Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.redox.2013.12.020
DC FieldValue
dc.titleOpenComet: An automated tool for comet assay image analysis
dc.contributor.authorGyori, B.M.
dc.contributor.authorVenkatachalam, G.
dc.contributor.authorThiagarajan, P.S.
dc.contributor.authorHsu, D.
dc.contributor.authorClement, M.-V.
dc.date.accessioned2014-07-04T03:10:06Z
dc.date.available2014-07-04T03:10:06Z
dc.date.issued2014
dc.identifier.citationGyori, B.M., Venkatachalam, G., Thiagarajan, P.S., Hsu, D., Clement, M.-V. (2014). OpenComet: An automated tool for comet assay image analysis. Redox Biology 2 (1) : 457-465. ScholarBank@NUS Repository. https://doi.org/10.1016/j.redox.2013.12.020
dc.identifier.issn22132317
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/77899
dc.description.abstractReactive species such as free radicals are constantly generated in vivo and DNA is the most important target of oxidative stress. Oxidative DNA damage is used as a predictive biomarker to monitor the risk of development of many diseases. The comet assay is widely used for measuring oxidative DNA damage at a single cell level. The analysis of comet assay output images, however, poses considerable challenges. Commercial software is costly and restrictive, while free software generally requires laborious manual tagging of cells. This paper presents OpenComet, an open-source software tool providing automated analysis of comet assay images. It uses a novel and robust method for finding comets based on geometric shape attributes and segmenting the comet heads through image intensity profile analysis. Due to automation, OpenComet is more accurate, less prone to human bias, and faster than manual analysis. A live analysis functionality also allows users to analyze images captured directly from a microscope. We have validated OpenComet on both alkaline and neutral comet assay images as well as sample images from existing software packages. Our results show that OpenComet achieves high accuracy with significantly reduced analysis time. © 2014 The Authors.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.redox.2013.12.020
dc.sourceScopus
dc.subjectComet assay
dc.subjectDNA damage
dc.subjectImage processing
dc.subjectImageJ plug-in
dc.subjectIntensity profile analysis
dc.subjectSingle cell gel electrophoresis
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentBIOCHEMISTRY
dc.description.doi10.1016/j.redox.2013.12.020
dc.description.sourcetitleRedox Biology
dc.description.volume2
dc.description.issue1
dc.description.page457-465
dc.identifier.isiut000350769600055
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