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Jones-matrix mapping of complex degree of mutual anisotropy of birefringent protein networks during the differentiation of myocardium necrotic changes

机译:心肌坏死变化分化过程中双折射蛋白网络相互各向异性的复杂程度的琼斯矩阵映射

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摘要

The azimuthally stable method of Jones-matrix mapping of histological sections of myocardium tissue biopsy using spatial-frequency selection of the mechanisms of linear and circular birefringence is proposed. Correlation parameter-the complex degree of mutual anisotropy-and its diagnostic application are analytically substantiated. The method of measuring the complex degree of mutual-anisotropy coordinate distributions using spatial filtration of their high-and low-frequency components is developed. The interconnections between such distributions and parameters of linear and circular birefringence of myocardium tissue histological sections are defined. The comparative investigations of coordinate distributions of the complex degree of mutual anisotropy formed by fibrillar networks of myocardium tissues of different necrotic states (dead due to coronary heart disease and acute coronary insufficiency) are performed. The values and ranges of change of the statistical (moments of the first-fourth order) parameters of coordinate distributions of the complex degree of mutual anisotropy are defined. The objective criteria of cause of death differentiation are determined. (C) 2016 Optical Society of America
机译:提出了利用线性和圆形双折射机理的空间频率选择对心肌组织活检组织切片进行琼斯矩阵作图的方位稳定方法。通过分析证实了相关参数-相互各向异性的复杂程度-及其诊断应用。提出了利用高频和低频分量的空间滤波来测量相互各向异性坐标分布的复杂度的方法。定义了这种分布与心肌组织组织学切片的线性和圆形双折射参数之间的相互关系。进行了由不同坏死状态(死于冠心病和急性冠状动脉供血不足)的心肌组织的原纤维网络形成的相互各向异性的复杂程度的坐标分布的比较研究。定义了相互各向异性的复杂度的坐标分布的统计参数(一四阶矩)的变化值和变化范围。确定了导致死亡的原因的客观标准。 (C)2016美国眼镜学会

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