神经元形态数字化：细胞和系统神经科学研究中心。
Neuronal morphology goes digital: a research hub for cellular and system neuroscience.
机构信息
Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA 22030, USA.
出版信息
Neuron. 2013 Mar 20;77(6):1017-38. doi: 10.1016/j.neuron.2013.03.008.
Abstract
The importance of neuronal morphology in brain function has been recognized for over a century. The broad applicability of "digital reconstructions" of neuron morphology across neuroscience subdisciplines has stimulated the rapid development of numerous synergistic tools for data acquisition, anatomical analysis, three-dimensional rendering, electrophysiological simulation, growth models, and data sharing. Here we discuss the processes of histological labeling, microscopic imaging, and semiautomated tracing. Moreover, we provide an annotated compilation of currently available resources in this rich research "ecosystem" as a central reference for experimental and computational neuroscience.
摘要
神经元形态在脑功能中的重要性已经被认识了一个多世纪。神经元形态的“数字重建”在神经科学各个子领域的广泛适用性，刺激了许多协同工具的快速发展，这些工具用于数据采集、解剖分析、三维渲染、电生理模拟、生长模型和数据共享。在这里，我们讨论了组织学标记、显微镜成像和半自动追踪的过程。此外，我们还提供了当前可用资源的注释性汇编，作为实验和计算神经科学的核心参考，以丰富这个研究“生态系统”。
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