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Viruses 2016, 8(7), 201; doi:10.3390/v8070201

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

1
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
3
Division of Infection and Immunity, University College London, London WC1E 6BT, UK
4
Wolfson Institute for Biomedical Research, University College London, London WC1E 6BT, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Eric O. Freed
Received: 14 April 2016 / Revised: 1 July 2016 / Accepted: 5 July 2016 / Published: 21 July 2016
View Full-Text   |   Download PDF [3428 KB, uploaded 21 July 2016]   |  

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. 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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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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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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