Infection Counter: Automated Quantification of in Vitro Virus Replication by Fluorescence Microscopy
AbstractThe 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. View Full-Text
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Culley, S.; Towers, G.J.; Selwood, D.L.; Henriques, R.; Grove, J. Infection Counter: Automated Quantification of in Vitro Virus Replication by Fluorescence Microscopy. Viruses 2016, 8, 201.
Culley S, Towers GJ, Selwood DL, Henriques R, Grove J. Infection Counter: Automated Quantification of in Vitro Virus Replication by Fluorescence Microscopy. Viruses. 2016; 8(7):201.Chicago/Turabian Style
Culley, Siân; Towers, Greg J.; Selwood, David L.; Henriques, Ricardo; Grove, Joe. 2016. "Infection Counter: Automated Quantification of in Vitro Virus Replication by Fluorescence Microscopy." Viruses 8, no. 7: 201.
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