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Flexible automatic algorithm for comet assay analysis

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dc.creatorBocanegra Pérez Á.J.spa
dc.creatorSerrano Delgado D.spa
dc.creatorPulido Castro S.D.spa
dc.creatorOndo Méndez, Alejandro Oyonospa
dc.creatorLondoño Hoyos F.J.spa
dc.creatorLópez López J.M.spa
dc.date.accessioned2020-05-25T23:58:27Z
dc.date.available2020-05-25T23:58:27Z
dc.date.created2018spa
dc.description.abstractThe comet assay is a commonly used technique in molecular and cell biology fields, for studies in which the DNA damage of a cell is measured. For instance, it is useful to analyze whenever a carcinogenic cell is affected by chemical agents, helping with oncology research. Traditionally, in order to evaluate the damage of a cell, an expert observes the morphology and the intensity (brightness) of the resulting comet. However, taking into account that a large number of images have to be analyzed, this task may demand a lot of time to be done manually. In recent years, the comet assay analysis has been implemented semi-automatically and automatically with the rise of new image processing algorithms. Although these new algorithms reduce the time invested in the image analysis, some problems in comet identification and accurate measure of their components need to be improved. This project aimed to develop an algorithm and an interface, named CometLab, for flexible automatic comet segmentation. Its performance was assessed with a set of images and compared against an open source, available software called OpenComet. It was found that only 1 of the 15 features that were extracted by both algorithms was not statistically correlated (head diameter), meaning that the designed application is suitable; therefore, this research helped to obtain information about the performance of CometLab in comparison to OpenComet, which serves as setpoint for future works in which it would be possible to decide which algorithm is better. © SPIE. Downloading of the abstract is permitted for personal use only.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1117/12.2511199
dc.identifier.issn1981
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22867
dc.language.isoengspa
dc.publisherSPIEspa
dc.relation.citationTitleProceedings of SPIE - The International Society for Optical Engineering
dc.relation.citationVolumeVol. 10975
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineering, ISSN:1981, Vol.10975,(2018)spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060509965&doi=10.1117%2f12.2511199&partnerID=40&md5=fd26ebb01d839955563fd7bb00b1a3faspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordBioinformaticsspa
dc.subject.keywordCellsspa
dc.subject.keywordCytologyspa
dc.subject.keywordImage analysisspa
dc.subject.keywordImage enhancementspa
dc.subject.keywordImage processingspa
dc.subject.keywordImage segmentationspa
dc.subject.keywordOpen source softwarespa
dc.subject.keywordOpen systemsspa
dc.subject.keywordAutomatic algorithmsspa
dc.subject.keywordAutomatic segmentationsspa
dc.subject.keywordCell biologyspa
dc.subject.keywordChemical agentspa
dc.subject.keywordComet assaysspa
dc.subject.keywordHead diametersspa
dc.subject.keywordImage processing algorithmspa
dc.subject.keywordOpen sourcesspa
dc.subject.keywordChemical analysisspa
dc.subject.keywordAutomatic segmentationspa
dc.subject.keywordComet assay analysisspa
dc.subject.keywordImage processing.spa
dc.titleFlexible automatic algorithm for comet assay analysisspa
dc.typeconferenceObjecteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaDocumento de conferenciaspa
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