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QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence

机译:QuantIF:ImageJ宏可自动确定免疫荧光后感染细胞的百分比

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摘要

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 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.
机译:在免疫荧光或基因荧光报道蛋白表达后,计数标记细胞的计数通常用于量化病毒感染。但是,如果没有高内容筛选设备,这可能会非常繁琐。因此,我们开发了QuantIF,这是一个ImageJ宏,它可以分别使用DAPI和特定染色技术从同一场的两幅图像中自动确定细胞总数和标记细胞的数目。 QuantIF可以自动分析数百张图像,每个场大约花费一秒钟。它可以在MDPI.com上免费在线获得,并使用ImageJ开发,它是一种免费的图像处理程序,可以在具有Java虚拟机的任何计算机上运行,​​该Java虚拟机已分发给Windows,Mac和Linux。它通常在我们的实验室中用于量化体外病毒感染,但可以轻松用于需要定量标记细胞的其他应用。

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