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Quantitative Analysis of Calcium Spikes in Noisy Fluorescent Background

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  • Radoslav Janicek
  • Matej Hotka
  • Alexandra Zahradníková Jr
  • Alexandra Zahradníková
  • Ivan Zahradník

Abstract

Intracellular calcium signals are studied by laser-scanning confocal fluorescence microscopy. The required spatio-temporal resolution makes description of calcium signals difficult because of the low signal-to-noise ratio. We designed a new procedure of calcium spike analysis based on their fitting with a model. The accuracy and precision of calcium spike description were tested on synthetic datasets generated either with randomly varied spike parameters and Gaussian noise of constant amplitude, or with constant spike parameters and Gaussian noise of various amplitudes. Statistical analysis was used to evaluate the performance of spike fitting algorithms. The procedure was optimized for reliable estimation of calcium spike parameters and for dismissal of false events. A new algorithm was introduced that corrects the acquisition time of pixels in line-scan images that is in error due to sequential acquisition of individual pixels along the space coordinate. New software was developed in Matlab and provided for general use. It allows interactive dissection of temporal profiles of calcium spikes from x-t images, their fitting with predefined function(s) and acceptance of results on statistical grounds, thus allowing efficient analysis and reliable description of calcium signaling in cardiac myocytes down to the in situ function of ryanodine receptors.

Suggested Citation

  • Radoslav Janicek & Matej Hotka & Alexandra Zahradníková Jr & Alexandra Zahradníková & Ivan Zahradník, 2013. "Quantitative Analysis of Calcium Spikes in Noisy Fluorescent Background," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-11, May.
  • Handle: RePEc:plo:pone00:0064394
    DOI: 10.1371/journal.pone.0064394
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    Cited by:

    1. Juan Prada & Manju Sasi & Corinna Martin & Sibylle Jablonka & Thomas Dandekar & Robert Blum, 2018. "An open source tool for automatic spatiotemporal assessment of calcium transients and local ‘signal-close-to-noise’ activity in calcium imaging data," PLOS Computational Biology, Public Library of Science, vol. 14(3), pages 1-34, March.

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