ViralPlaque: a Fiji macro for automated assessment of viral plaque statistics | Zendy

Marco Cacciabue | Zendy; Anabella Currá | Zendy; María Inés Gismondi | Zendy

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ViralPlaque: a Fiji macro for automated assessment of viral plaque statistics

Author(s) -

Marco Cacciabue,

Anabella Currá,

María Inés Gismondi

Publication year - 2019

Publication title -

peerj

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.927

H-Index - 70

ISSN - 2167-8359

DOI - 10.7717/peerj.7729

Subject(s) - macro , computer science , plug in , virus quantification , replication (statistics) , computational biology , adaptation (eye) , titer , virology , biology , virus , neuroscience , programming language

Plaque assay has been used for a long time to determine infectious titers and characterize prokaryotic and eukaryotic viruses forming plaques. Indeed, plaque morphology and dimensions can provide information regarding the replication kinetics and the virulence of a particular virus. In this work, we present ViralPlaque, a fast, open-source and versatile ImageJ macro for the automated determination of viral plaque dimensions from digital images. Also, a machine learning plugin is integrated in the analysis algorithm for adaptation of ViralPlaque to the user’s needs and experimental conditions. A high correlation between manual and automated measurements of plaque dimensions was demonstrated. This macro will facilitate reliable and reproducible characterization of cytolytic viruses with an increased processing speed.

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