Infection Counter: Automated Quantification of in Vitro Virus Replication by Fluorescence Microscopy.
Infection Counter: Automated Quantification of in Vitro Virus Replication by Fluorescence Microscopy.
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DOI：
10.3390/v8070201
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发表时间：
2016-07-21
期刊：
影响因子：
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通讯作者：
Grove J
中科院分区：
文献类型：
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作者：
Culley S;Towers GJ;Selwood DL;Henriques R;Grove J
准确可靠地量化病毒感染的能力对基础和转化病毒学研究至关重要。在这里，我们描述了一种简单而强大的自动化方法，用于使用荧光显微镜来估计单层中病毒感染细胞的比例。我们提供了自动化分析工作流程的详细信息，以及免费提供的开源ImageJ插件，感染计数器，用于执行图像量化。以丙型肝炎病毒（HCV）为例，我们通过实验验证了我们的方法，证明它与已建立的病灶形成试验相当，甚至更好。最后，我们使用感染计数器来评估SMBz-CsA的抗hcv活性，SMBz-CsA是一种非免疫抑制环孢素类似物。
The ability to accurately and reliably quantify viral infection is essential to basic and translational virology research. Here, we describe a simple and robust automated method for using fluorescence microscopy to estimate the proportion of virally infected cells in a monolayer. We provide details of the automated analysis workflow along with a freely available open-source ImageJ plugin, Infection Counter, for performing image quantification. Using hepatitis C virus (HCV) as an example, we have experimentally verified our method, demonstrating that it is equivalent, if not better, than the established focus-forming assay. Finally, we used Infection Counter to assess the anti-HCV activity of SMBz-CsA, a non-immunosuppressive cyclosporine analogue.