Blood Plasma Film Multifractal Scanning in COVID‐19 Consequences Diagnostics

• Published in: Journal of biophotonics 2024-11, Vol.17 (11), p.e202400356-n/a
• Main Authors: Ushenko, Alexander, Pavlyukovich, Natalia, Khukhlina, Oksana, Pavlyukovich, Olexander, Soltys, Iryna, Dubolazov, Alexander, Ushenko, Yurii, Gordey, Ivan, Zheng, Jun, Chen, Zhebo, Bin, Lin
• Format: Article
• Language: English
• Subjects: Algorithms; Birefringence; Blood plasma; COVID-19; COVID-19 - blood; diagnostics; Ellipticity; Fractal analysis; Fractal geometry; Fractal transforms; Fractals; Humans; Parameter identification; Parameter sensitivity; Plasma; Plasma - chemistry; Polarization; Scanning; Spectra; Wavelet Analysis; Wavelet transforms
• ISSN: 1864-063X; 1864-0648; 1864-0648
• DOI: 10.1002/jbio.202400356

ABSTRACT A 3D phase scanning method was applied to study blood plasma facies, generating layered polarization maps of the object field. The most sensitive parameters to changes in birefringence distribution were identified. Multifractal analysis using wavelet transforms and fractal dimension spectra provided specific insights into the scale self‐similarity of the polarization maps. The multifractal spectra of ellipticity distributions were algorithmically derived, revealing that the third‐ and fourth‐order statistical moments were most sensitive to changes in the supramolecular networks of the facies. These findings were successfully applied to differentiate post‐COVID‐19 effects with high accuracy. A 3D phase scanning method for blood plasma facies was applied, and layered polarization maps of the object field were generated. The most sensitive parameters to changes in the birefringence distribution of the facies samples were identified. Multifractal analysis was employed to evaluate additional specific parameters, particularly the scale self‐similarity structure of the polarization maps. This analysis was based on wavelet transform methods and spectra of fractal dimensions. Multifractal spectra of ellipticity distributions in microscopic images of different phase sections of blood plasma facies were algorithmically derived.