Flexible Automatic Algorithm for Comet Assay Analysis

Título traducido de la contribución: Algoritmo automático flexible para el análisis de ensayos de cometas

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

Resultado de la investigación: Contribución a una conferenciaArtículo

Resumen

El ensayo del cometa es una técnica comúnmente utilizada en los campos de la biología molecular y celular, para estudios en los que se mide el daño del ADN de una célula. Por ejemplo, es útil analizar cuando una célula cancerígena es afectada por agentes químicos, ayudando en la investigación oncológica. Tradicionalmente, para evaluar el daño de una célula, un experto observa la morfología y la intensidad (brillo) del cometa resultante. Sin embargo, teniendo en cuenta que un gran número de imágenes tienen que ser analizadas, esta tarea puede requerir mucho tiempo para ser realizada manualmente. En los últimos años, el análisis del ensayo del cometa se ha implementado de forma semiautomática y automática con el surgimiento de nuevos algoritmos de procesamiento de imágenes. Aunque estos nuevos algoritmos reducen el tiempo invertido en el análisis de imágenes, es necesario mejorar algunos problemas en la identificación de los cometas y la medición precisa de sus componentes. El objetivo de este proyecto era desarrollar un algoritmo y una interfaz, denominada CometLab, para una segmentación automática y flexible de los cometas. Su rendimiento se evaluó con un conjunto de imágenes y se comparó con un software de código abierto disponible llamado OpenComet. Se encontró que sólo 1 de las 15 características que fueron extraídas por ambos algoritmos no estaba estadísticamente correlacionada (diámetro de la cabeza), lo que significa que la aplicación diseñada es adecuada; por lo tanto, esta investigación ayudó a obtener información sobre el rendimiento de CometLab en comparación con OpenComet, que sirve como punto de referencia para futuros trabajos en los que sería posible decidir qué algoritmo es mejor.
Idioma originalInglés estadounidense
DOI
EstadoPublicada - dic 21 2018
Evento14th International Symposium on Medical
Information Processing and Analysis
- Universidad Politécnica de Sinaloa, Mazatlan, México
Duración: oct 24 2018oct 26 2018
http://www.sipaim.org/home

Conferencia

Conferencia14th International Symposium on Medical
Information Processing and Analysis
Título abreviadoSIPAIM
PaísMéxico
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, México. 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, México.
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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 14th International Symposium on Medical
Information Processing and Analysis, Mazatlan, México, 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, México.

Resultado de la investigación: Contribución a una conferenciaArtículo

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, México. https://doi.org/10.1117/12.2511199, https://doi.org/10.1117/12.2511199