A Method for Identification of Multisynaptic Boutons in Electron Microscopy Image Stack of Mouse Cortex

doi:10.3390/app9132591

	A Method for Identification of Multisynaptic Boutons in Electron Microscopy Image Stack of Mouse Cortex
	Deng, Hao 1; Ma, Chao 1; Han, Hua2 ; Xie, Qiwei2 ; Shen, Lijun 1
刊名	APPLIED SCIENCES-BASEL
	2019-07-01
卷号	9 期号:13 页码:19
关键词	electron microscopy multisynaptic bouton convolutional neural network image processing synapse neuron
DOI	10.3390/app9132591
通讯作者	Ma, Chao(chao.ma.must@gmail.com)
英文摘要	Recent electron microscopy (EM) imaging techniques make the automatic acquisition of a large number of serial sections from brain samples possible. On the other hand, it has been proven that the multisynaptic bouton (MSB), a structure that consists of one presynaptic bouton and multiple postsynaptic spines, is closely related to sensory deprivation, brain trauma, and learning. Nevertheless, it is still a challenging task to analyze this essential structure from EM images due to factors such as imaging artifacts and the presence of complicated subcellular structures. In this paper, we present an effective way to identify the MSBs on EM images. Using normalized images as training data, two convolutional neural networks (CNNs) are trained to obtain the segmentation of synapses and the probability map of the neuronal membrane, respectively. Then, a series of follow-up operations are employed to obtain rectified segmentation of synapses and segmentation of neurons. By incorporating this information, the MSBs can be reasonably identified. The dataset in this study is an image stack of mouse cortex that contains 178 serial images with a size of 6004 pixels x 5174 pixels and a voxel resolution of 2 nm x 2 nm x 50 nm. The precision and recall on MSB detection are 68.57% and 94.12%, respectively. Experimental results demonstrate that our method is conducive to biologists' research on MSBs' properties.
资助项目	Science and Technology Development Fund of Macau[0024/2018/A1] ; National Natural Science Foundation of China[61673381] ; Scientific Instrument Developing Project of the Chinese Academy of Sciences[YZ201671] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32030200] ; Special Program of the Beijing Municipal Science & Technology Commission[Z181100000118002]
WOS关键词	ACTIN-BASED PLASTICITY ; DENDRITIC SPINES ; SEGMENTATION ; SYNAPSES ; LTP
WOS研究方向	Chemistry ; Materials Science ; Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:000477031900012
资助机构	Science and Technology Development Fund of Macau ; National Natural Science Foundation of China ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Special Program of the Beijing Municipal Science & Technology Commission
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/27760]
专题	中国科学院自动化研究所
通讯作者	Ma, Chao
作者单位	1.Macau Univ Sci & Technol, Fac Informat Technol, Macau 999078, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Deng, Hao,Ma, Chao,Han, Hua,et al. A Method for Identification of Multisynaptic Boutons in Electron Microscopy Image Stack of Mouse Cortex[J]. APPLIED SCIENCES-BASEL,2019,9(13):19.
APA	Deng, Hao,Ma, Chao,Han, Hua,Xie, Qiwei,&Shen, Lijun.(2019).A Method for Identification of Multisynaptic Boutons in Electron Microscopy Image Stack of Mouse Cortex.APPLIED SCIENCES-BASEL,9(13),19.
MLA	Deng, Hao,et al."A Method for Identification of Multisynaptic Boutons in Electron Microscopy Image Stack of Mouse Cortex".APPLIED SCIENCES-BASEL 9.13(2019):19.