Blood Plasma Film Multifractal Scanning in <scp>COVID</scp>‐19 Consequences Diagnostics

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.

Authors

Institutions

Publication Details

Journal
Journal of Biophotonics
Published
2024-09-26
DOI
https://doi.org/10.1002/jbio.202400356
Citations
4
Primary Topic
Optical Polarization and Ellipsometry
Type
article
Field-Weighted Citation Impact
0.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blood Plasma Film Multifractal Scanning in COVID‐19 Consequences Diagnostics

О. С. Хухліна, Iryna Soltys, Olexander V. Dubolazov, Jun Bao Zheng et al.
4 citations
Journal of Biophotonics
Optical Polarization and Ellipsometry
0.74
article

Blood Plasma Film Multifractal Scanning in COVID‐19 Consequences Diagnostics

О. С. Хухліна, Iryna Soltys, Olexander V. Dubolazov, Jun Bao Zheng, Yuriy Ushenko, Zhebo Chen, Ivan Gordey, N. Pavlyukovich, O. Pavlyukovich, Yurii Ushenko, Bin Lin
article en
4 citations

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.

Journal of BiophotonicsVol. 17(11)
Yuriy Fedkovych Chernivtsi National University (UA), Shaoxing University (CN), Bukovinian State Medical University (UA), Zhejiang University (CN), Taizhou University (CN)
National Research Foundation of Ukraine
Openalex Percentile: Top 32%
Optical Polarization and Ellipsometry
0.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Blood Plasma Film Multifractal Scanning in <scp>COVID</scp>‐19 Consequences Diagnostics — О. С. Хухліна, Iryna Soltys, et al. · Journal of Biophotonics (2024) | TGRS Research Map | TGRS