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A Method for Identification of Multisynaptic Boutons in Electron Microscopy Image Stack of Mouse Cortex
Deng, Hao1; Ma, Chao1; Han, Hua2; Xie, Qiwei2; Shen, Lijun1
发表期刊APPLIED SCIENCES-BASEL
2019-07-01
卷号9期号:13页码:19
通讯作者Ma, Chao(chao.ma.must@gmail.com)
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.
关键词electron microscopy multisynaptic bouton convolutional neural network image processing synapse neuron
DOI10.3390/app9132591
关键词[WOS]ACTIN-BASED PLASTICITY ; DENDRITIC SPINES ; SEGMENTATION ; SYNAPSES ; LTP
收录类别SCI
语种英语
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] ; 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]
项目资助者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
WOS研究方向Chemistry ; Materials Science ; Physics
WOS类目Chemistry, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS记录号WOS:000477031900012
出版者MDPI
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/27761
专题类脑智能研究中心_微观重建与智能分析
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
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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.
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