Flexible automatic algorithm for comet assay analysis
The 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...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/22867
- Acceso en línea:
- https://doi.org/10.1117/12.2511199
https://repository.urosario.edu.co/handle/10336/22867
- Palabra clave:
- Bioinformatics
Cells
Cytology
Image analysis
Image enhancement
Image processing
Image segmentation
Open source software
Open systems
Automatic algorithms
Automatic segmentations
Cell biology
Chemical agent
Comet assays
Head diameters
Image processing algorithm
Open sources
Chemical analysis
Automatic segmentation
Comet assay analysis
Image processing.
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
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Flexible automatic algorithm for comet assay analysisBioinformaticsCellsCytologyImage analysisImage enhancementImage processingImage segmentationOpen source softwareOpen systemsAutomatic algorithmsAutomatic segmentationsCell biologyChemical agentComet assaysHead diametersImage processing algorithmOpen sourcesChemical analysisAutomatic segmentationComet assay analysisImage processing.The 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.SPIE20182020-05-25T23:58:27Zinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fapplication/pdfhttps://doi.org/10.1117/12.25111991981https://repository.urosario.edu.co/handle/10336/22867instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURenghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060509965&doi=10.1117%2f12.2511199&partnerID=40&md5=fd26ebb01d839955563fd7bb00b1a3fahttp://purl.org/coar/access_right/c_abf2Bocanegra Pérez Á.J.Serrano Delgado D.Pulido Castro S.D.Ondo Méndez, Alejandro OyonoLondoño Hoyos F.J.López López J.M.oai:repository.urosario.edu.co:10336/228672022-05-02T07:37:16Z |
dc.title.none.fl_str_mv |
Flexible automatic algorithm for comet assay analysis |
title |
Flexible automatic algorithm for comet assay analysis |
spellingShingle |
Flexible automatic algorithm for comet assay analysis Bioinformatics Cells Cytology Image analysis Image enhancement Image processing Image segmentation Open source software Open systems Automatic algorithms Automatic segmentations Cell biology Chemical agent Comet assays Head diameters Image processing algorithm Open sources Chemical analysis Automatic segmentation Comet assay analysis Image processing. |
title_short |
Flexible automatic algorithm for comet assay analysis |
title_full |
Flexible automatic algorithm for comet assay analysis |
title_fullStr |
Flexible automatic algorithm for comet assay analysis |
title_full_unstemmed |
Flexible automatic algorithm for comet assay analysis |
title_sort |
Flexible automatic algorithm for comet assay analysis |
dc.subject.none.fl_str_mv |
Bioinformatics Cells Cytology Image analysis Image enhancement Image processing Image segmentation Open source software Open systems Automatic algorithms Automatic segmentations Cell biology Chemical agent Comet assays Head diameters Image processing algorithm Open sources Chemical analysis Automatic segmentation Comet assay analysis Image processing. |
topic |
Bioinformatics Cells Cytology Image analysis Image enhancement Image processing Image segmentation Open source software Open systems Automatic algorithms Automatic segmentations Cell biology Chemical agent Comet assays Head diameters Image processing algorithm Open sources Chemical analysis Automatic segmentation Comet assay analysis Image processing. |
description |
The 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. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2020-05-25T23:58:27Z |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_c94f |
dc.identifier.none.fl_str_mv |
https://doi.org/10.1117/12.2511199 1981 https://repository.urosario.edu.co/handle/10336/22867 |
url |
https://doi.org/10.1117/12.2511199 https://repository.urosario.edu.co/handle/10336/22867 |
identifier_str_mv |
1981 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060509965&doi=10.1117%2f12.2511199&partnerID=40&md5=fd26ebb01d839955563fd7bb00b1a3fa |
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http://purl.org/coar/access_right/c_abf2 |
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http://purl.org/coar/access_right/c_abf2 |
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application/pdf |
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SPIE |
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SPIE |
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instname:Universidad del Rosario reponame:Repositorio Institucional EdocUR |
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Universidad del Rosario |
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Universidad del Rosario |
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Repositorio Institucional EdocUR |
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Repositorio Institucional EdocUR |
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1803710388955512832 |