QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence
QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence
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DOI：
10.3390/v11020165
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发表时间：
2019-02-01
期刊：
影响因子：
4.7
通讯作者：
Helle, Francois
中科院分区：
文献类型：
--
作者：
Handala, Lynda;Fiore, Tony;Helle, Francois
在免疫荧光或基因荧光报告蛋白表达后，对标记细胞进行计数，经常用于量化病毒感染。然而，如果没有高内容筛选设备，这可能会非常繁琐。出于这个原因，我们开发了QuantIF，这是一个ImageJ宏，可以分别使用DAPI染色和特定染色，自动确定来自同一字段的两张图像的细胞总数和标记细胞数量。QuantIF可以自动分析数百张图像，每个字段大约需要一秒钟。它可以在MDPI.com上作为补充数据免费获得，并且是使用ImageJ开发的。ImageJ是一个免费的图像处理程序，可以在任何带有Java虚拟机的计算机上运行，该虚拟机适用于Windows、Mac和Linux。它通常在我们的实验室中用于体外定量病毒感染，但可以很容易地用于需要定量标记细胞的其他应用。
Counting labeled cells, after immunofluorescence or expression of a genetically fluorescent reporter protein, is frequently used to quantify viral infection. However, this can be very tedious without a high content screening apparatus. For this reason, we have developed QuantIF, an ImageJ macro that automatically determines the total number of cells and the number of labeled cells from two images of the same field, using DAPI- and specific-stainings, respectively. QuantIF can automatically analyze hundreds of images, taking approximately one second for each field. It is freely available as supplementary data online at MDPI.com and has been developed using ImageJ, a free image processing program that can run on any computer with a Java virtual machine, which is distributed for Windows, Mac, and Linux. It is routinely used in our labs to quantify viral infections in vitro, but can easily be used for other applications that require quantification of labeled cells.