A Superresolution Cmos Image Sensor For Biomicrofluidic Imaging

• doi: 10.1109/BioCAS.2012.6418415
• title: A super-resolution CMOS image sensor for bio-microfluidic imaging
• publisher: IEEE
• isbn: 978-1-4673-2292-8
• issn: 2163-4025
• partnum: 12EX4809
• rank: 1310
• access_type: LOCKED
• content_type: Conferences
• abstract: A super-resolution CMOS image sensor is introduced in this paper for bio-microfluidic imaging. Compared to the traditional scientific CCD or CMOS image sensor, our design achieves the balance between high-sensitivity and high-resolution from system design perspective with the use of single-frame super-resolution. Moreover, the column-parallel image sensor architecture with correlated-double-sampling is deployed for high-speed and low-noise readout. The chip is designed in standard 0.18μm CMOS mixed-signal process with area of 2.5mm×5.0mm, 128×128 pixel-array and speed of 1750 frames/s. The resolution is improved by 4X by on-chip super-resolution algorithm while large pixel (10μm×10μm) is employed in image sensor for high-sensitivity.
• article_number: 6418415
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6418415
• html_url: https://ieeexplore.ieee.org/document/6418415/
• abstract_url: https://ieeexplore.ieee.org/document/6418415/
• publication_title: 2012 IEEE Biomedical Circuits and Systems Conference (BioCAS)
• conference_location: Hsinchu, Taiwan
• conference_dates: 28-30 Nov. 2012
• publication_number: 6410528
• is_number: 6418223
• publication_year: 2012
• publication_date: 28-30 Nov. 2012
• start_page: 388
• end_page: 391
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 535
• insert_date: 20130124
• index_terms:
  • ieee_terms:
    • Signal resolution
    • CMOS image sensors
    • Biomedical imaging
    • System-on-a-chip
    • Spatial resolution
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Large Pixel
    • Standard CMOS
    • Super-resolution Algorithms
    • Image Processing
    • Pixel Size
    • Low Light
    • Imaging Applications
    • Voltage Levels
    • Low-resolution Images
    • Sensor Array
    • Bilinear Interpolation
    • Light Sensitivity
    • Photophobic
    • High-speed Imaging
    • Digital Output
    • Pixel Data
    • Data For Each Pixel
    • Output Pixel
    • Super-resolution Approaches
    • Physical Pixel
    • Reference Pixels
    • Sense Amplifier
    • Digital Block
    • Single-frame Images
    • Single Image Frame
• isbn_formats:
  • format: Online ISBN, value: 978-1-4673-2292-8, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4673-2291-1, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4673-2293-5, isbnType: New-2005
• authors:
  • Author Name: Tongxi Wang
    Affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
    Author URL: https://ieeexplore.ieee.org/author/38548154600
    ID: 38548154600
    Order: 1
    Author Affiliations:
    • School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
  • Author Name: Xiwei Huang
    Affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
    Author URL: https://ieeexplore.ieee.org/author/37337298700
    ID: 37337298700
    Order: 2
    Author Affiliations:
    • School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
  • Author Name: Qixiang Jia
    Affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
    Author URL: https://ieeexplore.ieee.org/author/38548401200
    ID: 38548401200
    Order: 3
    Author Affiliations:
    • School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
  • Author Name: Mei Yan
    Affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
    Author URL: https://ieeexplore.ieee.org/author/38546762500
    ID: 38546762500
    Order: 4
    Author Affiliations:
    • School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
  • Author Name: Hao Yu
    Affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
    Author URL: https://ieeexplore.ieee.org/author/37275013000
    ID: 37275013000
    Order: 5
    Author Affiliations:
    • School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
  • Author Name: Kiat Seng Yeo
    Affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
    Author URL: https://ieeexplore.ieee.org/author/37277042100
    ID: 37277042100
    Order: 6
    Author Affiliations:
    • School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

Image Sensor

• sensor_type: CMOS
• resolution: 128x128 pixels
• dynamic_range: Not specified
• pixel_size: 10µm x 10µm
• 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: 1750 frames/s
• power_consumption: 105µA per column

Applications & Benefits

• cell_imaging: Used in bio-microfluidic imaging application to detect and analyze cells.
• benefits: High-speed, high-sensitivity, and on-chip super-resolution processing for better measurement throughput and accuracy.

Supporting Organizations

• supported_by: Nanyang Technological University (NTU)

Manuscript Details

• publication_date: 28-30 Nov. 2012

Relevancy Score

• score: 10
• missing_fields:
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise

Processed JSON Filename

request_37eaf489-cbc6-4d4e-a12f-04adf9a2185b-a_superresolution_cmos_image_sensor_for_biomicrofluidic_imaging.json