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GDspike: An accurate spike estimation algorithm from noisy calcium fluorescence signals
, Jilt Sebastian, Mari Ganesh Kumar, Y. S. Sreekar, Rajeev Vijay Rikhye, Mriganka Sur
Published in Institute of Electrical and Electronics Engineers Inc.
Pages: 1043 - 1047
Accurate estimation of spike train from calcium (Ca2+) 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 Ca2+ 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 Ca2+ 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. © 2017 IEEE.
About the journal
JournalData powered by TypesetICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
Open AccessNo