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重建神经肌肉接头连接组。

Reconstruction of the neuromuscular junction connectome.

机构信息

Ting Tsung and Wei Fong Chao Center for Bioinformatics Research and Imaging in Neurosciences, The Methodist Hospital Research Institute, Houston, TX 77030, USA.

出版信息

Bioinformatics. 2010 Jun 15;26(12):i64-70. doi: 10.1093/bioinformatics/btq179.

Abstract

MOTIVATION

Unraveling the structure and behavior of the brain and central nervous system (CNS) has always been a major goal of neuroscience. Understanding the wiring diagrams of the neuromuscular junction connectomes (full connectivity of nervous system neuronal components) is a starting point for this, as it helps in the study of the organizational and developmental properties of the mammalian CNS. The phenomenon of synapse elimination during developmental stages of the neuronal circuitry is such an example. Due to the organizational specificity of the axons in the connectomes, it becomes important to label and extract individual axons for morphological analysis. Features such as axonal trajectories, their branching patterns, geometric information, the spatial relations of groups of axons, etc. are of great interests for neurobiologists in the study of wiring diagrams. However, due to the complexity of spatial structure of the axons, automatically tracking and reconstructing them from microscopy images in 3D is an unresolved problem. In this article, AxonTracker-3D, an interactive 3D axon tracking and labeling tool is built to obtain quantitative information by reconstruction of the axonal structures in the entire innervation field. The ease of use along with accuracy of results makes AxonTracker-3D an attractive tool to obtain valuable quantitative information from axon datasets.

AVAILABILITY

The software is freely available for download at http://www.cbi-tmhs.org/AxonTracker/.

摘要

动机

揭示大脑和中枢神经系统(CNS)的结构和功能一直是神经科学的主要目标。理解神经肌肉接头连接组(神经系统神经元成分的全连接)的布线图就是一个起点,因为它有助于研究哺乳动物 CNS 的组织和发育特性。神经元电路在发育阶段的突触消除现象就是一个例子。由于连接组中轴突的组织特异性,标记和提取单个轴突进行形态分析变得很重要。对于神经生物学家来说,轴突的轨迹、分支模式、几何信息、轴突群的空间关系等特征对于研究连接组图非常重要。然而,由于轴突的空间结构复杂,从显微镜图像中自动跟踪和重建它们在 3D 中是一个未解决的问题。在本文中,构建了一个交互式 3D 轴突跟踪和标记工具 AxonTracker-3D,通过对整个神经支配场中轴突结构的重建来获取定量信息。该工具易于使用,结果准确,是从轴突数据集获取有价值的定量信息的一个有吸引力的工具。

可用性

该软件可在 http://www.cbi-tmhs.org/AxonTracker/ 免费下载。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f01b/2881364/7e0056e0ae7c/btq179f1.jpg

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