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Estimating structural damage of the cytoskeleton by means of morphological descriptors

机译:通过形态描述符估算细胞骨架的结构损伤

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Direct methods (spatial differentiation), fractal analysis and spectral analysis ("spectrum enhancement") have been applied to extract morphological descriptors from images of cytoskeletal microtubules. Images had been obtained from experiments on cultured cells (rat hepatocytes). Principal components analysis has been applied to morphological descriptors. An image classifier has thus been trained to tell normal (control) microtubule structures from those treated by a given concentration of a fungicide for a given time. Validation has been performed on sets of new images of the same two classes. Then the classifier has been used to rank the morphology of microtubules treated at lower doses and to quantify structural recovery after exposure. The paper is the first account of extensive morphological classification of microtubules and paves the way to a dose-response relationship based on quantitative morphology.
机译:已经应用了直接方法(空间分化),分形分析和光谱分析(“光谱增强”)以提取来自细胞骨骼微管的图像的形态描述符。从培养细胞(大鼠肝细胞)的实验中获得了图像。主要成分分析已应用于形态描述符。因此,已经训练了一种图像分类剂,以便在给定时间通过给定浓度的杀菌剂的给定浓度处理的那些进行正常(对照)微管结构。已经在同一个两个类的新图像集上执行了验证。然后,分类器已被用于对较低剂量处理的微管的形态进行排序,并在暴露后量化结构恢复。本文是基于定量形态学的微管型微管的大规模形态学分类的第一个叙述。

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