org/0000-0003-2156-7404
Oleksandr Olar
Yuriy Fedkovych Chernivtsi National University (Ukraine)
Yuriy Ushenko
Yuriy Fedkovych Chernivtsi National University (Ukraine)
Oleksandr Ushenko
Yuriy Fedkovych Chernivtsi National University (Ukraine)
Irina Palii
National Pirogov Memorial Medical University (Ukraine)
Saule Kumargazhanova
D. Serikbayev East Kazakhstan Technical University (Kazakhstan)
https://orcid.org/0000-0002-6744-4023
Abstract
The article presents the materials of diagnostic application of the method of differential Mueller-matrix mapping of optically anisotropic architectonics of the layers of soft matter of the female reproductive sphere – histological sections of uterine biopsy. The efficiency and accuracy of differential diagnostics of benign and precancerous conditions of endometrial tissue are considered using statistical analysis of algorithmically reproduced maps of average values of linear and circular birefringence and dichroism parameters of optically anisotropic architectonics of representative samples of native histological sections of the uterine wall. The values of the balanced accuracy of differential diagnostics are presented by using the technique of statistical analysis of coordinate distributions of the mean values of the optical anisotropy parameters.
Keywords:
polarization, correlation, Mueller matrix, statistical analysis, biological tissuesReferences
[1] Ghosh N.: Tissue polarimetry: concepts, challenges, applications, and outlook. J. Biomed. Opt. 16, 2011, 110801.
DOI: https://doi.org/10.1117/1.3652896
Google Scholar
[2] Goodman J. W.: Statistical Properties of Laser Speckle Patterns. Springer, Berlin, Heidelberg 1975 [https://doi.org/10.1007/978-3-662-43205-1_2].
DOI: https://doi.org/10.1007/BFb0111436
Google Scholar
[3] Jacques S. L.: Polarized light imaging of biological tissues. Boas D., Pitris C., Ramanujam N. (eds.): Handbook of Biomedical Optics 2. CRC Press, Boca Raton 2011, 649–669.
Google Scholar
[4] Kim M. et al.: Optical diagnosis of gastric tissue biopsies with Mueller microscopy and statistical analysis. J. Europ. Opt. Soc. Rapid Publ. 18(2), 2022.
DOI: https://doi.org/10.1051/jeos/2022011
Google Scholar
[5] Lee H. R. et al.: Digital histology with Mueller polarimetry and fast DBSCAN. Appl. Opt. 61(32), 2022, 9616–9624.
DOI: https://doi.org/10.1364/AO.473095
Google Scholar
[6] Lee H. R. et al.: Digital histology with Mueller microscopy: how to mitigate an impact of tissue cut thickness fluctuations. J. Biomed. Opt. 24(7), 2019, 076004.
DOI: https://doi.org/10.1117/1.JBO.24.7.076004
Google Scholar
[7] Lee H.R. et al.: Mueller microscopy of anisotropic scattering media: theory and experiments, Proc. SPIE 10677, 2018, 1067718.
Google Scholar
[8] Li P. et al.: Analysis of tissue microstructure with Mueller microscopy: logarithmic decomposition and Monte Carlo modeling. J. Biomed. Opt. 25(1), 2020, 015002.
DOI: https://doi.org/10.1117/1.JBO.25.1.015002
Google Scholar
[9] Ma H., He H., Ramella-Roman J. C.: Mueller matrix microscopy. Polarized Light in Biomedical Imaging and Sensing. Springer, Cham 2023.
DOI: https://doi.org/10.1007/978-3-031-04741-1
Google Scholar
[10] Peyvasteh M. et al.: 3D Mueller-matrix-based azimuthal invariant tomography of polycrystalline structure within benign and malignant soft-tissue tumours. Laser Physics Letters 17(11), 2020, 115606.
DOI: https://doi.org/10.1088/1612-202X/abbee0
Google Scholar
[11] Ushenko A. G., Pishak V. P.: Laser Polarimetry of Biological Tissues: Principles and Applications. Tuchin V. V. (ed.): Handbook of Coherent Domain Optical Methods. Springer US, 2004, 93–138.
DOI: https://doi.org/10.1007/0-387-29989-0_3
Google Scholar
[12] Ushenko A. et.al.: Stokes-correlometry analysis of biological tissues with polycrystalline structure. IEEE Journal of Selected Topics in Quantum Electronics 25(1), 2018, 1–12.
DOI: https://doi.org/10.1109/JSTQE.2018.2865443
Google Scholar
[13] Ushenko V. A. et.al.: Biomedical applications of Jones-matrix tomography to polycrystalline films of biological fluids. Journal of Innovative Optical Health Sciences 12(06), 2019, 1950017.
DOI: https://doi.org/10.1142/S1793545819500172
Google Scholar
[14] Vitkin A., Ghosh N., de Martino A.: Tissue polarimetry. Andrews D. L. (ed.): Photonics: Scientific Foundations, Technology and Applications, Vol. IV. John Wiley & Sons Inc., New Jersey 2015, 239–321.
DOI: https://doi.org/10.1002/9781119011804.ch7
Google Scholar
[15] Wang R. K., Tuchin V. V. (eds.): Advanced Biophotonics: Tissue Optical Sectioning. CRC Press, Taylor & Francis Group, London 2013.
Google Scholar
[16] Zabolotna N. I. et al.: System of the phase tomography of optically anisotropic polycrystalline films of biological fluids. SPIE Proc. 9166, 2014, 916616.
