A Cmos 22Kpixel Singlecell Resolution Multimodality Realtime Cellular Sensing Array

• doi: 10.1109/CICC.2017.7993710
• title: A CMOS 22k-pixel single-cell resolution multi-modality real-time cellular sensing array
• publisher: IEEE
• isbn: 978-1-5090-5192-2
• issn: 2152-3630
• rank: 528
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents a single-cell-resolution multimodality cellular interfacing array for holistic cell characterization and high-throughput drug screening. It contains 22,528 multimodality sensing pixels with a pixel size of 17μm×17μm. Each pixel contains a 4μm×4μm gold-plated electrode for extracellular potential recording and a 3μm×6μm photodiode for optical detection. To compensate for the degraded signal to noise ratio (SNR) due to the large electrode-electrolyte impedance at the cell-sensor interface, we employ a DC-coupled chopper amplifier when performing extracellular potential recording. A proof-of-concept design is implemented in a standard 130nm CMOS process. It achieves a measured input-referred noise of 2.46μVrms integrated from 1Hz to 4kHz with a chopping frequency of 20kHz, and cell-based measurement results demonstrate real-time recorded action potentials with high SNR. Measured high-resolution optical shadow images provide the detailed cell and tissue morphology as well as the 2D distribution of on-chip cultured cells. Furthermore, this paper presents the first CMOS sensing array to successfully capture on-chip rat cardiomyocyte contraction using multiple sensing modalities, specifically optical detection and potential recording.
• article_number: 7993710
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7993710
• html_url: https://ieeexplore.ieee.org/document/7993710/
• abstract_url: https://ieeexplore.ieee.org/document/7993710/
• publication_title: 2017 IEEE Custom Integrated Circuits Conference (CICC)
• conference_location: Austin, TX, USA
• conference_dates: 30 April-3 May 2017
• publication_number: 7986634
• is_number: 7993450
• publication_year: 2017
• publication_date: 30 April-3 May 2017
• start_page: 1
• end_page: 4
• citing_paper_count: 9
• citing_patent_count: 0
• download_count: 618
• insert_date: 20170727
• index_terms:
  • ieee_terms:
    • Optical variables measurement
    • Electric potential
    • Frequency measurement
    • Photodiodes
    • Optical sensors
    • Semiconductor device measurement
  • author_terms:
    • CMOS
    • cell-based assay
    • contractility
    • cardiomyocytes
    • drug screening
    • multi-modality
    • photodiode
  • dynamic_index_terms:
    • Sensor Array
    • Single-cell Arrays
    • Cell Culture
    • Co-culture
    • Action Potential
    • Cell Morphology
    • High-throughput Screening
    • Drug Screening
    • Drug Testing
    • Photodiode
    • Optical Detection
    • Rat Cardiomyocytes
    • Potential Recordings
    • Optical Recording
    • Cardiomyocyte Contraction
    • Standard CMOS
    • Input-referred Noise
    • Light Intensity
    • Cell Clusters
    • Cell-based Assays
    • Parasitic Capacitance
    • Input Stage
    • Flicker Noise
    • Electrode Electrolyte Interface
    • High Input Impedance
    • Multimodal Sensor
    • Large DC
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-5192-2, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5090-5191-5, isbnType: New-2005
• authors:
  • Author Name: Jongseok Park
    Affiliation: Georgia Institute of Technology, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37076021200
    ID: 37076021200
    Order: 1
    Author Affiliations:
    • Georgia Institute of Technology, Atlanta, GA, USA
  • Author Name: Moez Karim Aziz
    Affiliation: Georgia Institute of Technology, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37086119239
    ID: 37086119239
    Order: 2
    Author Affiliations:
    • Georgia Institute of Technology, Atlanta, GA, USA
  • Author Name: Sandra Gonzalez
    Affiliation: Emory University, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37086171100
    ID: 37086171100
    Order: 3
    Author Affiliations:
    • Emory University, Atlanta, GA, USA
  • Author Name: Doohwan Jung
    Affiliation: Georgia Institute of Technology, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37086171376
    ID: 37086171376
    Order: 4
    Author Affiliations:
    • Georgia Institute of Technology, Atlanta, GA, USA
  • Author Name: Taiyun Chi
    Affiliation: Georgia Institute of Technology, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37085386492
    ID: 37085386492
    Order: 5
    Author Affiliations:
    • Georgia Institute of Technology, Atlanta, GA, USA
  • Author Name: Sensen Li
    Affiliation: Georgia Institute of Technology, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37085668842
    ID: 37085668842
    Order: 6
    Author Affiliations:
    • Georgia Institute of Technology, Atlanta, GA, USA
  • Author Name: Hee Cheol Cho
    Affiliation: Emory University, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37085828404
    ID: 37085828404
    Order: 7
    Author Affiliations:
    • Emory University, Atlanta, GA, USA
  • Author Name: Hua Wang
    Affiliation: Georgia Institute of Technology, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37538488700
    ID: 37538488700
    Order: 8
    Author Affiliations:
    • Georgia Institute of Technology, Atlanta, GA, USA

Image Sensor

• sensor_type: CMOS
• resolution: 22,528 pixels (17µm x 17µm per pixel)
• dynamic_range: Not specified
• pixel_size: 17µm x 17µm
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• signal_to_noise_ratio: 2.46µV rms
• noise: 2.46µV rms (input-referred noise)

Applications & Benefits

• cell_imaging: The CMOS sensor array demonstrates capabilities for real-time cellular imaging and assay responses.
• benefits: Enables holistic cell characterization and high-throughput drug screening.

Supporting Organizations

• supported_by: National Science Foundation (Grant No. DGE-1650044)

Manuscript Details

• publication_date: 30 April-3 May 2017

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • design considerations (microlenses, color filters, shutters, back illumination)

Processed JSON Filename

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