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New Open File Formats for the Biological Imaging Community

New Open File Formats for the Biological Imaging Community
生物成像社区的新开放文件格式
批准号:
BB/P027032/1
负责人:
Jason Swedlow
金额:
$13.12万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

项目摘要

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中文摘要
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英文摘要
Biological microscopy has always involved "imaging": images were initially hand drawn and with the advent of light-sensitive film, recorded and then reproduced on paper. These methods distorted the relationships between the signals they recorded (formally, they are "non-linear media"), making it difficult to use them for scientific measurements. However, the application of digital detectors to microscopy delivered "linear" measurements suitable for scientific use. This, combined with automation, spawned massive growth in the number and diversity of uses for digital imaging in basic and clinical research. Each platform produces many GBytes of data, usually in a closed, proprietary file format. These are powerful systems, but their full utility is limited by closed data and the difficulty of viewing and sharing large datasets on standard desktop computers.The Open Microscopy Environment (OME) has built open software tools that enable access, analysis, viewing and sharing of this data. Initially built for light microscopy, we have successfully extended these tools to electron microscopy, high content screening (used for drug discovery in pharmaceutical research) and digital pathology. This proposal seeks to extend the file formats that OME supports and ensure there are specifications and software that meet the demands of the most advanced biological imaging modalities. All of OME's software and resources are open source, available on-line to anyone, and supported by a dedicated team that manages documentation and community outreach.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
OME-NGFF: a next-generation file format for expanding bioimaging data-access strategies.
OME-NGFF:一种下一代文件格式,用于扩展生物成像数据访问策略。
DOI: 10.1038/s41592-021-01326-w
发表时间: 2021-12
期刊: Nature methods
影响因子: 48
作者: [Moore J, Allan C, Besson S, Burel JM, Diel E, Gault D, Kozlowski K, Lindner D, Linkert M, Manz T, Moore W, Pape C, Tischer C, Swedlow JR]
通讯作者: Swedlow JR
DOI: 10.1007/978-3-030-23937-4_1
发表时间: 2019-04-01
期刊: Digital pathology : 15th European Congress, ECDP 2019, Warwick, UK, April 10-13, 2019, Proceedings. European Congress on Digital Pathology (15th : 2019 : Warwick, United Kingdom)
影响因子: --
作者: [Besson, Sebastien, Leigh, Roger, Swedlow, Jason R]
通讯作者: Swedlow, Jason R
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:
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:
Expanded Metadata Support in the Open Microscopy Environment's Bio-Formats & OMERO Data Applications
  • 批准号:
    BB/L024233/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $70.21万
  • 财政年份:
    2014
  • 负责人:
    Jason Swedlow
  • 依托单位:
国内基金
海外基金
精子发生中mRNA下游开放阅读框(downstream Open Reading Frame,dORF)的功能研究
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    54万元
  • 批准年份:
    2022
  • 负责人:
    刘明兮
  • 依托单位:
基于升阶谱方法和Open CASCADE的高阶网格自动生成技术研究
  • 批准号:
    11972004
  • 项目类别:
    面上项目
  • 资助金额:
    62.0万元
  • 批准年份:
    2019
  • 负责人:
    刘波
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位:
变分与拓扑方法和Schrodinger方程中的Open 问题
  • 批准号:
    10871109
  • 项目类别:
    面上项目
  • 资助金额:
    23.0万元
  • 批准年份:
    2008
  • 负责人:
    邹文明
  • 依托单位: