TY - JOUR
T1 - Calcium signals
T2 - Analysis in time and frequency domains
AU - Ruffinatti, F. A.
AU - Lovisolo, D.
AU - Distasi, C.
AU - Ariano, P.
AU - Erriquez, J.
AU - Ferraro, M.
PY - 2011/8/15
Y1 - 2011/8/15
N2 - 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.
AB - 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.
KW - Calcium signals
KW - Computational methods
KW - Wavelet analysis
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U2 - 10.1016/j.jneumeth.2011.05.009
DO - 10.1016/j.jneumeth.2011.05.009
M3 - Article
C2 - 21658413
AN - SCOPUS:79960225357
VL - 199
SP - 310
EP - 320
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
SN - 0165-0270
IS - 2
ER -