Journal of biophotonics · 2026
Polarization Biophotonics of Hidden Multifractal Structures in Soft Matter Layers for Biomedical Diagnostics.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Ushenko Yuriy, Weidong Dou, Ushenko Olexander, Dubolazov Olexander, Soltys Irina, Gorsky Mykhaylo, Wanchuliak Oleg, Rozhko Vitaliy, Oksana Godovanets, Olar Olexander, Tomka Yuriy, Sholota Vladyslava, Olar Diana, Prysyazhyuk Vasyl
Аннотация
This study develops and substantiates a polarization-interferometric Jones-matrix approach for revealing hidden multifractal optical anisotropy in dehydrated biological soft-matter films. The method integrates Mach-Zehnder interferometry, digital holographic reconstruction of complex amplitudes, phase-selective speckle-field analysis, and statistical-multifractal processing of Jones-matrix images. Unlike intensity-based Stokes polarimetry, it provides amplitude and phase information and enables selective analysis of the coherent ballistic or weakly scattered polarization-preserving field component. Analytical relationships between real and imaginary Jones-matrix components and linear/circular birefringence mechanisms establish their interpretation as markers of spatial heterogeneity, orientational consistency, and phase organization of supramolecular polycrystalline networks. Using bile films, phase-selective mapping revealed distinct anisotropy manifestations in dendritic and spherulitic structures. Higher-order statistical moments and multifractal spectra described coordinate- and scale-dependent transformations. Primary validation on bile, whole blood, and dental canal irrigation films showed comparable integral-field accuracy but higher Jones-matrix informativeness after minimally scattered component isolation, supporting label-free biomedical diagnostics requiring further clinical validation.