Infection counter: Automated quantification of in vitro virus replication by fluorescence microscopy

Siân Culley, Greg J. Towers, David L. Selwood, Ricardo Henriques, Joe Grove*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

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 languageEnglish
Article number201
JournalViruses
Volume8
Issue number7
DOIs
Publication statusPublished - 21 Jul 2016

Keywords

  • Focus-forming assay
  • Hepatitis C virus
  • Image quantification
  • ImageJ
  • Plaque assay

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