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Implementation of LSIDs in the Open Microscopy Environment

Implementation of LSIDs in the Open Microscopy Environment
LSID 在开放显微镜环境中的实现
批准号:
BB/D006589/1
负责人:
Jason Swedlow
金额:
$7.59万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2006
资助国家:
英国
项目状态:
已结题
起止时间:
2006 至 --

项目摘要

项目成果

Jason Swedlow的其他基金

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中文摘要
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英文摘要
Biological microscopy has always required an 'imaging' capability: traditionally, an image of a sample was drawn on paper, or with the advent of light-sensitive film, recorded on media that conveniently allowed reproduction. However, the application of digital detectors to microscopy has converted the biological microscope into a quantitative assay device. The clinical and research applications for digital imaging microscopy are enormous, but these applications generate large amounts of data/a single time-lapse image can easily be 500 Mbytes. Four years ago, we began developing a data management tool for digital biological microscopy. Our project, the Open Microscopy Environment (OME; http://openmicroscopy.org) is now the leading provider of open source image management software for biological microscopy. A critical capability in image data management is understanding the source and history of all data. Knowledge of how data was recorded and the specification of the image acquisition system is especially important in biological imaging, as there are a large range of different imaging modalities. We have defined a common data model for biological microscopy that provides the framework for storing and sharing this image data. This structure is referred to as the OME Data Model, and is being used by a number of commercial and independent entities as a biological image data standard. However, the OME Data Model can capture a large amount of information, and it is critical that as much of this information be filled out as possible. Unfortunately filling out complex data forms is time consuming and thus unlikely to be adopted by most users unless it is automated and simplified. A separate project has specified a system of Life Science Identifiers (LSIDs) as unique identifiers for biological data and systems. This proposal seeks funds to support the integration of LSIDs into the OME specification for microscopes. Most importantly, we will build a user tool that stores microscopes configurations and then obtains an LSID for a microscope system that identifiees that system and can be used to describe most of the parameters for a given image acquisition system. A complex instrument specification and configuration can then be indicated by a single mmouse-click. Most importantly, this specification is uniquely identified, stored with all recorded images, and accessible ('resolvable'') by any OME server or other LSID-compliant system.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Modelling data across labs, genomes, space and time.
跨实验室、基因组、空间和时间的数据建模。
DOI: 10.1038/ncb1496
发表时间: 2006
期刊: Nature cell biology
影响因子: 21.3
作者: [Swedlow JR]
通讯作者: Swedlow JR
Connecting and Expanding RIKEN's Systems Science of Biological Dynamics and OME's Image Data Resource Databases
  • 批准号:
    BB/S013032/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $0.38万
  • 财政年份:
    2018
  • 负责人:
    Jason Swedlow
  • 依托单位:
BioStudies and the Image Data Resource: Expanding Imaging Datasets, Linkage, Metadata, and Value
  • 批准号:
    BB/R015384/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $74.41万
  • 财政年份:
    2018
  • 负责人:
    Jason Swedlow
  • 依托单位:
New Open File Formats for the Biological Imaging Community
  • 批准号:
    BB/P027032/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $13.12万
  • 财政年份:
    2017
  • 负责人:
    Jason Swedlow
  • 依托单位:
Building a Next Generation Image Repository: Molecular Annotation and Cloud-based Data Processing and Analysis
  • 批准号:
    BB/M018423/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $227.85万
  • 财政年份:
    2015
  • 负责人:
    Jason Swedlow
  • 依托单位: