Live Demonstration Realtime Chemical Imaging Of Ionic Solutions Using An Isfet Array

• doi: 10.1109/ISCAS.2017.8050722
• title: Live demonstration: Real-time chemical imaging of ionic solutions using an ISFET array
• publisher: IEEE
• isbn: 978-1-5090-1427-9
• issn: 2379-447X
• rank: 2896
• access_type: LOCKED
• content_type: Conferences
• abstract: We demonstrate a CMOS-based lab-on-chip platform which is capable of ion imaging to detect a variation in hydrogen, potassium and sodium ions. An ISFET array is used to detect a change in ion concentration with a calibration scheme to cancel the offset due to trapped charge. The Si3N4 passivation layer confers an inherent sensitivity to the sensors, and additional polymer membranes are pipetted containing a potassium and sodium ionophore. An initial algorithm identifies the sensitivity of each pixel towards the target ions. The user can inject a solution with a given concentration of ions and observe the real-time output change of the array on a MATLAB interface. The display then provides an estimate of the target ion concentration.
• article_number: 8050722
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8050722
• html_url: https://ieeexplore.ieee.org/document/8050722/
• abstract_url: https://ieeexplore.ieee.org/document/8050722/
• publication_title: 2017 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Baltimore, MD, USA
• conference_dates: 28-31 May 2017
• publication_number: 8014728
• is_number: 8049747
• publication_year: 2017
• publication_date: 28-31 May 2017
• start_page: 1
• end_page: 1
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 249
• insert_date: 20170928
• index_terms:
  • ieee_terms:
    • Ions
    • Sensors
    • Potassium
    • Sodium
    • Calibration
    • Real-time systems
    • Sensitivity
  • dynamic_index_terms:
    • Ion-sensitive Field-effect Transistor
    • Ion Concentration
    • Changes In Ion Concentrations
    • Chip Surface
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-1427-9, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4673-6853-7, isbnType: New-2005
• authors:
  • Author Name: Nicolas Moser
    Affiliation: Institute of Biomedical Engineering, Imperial College London, United Kingdom
    Author URL: https://ieeexplore.ieee.org/author/37085398603
    ID: 37085398603
    Order: 1
    Author Affiliations:
    • Institute of Biomedical Engineering, Imperial College London, United Kingdom
  • Author Name: Chi Leng Leong
    Affiliation: Department of Bioengineering, Imperial College London, United Kingdom
    Author URL: https://ieeexplore.ieee.org/author/37085857917
    ID: 37085857917
    Order: 2
    Author Affiliations:
    • Department of Bioengineering, Imperial College London, United Kingdom
  • Author Name: Yuanqi Hu
    Affiliation: Institute of Biomedical Engineering, Imperial College London, United Kingdom
    Author URL: https://ieeexplore.ieee.org/author/37713724100
    ID: 37713724100
    Order: 3
    Author Affiliations:
    • Institute of Biomedical Engineering, Imperial College London, United Kingdom
  • Author Name: Martyn Boutelle
    Affiliation: Department of Bioengineering, Imperial College London, United Kingdom
    Author URL: https://ieeexplore.ieee.org/author/37085859219
    ID: 37085859219
    Order: 4
    Author Affiliations:
    • Department of Bioengineering, Imperial College London, United Kingdom
  • Author Name: Pantelis Georgiou
    Affiliation: Institute of Biomedical Engineering, Imperial College London, United Kingdom
    Author URL: https://ieeexplore.ieee.org/author/37302145800
    ID: 37302145800
    Order: 5
    Author Affiliations:
    • Institute of Biomedical Engineering, Imperial College London, United Kingdom

Image Sensor

• sensor_type: CMOS
• resolution: 32x32 pixels
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

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

Performance Metrics

Applications & Benefits

• cell_imaging: The platform is designed for real-time chemical imaging, detecting variations in ion concentrations.
• benefits: Enables detection of hydrogen, potassium, and sodium ions in real-time.

Supporting Organizations

• supported_by: Imperial College London

Manuscript Details

• publication_date: 28-31 May 2017

Relevancy Score

• score: 7
• 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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