FLIM-FRET analyzer: open source software for automation of lifetime-based FRET analysis.

Q2 Decision Sciences Source Code for Biology and Medicine Pub Date : 2017-11-03 eCollection Date: 2017-01-01 DOI:10.1186/s13029-017-0067-0

Jiho Kim, Yury Tsoy, Jan Persson, Regis Grailhe

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引用次数: 6

Abstract

Background: Despite the broad use of FRET techniques, available methods for analyzing protein-protein interaction are subject to high labor and lack of systematic analysis. We propose an open source software allowing the quantitative analysis of fluorescence lifetime imaging (FLIM) while integrating the steady-state fluorescence intensity information for protein-protein interaction studies.

Findings: Our developed open source software is dedicated to fluorescence lifetime imaging microscopy (FLIM) data obtained from Becker & Hickl SPC-830. FLIM-FRET analyzer includes: a user-friendly interface enabling automated intensity-based segmentation into single cells, time-resolved fluorescence data fitting to lifetime value for each segmented objects, batch capability, and data representation with donor lifetime versus acceptor/donor intensity quantification as a measure of protein-protein interactions.

Conclusions: The FLIM-FRET analyzer software is a flexible application for lifetime-based FRET analysis. The application, the C#. NET source code, and detailed documentation are freely available at the following URL: http://FLIM-analyzer.ip-korea.org.

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FLIM-FRET分析仪:开源软件的自动化基于生命周期的FRET分析。

背景:尽管FRET技术的广泛使用，现有的方法来分析蛋白质-蛋白质相互作用是受高劳动和缺乏系统的分析。我们提出了一个开源软件，允许定量分析荧光寿命成像(FLIM)，同时集成稳态荧光强度信息用于蛋白质-蛋白质相互作用研究。研究结果:我们开发的开源软件专门用于从Becker & Hickl SPC-830获得的荧光寿命成像显微镜(FLIM)数据。flm - fret分析仪包括:一个用户友好的界面，允许基于强度的自动分割成单个细胞，时间分辨荧光数据适合每个分割对象的寿命值，批处理能力，以及供体寿命与受体/供体强度量化的数据表示，作为蛋白质-蛋白质相互作用的测量。结论:FLIM-FRET分析仪软件是一个灵活的应用终身为基础的FRET分析。应用程序，c#。NET源代码和详细文档可在以下URL免费获得:http://FLIM-analyzer.ip-korea.org。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Source Code for Biology and Medicine Decision Sciences-Information Systems and Management

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期刊介绍： Source Code for Biology and Medicine is a peer-reviewed open access, online journal that publishes articles on source code employed over a wide range of applications in biology and medicine. The journal"s aim is to publish source code for distribution and use in the public domain in order to advance biological and medical research. Through this dissemination, it may be possible to shorten the time required for solving certain computational problems for which there is limited source code availability or resources.

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