Azimuthally invariant system of Mueller-matrix polarization diagnosis of biological layers with fuzzy logical methods of decision-making

This paper presents an improved method and system for Mueller matrix polarization diagnostics of optically thin biological films, in which azimuthally independent components of Mueller matrix images (MMIs) of biological samples and invariant superpositions of other MMIs are analyzed. Multiparametric analysis of these invariant MMIs and invariant superpositions of MMIs involves calculating their statistical, correlation and spectral moments of 1st - 4th order, which form informative parameters for making diagnosis decisions in the system. New fuzzy logic models of decision rules for making diagnostic decisions in the system in the study of cervical biological sections were developed. The developed system allows to increase the diagnostic reliability of biological layers up to 98%.