Culley, S;
Towers, GJ;
Selwood, DL;
Henriques, R;
Grove, J;
(2016)
Infection Counter: Automated Quantification of in Vitro Virus Replication by Fluorescence Microscopy.
Viruses
, 8
(7)
, Article 201. 10.3390/v8070201.
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Abstract
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.
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