RT Journal Article
SR Electronic
T1 Spike Detection Using FRI Methods and Protein Calcium Sensors: Performance Analysis and Comparisons
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 029124
DO 10.1101/029124
A1 Stephanie Reynolds
A1 Jon Oñativia
A1 Caroline S Copeland
A1 Simon R Schultz
A1 Pier Luigi Dragotti
YR 2015
UL http://biorxiv.org/content/early/2015/10/14/029124.abstract
AB Fast and accurate detection of action potentials from neurophysiological data is key to the study of information processing in the nervous system. Previous work has shown that finite rate of innovation (FRI) theory can be used to successfully reconstruct spike trains from noisy calcium imaging data. This is due to the fact that calcium imaging data can be modeled as streams of decaying exponentials which are a subclass of FRI signals. Recent progress in the development of genetically encoded calcium indicators (GECIs) has produced protein calcium sensors that exceed the sensitivity of the synthetic dyes traditionally used in calcium imaging experiments. In this paper, we compare the suitability for spike detection of the kinetics of a new family of GECIs (the GCaMP6 family) with the synthetic dye Oregon Green BAPTA-1. We demonstrate the high performance of the FRI algorithm on surrogate data for each calcium indicator and we calculate the Cramér-Rao lower bound on the uncertainty of the position of a detected spike in calcium imaging data for each calcium indicator.