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Neurons of the human dentate nucleus: box-count method in the quantitative analysis of cell morphology

机译:人牙齿核的神经元:箱数法定量分析细胞形态学

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The morphology of neurons from the human dentate nucleus was analyzed estimating the size and shape of the dendritic field, shape of the neuron, space-filling property and the degree of dendrite aberrations. Among them, the last three morphological properties were investigated using the most popular technique of fractal analysis: the box-count method. The box dimensions of binary images and dendritic field area were statistically investigated in order to test whether the binary box dimension can quantify the size of the neuron. The same analysis was carried out using the box dimension of outline images and image circularity. The parameters, presented in this study have proved to be a useful means for quantifying the morphology of dentate neurons as they provide a robust means of differentiating between neuron subtypes in the dentate nucleus. The findings of the present study are in accordance with previous qualitative data.
机译:分析了人牙齿核的神经元的形态分析了树突式,神经元,空间填充性能和树突畸变程度的尺寸和形状。其中,使用最普遍的分形分析技术来研究最后三种形态学性质:盒数量方法。二进制图像和树突状场区域的盒子尺寸在统计上研究,以测试二元盒尺寸是否可以量化神经元的大小。使用轮廓图像和图像圆形度的框尺寸进行相同的分析。本研究中呈现的参数证明是量化牙齿神经元的形态的一种有用手段,因为它们提供了牙齿核中的神经元亚型之间的稳健方式。本研究的结果符合以前的定性数据。

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