In-vivo imaging of neural activity with dynamic vision sensors

Optical recording of neural activity using calcium or voltage indicators requires cameras capable of detecting small temporal contrast in light intensity with sample rates of 10 Hz to 1 kHz. Large pixel scientific CMOS image sensors (sCMOS) are typically used due to their high resolution, high frame...

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Main Authors: Taverni, Gemma, Moeys, Diederik Paul, Voigt, Fabian Friedrich, Li, Chenghan, Cavaco, Celso, Motsnyi, Vasyl, Berry, Stewart, Sipila, Pia, Bello, David San Segundo, Helmchen, Fritjof, Delbruck, Tobi
Format: Conference Object
Language:English
Published: IEEE 2017
Subjects:
Online Access:https://www.zora.uzh.ch/id/eprint/168574/
https://www.zora.uzh.ch/id/eprint/168574/9/PAPER_Biocas2017.pdf
https://www.zora.uzh.ch/id/eprint/168574/1/08325076.pdf
https://doi.org/10.5167/uzh-168574
https://doi.org/10.1109/BIOCAS.2017.8325076
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spelling ftunivzuerich:oai:www.zora.uzh.ch:168574 2024-09-15T18:28:57+00:00 In-vivo imaging of neural activity with dynamic vision sensors Taverni, Gemma Moeys, Diederik Paul Voigt, Fabian Friedrich Li, Chenghan Cavaco, Celso Motsnyi, Vasyl Berry, Stewart Sipila, Pia Bello, David San Segundo Helmchen, Fritjof Delbruck, Tobi 2017-10-21 application/pdf https://www.zora.uzh.ch/id/eprint/168574/ https://www.zora.uzh.ch/id/eprint/168574/9/PAPER_Biocas2017.pdf https://www.zora.uzh.ch/id/eprint/168574/1/08325076.pdf https://doi.org/10.5167/uzh-168574 https://doi.org/10.1109/BIOCAS.2017.8325076 eng eng IEEE https://www.zora.uzh.ch/id/eprint/168574/9/PAPER_Biocas2017.pdf https://www.zora.uzh.ch/id/eprint/168574/1/08325076.pdf doi:10.5167/uzh-168574 doi:10.1109/BIOCAS.2017.8325076 info:eu-repo/semantics/openAccess Taverni, Gemma; Moeys, Diederik Paul; Voigt, Fabian Friedrich; Li, Chenghan; Cavaco, Celso; Motsnyi, Vasyl; Berry, Stewart; Sipila, Pia; Bello, David San Segundo; Helmchen, Fritjof; Delbruck, Tobi (2017). In-vivo imaging of neural activity with dynamic vision sensors. In: Biomedical Circuits and Systems Conference (BioCAS), 2017, Turin, 19 October 2017 - 21 October 2017, IEEE. Institute of Neuroinformatics 570 Life sciences biology Conference or Workshop Item NonPeerReviewed info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion info:eu-repo/semantics/publishedVersion 2017 ftunivzuerich https://doi.org/10.5167/uzh-16857410.1109/BIOCAS.2017.8325076 2024-08-28T00:37:25Z Optical recording of neural activity using calcium or voltage indicators requires cameras capable of detecting small temporal contrast in light intensity with sample rates of 10 Hz to 1 kHz. Large pixel scientific CMOS image sensors (sCMOS) are typically used due to their high resolution, high frame rate, and low noise. However, using such sensors for long-term recording is challenging due to their high data rates of up to 1 Gb/s. Here we studied the use of dynamic vision sensor (DVS) event cameras for neural recording. DVS have high dynamic range and a sparse asynchronous output consisting of brightness change events. Using DVS for neural recording could avoid transferring and storing redundant information. We compared the use of a Hamamatsu Orca V2 sCMOS with two advanced DVS sensors (a higher temporal contrast sensitivity 188×180 pixel SDAVIS and a 346×260 pixel higher light sensitivity back-side-illuminated BSIDAVIS) for neural activity recordings with fluorescent calcium indicators both in brain slices and awake mice. The DVS activity responds to the fast dynamics of neural activity, indicating that a sensor combining SDAVIS and BSIDAVIS technologies would be beneficial for long-term in-vivo neural recording using calcium indicators as well as potentially faster voltage indicators. Conference Object Orca University of Zurich (UZH): ZORA (Zurich Open Repository and Archive
