GDspike: An accurate spike estimation algorithm from noisy calcium fluorescence signals
Jilt Sebastian, Mari Ganesh Kumar M, Y. S. Sreekar, Rajeev Vijay Rikhye, Mriganka Sur, Hema A. Murthy
Abstract
Accurate estimation of spike train from calcium (Ca <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2+</sup> ) fluorescence signals is challenging owing to significant fluctuations of fluorescence level. This paper proposes a non-model-based approach for spike train inference using group delay (GD) analysis. It primarily exploits the property that change in Ca <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2+</sup> fluorescence corresponding to a spike has a notable onset location followed by a decaying transient. The proposed algorithm, GDspike, is compared with state-of-the-art systems on five datasets. F-measure is best for GDspike (41%) followed by STM (40%), MLspike (39%), and Vogelstein (35%). While existing methods are inspired by the physiology of neuronal responses, the proposed approach is inspired by GD-based high-resolution processing of the Ca <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2+</sup> fluorescence signal. GDspike is a fast and unsupervised algorithm. It is found to be unaffected when tested with five different GCaMP indicators and scanning rate varying from 15Hz to 60Hz.
BibTeX
@inproceedings{icassp2017_gdspikeanaccurat,
title = {GDspike: An accurate spike estimation algorithm from noisy calcium fluorescence signals},
author = {Jilt Sebastian and Mari Ganesh Kumar M and Y. S. Sreekar and Rajeev Vijay Rikhye and Mriganka Sur and Hema A. Murthy},
booktitle = {ICASSP 2017},
year = {2017}
}