Suppr超能文献

旋转神经元图片树突形态的分形分析:改进的盒子计数法

Fractal analysis of dendrite morphology of rotated neuronal pictures: the modified box counting method.

作者信息

Ristanović Dušan, Stefanović Bratislav D, Puškaš Nela

出版信息

Theor Biol Forum. 2014;107(1-2):109-21.

Abstract

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.

摘要

非星状神经元的分形维数会随着神经元图像的旋转而持续变化。对于星状神经元,这种变化则无法察觉。在进行盒计数预处理时,应将非星状神经元排列成其树突场的长轴相互平行。结果表明,当水平轴或垂直轴与其长轴之间的夹角约为45度时,非星状神经元图像的盒维数最小。使用ImageJ软件的盒计数方法并不考虑图像在计算机屏幕上的位置。样本的盒维数值的离散度通常相当大,以至于其平均值具有较大的标准差。改进的盒计数方法在一定程度上减少了这些结果。为了改善非星状神经元盒计数维数对神经元旋转的依赖性,在应用盒计数之前,应将非星状神经元排列成其树突场的长轴相互平行。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验