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laque 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 [ver mas...]
dc.contributor.authorCacciabue, Marco Polo
dc.contributor.authorCurra, Anabella Paola
dc.contributor.authorGismondi, Maria Ines
dc.date.accessioned2019-10-29T17:53:09Z
dc.date.available2019-10-29T17:53:09Z
dc.date.issued2019-09
dc.identifier.issn2167-8359
dc.identifier.otherhttps://doi.org/10.7717/peerj.7729
dc.identifier.urihttps://peerj.com/articles/7729/
dc.identifier.urihttp://hdl.handle.net/20.500.12123/6233
dc.description.abstractlaque 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.es_AR
dc.formatapplication/pdfeng
dc.language.isoeng
dc.publisherPeerJ
dc.rightsinfo:eu-repo/semantics/openAccesseng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourcePeerJ 7: e7729. (Septiembre 2019)es_AR
dc.subjectMachine Learningeng
dc.subjectAprendizaje Electrónicoes_AR
dc.subjectBioinformaticseng
dc.subjectBioinformáticaes_AR
dc.subjectAutomationeng
dc.subjectAutomatizaciónes_AR
dc.subjectProkaryotaees_AR
dc.subjectEukaryotaes_AR
dc.subjectVirologyeng
dc.subjectVirologíaes_AR
dc.subject.otherPlaque Assayeng
dc.subject.otherPlaque Sizeeng
dc.subject.otherCytopathic Effecteng
dc.titleViralPlaque: a Fiji macro for automated assessment of viral plaque statisticses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenInstituto de Biotecnologíaes_AR
dc.description.filFil: Cacciabue, Marco Polo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Curra, Anabella Paola. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Gismondi, Maria Ines. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.subtypecientifico


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