Calcium signals: Analysis in time and frequency domains

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

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Pages (from-to)310-320
Number of pages11
JournalJournal of Neuroscience Methods
Issue number2
Publication statusPublished - Aug 15 2011


  • Calcium signals
  • Computational methods
  • Wavelet analysis

ASJC Scopus subject areas

  • Neuroscience(all)


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