DOI: https://doi.org/10.1117/12.2061116
Google Scholar
Authors
Andrei Padureandrei.padure@usmf.md
Nicolae Testemitanu State University of Medicine and Pharmacy Moldova, Republic of
https://orcid.org/0000-0003-4249-9172
Authors
Oksana BakunBucovinian State Medical University Ukraine
Authors
Ivan MikirinYuriy Fedkovych Chernivtsi National University Ukraine
Authors
Oleksandr DubolazovYuriy Fedkovych Chernivtsi National University Ukraine
https://orcid.org/0000-0003-1051-2811
Authors
Iryna SoltysYuriy Fedkovych Chernivtsi National University Ukraine
https://orcid.org/0000-0003-2156-7404
Authors
Oleksandr OlarYuriy Fedkovych Chernivtsi National University Ukraine
Authors
Yuriy UshenkoYuriy Fedkovych Chernivtsi National University Ukraine
Authors
Oleksandr UshenkoYuriy Fedkovych Chernivtsi National University Ukraine
Authors
Irina PaliiNational Pirogov Memorial Medical University Ukraine
Authors
Saule KumargazhanovaD. Serikbayev East Kazakhstan Technical University Kazakhstan
https://orcid.org/0000-0002-6744-4023
Statistics
Abstract views: 127PDF downloads: 99
Most read articles by the same author(s)
- Madina Bazarova, Waldemar Wójcik, Gulnaz Zhomartkyzy, Saule Kumargazhanova, Galina Popova , KNOWLEDGE TRANSFER AS ONE OF THE FACTORS OF INCREASING UNIVERSITY COMPETITIVENESS , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 9 No. 3 (2019)
- Yosyp Bilynsky, Aleksandr Nikolskyy, Viktor Revenok, Vasyl Pogorilyi, Saule Smailova, Oksana Voloshina, Saule Kumargazhanova, CONVOLUTIONAL NEURAL NETWORKS FOR EARLY COMPUTER DIAGNOSIS OF CHILD DYSPLASIA , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 13 No. 2 (2023)
- Roman Obertyukh, Andrіі Slabkyі, Leonid Polishchuk, Oleksandr Povstianoi, Saule Kumargazhanova, Maxatbek Satymbekov, DYNAMIC AND MATHEMATICAL MODELS OF THE HYDROIMPULSIVE VIBRO-CUTTING DEVICE WITH A PRESSURE PULSE GENERATOR BULT INTO THE RING SPRING , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 12 No. 3 (2022)
- Leonid Timchenko, Natalia Kokriatskaia, Volodymyr Tverdomed, Natalia Kalashnik, Iryna Shvarts, Vladyslav Plisenko, Dmytro Zhuk, Saule Kumargazhanova, LOCAL DIFFERENCE THRESHOLD LEARNING IN FILTERING NORMAL WHITE NOISE , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 13 No. 2 (2023)
- Anna Vitiuk, Leonid Polishchuk, Nataliia B. Savina, Oksana O. Adler, Gulzhan Kashaganova, Saule Kumargazhanova, ENGINEERING AND TECHNICAL ASSESSMENT OF THE COMPETITIVENESS OF UKRAINIAN MECHANICAL ENGINEERING ENTERPRISES BASED ON THE APPLICATION OF REGRESSION MODELS , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 13 No. 3 (2023)
- Vira Petruk, Olena Prozor, Yuliia Sabadosh, Iryna Baranovska, Maksim Palii, Yevheniia Moroz, Saule Kumargazhanova, Dinara Mussayeva, STATISTICAL METHODS FOR EVALUATING EXPERIMENTAL DATA ON THE USE OF MATHEMATICAL COMPETENCIES IN STUDY FOR A RESILIENT ECONOMY , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 13 No. 2 (2023)
- Roman Kvуetnyy, Yuriy Bunyak, Olga Sofina, Volodymyr Kotsiubynskyi, Tetiana Piliavoz, Olena Stoliarenko, Saule Kumargazhanova, TENSOR AND VECTOR APPROACHES TO OBJECTS RECOGNITION BY INVERSE FEATURE FILTERS , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 14 No. 1 (2024)
- Kateryna Barandych, Sergii Vysloukh, Grygoriy Tymchyk, Oleksandr Murashchenko, Saule Smailova, Saule Kumargazhanova, OPTIMIZATION OF PARTS CUTTING PROCESS PARAMETERS WORKING IN CONDITIONS OF CYCLIC LOADS , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 13 No. 3 (2023)
- Nataliia Kozan, Oleksandr Saleha, Olexander Dubolazov, Yuriy Ushenko, Iryna Soltys, Oleksandr Ushenko, Oleksandr Olar, Victor Paliy, Saule Smailova, POLARIZATION-CORRELATION MAPPING OF MICROSCOPIC IMAGES OF BIOLOGICAL TISSUES OF DIFFERENT MORPHOLOGICAL STRUCTURE , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 14 No. 3 (2024)
- Olexandra Litvinenko, Victor Paliy, Olena Vуsotska, Inna Vishtak, Saule Kumargazhanova, POLARIZATION TOMOGRAPHY OF THE POLYCRYSTALINNE STRUCTURE OF HISTOLOGICAL SECTIONS OF HUMAN ORGANS IN DETERMINATION OF THE OLD DAMAGE , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 12 No. 4 (2022)
