Cmos Imager Microsystem For Multibacteria Detection

• doi: 10.1109/NEWCAS.2008.4606340
• title: CMOS imager microsystem for multi-bacteria detection
• publisher: IEEE
• isbn: 978-1-4244-2332-3
• issn:
• partnum: 08EX2323
• rank: 1852
• access_type: LOCKED
• content_type: Conferences
• abstract: The paper presents the design and implementation of a Complementary Metal-Oxide Semiconductor (CMOS) based imaging microsystem that can monitor multiple bacteria and viruses simultaneously. The sensor microsystem uses bacteriophages or phage organisms as recognition elements to detect deadly bacteria such as Anthrax, Salmonella, and E-Coli. The genetically engineered phages are viruses that recognize specific receptors on the bacteria surface to which they bind with extreme selectivity and sensitivity. The phages are tagged with fluorophores to render them optically responsive and are immobilized on the surface of an addressable micro-LED array. The LEDs are used to excite the phage organisms and subsequently the phages fluoresce. The intensity of the fluorescence is dependent on the concentration of specific bacteria attached to the phages and is detected by a custom-designed CMOS imager. The imager has a 26x20 phototransistor pixel array and is designed using AMIS 1.5μm technology. Each photo-pixel is designed to achieve a sensitivity of 24mV/nA with a maximum imager acquisition rate of 1000 frames/sec operating on a 5V DC supply.
• article_number: 4606340
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4606340
• html_url: https://ieeexplore.ieee.org/document/4606340/
• abstract_url: https://ieeexplore.ieee.org/document/4606340/
• publication_title: 2008 Joint 6th International IEEE Northeast Workshop on Circuits and Systems and TAISA Conference
• conference_location: Montreal, QC, Canada
• conference_dates: 22-25 June 2008
• publication_number: 4600187
• is_number: 4606305
• publication_year: 2008
• publication_date: 22-25 June 2008
• start_page: 137
• end_page: 140
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 158
• insert_date: 20080822
• index_terms:
  • ieee_terms:
    • Microorganisms
    • CMOS integrated circuits
    • Pixel
    • Fluorescence
    • Phototransistors
    • Equations
    • Arrays
  • dynamic_index_terms:
    • Salmonella
    • Concentration Of Bacteria
    • Anthrax
    • Pixel Array
    • Phototransistor
    • Microlens Array
    • Micro Lens Arrays
    • Polymerase Chain Reaction
    • Sample Holder
    • Voltage Drop
    • Potential Drop
    • IR Drop
    • Electron Hole Pairs
    • Target Bacteria
    • Weak Fluorescence Signal
    • Sensor Pixel
• isbn_formats:
  • format: CD, value: 978-1-4244-2332-3, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-2331-6, isbnType: New-2005
• authors:
  • Author Name: Lei Yao
    Affiliation: Sensor Microsystems Laboratory Department of Electrical and Computer Engineering, McGill University, Montreal, Canada
    Author URL: https://ieeexplore.ieee.org/author/37087630440
    ID: 37087630440
    Order: 1
    Author Affiliations:
    • Sensor Microsystems Laboratory Department of Electrical and Computer Engineering, McGill University, Montreal, Canada
  • Author Name: Mohamad Hajj Hassan
    Affiliation: Sensor Microsystems Laboratory Department of Electrical and Computer Engineering, McGill University, Montreal, Canada
    Author URL: https://ieeexplore.ieee.org/author/37588543400
    ID: 37588543400
    Order: 2
    Author Affiliations:
    • Sensor Microsystems Laboratory Department of Electrical and Computer Engineering, McGill University, Montreal, Canada
  • Author Name: Vamsy Chodavarapu
    Affiliation: Sensor Microsystems Laboratory Department of Electrical and Computer Engineering, McGill University, Montreal, Canada
    Author URL: https://ieeexplore.ieee.org/author/37300719100
    ID: 37300719100
    Order: 3
    Author Affiliations:
    • Sensor Microsystems Laboratory Department of Electrical and Computer Engineering, McGill University, Montreal, Canada
  • Author Name: Arghavan Shabani
    Affiliation: Biophage Pharma Incorporate, Montreal, Canada
    Author URL: https://ieeexplore.ieee.org/author/37685161000
    ID: 37685161000
    Order: 4
    Author Affiliations:
    • Biophage Pharma Incorporate, Montreal, Canada
  • Author Name: Beatrice Allain
    Affiliation: Biophage Pharma Incorporate, Montreal, Canada
    Author URL: https://ieeexplore.ieee.org/author/37697854200
    ID: 37697854200
    Order: 5
    Author Affiliations:
    • Biophage Pharma Incorporate, Montreal, Canada
  • Author Name: Mohammed Zourob
    Affiliation: Biophage Pharma Incorporate, Montreal, Canada
    Author URL: https://ieeexplore.ieee.org/author/37697854600
    ID: 37697854600
    Order: 6
    Author Affiliations:
    • Biophage Pharma Incorporate, Montreal, Canada
  • Author Name: Rosemonde Mandeville
    Affiliation: Biophage Pharma Incorporate, Montreal, Canada
    Author URL: https://ieeexplore.ieee.org/author/37594201600
    ID: 37594201600
    Order: 7
    Author Affiliations:
    • Biophage Pharma Incorporate, Montreal, Canada

Image Sensor

• sensor_type: CMOS
• resolution: 26x20 pixels
• dynamic_range: 0-80nA
• pixel_size: 54µm x 58µm
• dark_current: not specified

Optical Data

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

Performance Metrics

• frame_rate: 1000 frames/sec
• sensitivity: 24mV/nA
• power_consumption: 5.6 mW

Applications & Benefits

• cell_imaging: The system can monitor multiple bacteria and viruses in real-time for applications in clinical diagnostics, national security, food safety, and environmental monitoring.
• benefits: The system offers a miniaturized, low-power, and low-cost platform capable of monitoring multiple bacteria simultaneously.

Supporting Organizations

• supported_by: NSERC, CIPI, CFI, Biophage Pharma, Inc., MOSIS

Manuscript Details

• publication_date: 22-25 June 2008

Relevancy Score

• score: 10
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • use of microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

request_4caa41cd-7630-4a13-86c1-89b17a2dd730-cmos_imager_microsystem_for_multibacteria_detection.json