SynapsEM: Computer-Assisted Synapse Morphometry.

IF 2.8 4区 医学 Q2 NEUROSCIENCES Frontiers in Synaptic Neuroscience Pub Date : 2020-12-18 eCollection Date: 2020-01-01 DOI:10.3389/fnsyn.2020.584549
Shigeki Watanabe, M Wayne Davis, Grant F Kusick, Janet Iwasa, Erik M Jorgensen
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引用次数: 14

Abstract

The structural features of a synapse help determine its function. Synapses are extremely small and tightly packed with vesicles and other organelles. Visualizing synaptic structure requires imaging by electron microscopy, and the features in micrographs must be quantified, a process called morphometry. Three parameters are typically assessed from each specimen: (1) the sizes of individual vesicles and organelles; (2) the absolute number and densities of organelles; and (3) distances between organelles and key features at synapses, such as active zone membranes and dense projections. For data to be meaningful, the analysis must be repeated from hundreds to thousands of images from several biological replicates, a daunting task. Here we report a custom computer program to analyze key structural features of synapses: SynapsEM. In short, we developed ImageJ/Fiji macros to record x,y-coordinates of segmented structures. The coordinates are then exported as text files. Independent investigators can reload the images and text files to reexamine the segmentation using ImageJ. The Matlab program then calculates and reports key synaptic parameters from the coordinates. Since the values are calculated from coordinates, rather than measured from each micrograph, other parameters such as locations of docked vesicles relative to the center of an active zone can be extracted in Matlab by additional scripting. Thus, this program can accelerate the morphometry of synapses and promote a more comprehensive analysis of synaptic ultrastructure.

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SynapsEM:计算机辅助突触形态测定法。
突触的结构特征有助于决定它的功能。突触非常小,紧密地包裹着囊泡和其他细胞器。可视化突触结构需要电子显微镜成像,显微照片中的特征必须被量化,这一过程称为形态测量。通常从每个标本中评估三个参数:(1)单个囊泡和细胞器的大小;(2)细胞器的绝对数量和密度;(3)突触上的细胞器和关键特征之间的距离,如活性区膜和密集突起。为了使数据有意义,必须对来自几个生物复制的数百到数千张图像进行重复分析,这是一项艰巨的任务。在这里,我们报告一个自定义的计算机程序来分析突触的关键结构特征:SynapsEM。简而言之,我们开发了ImageJ/Fiji宏来记录分割结构的x、y坐标。然后将坐标导出为文本文件。独立研究人员可以重新加载图像和文本文件,使用ImageJ重新检查分割。然后Matlab程序根据坐标计算并报告关键的突触参数。由于这些值是根据坐标计算的,而不是从每张显微照片中测量的,因此可以通过额外的脚本在Matlab中提取其他参数,例如停靠的囊泡相对于活动区域中心的位置。因此,该程序可以加速突触的形态测定,促进对突触超微结构的更全面的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.10
自引率
2.70%
发文量
74
审稿时长
14 weeks
期刊最新文献
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