Differential diagnostic of the COVID-19 long-term effects using the method of Mueller-Matrix Map reproduction of optical activity in kidney parenchyma samples
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Ushenko Olexander, Pavlyukovich Natalia, Khukhlina Oksana, Grądz Żaklin, Bachinskiy Viktor T., Pavlyukovich Olexander V., Dubolazov Olexander, Gorsky Mykhaylo, Olar Olexander, Zaplitniy Ruslan, Ovcharuk Vasyl, Salega Olexander, Issimov Nurdaulet, Sidletska Tetiana, Aray Aryn |
| Dyscypliny: | |
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| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Strony: | 1 - 7 |
| Scopus® Cytowania: | 0 |
| Bazy: | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2025 |
| Skrócona nazwa konferencji: | SPIE-IEEE-PSP 2025 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 3 lipca 2025 do 4 lipca 2025 |
| Miasto konferencji: | Lublin |
| Państwo konferencji: | POLSKA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| Results of the experimental testing of the azimuthally-invariant Mueller-matrix microscopy method for native histological sections of kidneys from deceased individuals, with algorithmic reproduction of coordinate distributions of circular birefringence (optical activity) in the parenchyma architecture. As part of the comprehensive algorithmic analysis, a set of diagnostic markers was identified (asymmetry and excess of circular birefringence distribution, and the amplitudes of their wavelet transformation, the scale self-similarity type of OA maps) that are sensitive to changes in the polycrystalline structure of the kidney parenchyma of deceased individuals with varying times since death from COVID-19. The diagnostic efficacy of the azimuthally-invariant Mueller-matrix microscopy method with algorithmic reproduction of circular birefringence maps for kidney parenchyma in deceased individuals was established for determining long-term effects of COVID-19 with an excellent level of accuracy (up to 97%), with the ability to differentiate the time since death with very good precision (93% to 95%). |
