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Neurons of the Human Dentate Nucleus: Box-Count Method in the Quantitative Analysis of Cell Morphology

机译:人类齿状核的神经元:细胞形态定量分析中的盒计数法

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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:分析了来自人齿状核的神经元的形态,估计了树突场的大小和形状,神经元的形状,空间填充特性以及树突畸变的程度。其中,使用最流行的分形分析技术:盒数法研究了最后三个形态学特性。为了检验二进制盒尺寸是否可以量化神经元的大小,对二进制图像的盒尺寸和树突场区域进行了统计研究。使用轮廓图像的框尺寸和图像圆度进行了相同的分析。在这项研究中提出的参数已被证明是量化齿状神经元形态的有用手段,因为它们提供了区分齿状核中神经元亚型的可靠手段。本研究的结果与先前的定性数据一致。

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