A Confocal Fluorescence Microscopy Brain Data Archive

共焦荧光显微镜脑数据档案

• 批准号: 10186823
• 负责人: Marcel P Bruchez
• 金额: $ 91.76万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-19 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10186823
• 关键词: Address; Archives; BRAIN initiative; Biomedical Research; Brain; Brain imaging; Collaborations; Communities; Complex; Computer software; Coupled; Data; Data Set; Deposition; Development; Educational workshop; Ensure; Environment; Feedback; Fluorescence Microscopy; Frequencies; Future; Growth; Image; Imaging technology; Intuition; Microscopy; Mission; Modeling; Performance; Process; Provider; Reporting; Research; Research Personnel; Resolution; Resources; Schedule; Secure; Services; Specificity; Supercomputing; System; Techniques; Time; United States National Institutes of Health; Universities; Visualization; application programming interface; archive data; archived data; base; brain research; cost; data archive; data modeling; data pipeline; data submission; design; distributed data; flexibility; hackathon; image archival system; meetings; microscopic imaging; new technology; petabyte; web-accessible

PROJECT SUMMARY Advancements in the field of microscopy and imaging have pushed the boundaries of what was once thought possible in many fields of research. New techniques coupled with the application of new technologies allows researchers to probe further and with greater accuracy to answer increasingly complex questions. While these new techniques allow for far greater specificity of observation and increased sensitivity in regard to both resolution and frequency, the amount of data generated is increasing to a point where conventional systems are unable to manage it. At the current time, there is no practical way to analyze, mine, share or interact with large (100+TB) brain image datasets. The development of a national, scalable archival solution for such datasets is a pressing problem extremely important and central to the NIH mission as in the future there will be a continuous and sustained growth in data scale. To address this issue, this proposal establishes the BRAIN Imaging Archive (or more simply “the Archive”) data service in Pittsburgh PA as a collaboration of the Pittsburgh Supercomputing Center (PSC), the University of Pittsburgh (PITT), and Carnegie Mellon University (CMU). The Archive encompasses the deposition of datasets, the integration of datasets into a searchable web- accessible system, the redistribution of datasets, and a computational enclave to allow researchers to process datasets in-place and share restricted and pre-release datasets. The Archive will, for the first time, provide researchers with a practical way to analyze, mine, share or interact with large (100+TB) image datasets by creating a unique public resource for the BRAIN research community.

项目总结