Flexible Automatic Algorithm for Comet Assay Analysis

Alvaro Bocanegra-Pérez, Daya Serrano-Delgado, Sergio Pulido-Castro, Alejandro Ondo-Méndez, Francisco Londoño-Hoyos, Juan Manuel López-López

Resultado de la investigación: Tipos de Contribuciónes en ConferenciaPaper

Resumen

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.
Idioma originalEnglish (US)
DOI
EstadoPublished - dic 21 2018
Evento14th International Symposium on Medical
Information Processing and Analysis
- Universidad Politécnica de Sinaloa, Mazatlan
Duración: oct 24 2018oct 26 2018
http://www.sipaim.org/home

Conference

Conference14th International Symposium on Medical
Information Processing and Analysis
Título abreviadoSIPAIM
PaísMexico
CiudadMazatlan
Período10/24/1810/26/18
Dirección de internet

Citar esto

Bocanegra-Pérez, A., Serrano-Delgado, D., Pulido-Castro, S., Ondo-Méndez, A., Londoño-Hoyos, F., & López-López, J. M. (2018). Flexible Automatic Algorithm for Comet Assay Analysis. Papel presentado en 14th International Symposium on Medical
Information Processing and Analysis, Mazatlan, . https://doi.org/10.1117/12.2511199, https://doi.org/10.1117/12.2511199
Bocanegra-Pérez, Alvaro ; Serrano-Delgado, Daya ; Pulido-Castro, Sergio ; Ondo-Méndez, Alejandro ; Londoño-Hoyos, Francisco ; López-López, Juan Manuel. / Flexible Automatic Algorithm for Comet Assay Analysis. Papel presentado en 14th International Symposium on Medical
Information Processing and Analysis, Mazatlan, .
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title = "Flexible Automatic Algorithm for Comet Assay Analysis",
abstract = "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.",
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Bocanegra-Pérez, A, Serrano-Delgado, D, Pulido-Castro, S, Ondo-Méndez, A, Londoño-Hoyos, F & López-López, JM 2018, 'Flexible Automatic Algorithm for Comet Assay Analysis' Papel presentado en, Mazatlan, 10/24/18 - 10/26/18, . https://doi.org/10.1117/12.2511199, https://doi.org/10.1117/12.2511199

Flexible Automatic Algorithm for Comet Assay Analysis. / Bocanegra-Pérez, Alvaro; Serrano-Delgado, Daya; Pulido-Castro, Sergio; Ondo-Méndez, Alejandro; Londoño-Hoyos, Francisco; López-López, Juan Manuel.

2018. Papel presentado en 14th International Symposium on Medical
Information Processing and Analysis, Mazatlan, .

Resultado de la investigación: Tipos de Contribuciónes en ConferenciaPaper

TY - CONF

T1 - Flexible Automatic Algorithm for Comet Assay Analysis

AU - Bocanegra-Pérez, Alvaro

AU - Serrano-Delgado, Daya

AU - Pulido-Castro, Sergio

AU - Ondo-Méndez, Alejandro

AU - Londoño-Hoyos, Francisco

AU - López-López, Juan Manuel

PY - 2018/12/21

Y1 - 2018/12/21

N2 - 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.

AB - 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.

U2 - 10.1117/12.2511199

DO - 10.1117/12.2511199

M3 - Paper

ER -

Bocanegra-Pérez A, Serrano-Delgado D, Pulido-Castro S, Ondo-Méndez A, Londoño-Hoyos F, López-López JM. Flexible Automatic Algorithm for Comet Assay Analysis. 2018. Papel presentado en 14th International Symposium on Medical
Information Processing and Analysis, Mazatlan, . https://doi.org/10.1117/12.2511199, https://doi.org/10.1117/12.2511199