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COMMUNITY DEVELOPMENT OF THE CELL-CENTERED DATABASE

COMMUNITY DEVELOPMENT OF THE CELL-CENTERED DATABASE
以细胞为中心的数据库的社区开发
批准号:
8554917
负责人:
Mark H Ellisman
金额:
$29.92万
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-30 至 2016-05-31

项目摘要

项目成果

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中文摘要
翻译
描述(由申请人提供):本提案概述了继续开发和维护OpenCCDB软件套件的计划,该软件套件是一套用于基于web的大型多维光学和电子显微镜成像数据集的管理,可视化和注释的工具。现代分析和基于分子的生物医学研究越来越多地利用多尺度和多模态细胞中心成像来深入了解细胞和组织分子机制的空间约束相互作用。OpenCCDB是在以细胞为中心的数据库(CCDB0)项目的支持下开发的,CCDB0是一个在线存储库和平台,用于共享细胞和组织的显微成像数据。CCDB项目的目标是开发联合访问大型3D成像数据集的解决方案,这些数据集由不同的仪器产生,并在不同的技术平台上维护。CCDB模型建立在灵活和可扩展的数据存储上,这些数据存储可以在全球范围内部署,但可以通过CCDB的中央元数据系统访问,并通过数据联盟(如神经科学信息框架(http://neuinfo.org))进行链接。在上一个资助期间,美国细胞生物学学会在ARRA资助的支持下启动了自己的数据存储库。细胞:图像库目前包含来自光学和电子显微镜的bbb37,000个示例成像数据集,所有这些数据集都可以通过优雅的以细胞为中心的用户界面获得。为了为研究和教育提供更加统一和可持续的资源,ASCB理事会和执行委员会于2011年投票决定与加州大学圣地亚哥分校的团队合作,将他们的策展和界面设计专业知识和成就与加州大学圣地亚哥分校的数据库和软件开发专业知识和成就结合起来。通过这样做,ASCB将其用户门户环境“the Cell:An Image Library”的开发和未来可持续性的控制权移交给了UCSD的CCDB团队。这个新联盟立即将CCDB的开源软件框架OpenCCDB应用于扩展the Cell: a Image Library系统的功能,增加了上传和探索海量数据集的新功能,促进了数据共享,并将其底层数据库与CCDB完全联合。由此产生的综合环境为科学界提供了一个比以前更全面的解决方案,以推动以细胞为中心的生物医学研究和教育。在本提案中,我们概述了在the Cell: a Image Library的背景下开发和部署额外的个性化数据管理和注释工具的目标,通过将社交网站的功能和工具与基于web的非常大的微观成像数据集的管理,共享,注释和联合的专门工具相结合。
英文摘要
DESCRIPTION (provided by applicant): This proposal outlines plans for continued development and maintenance of the OpenCCDB software suite, a set of tools for web-based management, visualization and annotation of large multidimensional light and electron microscopic imaging data sets. Modern analytical and molecularly-based biomedical investigations increasingly draw upon multiscale and multimodal cell-centered imaging to gain insight into spatially constrained interactions of molecular machinery of cells and tissues. The OpenCCDB was developed under the auspices of the Cell Centered Database (CCDB0 project, an on-line repository and platform for sharing microscopic imaging data of cells and tissues. The CCDB project was predicated on developing solutions for federating access to very large 3D imaging data sets, produced by diverse instrumentations and maintained across diverse technological platforms. The CCDB model is built on flexible and expandable data stores that can be fielded globally but accessed through CCDB's central metadata system and linked through data federations like the Neuroscience Information Framework (http://neuinfo.org). During the last funding period, the American Society for Cell Biology launched its own data repository, with support from ARRA funding. The Cell: An Image Library currently contains > 37,000 exemplary imaging data sets from light and electron microscopy, all available through an elegant cell-centered user interface. To provide a more unified and sustainable resource for research and education, the ASCB Council and Executive Committee voted in 2011 to partner their effort with the group at UCSD, combining their curatorial and interface design expertise and accomplishments with UCSD's database and software development expertise and accomplishments. In so doing, ASCB transitioned control of the development and future sustainability of their user portal environment, "The Cell:An Image Library" to the CCDB team at UCSD. Immediately, this new alliance applied CCDB's open source software framework, OpenCCDB, to the task of extending the functionality of The Cell: An Image Library system, adding new capability to upload and explore massive datasets, facilitate data sharing, and completely federate its underlying database with the CCDB. The resultant integrated environment offers the scientific community a more comprehensive solution to propel cell-centric biomedical research and education than that offered previously. In this proposal, we outline aims to develop and deploy additional personalized data management and annotation tools within the context of The Cell: An Image Library, by combining the power and tools of a social networking site with specialized tools for web-based management, sharing, annotation and federation of very large microscopic imaging data sets.
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会议论文
200keV, Energy Filtered, Intermediate-High Voltage Transmission Electron Microscope(IVEM)"
Scalable electron tomography for connectomics
  • 批准号:
    10410742
  • 项目类别:
  • 资助金额:
    $291.62万
  • 财政年份:
    2022
  • 负责人:
    Mark H Ellisman
  • 依托单位:
Reversing Microglial Inflammarafts and Mitochondrial Dysfunction in Alzheimer's Disease
National Center for Microscopy and Imaging Research: A BRAIN Technology Integration and Dissemination Resource
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