institution Open Polar
collection University of Zurich (UZH): ZORA (Zurich Open Repository and Archive
op_collection_id ftunivzuerich
language English
topic Institute of Neuroinformatics
570 Life sciences
biology
spellingShingle Institute of Neuroinformatics
570 Life sciences
biology
Taverni, Gemma
Moeys, Diederik Paul
Voigt, Fabian Friedrich
Li, Chenghan
Cavaco, Celso
Motsnyi, Vasyl
Berry, Stewart
Sipila, Pia
Bello, David San Segundo
Helmchen, Fritjof
Delbruck, Tobi
In-vivo imaging of neural activity with dynamic vision sensors
topic_facet Institute of Neuroinformatics
570 Life sciences
biology
description Optical recording of neural activity using calcium or voltage indicators requires cameras capable of detecting small temporal contrast in light intensity with sample rates of 10 Hz to 1 kHz. Large pixel scientific CMOS image sensors (sCMOS) are typically used due to their high resolution, high frame rate, and low noise. However, using such sensors for long-term recording is challenging due to their high data rates of up to 1 Gb/s. Here we studied the use of dynamic vision sensor (DVS) event cameras for neural recording. DVS have high dynamic range and a sparse asynchronous output consisting of brightness change events. Using DVS for neural recording could avoid transferring and storing redundant information. We compared the use of a Hamamatsu Orca V2 sCMOS with two advanced DVS sensors (a higher temporal contrast sensitivity 188×180 pixel SDAVIS and a 346×260 pixel higher light sensitivity back-side-illuminated BSIDAVIS) for neural activity recordings with fluorescent calcium indicators both in brain slices and awake mice. The DVS activity responds to the fast dynamics of neural activity, indicating that a sensor combining SDAVIS and BSIDAVIS technologies would be beneficial for long-term in-vivo neural recording using calcium indicators as well as potentially faster voltage indicators.
format Conference Object
author Taverni, Gemma
Moeys, Diederik Paul
Voigt, Fabian Friedrich
Li, Chenghan
Cavaco, Celso
Motsnyi, Vasyl
Berry, Stewart
Sipila, Pia
Bello, David San Segundo
Helmchen, Fritjof
Delbruck, Tobi
author_facet Taverni, Gemma
Moeys, Diederik Paul
Voigt, Fabian Friedrich
Li, Chenghan
Cavaco, Celso
Motsnyi, Vasyl
Berry, Stewart
Sipila, Pia
Bello, David San Segundo
Helmchen, Fritjof
Delbruck, Tobi
author_sort Taverni, Gemma
title In-vivo imaging of neural activity with dynamic vision sensors
title_short In-vivo imaging of neural activity with dynamic vision sensors
title_full In-vivo imaging of neural activity with dynamic vision sensors
title_fullStr In-vivo imaging of neural activity with dynamic vision sensors
title_full_unstemmed In-vivo imaging of neural activity with dynamic vision sensors
title_sort in-vivo imaging of neural activity with dynamic vision sensors
publisher IEEE
publishDate 2017
url https://www.zora.uzh.ch/id/eprint/168574/
https://www.zora.uzh.ch/id/eprint/168574/9/PAPER_Biocas2017.pdf
https://www.zora.uzh.ch/id/eprint/168574/1/08325076.pdf
https://doi.org/10.5167/uzh-168574
https://doi.org/10.1109/BIOCAS.2017.8325076
genre Orca
genre_facet Orca
op_source Taverni, Gemma; Moeys, Diederik Paul; Voigt, Fabian Friedrich; Li, Chenghan; Cavaco, Celso; Motsnyi, Vasyl; Berry, Stewart; Sipila, Pia; Bello, David San Segundo; Helmchen, Fritjof; Delbruck, Tobi (2017). In-vivo imaging of neural activity with dynamic vision sensors. In: Biomedical Circuits and Systems Conference (BioCAS), 2017, Turin, 19 October 2017 - 21 October 2017, IEEE.
op_relation https://www.zora.uzh.ch/id/eprint/168574/9/PAPER_Biocas2017.pdf
https://www.zora.uzh.ch/id/eprint/168574/1/08325076.pdf
doi:10.5167/uzh-168574
doi:10.1109/BIOCAS.2017.8325076
op_rights info:eu-repo/semantics/openAccess
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