Cytometric Distributions and Wavelet Spectra of Immunofluorescence Noise in Medical Diagnostics

Abstract

This communication is based on the experimental data treatment.New nonlinear methods of immunofluorescence statistical analysis of peripheral blood neutrophils have been developed. We used technology of respiratory burst reaction of DNA fluorescence in the cells nuclei due to oxidative activity. The photon count statistics in flow cytometry experiments are analyzed in the variables of the flashes frequency as functions of the fluorescence intensity. Statistics of immunofluorescence fluctuations are substantially non-Gaussian. Statistic peculiarities of histograms set for healthy and unhealthy donors allow dividing all histograms on the three classes. First histograms group belongs to healthy donors. Two other groups belong to donors with autoimmune and inflammatory diseases. Three types of wavelet spectra are observed for autoimmune and inflammatory diseases and for the healthy people. Different exponential distributions of the central moments the fluorescence intensity fluctuations supplement the represented analysis of immunofluorescence. Possibilities and alterations of immunofluorescence statistics in registration, diagnostics and monitoring of different diseases in various medical treatments have been demonstrated. Early diagnostics and monitoring of the diseases by means of statistical analysis the immunofluorescence distributions may be realized with the exponentially high precision. Health or illness criteria are connected with statistics features of immunofluorescence histograms. Neutrophils populations’ fluorescence presents the sensitive clear indicator of health status. Medical diagnosis and statistical data of the immunofluorescence histograms for identifications of health and illnesses are interconnected.