A 768Channel Cmos Microelectrode Array With Angle Sensitive Pixels For Neuronal Recording

• doi: 10.1109/JSEN.2013.2266894
• title: A 768-Channel CMOS Microelectrode Array With Angle Sensitive Pixels for Neuronal Recording
• publisher: IEEE
• isbn:
• issn: 2379-9153
• rank: 509
• access_type: LOCKED
• content_type: Journals
• abstract: This paper presents a CMOS sensor array with a 768 low-noise recording sites for neural recording with 2048 intercalated angle-sensitive pixels for optical read-out. The array is highly scalable because of electrode-level digitization with serial data stream-out. The front-end amplifiers use chopping to reduce flicker noise and achieve an input-referred noise of 4.1 $\mu{\rm V}_{rms}$ over a 3.6 kHz bandwidth while occupying an area of only 800 $\mu{\rm m}^{2}$. Digitization is performed using a distributed ramp ADC that samples every sensor site at 10 kHz. The electrodes have a 50 $\mu{\rm m}$ pitch and are plated with platinum to increase the interface capacitance and ensure biocompatibility. The sensor array is used to refocus a lenless image and to record neural spiking and local field potentials from a mouse olfactory bulb slice.
• article_number: 6527330
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6527330
• html_url: https://ieeexplore.ieee.org/document/6527330/
• abstract_url: https://ieeexplore.ieee.org/document/6527330/
• publication_title: IEEE Sensors Journal
• conference_location:
• conference_dates:
• publication_number: 7361
• is_number: 6572817
• publication_year: 2013
• publication_date: Sept. 2013
• start_page: 3211
• end_page: 3218
• citing_paper_count: 17
• citing_patent_count: 2
• download_count: 1075
• insert_date: 20130607
• index_terms:
  • ieee_terms:
    • Microelectrodes
    • Action potentials
    • Stimulated emission
    • Optical recording
    • Local field potentials
    • Platinum
    • Olfactory bulb
    • Optical sensors
    • Sensor arrays
    • Optical arrays
  • author_terms:
    • Action potential
    • angle-sensitive pixel (ASP)
    • CMOS sensors
    • local field potential
    • low-noise amplifiers
    • microelectrode array (MEA)
    • microelectrodes
    • neural interface
  • dynamic_index_terms:
    • Microelectrode Arrays
    • Multi-electrode Array
    • Angle-sensitive Pixels
    • Olfactory Bulb
    • Sensor Array
    • Input-referred Noise
    • Low-pass
    • Low-pass Filter
    • Electrical Stimulation
    • Power Spectrum
    • Electrical Activity
    • Large Capacity
    • Large Capacitance
    • Optical Sensors
    • Electroplating
    • Electrochemical Deposition
    • Metal Electrodes
    • Spiking Activity
    • Synchronous Activity
    • Synchronization Of Activity
    • Olfactory Sensory Neurons
    • Olfactory Neurons
    • Olfactory Receptor Neurons
    • Diffraction Grating
    • Diffraction Orders
    • Gamma Oscillations
    • Gamma Rhythms
    • Gamma Waves
    • Temporal Precision
    • Line Noise
    • Optical Stimulation
    • Electrode Electrolyte Interface
    • Local Field Potential Activity
    • Local Field Potential Recordings
    • Dominant Noise Source
    • Neural Signals
    • Action Potential
    • Incident Angle
    • Low-noise Amplifier
• authors:
  • Author Name: Ben Johnson
    Affiliation: School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/38237378200
    ID: 38237378200
    Order: 1
    Author Affiliations:
    • School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
  • Author Name: Shane T. Peace
    Affiliation: Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37072511200
    ID: 37072511200
    Order: 2
    Author Affiliations:
    • Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
  • Author Name: Albert Wang
    Affiliation: School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37713168100
    ID: 37713168100
    Order: 3
    Author Affiliations:
    • School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
  • Author Name: Thomas A. Cleland
    Affiliation: Department of Psychology, Cornell University, Ithaca, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37072426400
    ID: 37072426400
    Order: 4
    Author Affiliations:
    • Department of Psychology, Cornell University, Ithaca, NY, USA
  • Author Name: Alyosha Molnar
    Affiliation: School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37282515600
    ID: 37282515600
    Order: 5
    Author Affiliations:
    • School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA

Image Sensor

• sensor_type: CMOS
• resolution: 768 channels
• dynamic_range: dB not specified
• pixel_size: 50 µm
• dark_current: not specified

Optical Data

• focal_length: not applicable
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

• frame_rate: 10 kHz
• signal_to_noise_ratio: 6.5 dB
• power_consumption: 13.3 mW
• noise: 4.1 µV rms

Applications & Benefits

• cell_imaging: Neuronal recording and imaging in biological tissues and studies.
• benefits: High spatial resolution and simultaneous recordings from multiple sensors.

Supporting Organizations

• supported_by: MOSIS for Chip fabrication

Manuscript Details

• publication_date: Sept. 2013

Relevancy Score

• score: 8
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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