期刊
PEERJ
卷 7, 期 -, 页码 -出版社
PEERJ INC
DOI: 10.7717/peerj.7729
关键词
ImageJ macro; FIJI; Machine learning; Lytic virus; Cytopathic effect; Plaque assay; Plaque size
资金
- Instituto Nacional de Tecnologia Agropecuaria and Agencia Nacional de Promocion Cientifica y Tecnologica [PICT 2014-982, PICT 2016-1327, PICT 2017-2581]
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 Viral Plaque, 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 Viral Plaque 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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