1024Pixel Cmos Multimodality Joint Cellular Sensorstimulator Array For Realtime Holistic Cellular Characterization And Cellbased Drug Screening

• doi: 10.1109/TBCAS.2017.2759220
• title: 1024-Pixel CMOS Multimodality Joint Cellular Sensor/Stimulator Array for Real-Time Holistic Cellular Characterization and Cell-Based Drug Screening
• publisher: IEEE
• isbn:
• issn: 1940-9990
• rank: 16
• access_type: LOCKED
• content_type: Journals
• abstract: This paper presents a fully integrated CMOS multimodality joint sensor/stimulator array with 1024 pixels for real-time holistic cellular characterization and drug screening. The proposed system consists of four pixel groups and four parallel signal-conditioning blocks. Every pixel group contains 16 × 16 pixels, and each pixel includes one $\text{28}\,\mu \text{m}\times \text{28}\,\mu \text{m}$ gold-plated electrode, four $\text{12}\,\mu \text{m}\times \text{12}\,\mu \text{m}$ photodiodes, and in-pixel circuits, within a $\text{58}\,\mu \text{m}\times \text{58}\,\mu \text{m}$ pixel footprint. Each pixel supports real-time extracellular potential recording, optical detection, charge-balanced biphasic current stimulation, and cellular impedance measurement for the same cellular sample. The proposed system is fabricated in a standard 130-nm CMOS process. Rat cardiomyocytes are successfully cultured on-chip. Measured high-resolution optical opacity images, extracellular potential recordings, biphasic current stimulations, and cellular impedance images demonstrate the unique advantages of the system for holistic cell characterization and drug screening. Furthermore, this paper demonstrates the use of optical detection on the on-chip cultured cardiomyocytes to real-time track their cyclic beating pattern and beating rate.
• article_number: 8097421
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8097421
• html_url: https://ieeexplore.ieee.org/document/8097421/
• abstract_url: https://ieeexplore.ieee.org/document/8097421/
• publication_title: IEEE Transactions on Biomedical Circuits and Systems
• conference_location:
• conference_dates:
• publication_number: 4156126
• is_number: 8269836
• publication_year: 2018
• publication_date: Feb. 2018
• start_page: 80
• end_page: 94
• citing_paper_count: 45
• citing_patent_count: 0
• download_count: 2384
• insert_date: 20171107
• index_terms:
  • ieee_terms:
    • Optical sensors
    • Drugs
    • Biomedical optical imaging
    • Optical recording
    • Extracellular
    • Impedance
  • author_terms:
    • Biosensor
    • cardiomyocytes
    • cell-based assay
    • drug screening
    • extracellular potential recording
    • impedance measurement
    • optical detection
    • stimulation
  • dynamic_index_terms:
    • Drug Screening
    • High-content Screening
    • Real-time Characterization
    • Cell-based Drug Screening
    • High-resolution
    • Optical Tomography
    • Current Stimulation
    • Optical Detection
    • Rat Cardiomyocytes
    • Potential Recordings
    • CMOS Process
    • Beating Rate
    • Standard CMOS
    • Biphasic Stimulation
    • Low-pass
    • Pulse Width
    • Drug Toxicity
    • Cell-based Assays
    • Cardiac Contractility
    • Printed Circuit Board
    • Input-referred Noise
    • Neonatal Rat Ventricular Myocytes
    • Action Potentials Spikes
    • Transimpedance Amplifier
    • Tail Current
    • Complex Impedance
    • Excitation Voltage
    • Anodic Current
    • Current Sensor
    • Total Voltage
• authors:
  • Author Name: Jong Seok Park
    Affiliation: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37076021200
    ID: 37076021200
    Order: 1
    Author Affiliations:
    • School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
  • Author Name: Moez Karim Aziz
    Affiliation: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37086119239
    ID: 37086119239
    Order: 2
    Author Affiliations:
    • School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
  • Author Name: Sensen Li
    Affiliation: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37085668842
    ID: 37085668842
    Order: 3
    Author Affiliations:
    • School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
  • Author Name: Taiyun Chi
    Affiliation: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37085386492
    ID: 37085386492
    Order: 4
    Author Affiliations:
    • School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
  • Author Name: Sandra Ivonne Grijalva
    Affiliation: Department of Biomedical Engineering, Emory University, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37086320854
    ID: 37086320854
    Order: 5
    Author Affiliations:
    • Department of Biomedical Engineering, Emory University, Atlanta, GA, USA
  • Author Name: Jung Hoon Sung
    Affiliation: CHA Bundang Medical Center, CHA University, Seoul, South Korea
    Author URL: https://ieeexplore.ieee.org/author/37085828838
    ID: 37085828838
    Order: 6
    Author Affiliations:
    • CHA Bundang Medical Center, CHA University, Seoul, South Korea
  • Author Name: Hee Cheol Cho
    Affiliation: Department of Biomedical Engineering, Emory University, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37085828404
    ID: 37085828404
    Order: 7
    Author Affiliations:
    • Department of Biomedical Engineering, Emory University, Atlanta, GA, USA
  • Author Name: Hua Wang
    Affiliation: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
    Author URL: https://ieeexplore.ieee.org/author/37538488700
    ID: 37538488700
    Order: 8
    Author Affiliations:
    • School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Image Sensor

• sensor_type: CMOS
• resolution: 1024 pixels
• dynamic_range: Not specified in the text
• pixel_size: 58µm x 58µm
• dark_current: Not specified in the text

Optical Data

• focal_length: Not specified in the text
• aperture: Not specified in the text
• field_of_view: 1.85mm x 1.85mm
• distortion: Not specified in the text

Performance Metrics

• frame_rate: Not specified in the text
• signal_to_noise_ratio: High (exact value not specified)
• sensitivity: Not specified in the text
• shutter_speed: Not specified in the text
• power_consumption: Not specified in the text
• noise: Input-referred voltage noise of 7.08μVrms integrated from 300Hz to 6kHz

Applications & Benefits

• cell_imaging: Used for real-time holistic cellular characterization and drug screening in biomedical applications.
• benefits: Supports extracellular potential recording, cellular impedance sensing, optical detection, and biphasic current stimulation.

Supporting Organizations

• supported_by: National Science Foundation, Semiconductor Research Corporation

Manuscript Details

• publication_date: Feb. 2018

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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