Calcium signals: Analysis in time and frequency domains

F. A. Ruffinatti; D. Lovisolo; C. Distasi; P. Ariano; J. Erriquez; M. Ferraro

doi:10.1016/j.jneumeth.2011.05.009

Calcium signals: Analysis in time and frequency domains

F. A. Ruffinatti, D. Lovisolo, C. Distasi, P. Ariano, J. Erriquez, M. Ferraro

Istituto Oncologico Candiolo

Research output: Contribution to journal › Article

Abstract

Cytosolic calcium signals play important roles in processes such as cell growth and motility, synaptic communication and formation of neural circuitry. These signals have complex time courses and their quantitative analysis is not easily accomplished; in particular it may be difficult to evidence subtle differences in their temporal patterns. In this paper, we use wavelet analysis to extract information on the structure of Ca2+c oscillations. To this aim we have derived a set of indices by which different Ca2+c oscillatory patterns and their change in time can be extracted and quantitatively evaluated. This approach has been validated with examples of experimental recordings showing changes in oscillatory behavior in cells stimulated with a calcium-releasing agonist.

Original language	English
Pages (from-to)	310-320
Number of pages	11
Journal	Journal of Neuroscience Methods
Volume	199
Issue number	2
DOIs	https://doi.org/10.1016/j.jneumeth.2011.05.009
Publication status	Published - Aug 15 2011

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Keywords

Calcium signals
Computational methods
Wavelet analysis

ASJC Scopus subject areas

Neuroscience(all)

Cite this

Ruffinatti, F. A., Lovisolo, D., Distasi, C., Ariano, P., Erriquez, J., & Ferraro, M. (2011). Calcium signals: Analysis in time and frequency domains. Journal of Neuroscience Methods, 199(2), 310-320. https://doi.org/10.1016/j.jneumeth.2011.05.009

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10.1016/j.jneumeth.2011.05.009