RipleyGUI: software for analyzing spatial patterns in 3D cell distributions
RipleyGUI: software for analyzing spatial patterns in 3D cell distributions
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DOI：
10.3389/fninf.2013.00005
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发表时间：
2013-01-01
影响因子：
3.5
通讯作者：
Krieger, Patrik
中科院分区：
文献类型：
--
作者：
Hansson, Kristin;Jafari-Mamaghani, Mehrdad;Krieger, Patrik
数字神经解剖学时代的真正革命是能够广泛量化解剖结构，从而详细研究结构-功能关系。为了便于神经元细胞模式的量化，我们开发了RipleyGUI，这是一种基于MATLAB的软件，可用于检测细胞的3D分布模式。RipleyGUI使用Ripley的K函数来分析空间分布。此外，该软件还包含用于确定定量统计差异的统计工具，以及用于分析非固定点模式的空间转换工具。该软件有一个图形用户界面，使其易于使用，没有编程经验，和一个广泛的用户手册解释基本概念的不同统计工具用于分析空间点模式。所描述的分析工具可以用于确定神经元的空间组织，这对于详细研究结构功能关系是重要的。例如，可以根据细胞密度和细胞类型细分为六层的新皮层也可以根据区分层的组织原则进行分析。
The true revolution in the age of digital neuroanatomy is the ability to extensively quantify anatomical structures and thus investigate structure-function relationships in great detail. To facilitate the quantification of neuronal cell patterns we have developed RipleyGUI, a MATLAB-based software that can be used to detect patterns in the 3D distribution of cells. RipleyGUI uses Ripley's K-function to analyze spatial distributions. In addition the software contains statistical tools to determine quantitative statistical differences, and tools for spatial transformations that are useful for analyzing non-stationary point patterns. The software has a graphical user interface making it easy to use without programming experience, and an extensive user manual explaining the basic concepts underlying the different statistical tools used to analyze spatial point patterns. The described analysis tool can be used for determining the spatial organization of neurons that is important for a detailed study of structure function relationships. For example, neocortex that can be subdivided into six layers based on cell density and cell types can also be analyzed in terms of organizational principles distinguishing the layers.