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Open AccessArticle

Infection Counter: Automated Quantification of in Vitro Virus Replication by Fluorescence Microscopy

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MRC Laboratory for Molecular Cell Biology, University College London, London WC1E 6BT, UK
2
Department of Cell and Developmental Biology, University College London, London WC1E 6BT, UK
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Division of Infection and Immunity, University College London, London WC1E 6BT, UK
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Wolfson Institute for Biomedical Research, University College London, London WC1E 6BT, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Eric O. Freed
Viruses 2016, 8(7), 201; https://doi.org/10.3390/v8070201
Received: 14 April 2016 / Revised: 1 July 2016 / Accepted: 5 July 2016 / Published: 21 July 2016
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. View Full-Text
Keywords: hepatitis C virus; ImageJ; image quantification; plaque assay; focus-forming assay hepatitis C virus; ImageJ; image quantification; plaque assay; focus-forming assay
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MDPI and ACS Style

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.

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