期刊
FRONTIERS IN NEUROANATOMY
卷 5, 期 -, 页码 -出版社
FRONTIERS RESEARCH FOUNDATION
DOI: 10.3389/fnana.2011.00018
关键词
synapses; segmentation; 3D reconstruction; quantification; software; focused ion beam; scanning electron microscopy
资金
- Centre for Networked Biomedical Research into Neurodegenerative Diseases (CIBERNED) [CB06/05/0066]
- Spanish Ministry of Education, Science and Innovation [BFU2006-13395, SAF2009-09394, TIN2010-21289]
The synapses in the cerebral cortex can be classified into two main types, Gray's type I and type II, which correspond to asymmetric (mostly glutamatergic excitatory) and symmetric (inhibitory GABAergic) synapses, respectively. Hence, the quantification and identification of their different types and the proportions in which they are found, is extraordinarily important in terms of brain function. The ideal approach to calculate the number of synapses per unit volume is to analyze 3D samples reconstructed from serial sections. However, obtaining serial sections by transmission electron microscopy is an extremely time consuming and technically demanding task. Using focused ion beam/scanning electron microscope microscopy, we recently showed that virtually all synapses can be accurately identified as asymmetric or symmetric synapses when they are visualized, reconstructed, and quantified from large 3D tissue samples obtained in an automated manner. Nevertheless, the analysis, segmentation, and quantification of synapses is still a labor intensive procedure. Thus, novel solutions are currently necessary to deal with the large volume of data that is being generated by automated 3D electron microscopy. Accordingly, we have developed ESPINA, a software tool that performs the automated segmentation and counting of synapses in a reconstructed 3D volume of the cerebral cortex, and that greatly facilitates and accelerates these processes.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据