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Computational and Mathematical Methods in Medicine
Volume 2014 (2014), Article ID 484656, 10 pages
Research Article

Detection and Measurement of the Intracellular Calcium Variation in Follicular Cells

1Facultad de Informática, Universidad Autónoma de Querétaro, Campus Juriquilla, Avenida de las Ciencias s/n, 76230 Querétaro, QRO, Mexico
2Centro de Investigación y Desarrollo Tecnológico en Electroquímica S.C., Pedro Escobedo, 76703 Querétaro, QRO, Mexico
3Centro de Investigación e Ingeniería Industrial. Avenida Playa Pie de la Cuesta No. 702, Desarrollo San Pablo, 76703 Querétaro, QRO, Mexico
4Departamento de Ciencias Computacionales, Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro No. 1, CP 72840, Tonantzintla, PUE, Mexico
5Centro de Investigación y Tecnología Aplicada, Cerro Blanco No. 141, Colonia Colinas del Cimatario, 76090 Querétaro, QRO, Mexico

Received 13 June 2014; Revised 21 August 2014; Accepted 22 August 2014; Published 16 September 2014

Academic Editor: Ezequiel López-Rubio

Copyright © 2014 Ana M. Herrera-Navarro et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This work presents a new method for measuring the variation of intracellular calcium in follicular cells. The proposal consists in two stages: (i) the detection of the cell’s nuclei and (ii) the analysis of the fluorescence variations. The first stage is performed via watershed modified transformation, where the process of labeling is controlled. The detection process uses the contours of the cells as descriptors, where they are enhanced with a morphological filter that homogenizes the luminance variation of the image. In the second stage, the fluorescence variations are modeled as an exponential decreasing function, where the fluorescence variations are highly correlated with the changes of intracellular free Ca2+. Additionally, it is introduced a new morphological called medium reconstruction process, which helps to enhance the data for the modeling process. This filter exploits the undermodeling and overmodeling properties of reconstruction operators, such that it preserves the structure of the original signal. Finally, an experimental process shows evidence of the capabilities of the proposal.