Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo

Two-photon laser scanning microscopy allows functional calcium imaging of large neuronal populations in vivo, but the recorded signals typically suffer from low signal to noise. Here the authors develop an algorithm, MLspike, which estimates action potentials from noisy calcium signals, and benchmar...

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Autores principales: Thomas Deneux, Attila Kaszas, Gergely Szalay, Gergely Katona, Tamás Lakner, Amiram Grinvald, Balázs Rózsa, Ivo Vanzetta
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Lenguaje:EN
Publicado: Nature Portfolio 2016
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Acceso en línea:https://doaj.org/article/9eecec08b1ec4791afc90ed8fb9014c7
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spelling oai:doaj.org-article:9eecec08b1ec4791afc90ed8fb9014c72021-12-02T17:33:08ZAccurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo10.1038/ncomms121902041-1723https://doaj.org/article/9eecec08b1ec4791afc90ed8fb9014c72016-07-01T00:00:00Zhttps://doi.org/10.1038/ncomms12190https://doaj.org/toc/2041-1723Two-photon laser scanning microscopy allows functional calcium imaging of large neuronal populations in vivo, but the recorded signals typically suffer from low signal to noise. Here the authors develop an algorithm, MLspike, which estimates action potentials from noisy calcium signals, and benchmark it against existing methods.Thomas DeneuxAttila KaszasGergely SzalayGergely KatonaTamás LaknerAmiram GrinvaldBalázs RózsaIvo VanzettaNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-17 (2016)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Thomas Deneux
Attila Kaszas
Gergely Szalay
Gergely Katona
Tamás Lakner
Amiram Grinvald
Balázs Rózsa
Ivo Vanzetta
Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo
description Two-photon laser scanning microscopy allows functional calcium imaging of large neuronal populations in vivo, but the recorded signals typically suffer from low signal to noise. Here the authors develop an algorithm, MLspike, which estimates action potentials from noisy calcium signals, and benchmark it against existing methods.
format article
author Thomas Deneux
Attila Kaszas
Gergely Szalay
Gergely Katona
Tamás Lakner
Amiram Grinvald
Balázs Rózsa
Ivo Vanzetta
author_facet Thomas Deneux
Attila Kaszas
Gergely Szalay
Gergely Katona
Tamás Lakner
Amiram Grinvald
Balázs Rózsa
Ivo Vanzetta
author_sort Thomas Deneux
title Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo
title_short Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo
title_full Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo
title_fullStr Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo
title_full_unstemmed Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo
title_sort accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo
publisher Nature Portfolio
publishDate 2016
url https://doaj.org/article/9eecec08b1ec4791afc90ed8fb9014c7
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AT balazsrozsa accuratespikeestimationfromnoisycalciumsignalsforultrafastthreedimensionalimagingoflargeneuronalpopulationsinvivo
AT ivovanzetta accuratespikeestimationfromnoisycalciumsignalsforultrafastthreedimensionalimagingoflargeneuronalpopulationsinvivo
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