Knowledge Commons of Institute of Automation,CAS
An automated pipeline for bouton, spine, and synapse detection of in vivo two-photon images | |
Xie, Qiwei1,2,3; Chen, Xi3; Deng, Hao4; Liu, Danqian5; Sun, Yingyu6; Zhou, Xiaojuan6; Yang, Yang5,7; Han, Hua3,7,8 | |
发表期刊 | BIODATA MINING |
2017-12-20 | |
卷号 | 10期号:10页码:40 |
文章类型 | Article |
摘要 | Background: In the nervous system, the neurons communicate through synapses. The size, morphology, and connectivity of these synapses are significant in determining the functional properties of the neural network. Therefore, they have always been a major focus of neuroscience research. Two-photon laser scanning microscopy allows the visualization of synaptic structures in vivo, leading to many important findings. However, the identification and quantification of structural imaging data currently rely heavily on manual annotation, a method that is both time-consuming and prone to bias. |
关键词 | In Vivo Two-photon imagIng Synapse Bouton Spine Image Enhancement |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
DOI | 10.1186/s13040-017-0161-5 |
关键词[WOS] | DENDRITIC SPINES ; SEGMENTATION ; PLASTICITY |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | Special Program of Beijing Municipal Science & Technology Commission(Z161100000216146) ; Science and Technology Development Fund of Macau(044/2015/A2) ; Chinese Academy of Sciences(YZ201671) ; CAS(XDB02060001) ; Institute of Automation, CAS(Y3J2031DZ1) ; National Natural Science Foundation of China(61673381 ; 61201050 ; 61306070 ; 31472001) |
WOS研究方向 | Mathematical & Computational Biology |
WOS类目 | Mathematical & Computational Biology |
WOS记录号 | WOS:000418806400001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/21725 |
专题 | 脑图谱与类脑智能实验室_微观重建与智能分析 |
作者单位 | 1.Res Base Beijing Modern Mfg Dev, 100 Pingleyuan, Beijing 100124, Peoples R China 2.Beijing Univ Technol, Sch Management, Data Min Lab, 100 Pingleyuan, Beijing 100124, Peoples R China 3.Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 4.Macau Univ Sci & Technol, Fac Informat Technol, Ave Wai Long, Taipa, Macau, Peoples R China 5.Chinese Acad Sci, Inst Neurosci, 320 Yue Yang Rd, Shanghai 200031, Peoples R China 6.Beijing Normal Univ, 19 Waida Jie, Beijing 100875, Peoples R China 7.Chinese Acad Sci, Shanghai Inst Biol Sci, Ctr Excellence Brain Sci & Intelligence Technol, 320 Yue Yang Rd, Shanghai 200031, Peoples R China 8.Univ Chinese Acad Sci, Sch Future Technol, 19A Yuquan Rd, Beijing 100049, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Xie, Qiwei,Chen, Xi,Deng, Hao,et al. An automated pipeline for bouton, spine, and synapse detection of in vivo two-photon images[J]. BIODATA MINING,2017,10(10):40. |
APA | Xie, Qiwei.,Chen, Xi.,Deng, Hao.,Liu, Danqian.,Sun, Yingyu.,...&Han, Hua.(2017).An automated pipeline for bouton, spine, and synapse detection of in vivo two-photon images.BIODATA MINING,10(10),40. |
MLA | Xie, Qiwei,et al."An automated pipeline for bouton, spine, and synapse detection of in vivo two-photon images".BIODATA MINING 10.10(2017):40. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
An automated pipelin(3659KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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