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首页> 外文期刊>Journal of Neurophysiology >Serial-section atlas of the Tritonia pedal ganglion
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Serial-section atlas of the Tritonia pedal ganglion

机译：Tritonia Pedal Gaplion的序列部分地图集

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The pedal ganglion of the nudibranch gastropod Tritonia diomedea has been the focus of neurophysiological studies for more than 50 yr. These investigations have examined the neural basis of behaviors as diverse as swimming. crawling, reflex withdrawals, orientation to water flow, orientation to the earth's magnetic field, and learning. Despite this sustained research focus, most studies have confined themselves to the layer of neurons that are visible on the ganglion surface, leaving many neurons, which reside in deeper layers, largely unknown and thus unstudied. To facilitate work on such neurons, the present study used serial-section light microscopy to generate a detailed pictorial atlas of the pedal ganglion. One pedal ganglion was sectioned horizontally at 2-mu m intervals and another vertically at 5-mu m intervals. The resulting images were examined separately or combined into stacks to generate movie tours through the ganglion. These were also used to generate 3D reconstructions of individual neurons and rotating movies of digitally desheathed whole ganglia to reveal all surface neurons. A complete neuron count of the horizontally sectioned ganglion yielded 1.885 neurons. Real and virtual sections from the image stacks were used to reveal the morphology of individual neurons, as well as the major axon bundles traveling within the ganglion to and between its several nerves and connectives. Extensive supplemental data are provided, as well as a link to the Dryad Data Repository site, where the complete sets of high-resolution serial-section images can be downloaded.
机译：Nudibranch Gastropod Tritonia Diomedea的踏板神经节是神经生理学研究的焦点超过50年。这些调查已经检查了行为的神经基础，如游泳所多样化。爬行，反射提取，取向水流，方向到地球的磁场，以及学习。尽管有这种持续的研究重点，但大多数研究都将自己局限于神经节表面上可见的神经元层，留下许多神经元，该神经元在更深层层中，主要是未知的，因此不知所措。为了促进这些神经元的研究，本研究使用串口光学显微镜，产生踏板神经节的详细图形图案。一个踏板神经节水平地以2-mu m间隔水平分离，并且以5-mu m垂直地垂直划分。将得到的图像单独检查或组合成堆叠，以通过神经节生成电影之旅。这些也用于生成单个神经元的3D重建，并旋转数量脱离整个神经节的电影，以揭示所有表面神经元。水平切片神经节的完整神经元计数，得到1.885神经元。来自图像堆栈的真实和虚拟部分用于揭示个体神经元的形态，以及在神经节内行驶的主要轴突束，其几个神经和连接之间。提供了广泛的补充数据，以及Detdad数据存储库站点的链接，可以下载完整的高分辨率串行部分图像。

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