Biolabsonachip Monitoring Cells Using Cmos Biosensors

• doi: 10.1109/LSSA.2006.250374
• title: BioLabs-On-A-Chip: Monitoring Cells using CMOS Biosensors
• publisher: IEEE
• isbn: 1-4244-0278-6
• issn:
• partnum: 06EX1342
• rank: 1723
• access_type: LOCKED
• content_type: Conferences
• abstract: Cell clinics, CMOS/MEMS hybrid microsystems for capturing and in-situ investigation of living cells, aims at providing high-speed, automated, and economical cell monitoring. Integrated sensors are being developed for extracellular signal amplification, cell-substrate capacitance sensing, contact imaging, and fluorescence detection. We describe the methodology for characterizing the responses of these sensors to biological cells. We also present results obtained from the long-term monitoring of cells cultured on-chip using two of the sensors: (i) a bio-amplifier, used for amplifying weak extracellular potentials from electrically active cells, and (ii) a cell-substrate capacitance sensor, used for tracking cell adhesion and assessing cell viability
• article_number: 4015845
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4015845
• html_url: https://ieeexplore.ieee.org/document/4015845/
• abstract_url: https://ieeexplore.ieee.org/document/4015845/
• publication_title: 2006 IEEE/NLM Life Science Systems and Applications Workshop
• conference_location: Bethesda, MD, USA
• conference_dates: 13-14 July 2006
• publication_number: 4015775
• is_number: 4015776
• publication_year: 2006
• publication_date: 13-14 July 2006
• start_page: 1
• end_page: 2
• citing_paper_count: 3
• citing_patent_count: 15
• download_count: 218
• insert_date: 20061130
• index_terms:
  • ieee_terms:
    • Biosensors
    • Sensor phenomena and characterization
    • Cells (biology)
    • Capacitive sensors
    • CMOS image sensors
    • Extracellular
    • Capacitance
    • Micromechanical devices
    • Computerized monitoring
    • Image sensors
  • dynamic_index_terms:
    • Cell Viability
    • Fluorescence Detection
    • Electrical Activity
    • Capacitive Sensor
    • Electrode
    • Depolarization Effect
    • Depolarization Events
    • Test Board
• isbn_formats:
  • format: CD, value: 1-4244-0278-6, isbnType: Historical
  • format: Print ISBN, value: 1-4244-0277-8, isbnType: Historical
• authors:
  • Author Name: Somashekar B. Prakash
    Affiliation: Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37429950600
    ID: 37429950600
    Order: 1
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
  • Author Name: Nicole M. Nelson
    Affiliation: Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37277370700
    ID: 37277370700
    Order: 2
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
  • Author Name: Alfred M. Haas
    Affiliation: Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37628743900
    ID: 37628743900
    Order: 3
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
  • Author Name: Victor Jeng
    Affiliation: Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37827955100
    ID: 37827955100
    Order: 4
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
  • Author Name: Pamela Abshire
    Affiliation: Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37270824500
    ID: 37270824500
    Order: 5
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA
  • Author Name: Mario Urdaneta
    Affiliation: Department of Mechanical Engineering, University of Maryland, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37424249400
    ID: 37424249400
    Order: 6
    Author Affiliations:
    • Department of Mechanical Engineering, University of Maryland, College Park, MD, USA
  • Author Name: Elisabeth Smela
    Affiliation: Department of Mechanical Engineering, University of Maryland, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37270797200
    ID: 37270797200
    Order: 7
    Author Affiliations:
    • Department of Mechanical Engineering, University of Maryland, College Park, MD, USA

Image Sensor

• sensor_type: CMOS
• resolution: not specified in the text
• dynamic_range: not specified in the text
• pixel_size: not specified in the text
• 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: not specified in the text
• distortion: not specified in the text

Performance Metrics

• frame_rate: not specified in the text
• signal_to_noise_ratio: not specified in the text
• sensitivity: not specified in the text
• shutter_speed: not specified in the text
• power_consumption: not specified in the text
• noise: not specified in the text

Applications & Benefits

• cell_imaging: Continuous monitoring of biological cells and their electrical activity using CMOS sensors.
• benefits: Allows for high-speed and automated cell monitoring, cost-effective and small-sized solutions.

Supporting Organizations

• supported_by: National Science Foundation, Laboratory for Physical Sciences

Manuscript Details

• publication_date: 13-14 July 2006

Relevancy Score

• score: 4
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

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