GUV-AP：基于 Fiji 的多功能工具，用于对巨单层囊泡进行定量图像分析。
GUV-AP: multifunctional FIJI-based tool for quantitative image analysis of Giant Unilamellar Vesicles.
机构信息
Faculty of Biology, Albert Ludwigs University Freiburg, Schänzlestraße 1, Freiburg im Breisgau, Germany.
Synthetic Biology of Signalling Processes, Signalling Research Centres BIOSS and CIBSS, Albert Ludwigs University Freiburg, Schänzlestraße 18, Freiburg im Breisgau, Germany.
出版信息
Bioinformatics. 2019 Jul 1;35(13):2340-2342. doi: 10.1093/bioinformatics/bty962.
MOTIVATION
Giant Unilamellar Vesicles (GUVs) are widely used synthetic membrane systems that mimic native membranes and cellular processes. Various fluorescence imaging techniques can be employed for their characterization. In order to guarantee a fast and unbiased analysis of imaging data, the development of automated recognition and processing steps is required.
RESULTS
We developed a fast and versatile Fiji-based macro for the analysis of digital microscopy images of GUVs. This macro was designed to investigate membrane dye incorporation and protein binding to membranes. Moreover, we propose a fluorescence intensity-based method to quantitatively assess protein binding.
AVAILABILITY AND IMPLEMENTATION
The ImageJ distribution package FIJI is freely available online: https://imagej.net/Fiji. The macro file GUV-AP.ijm is available at https://github.com/AG-Roemer/GUV-AP.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
动机
巨大单层囊泡（GUV）是广泛用于模拟天然膜和细胞过程的合成膜系统。可以采用各种荧光成像技术对其进行表征。为了保证对成像数据进行快速和无偏的分析，需要开发自动识别和处理步骤。
结果
我们开发了一个基于 Fiji 的快速而通用的宏，用于分析 GUV 的数字显微镜图像。该宏旨在研究膜染料掺入和蛋白质与膜的结合。此外，我们提出了一种基于荧光强度的方法来定量评估蛋白质结合。
可用性和实现
ImageJ 分发包 FIJI 可在线免费获取：https://imagej.net/Fiji。宏文件 GUV-AP.ijm 可在 https://github.com/AG-Roemer/GUV-AP 上获取。
补充信息
补充数据可在生物信息学在线获取。
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