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

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.

SUBMITTER: Culley S

PROVIDER: S-EPMC4974536 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature

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

Culley Siân S Towers Greg J GJ Selwood David L DL Henriques Ricardo R Grove Joe J

Viruses 20160721 7

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 ...[more]

PMID: 27455304

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