Vector-parametric structure of polarization images of networks of biological crystals for differential diagnosis of inflammatory processes

S. Railianu; Yu. Solovey; V. Polovyi; A. Dubolazov; Yu. Ushenko; I. Soltys; A. Motrich; L. Pidkamin

doi:10.1117/12.2568404

21 August 2020 Vector-parametric structure of polarization images of networks of biological crystals for differential diagnosis of inflammatory processes

S. Railianu, Yu. Solovey, V. Polovyi, A. Dubolazov, Yu. Ushenko, I. Soltys, A. Motrich, L. Pidkamin

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Proceedings Volume 11510, Applications of Digital Image Processing XLIII; 115102M (2020) https://doi.org/10.1117/12.2568404
Event: SPIE Optical Engineering + Applications, 2020, Online Only

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Abstract

For differential diagnosis of severity of the septic process, the method of mapping vector-parametric microscopic images of the polycrystalline component of histological sections of the internal organs of rats was used. A statistical analysis of the distribution of the number of characteristic values of the Stokes vector of polarizing microscopic images of histological sections of the internal organs of laboratory rats was carried out. The relationships between the values of statistical moments of the 1st - 2nd orders of magnitude characterizing the distribution of the number of characteristic values of the Stokes vector of polarizing microscopic images of histological sections of the internal organs of laboratory rats and the severity of the septic process are determined. Quantitative parameters that are most sensitive to septic conditions have been established, which ensure the implementation of statistically confidance differentiation of histological sections of the internal organs of laboratory rats. From the standpoint of evidence-based medicine, the operational characteristics of the diagnostic forces of the vector-parametric microscopy method are established with an estimate of the number of characteristic values of the fourth Stokes vector of polarization images of histological sections of the internal organs of laboratory rats.

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S. Railianu, Yu. Solovey, V. Polovyi, A. Dubolazov, Yu. Ushenko, I. Soltys, A. Motrich, and L. Pidkamin "Vector-parametric structure of polarization images of networks of biological crystals for differential diagnosis of inflammatory processes", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 115102M (21 August 2020); https://doi.org/10.1117/12.2568404

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