POLARIZATION TOMOGRAPHY OF THE POLYCRYSTALINNE STRUCTURE OF HISTOLOGICAL SECTIONS OF HUMAN ORGANS IN DETERMINATION OF THE OLD DAMAGE
Olexandra Litvinenko
sawasawa901@gmail.comHigher State Educational Institution of Ukraine „Bukovynian State Medical University” (Ukraine)
http://orcid.org/0000-0003-3897-6765
Victor Paliy
National Aerospace University H.E. Zhukovsky „Kharkiv Aviation Institute” (Ukraine)
http://orcid.org/0000-0002-2289-1786
Olena Vуsotska
National Pirogov Memorial University of Vinnytsia (Ukraine)
http://orcid.org/0000-0003-3723-9771
Inna Vishtak
Vinnytsia National Technical University (Ukraine)
http://orcid.org/0000-0001-5646-4996
Saule Kumargazhanova
D. Serikbayev East Kazakhstan Technical University (Kazakhstan)
http://orcid.org/0000-0002-6744-4023
Abstract
The results of algorithmic approbation of the technique of polarization tomography digital histological study of the age of damage to the myocardium and lung tissue based on the polarization reconstruction of linear birefringence maps are presented. Relationships between the temporal change in the magnitude of statistical moments of 1-4 orders characterizing the distribution of the magnitude of the degree of crystallization of histological sections of the myocardium and lung tissue and the duration of damage were determined. Established time intervals and accuracy of determining the prescription of damage to the myocardium and lung tissue.
Keywords:
polarization, tomography, optical anisotropy, biological tissuesReferences
Avrunin, O. G. et al.: Possibilities of automated diagnostics of odontogenic sinusitis according to the computer tomography data. Sensors 21(4), 2021, 1–22.
DOI: https://doi.org/10.3390/s21041198
Google Scholar
Blatter C. et al.: Dove prism based rotating dual beam bidirectional Doppler oct. Biomed. Opt. Express 4, 2013, 1188–1203.
DOI: https://doi.org/10.1364/BOE.4.001188
Google Scholar
Hong Y.-J. et al.: Optically buffered Jones-matrix-based multifunctional optical coherence tomography with polarization mode dispersion correction. Biomed. Opt. Express 1, 2015, 225–243.
DOI: https://doi.org/10.1364/BOE.6.000225
Google Scholar
Isaieva O. A. et al.: Features of image analysis under UV-video dermoscopy. Proc. of SPIE 11456, 2020, 114560H.
DOI: https://doi.org/10.1117/12.2569774
Google Scholar
Kovalova A. et al.: Possibilities of automated image processing at optical capillaroscopy. Proc. of SPIE 11456, 2020, 114560G.
DOI: https://doi.org/10.1117/12.2569772
Google Scholar
Macdonald C., Meglinski I.: Backscattering of circular polarized light from a disperse random medium influenced by optical clearing. Laser Phys. Lett. 8(4), 2011, 324–328.
DOI: https://doi.org/10.1002/lapl.201010133
Google Scholar
Park B. H., de Boer J. F.: Polarization sensitive optical coherence tomography. In: Drexler W., Fujimoto J. G. (Eds.): Optical Coherence Tomography: Technology and Applications, 2nd ed. Springer Reference, Science + Business Media, New York 2015, 1055–1101.
DOI: https://doi.org/10.1007/978-3-319-06419-2_34
Google Scholar
Peyvasteh M., Tryfonyuk L. 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
Rovira J. R. et al.: Methods and resources for imaging polarimetry. Proc. of SPIE 8698, 2012, 86980T.
DOI: https://doi.org/10.1117/12.2019732
Google Scholar
Ushenko V. A. et al.: 3D Mueller matrix mapping of layered distributions of depolarisation degree for analysis of prostate adenoma and carcinoma diffuse tissues. Scientific Reports 11(1), 2021, 5162.
DOI: https://doi.org/10.1038/s41598-021-83986-4
Google Scholar
Ushenko V. A. et al.: Embossed topographic depolarisation maps of biological tissues with different morphological structures. Scientific Reports 11(1), 2021, 3871.
DOI: https://doi.org/10.1038/s41598-021-83017-2
Google Scholar
Wang W. et al.: Roles of linear and circular polarization properties and effect of wavelength choice on differentiation between ex vivo normal and cancerous gastric samples. J. Biomed. Opt. 19(4), 2014, 046020.
DOI: https://doi.org/10.1117/1.JBO.19.4.046020
Google Scholar
Wójcik W. et al.: Information Technology in Medical Diagnostics II. Taylor & Francis Group, CRC Press, Balkema book, London 2019.
DOI: https://doi.org/10.1201/9780429057618
Google Scholar
Yamanari M. et al.: Scleral birefringence as measured by polarizationsensitive optical coherence tomography and ocular biometric parameters of human eyes in vivo. Biomed. Opt. Express 5(5), 2014, 1391–1402.
DOI: https://doi.org/10.1364/BOE.5.001391
Google Scholar
Yasuno Y. et al.: Jones Matrix based polarization sensitive optical coherence tomography. In: Drexler W., Fujimoto J. G. (Eds.): Optical Coherence Tomography: Technology and Applications, 2nd ed. Springer Reference, Science + Business Media, New York 2015, 1137–1162.
DOI: https://doi.org/10.1007/978-3-319-06419-2_36
Google Scholar
Authors
Olexandra Litvinenkosawasawa901@gmail.com
Higher State Educational Institution of Ukraine „Bukovynian State Medical University” Ukraine
http://orcid.org/0000-0003-3897-6765
Authors
Victor PaliyNational Aerospace University H.E. Zhukovsky „Kharkiv Aviation Institute” Ukraine
http://orcid.org/0000-0002-2289-1786
Authors
Olena VуsotskaNational Pirogov Memorial University of Vinnytsia Ukraine
http://orcid.org/0000-0003-3723-9771
Authors
Inna VishtakVinnytsia National Technical University Ukraine
http://orcid.org/0000-0001-5646-4996
Authors
Saule KumargazhanovaD. Serikbayev East Kazakhstan Technical University Kazakhstan
http://orcid.org/0000-0002-6744-4023
Statistics
Abstract views: 89PDF downloads: 113
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
