Edgar Vatamanitsa

Work place: Computer Science Department, Yuriy Fedcovitch Chernivtsi National University, Chernivtsi, 58002, Ukraine

E-mail: e.vatamanitsa@chnu.edu.ua

Website:

Research Interests: System Modeling, Software Design

Biography

Edgar Vatamanitsa was born on May 30, 1991, in Chernivtsi, Ukraine. M.Sc. in Computer Science (2013). Current position – Assistant of Computer Science Department, Chernivtsi National University, Ukraine. Research Interests: Modern Android app development, System design, Rust programming language.

Author Articles
Algorithms for Polarization-singular processing of Mueller-matrix images of Soft Tissues for Biomedical Applications

By Liliya Diachenko Edgar Vatamanitsa Oleksandr Ushenko Oleksandr Salega Oleksandra Litvinenko Zhengbing Hu

DOI: https://doi.org/10.5815/ijigsp.2024.01.02, Pub. Date: 8 Feb. 2024

Traditional methods of imaging Muller-matrix polarimetry ensure obtaining large arrays of experimental data in the form of 16 Muller-matrix images. Processing and comparative analysis of the received information is quite time-consuming and requires a long time. A new algorithmic polarization-singular approach to the analysis of coordinate distributions of matrix elements (Mueller-matrix maps) of polycrystalline birefringent structure of biological tissues is considered. A Mueller-matrix model for describing the optical anisotropy of biological layers is proposed. Analytical correlations between polarization-singular states of the object field and characteristic values of Mueller-matrix images of birefringence soft tissue objects were found. The proposed algorithmic polarization-singular theory is experimentally verified. Examples of polarization singularities networks of Mueller-matrix maps of histological preparations of real tissues of female reproductive sphere are given. Diagnostic possibilities of the developed polarization-singular algorithms in diagnostics and differentiation of the stages of extragenital endometriosis are illustrated. Another area of biomedical diagnostics has been successfully tested: polarization-singular criteria for forensic Mueller-matrix determination of the age of myocardial injury of the deceased have been defined.

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