免疫荧光分布吸引子在健康状况诊断和医疗中的延迟、变化和分岔

N. Galich, M. V. Filatov
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引用次数: 5

摘要

通讯内容包括免疫学实验的描述和实验数据的处理。本文提出了一种新的非线性免疫荧光统计分析外周血中性粒细胞的方法。利用DNA荧光呼吸爆发技术在中性粒细胞细胞核内进行氧化反应。考虑了流式细胞术实验中辐射中性粒细胞群体的光子计数直方图。分析了荧光闪烁频率随荧光强度的分布规律。健康和不健康供体直方图的统计特性允许将所有直方图划分在三个类别上。该分类基于三种不同类型的平滑和远程尺度平均免疫荧光分布及其分岔。远距离免疫荧光分布的异质性特性允许将所有直方图划分为三组。第一个直方图组属于健康的供体。另外两组是患有自身免疫性疾病和炎症性疾病的捐赠者。有些疾病不能用标准的生化方法诊断。医学标准和用于识别健康和疾病的免疫荧光直方图的统计数据是相互关联的。免疫荧光统计在各种医学治疗中登记、诊断和监测不同疾病方面的可能性和变化已经得到证实。健康或疾病标准与免疫荧光直方图的统计特征有关。中性粒细胞群体的荧光是健康状况的敏感而明确的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Delay, change and bifurcation of the immunofluorescence distribution attractors in health statuses diagnostics and in medical treatment
Communication contains the description of the immunology experiments and 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 neutrophils cells nuclei due to oxidative activity. The histograms of photon count statistics the radiant neutrophils populations' in flow cytometry experiments are considered. Distributions of the fluorescence flashes frequency as functions of the fluorescence intensity are analyzed. Statistic peculiarities of histograms set for healthy and unhealthy donors allow dividing all histograms on the three classes. The classification is based on three different types of smoothing and long-range scale averaged immunofluorescence distributions and their bifurcation. Heterogeneity peculiarities of long-range scale immunofluorescence distributions allow dividing all histograms on three groups. First histograms group belongs to healthy donors. Two other groups belong to donors with autoimmune and inflammatory diseases. Some of the illnesses are not diagnosed by standards biochemical methods. Medical standards and statistical data of the immunofluorescence histograms for identifications of health and illnesses are interconnected. Possibilities and alterations of immunofluorescence statistics in registration, diagnostics and monitoring of different diseases in various medical treatments have been demonstrated. Health or illness criteria are connected with statistics features of immunofluorescence histograms. Neutrophils populations' fluorescence presents the sensitive clear indicator of health status.
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