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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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 |
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University of Zurich (UZH): ZORA (Zurich Open Repository and Archive |
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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 |
op_doi |
https://doi.org/10.5167/uzh-16857410.1109/BIOCAS.2017.8325076 |
_version_ |
1810470378491871232 |