旋转神经元图像树突形态的分形分析:改进的盒计数法。

IF 1.5 4区 生物学 Q4 Agricultural and Biological Sciences Theoretical Biology Forum Pub Date : 2014-01-01
Dušan Ristanović, Bratislav D Stefanović, Nela Puškaš
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引用次数: 0

摘要

非星状神经元的分形维数随神经元图像的旋转而连续变化。对于星状神经元来说,这种变化是无法察觉的。在盒计数的预处理过程中,非星状神经元的排列应使其树突场的主要直径平行。结果表明,当水平轴或垂直轴与其主直径的夹角约为45度时,非星状神经元图像的盒维最小。使用ImageJ软件的框计数方法不考虑图片在计算机屏幕上的位置。样本的盒维值的离散度通常较大,因此其平均值具有较大的标准差。改进的箱计数法在一定程度上削弱了这些发现。为了提高非星状神经元盒计数维度对神经元旋转的依赖性,在应用盒计数之前,非星状神经元应该被排列成它们树突场的主要直径是平行的。
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Fractal analysis of dendrite morphology of rotated neuronal pictures: the modified box counting method.

The fractal dimension of a non-stellate neuron changes continuously with rotation of the neuronal picture. For a stellate neuron such changes cannot be noticed. During preprocessing for the box counting, non-stellate neurons should be arranged so that the major diameters of their dendrite fields are parallel. It was shown that a non-stellate neuronal picture had the smallest box dimension when the angle between the horizontal or vertical axis and its major diameter was about 45 degrees. The box counting method which uses ImageJ software does not consider the position of a picture on the computer's screen. A dispersion of the box dimension values of a sample is generally rather large so that their mean value is with larger standard deviation. Modified box counting method partly diminishes these findings. To improve a dependence on neuronal rotation for the box counting dimension of nonstellate neurons, prior to applying the box counting, the non-stellate neurons should be arranged so that the major diameters of their dendrite fields are parallel.

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来源期刊
Theoretical Biology Forum
Theoretical Biology Forum 生物-生物学
CiteScore
0.70
自引率
0.00%
发文量
0
审稿时长
>12 weeks
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