Ristanović Dušan, Milošević Nebojša T, Marić Dušica L
Department of Biophysics, Medical Faculty, University of Belgrade, KCS, Institute of Biophysics PP22, 11129 Belgrade 102, Serbia.
Biol Cybern. 2011 Mar;104(3):175-83. doi: 10.1007/s00422-011-0426-x. Epub 2011 Feb 22.
One of the major goals in cellular neurobiology is the meaningful cell classification. However, in cell classification there are many unresolved issues that need to be addressed. Neuronal classification usually starts with grouping cells into classes according to their main morphological features. If one tries to test quantitatively such a qualitative classification, a considerable overlap in cell types often appears. There is little published information on it. In order to remove the above-mentioned shortcoming, we undertook the present study with the aim to offer a novel method for solving the class overlapping problem. To illustrate our method, we analyzed a sample of 124 neurons from adult human dentate nucleus. Among them we qualitatively selected 55 neurons with small dendritic fields (the small neurons), and 69 asymmetrical neurons with large dendritic fields (the large neurons). We showed that these two samples are normally and independently distributed. By measuring the neuronal soma areas of both samples, we observed that the corresponding normal curves cut each other. We proved that the abscissa of the point of intersection of the curves could represent the boundary between the two adjacent overlapping neuronal classes, since the error done by such division is minimal. Statistical evaluation of the division was also performed.
细胞神经生物学的主要目标之一是进行有意义的细胞分类。然而，在细胞分类中存在许多未解决的问题需要解决。神经元分类通常首先根据细胞的主要形态特征将其分组。如果有人试图对这种定性分类进行定量测试，细胞类型之间往往会出现相当大的重叠。关于这方面的公开信息很少。为了消除上述缺点，我们进行了本研究，旨在提供一种解决类重叠问题的新方法。为了说明我们的方法，我们分析了来自成年人类齿状核的124个神经元样本。其中，我们定性地选择了55个树突野小的神经元（小神经元）和69个树突野大的不对称神经元（大神经元）。我们表明这两个样本呈正态且独立分布。通过测量两个样本的神经元胞体面积，我们观察到相应的正态曲线相互交叉。我们证明曲线交点的横坐标可以代表两个相邻重叠神经元类之间的边界，因为这样划分产生的误差最小。我们还对这种划分进行了统计评估。
