2013
DOI: 10.1371/journal.pone.0075986
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Spatial Wavelet Analysis of Calcium Oscillations in Developing Neurons

Abstract: Calcium signals play a major role in the control of all key stages of neuronal development, and in particular in the growth and orientation of neuritic processes. These signals are characterized by high spatial compartmentalization, a property which has a strong relevance in the different roles of specific neuronal regions in information coding. In this context it is therefore important to understand the structural and functional basis of this spatial compartmentalization, and in particular whether the behavio… Show more

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Cited by 11 publications
(9 citation statements)
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“…In addition, we provide methods for extracting average positive pulse rise time, fall time, and slew rate from normalized fluorescence traces of individual regions of interest. These parameters define the shape of calcium transient waves, and therefore, when used in conjunction with the other measures, will be useful for segregating distinct neuronal populations based on underlying factors such as surface to volume ratio and calcium buffering capacity, which contribute to the waveform of calcium transients 41 .…”
Section: Discussionmentioning
confidence: 99%
“…In addition, we provide methods for extracting average positive pulse rise time, fall time, and slew rate from normalized fluorescence traces of individual regions of interest. These parameters define the shape of calcium transient waves, and therefore, when used in conjunction with the other measures, will be useful for segregating distinct neuronal populations based on underlying factors such as surface to volume ratio and calcium buffering capacity, which contribute to the waveform of calcium transients 41 .…”
Section: Discussionmentioning
confidence: 99%
“…Spectral frequency analysis has been shown to be a reliable tool for estimating calcium fluorescence events as it is less influenced by drifts in baseline activity (Deneux et al, 2016; Patel et al, 2015; Ruffinatti et al, 2013). Within our data we noticed that the onsets of Ca events could be detected using Fourier analysis where event onset coincided with increasing low frequency power (power event ).…”
Section: Methods Detailsmentioning
confidence: 99%
“…Cell morphometry can be defined as the quantitative description of cells’ shape, which may not be separated from the inference of important information about their functional state. This shape–function paradigm aims to correlate cell morphology to biological processes such as proliferation, differentiation, migration, growth dynamics, adhesion to particular substrates or transition from physiology to pathology (Lepekhin, Walmod, Berezin, Berezin, & Bock, 2001; Lyons et al, 2016; Ruffinatti, Gilardino, Lovisolo, & Ferraro, 2013; Yang, Tian, & Xue, 2015). Although many shape descriptors have been proposed over the years, no general rules about their usage currently exist since their suitability depends on the particular experimental aim (Chen, Zhao, Wu, Yao, & Zhang, 2012; Lobo, See, Biggs, & Pandit, 2016).…”
Section: Introductionmentioning
confidence: 99%