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Automatic analysis of experimental data in cardiac physiology

Total activity: 2
Type of activity
Competitive project
Funding entity
Funding entity code
68.970,00 €
Start date
End date
análisis de datos experimentales, automatic data processing, biomedical image processing, calcium handling, cardiac muscle contraction, cardiac physiology, contracción cardíaca, dinámica cardíaca, microscopía de fluorescencia, pattern recognition, procesado de imágenes, reconocimiento de patrones, regulación de calcio
Recent advances in the diagnosis and treatment of heart disease is largely due to results obtained in studies of cardiac physiology at the cellular and
molecular levels. These studies allow identifying the mechanisms associated with different cardiac pathologies, typically related to an abnormal behavior
in cell regulatory mechanisms. In particular, aspects such as the dynamics of ion channels or calcium handling play a critical role in the occurrence of
phenomena such as arrhythmias, tachycardia or fibrillation.
Within this context, fluorescence microscopy techniques constitute a major breakthrough in the field of cardiac physiology, since they provide a
quantitative characterization of aspects such as the location and spatial distribution of molecular receptors, the regulation of intracellular calcium, the
spread of activation fronts or the mechanical cardiac contractility. Microscopy imaging techniques are often combined with electrophysiology methods in
order to study the above issues while applying electrical stimuli and recording ionic currents in cardiac cells. Studies also can be conducted in cells
presenting certain genetic mutations or that have received a specific drug treatment.
The main drawback of these experimental studies is that they generate large amount of data in the form of image sequences or time signals. A manual
analysis of such data requires large amounts of skilled human resources and is often affected by aspects such as subjectivity, fatigue or the variability
among experts.
The main objective of this project is to design, validate and implement a set of techniques that allow automatic, robust and reliable processing of
experimental data from cardiac physiology studies. In particular, this project will address the following specific issues: i) Location, distribution and
dimensions of ryanodine receptors in 2D and 3D confocal microscopy images ii) Co-localization of calcium release events and ryanodine receptors iii)
Characterization of electromechanical coupling and measures of cell contractility iv) Characterization of cardiac alternance phenomena v) Co-occurrence
spatiotemporal calcium release events on spiral waves and cell cultures.
To achieve the objectives, we will combine signal and image processing, time series analysis and pattern recognition methods. The design of different
data-processing systems will take place through direct and constant collaboration with international experimental groups. The results will be validated by
using different statistical techniques.
The results will constitute a set of techniques that will complement those previously developed by our group. The impact of the project will be valued in
terms of the results obtained by means of the application of the methods by different research groups.
Adm. Estat
Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Call year
Funcding program
Programa Estatal de I+D+i Orientada a los Retos de la Sociedad
Funding call
Retos de Investigación: Proyectos de I+D+i
Grant institution
Gobierno De España. Ministerio De Economía Y Competitividad, Mineco


Scientific and technological production

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