ALGORITHMS FOR FRET ANALYSIS

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 我们目前的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）模型建立。为了加快这个过程，我们正在开发计算机脚本来自动执行步骤2-4。此外，该脚本将适用于其他荧光图像分析。

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.