Cmos Imaging For Biomedical Applications

• doi: 10.1109/MPOT.2008.916105
• title: CMOS imaging for biomedical applications
• publisher: IEEE
• isbn:
• issn: 1558-1772
• rank: 1855
• access_type: LOCKED
• content_type: Magazines
• abstract: CMOS photodetectors and imaging systems have shown that they possess adequate performance characteristics to replace CCDs or PMTs in some biomedical applications, thereby providing low power, portable, and cheap integrated bioimaging systems. Some advanced solutions, like novel active pixel sensors that detect ultra-low light levels, and avalanche photodiodes that are integrated in CMOS and perform single photon detection, are addressed in this paper.
• article_number: 4517500
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4517500
• html_url: https://ieeexplore.ieee.org/document/4517500/
• abstract_url: https://ieeexplore.ieee.org/document/4517500/
• publication_title: IEEE Potentials
• conference_location:
• conference_dates:
• publication_number: 45
• is_number: 4514673
• publication_year: 2008
• publication_date: May-June 2008
• start_page: 31
• end_page: 36
• citing_paper_count: 19
• citing_patent_count: 0
• download_count: 535
• insert_date: 20080512
• index_terms:
  • ieee_terms:
    • Biomedical imaging
    • Optical imaging
    • Photodetectors
    • Image converters
    • CMOS image sensors
    • Voltage
    • Photoconductivity
    • Biomedical measurements
    • Cancer
    • High-resolution imaging
  • dynamic_index_terms:
    • Low Cost
    • CCD Camera
    • Charge-coupled Device
    • Photodetector
    • Light Levels
    • Photomultiplier Tube
    • Disease Screening
    • Measurement Equipment
    • Photon Detection
    • Avalanche Photodiode
    • Single-photon Detectors
    • Photon-counting Detector
    • Low Light Levels
    • Sensor Pixel
    • Optical Tomography
    • Optical Imaging
    • Integration Time
    • PCR Array
    • DNA Microarray
    • Gene Array
    • Photocurrent
    • Image Sensor
    • Camera Sensor
    • Fluorescence Lifetime
    • Pixel Area
    • Dead Time
    • DC Level
• authors:
  • Author Name: Naser Faramarzpour
    Affiliation: McMaster University, Hamilton, Canada
    Author URL: https://ieeexplore.ieee.org/author/38324617800
    ID: 38324617800
    Order: 1
    Author Affiliations:
    • McMaster University, Hamilton, Canada
  • Author Name: Munir EL-DESOUKI
    Affiliation: McMaster University
    Author URL: https://ieeexplore.ieee.org/author/38557373600
    ID: 38557373600
    Order: 2
    Author Affiliations:
    • McMaster University
  • Author Name: M. Jamal Deen
    Affiliation: McMaster University
    Author URL: https://ieeexplore.ieee.org/author/38557801900
    ID: 38557801900
    Order: 3
    Author Affiliations:
    • McMaster University
  • Author Name: Qiyin Fang
    Affiliation: Junior Canada research chair, Biophotonics at McMaster University.
    Author URL: https://ieeexplore.ieee.org/author/37306023000
    ID: 37306023000
    Order: 4
    Author Affiliations:
    • Junior Canada research chair, Biophotonics at McMaster University.
    • McMaster University
  • Author Name: Shahramshirani
    Affiliation: McMaster University
    Author URL: https://ieeexplore.ieee.org/author/37087577999
    ID: 37087577999
    Order: 5
    Author Affiliations:
    • McMaster University
  • Author Name: L.W.C. Liu
    Affiliation: Department of Medicine, University of Toronto
    Author URL: https://ieeexplore.ieee.org/author/38558449900
    ID: 38558449900
    Order: 6
    Author Affiliations:
    • Department of Medicine, University of Toronto

Image Sensor

• sensor_type: CMOS
• resolution: 64x64 pixels (also mentioned as arrays up to megapixels)
• dynamic_range: Lower than CCDs, specific value not stated
• pixel_size: as small as 2 μm × 2 μm
• dark_current: Not explicitly stated, but longer integration times can lead to saturation from internal dark current

Optical Data

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

Performance Metrics

• frame_rate: 150 frames/s (for some specific applications)
• signal_to_noise_ratio: Lower than that of CCDs, specific value not stated
• sensitivity: Varies with pixel structures, e.g., DC level APS for low light
• shutter_speed: Specific values not provided, but implies various modes (global vs rolling)
• power_consumption: Low power compared to CCDs, exact value not specified
• noise: Fixed-pattern noise (FPN) due to nonuniformity

Applications & Benefits

• cell_imaging: Used for fluorescence imaging in biomedical applications, such as DNA microarrays and cancer detection
• benefits: Low power consumption, portable, cheap integrated bioimaging systems, high-speed operation, on-chip functionalities, sensitive detection of low light levels

Supporting Organizations

• supported_by: Natural Sciences and Engineering Research Council (NSERC) of Canada, Canada Research Chair program, KACST of Saudi Arabia

Manuscript Details

• publication_date: May-June 2008

Relevancy Score

• score: 10

Processed JSON Filename

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