Suppr超能文献

SynapsEM:计算机辅助突触形态测量法

SynapsEM: Computer-Assisted Synapse Morphometry.

作者信息

Watanabe Shigeki, Davis M Wayne, Kusick Grant F, Iwasa Janet, Jorgensen Erik M

机构信息

Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

出版信息

Front Synaptic Neurosci. 2020 Dec 18;12:584549. doi: 10.3389/fnsyn.2020.584549. eCollection 2020.

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.

摘要

突触的结构特征有助于确定其功能。突触极小,紧密排列着囊泡和其他细胞器。要观察突触结构需要借助电子显微镜成像,并且必须对显微照片中的特征进行量化,这个过程称为形态测量学。通常从每个样本中评估三个参数:(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)细胞器与突触处关键特征(如活性区膜和致密突起)之间的距离。为了使数据有意义,必须从几个生物学重复样本的数百到数千张图像中重复进行分析,这是一项艰巨的任务。在此,我们报告了一个用于分析突触关键结构特征的定制计算机程序: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。然后将这些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重新检查分割情况。Matlab程序随后根据这些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得出的,而非从每张显微照片中测量得到,因此在Matlab中可以通过额外的脚本提取其他参数,如停靠囊泡相对于活性区中心的位置。因此,该程序可以加速突触的形态测量,并促进对突触超微结构进行更全面的分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6f/7775558/57cb099525af/fnsyn-12-584549-g0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验