Oscillatory signatures underlie growth regimes in Arabidopsis pollen tubes: computational methods to estimate tip location, periodicity, and synchronization in growing cells

@inproceedings{Damineli2017OscillatorySU,
  title={Oscillatory signatures underlie growth regimes in Arabidopsis pollen tubes: computational methods to estimate tip location, periodicity, and synchronization in growing cells},
  author={Daniel Santa Cruz Damineli and Maria Teresa Portes and Jos{\'e} A Feij{\'o}},
  booktitle={Journal of experimental botany},
  year={2017}
}
Oscillations in pollen tubes have been reported for many cellular processes, including growth, extracellular ion fluxes, and cytosolic ion concentrations. However, there is a shortage of quantitative methods to measure and characterize the different dynamic regimes observed. Herein, a suite of open-source computational methods and original algorithms were integrated into an automated analysis pipeline that we employed to characterize specific oscillatory signatures in pollen tubes of… CONTINUE READING
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Data from: Oscillatory signatures underlie growth regimes in Arabidopsis pollen tubes: computational methods to estimate tip location, periodicity and synchronization in growing cells

DSC Damineli, MT Portes, JA. Feijó
  • Dryad Digital Repository doi:10.5061/ dryad.6806c
  • 2017
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HIGHLY INFLUENTIAL

Wavelets: a package of functions for computing wavelet filters wavelet transforms and multiresolution analyses

E. Aldrich
  • R package version
  • 2013
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