Share Email Print
cover

Proceedings Paper • new

Flexible automatic algorithm for comet assay analysis
Author(s): Álvaro J. Bocanegra Pérez; Daya Serrano Delgado; Sergio D. Pulido Castro; Alejandro O. Ondo Méndez; Francisco J. Londoño Hoyos; Juan M. López López
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 21 December 2018
PDF: 14 pages
Proc. SPIE 10975, 14th International Symposium on Medical Information Processing and Analysis, 109750D (21 December 2018); doi: 10.1117/12.2511199
Show Author Affiliations
Álvaro J. Bocanegra Pérez, Escuela Colombiana de Ingeniería Julio Garavito (Colombia)
Univ. del Rosario (Colombia)
Daya Serrano Delgado, Escuela Colombiana de Ingeniería Julio Garavito (Colombia)
Univ. del Rosario (Colombia)
Sergio D. Pulido Castro, Escuela Colombiana de Ingeniería Julio Garavito (Colombia)
Univ. del Rosario (Colombia)
Alejandro O. Ondo Méndez, Univ. del Rosario (Colombia)
Francisco J. Londoño Hoyos, Escuela Colombiana de Ingeniería Julio Garavito (Colombia)
Juan M. López López, Escuela Colombiana de Ingeniería Julio Garavito (Colombia)


Published in SPIE Proceedings Vol. 10975:
14th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva, Editor(s)

© SPIE. Terms of Use
Back to Top