Invivo Imaging Of Neural Activity With Dynamic Vision Sensors

• doi: 10.1109/BIOCAS.2017.8325076
• title: In-vivo imaging of neural activity with dynamic vision sensors
• publisher: IEEE
• isbn: 978-1-5090-5804-4
• issn:
• rank: 2771
• access_type: LOCKED
• content_type: Conferences
• abstract: 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.
• article_number: 8325076
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8325076
• html_url: https://ieeexplore.ieee.org/document/8325076/
• abstract_url: https://ieeexplore.ieee.org/document/8325076/
• publication_title: 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)
• conference_location: Turin, Italy
• conference_dates: 19-21 Oct. 2017
• publication_number: 8303622
• is_number: 8325043
• publication_year: 2017
• publication_date: 19-21 Oct. 2017
• start_page: 1
• end_page: 4
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 608
• insert_date: 20180329
• index_terms:
  • ieee_terms:
    • Voltage control
    • Sensors
    • Imaging
    • Fluorescence
    • Calcium
    • Neurons
    • Neural activity
  • author_terms:
    • Neural imaging
    • high-speed imaging
    • fluorescence microscopy
    • calcium imaging
    • dynamic vision sensor (DVS)
    • dynamic and active pixel vision sensor (DAVIS)
    • event-based
    • spike-based
    • neuromorphic engineering
    • silicon retina
  • dynamic_index_terms:
    • Neural Activity
    • Preclinical Imaging
    • Small Animal Imaging
    • In-vivo Imaging
    • Vision Sensors
    • Dynamic Vision Sensor
    • Event Camera
    • High-resolution
    • Dynamic Range
    • Brain Slices
    • Slice Preparation
    • Fast Kinetics
    • Fast Dynamics
    • Calcium Imaging
    • Calcium Indicator
    • Fluorescent Indicator
    • High Dynamic Range
    • High Frame Rate
    • Neural Recordings
    • Long-term Recordings
    • Brightness Changes
    • Awake Mice
    • Awake Mouse
    • Record Neural Activity
    • Temporal Contrast
    • Fluorescent Calcium Indicator
    • Action Potential
    • sCMOS Camera
    • Neuronal Dynamics
    • Dark Signal
    • Change In Fluorescence Signal
    • Neural Image
    • Quantum Efficiency
    • Spiking Neural Networks
    • Spiking Neurons
    • Wide-field Imaging
    • Dynamic Sensor
    • Active Sensors
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-5804-4, isbnType: New-2005
  • format: USB ISBN, value: 978-1-5090-5802-0, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5090-5803-7, isbnType: New-2005
• authors:
  • Author Name: Gemma Taverni
    Affiliation: Institute of Neuroinformatics, ETH Zurich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37086320336
    ID: 37086320336
    Order: 1
    Author Affiliations:
    • Institute of Neuroinformatics, ETH Zurich, Switzerland
  • Author Name: Diederik Paul Moeys
    Affiliation: Institute of Neuroinformatics, ETH Zurich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37085532498
    ID: 37085532498
    Order: 2
    Author Affiliations:
    • Institute of Neuroinformatics, ETH Zurich, Switzerland
  • Author Name: Fabian Friedrich Voigt
    Affiliation: Brain Research Institute, University of Zurich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37086211927
    ID: 37086211927
    Order: 3
    Author Affiliations:
    • Brain Research Institute, University of Zurich, Switzerland
  • Author Name: Chenghan Li
    Affiliation: iniLabs GmbH, Zurich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/38469101900
    ID: 38469101900
    Order: 4
    Author Affiliations:
    • iniLabs GmbH, Zurich, Switzerland
  • Author Name: Celso Cavaco
    Affiliation: IMEC research institute, Leuven, Belgium
    Author URL: https://ieeexplore.ieee.org/author/37086360704
    ID: 37086360704
    Order: 5
    Author Affiliations:
    • IMEC research institute, Leuven, Belgium
  • Author Name: Vasyl Motsnyi
    Affiliation: IMEC research institute, Leuven, Belgium
    Author URL: https://ieeexplore.ieee.org/author/37086197791
    ID: 37086197791
    Order: 6
    Author Affiliations:
    • IMEC research institute, Leuven, Belgium
  • Author Name: Stewart Berry
    Affiliation: Brain Research Institute, University of Zurich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37086315876
    ID: 37086315876
    Order: 7
    Author Affiliations:
    • Brain Research Institute, University of Zurich, Switzerland
  • Author Name: Pia Sipilä
    Affiliation: Brain Research Institute, University of Zurich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37088744997
    ID: 37088744997
    Order: 8
    Author Affiliations:
    • Brain Research Institute, University of Zurich, Switzerland
  • Author Name: David San Segundo Bello
    Affiliation: IMEC research institute, Leuven, Belgium
    Author URL: https://ieeexplore.ieee.org/author/38259637200
    ID: 38259637200
    Order: 9
    Author Affiliations:
    • IMEC research institute, Leuven, Belgium
  • Author Name: Fritjof Helmchen
    Affiliation: Brain Research Institute, University of Zurich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37086227512
    ID: 37086227512
    Order: 10
    Author Affiliations:
    • Brain Research Institute, University of Zurich, Switzerland
  • Author Name: Tobi Delbruck
    Affiliation: Institute of Neuroinformatics, ETH Zurich, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37269976700
    ID: 37269976700
    Order: 11
    Author Affiliations:
    • Institute of Neuroinformatics, ETH Zurich, Switzerland

Image Sensor

• sensor_type: CMOS
• resolution: 188x180 (SDAVIS), 346x260 (BSIDAVIS)
• dynamic_range: >100 dB (both SDAVIS and BSIDAVIS)
• pixel_size: 18.5x18.5 µm (SDAVIS and BSIDAVIS)
• dark_current: 16k e-/s (SDAVIS), 18k e-/s (BSIDAVIS)

Optical Data

• focal_length: 40 mm (using 40x NA0.8 objective)
• aperture: NA0.8
• field_of_view: 0.5 to 10 mm in wide-field imaging
• distortion: Not mentioned

Performance Metrics

• frame_rate: 10 Hz to 1 kHz
• power_consumption: 70 W (sCMOS), 3 W (SDAVIS and BSIDAVIS)
• noise: Readout noise: 1.4 e- RMS (sCMOS), 61 e- (SDAVIS), 54.7 e- (BSIDAVIS)

Applications & Benefits

• cell_imaging: Used for neural activity recordings with fluorescent calcium indicators
• benefits: Higher dynamic range and lower data rates due to event-based output, capable of long-term recordings in living subjects.

Supporting Organizations

• supported_by: European Commission projects SWITCHBOARD, VISUALISE, SEEBETTER, and Samsung.

Manuscript Details

• publication_date: 19-21 Oct. 2017

Relevancy Score

• score: 10

Processed JSON Filename

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