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.
Original language | English |
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Article number | 201 |
Journal | Viruses |
Volume | 8 |
Issue number | 7 |
DOIs | |
Publication status | Published - 21 Jul 2016 |
Keywords
- Focus-forming assay
- Hepatitis C virus
- Image quantification
- ImageJ
- Plaque assay