ALGORITHMS FOR FRET ANALYSIS

品格分析算法

• 批准号: 8365924
• 负责人: ERIC MULLER
• 金额: $ 8.08万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8365924
• 关键词: Biology; Computers; Fluorescence Resonance Energy Transfer; Funding; Fungal Genome; Grant; Image; Image Analysis; Modeling; National Center for Research Resources; Principal Investigator; Research; Research Infrastructure; Resources; Source; Staging; United States National Institutes of Health; computerized data processing; cost; fluorescence imaging; image processing; processing speed

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Our current FRET approach consists of 4 stages: 1) image acquisition, 2) image processing, 3) data processing and 4) model building. To speed the process we are developing computer scripts to automate steps 2-4. In addition the scripts will be adapted to other fluorescence image analysis.

该副本是利用资源的众多研究子项目之一 由NIH/NCRR资助的中心赠款提供。对该子弹的主要支持 而且，副投影的主要研究员可能是其他来源提供的 包括其他NIH来源。 列出的总费用可能 代表subproject使用的中心基础架构的估计量， NCRR赠款不直接向子弹或副本人员提供的直接资金。 我们当前的FRET方法包括4个阶段：1）图像采集，2）图像处理，3）数据处理和4）模型构建。为了加快流程，我们正在开发计算机脚本以自动化步骤2-4。此外，脚本将适用于其他荧光图像分析。