中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Massive Data Management and Sharing Module for Connectome Reconstruction

文献类型:期刊论文

作者Yuan, Jingbin1; Zhang, Jing1; Shen, Lijun2; Zhang, Dandan2; Yu, Wenhuan2; Han, Hua3,4,5
刊名BRAIN SCIENCES
出版日期2020-05-01
卷号10期号:5页码:15
关键词connectome massive data management distributed storage and retrieval electron microscope image segmentation result image cache
DOI10.3390/brainsci10050314
通讯作者Shen, Lijun(lijun.shen@ia.ac.cn) ; Han, Hua(hua.han@ia.ac.cn)
英文摘要Recently, with the rapid development of electron microscopy (EM) technology and the increasing demand of neuron circuit reconstruction, the scale of reconstruction data grows significantly. This brings many challenges, one of which is how to effectively manage large-scale data so that researchers can mine valuable information. For this purpose, we developed a data management module equipped with two parts, a storage and retrieval module on the server-side and an image cache module on the client-side. On the server-side, Hadoop and HBase are introduced to resolve massive data storage and retrieval. The pyramid model is adopted to store electron microscope images, which represent multiresolution data of the image. A block storage method is proposed to store volume segmentation results. We design a spatial location-based retrieval method for fast obtaining images and segments by layers rapidly, which achieves a constant time complexity. On the client-side, a three-level image cache module is designed to reduce latency when acquiring data. Through theoretical analysis and practical tests, our tool shows excellent real-time performance when handling large-scale data. Additionally, the server-side can be used as a backend of other similar software or a public database to manage shared datasets, showing strong scalability.
WOS关键词SCANNING-ELECTRON-MICROSCOPY ; HIGH-RESOLUTION ; CONNECTIVITY ; ANNOTATION ; ANATOMY
资助项目National Science Foundation of China[61673381] ; National Science Foundation of China[61201050] ; National Science Foundation of China[61306070] ; National Science Foundation of China[61701497] ; National Science Foundation of China[11771130] ; National Science Foundation of China[61871177] ; Special Program of Beijing Municipal Science and Technology Commission[Z181100000118002] ; Strategic Priority Research Program of the Chinese Academy of Science[XDB32030200] ; Scientific Research Instrument and Equipment Development Project of the Chinese Academy of Sciences[YZ201671]
WOS研究方向Neurosciences & Neurology
语种英语
WOS记录号WOS:000541036100021
出版者MDPI
资助机构National Science Foundation of China ; Special Program of Beijing Municipal Science and Technology Commission ; Strategic Priority Research Program of the Chinese Academy of Science ; Scientific Research Instrument and Equipment Development Project of the Chinese Academy of Sciences
源URL[http://ir.ia.ac.cn/handle/173211/39915]  
专题类脑智能研究中心_微观重建与智能分析
通讯作者Shen, Lijun; Han, Hua
作者单位1.Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Peoples R China
2.Chinese Acad Sci, Res Ctr Brain Inspired Intelligence, Inst Automat, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
5.Univ Chinese Acad Sci, Sch Future Technol, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Yuan, Jingbin,Zhang, Jing,Shen, Lijun,et al. Massive Data Management and Sharing Module for Connectome Reconstruction[J]. BRAIN SCIENCES,2020,10(5):15.
APA Yuan, Jingbin,Zhang, Jing,Shen, Lijun,Zhang, Dandan,Yu, Wenhuan,&Han, Hua.(2020).Massive Data Management and Sharing Module for Connectome Reconstruction.BRAIN SCIENCES,10(5),15.
MLA Yuan, Jingbin,et al."Massive Data Management and Sharing Module for Connectome Reconstruction".BRAIN SCIENCES 10.5(2020):15.

入库方式: OAI收割

来源:自动化研究所

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