Scorcioni Ruggero, Polavaram Sridevi, Ascoli Giorgio A
Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia 22030, USA.
Nat Protoc. 2008;3(5):866-76. doi: 10.1038/nprot.2008.51.
L-Measure (LM) is a freely available software tool for the quantitative characterization of neuronal morphology. LM computes a large number of neuroanatomical parameters from 3D digital reconstruction files starting from and combining a set of core metrics. After more than six years of development and use in the neuroscience community, LM enables the execution of commonly adopted analyses as well as of more advanced functions. This report illustrates several LM protocols: (i) extraction of basic morphological parameters, (ii) computation of frequency distributions, (iii) measurements from user-specified subregions of the neuronal arbors, (iv) statistical comparison between two groups of cells and (v) filtered selections and searches from collections of neurons based on any Boolean combination of the available morphometric measures. These functionalities are easily accessed and deployed through a user-friendly graphical interface and typically execute within few minutes on a set of approximately 20 neurons. The tool is available at http://krasnow.gmu.edu/cn3 for either online use on any Java-enabled browser and platform or download for local execution under Windows and Linux.
L-Measure(LM)是一款可免费获取的软件工具,用于对神经元形态进行定量表征。LM从一组核心指标出发,结合3D数字重建文件计算大量神经解剖学参数。经过在神经科学界六年多的开发与使用,LM能够执行常用分析以及更高级的功能。本报告阐述了几种LM协议:(i)基本形态参数的提取,(ii)频率分布的计算,(iii)从神经元树突的用户指定子区域进行测量,(iv)两组细胞之间的统计比较,以及(v)基于可用形态测量的任何布尔组合,从神经元集合中进行过滤选择和搜索。这些功能可通过用户友好的图形界面轻松访问和部署,通常在一组约20个神经元上几分钟内即可执行。该工具可在http://krasnow.gmu.edu/cn3获取,可在任何支持Java的浏览器和平台上在线使用,也可下载到Windows和Linux系统下进行本地执行。