Circuit Dynamics and Connectivity Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
Curr Opin Neurobiol. 2012 Feb;22(1):154-61. doi: 10.1016/j.conb.2011.10.022. Epub 2011 Nov 24.
The last decade has seen a rapid increase in the number of tools to acquire volume electron microscopy (EM) data. Several new scanning EM (SEM) imaging methods have emerged, and classical transmission EM (TEM) methods are being scaled up and automated. Here we summarize the new methods for acquiring large EM volumes, and discuss the tradeoffs in terms of resolution, acquisition speed, and reliability. We then assess each method's applicability to the problem of reconstructing anatomical connectivity between neurons, considering both the current capabilities and future prospects of the method. Finally, we argue that neuronal 'wiring diagrams' are likely necessary, but not sufficient, to understand the operation of most neuronal circuits: volume EM imaging will likely find its best application in combination with other methods in neuroscience, such as molecular biology, optogenetics, and physiology.
过去十年中,获取大量电子显微镜 (EM) 数据的工具数量迅速增加。一些新的扫描电子显微镜 (SEM) 成像方法已经出现,经典的透射电子显微镜 (TEM) 方法也在扩大规模和自动化。在这里,我们总结了获取大 EM 体积的新方法,并讨论了分辨率、采集速度和可靠性方面的权衡。然后,我们根据方法的当前能力和未来前景,评估每种方法在重建神经元之间解剖连接的问题上的适用性。最后,我们认为神经元“连接图”可能是必要的,但不足以理解大多数神经元回路的运作:体积 EM 成像很可能与神经科学中的其他方法(如分子生物学、光遗传学和生理学)相结合,找到其最佳应用。