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数字检测和分析神经细胞培养中的分支和细胞接触。

Digital detection and analysis of branching and cell contacts in neural cell cultures.

机构信息

Faculty of Mathematics and Computer Science, Department of Computer Engineering, Leipzig University, Germany.

出版信息

J Neurosci Methods. 2012 Sep 30;210(2):206-19. doi: 10.1016/j.jneumeth.2012.07.007. Epub 2012 Jul 26.

Abstract

Changes in human/animal behaviour and the involved neural functions are characterized by structural alterations in the brain circuitry. These changes comprise the formation of new synapses and the elimination of existing synapses aside from the modulation of connecting properties within other ones. The mechanisms of neuronal branching and cell contacting regulate and prepare for the processes of synaptic formation. In this study, we present a set of methods to detect, describe and analyse the dynamics attributed to the process of cell contacting in cell cultures in vitro. This involves the dynamics of branching and seeking for synaptic partners. The proposed technique formally distinguishes between the actual formed synapses and the potential synaptic sites, i.e. where cell contacts are likely. The study investigates the dynamic behaviour of these potential synaptic sites within the process of seeking for contacts. The introduced tools use morphological image processing algorithms to automatically detect the sites of interest. Results indicate that the introduced tools can reliably describe experimentally observed branching and seeking for contacts dynamics. Being straightforward in terms of implementation and analysis, our framework represents a solid method for studying the neural preparation phases of synaptic formation via cell contacting in random networks using standard phase contrast microscopy.

摘要

人类/动物行为的变化和涉及的神经功能特征是大脑回路的结构改变。这些变化包括新突触的形成和现有突触的消除,以及其他突触连接特性的调节。神经元分支和细胞接触的机制调节和准备突触形成的过程。在这项研究中,我们提出了一组方法来检测、描述和分析体外细胞培养中细胞接触过程的动态变化。这涉及到分支和寻找突触伙伴的动态变化。所提出的技术在形式上区分了实际形成的突触和潜在的突触位点,即细胞接触可能发生的地方。该研究调查了在寻找接触过程中这些潜在突触位点的动态行为。引入的工具使用形态图像处理算法自动检测感兴趣的部位。结果表明,所提出的工具可以可靠地描述实验观察到的分支和寻找接触的动力学。由于在实现和分析方面都很简单,我们的框架代表了一种通过随机网络中的细胞接触来研究突触形成的神经准备阶段的可靠方法,使用标准相差显微镜。

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