A 9696 1V Ultralow Power Cmos Image Sensor For Biomedical Application

• doi: 10.1109/APCCAS.2012.6418959
• title: A 96×96 1V ultra-low power CMOS image sensor for biomedical application
• publisher: IEEE
• isbn: 978-1-4577-1728-4
• issn:
• partnum: 12EX5808
• rank: 518
• access_type: LOCKED
• content_type: Conferences
• abstract: An ultra-low power CMOS image sensor is designed for endomicroscope applications. The chip will be fabricated through Global Foundries 0.18μm standard CMOS process with 1V power supply. The total power consumption is 6μW for 96×96 array with 5fps frame rate, where global amplifier consumes 3.3 μW, 10-bit SAR ADC consumes 900nW at 50kS/s, and on-chip digital processing further reduces IO power consumption down to 1.6μW.
• article_number: 6418959
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6418959
• html_url: https://ieeexplore.ieee.org/document/6418959/
• abstract_url: https://ieeexplore.ieee.org/document/6418959/
• publication_title: 2012 IEEE Asia Pacific Conference on Circuits and Systems
• conference_location: Kaohsiung, Taiwan
• conference_dates: 2-5 Dec. 2012
• publication_number: 6412846
• is_number: 6418954
• publication_year: 2012
• publication_date: 2-5 Dec. 2012
• start_page: 13
• end_page: 16
• citing_paper_count: 5
• citing_patent_count: 0
• download_count: 542
• insert_date: 20130124
• index_terms:
  • ieee_terms:
    • Power demand
    • System-on-a-chip
    • Simulation
    • Low-power electronics
    • CMOS image sensors
    • Standards
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Ultra-low Power
    • Total Consumption
    • Total Expenditure
    • Power Consumption
    • Standard Process
    • Global Processing
    • Total Power Consumption
    • Standard CMOS
    • Cirrhosis
    • Hepatic Fibrosis
    • Liver Fibrosis
    • Cirrhotic
    • Liver Cirrhosis
    • Image Pixels
    • Solar Cells
    • Energy Harvesting
    • Second Harmonic Generation
    • Circuit Design
    • Sensor Array
    • Digital Control
    • Pixel Pitch
    • Input Clock
• isbn_formats:
  • format: CD, value: 978-1-4577-1728-4, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4577-1729-1, isbnType: New-2005
• authors:
  • Author Name: Tongxi Wang
    Affiliation: Electrical and Electronic Engineering Department, NTU, Singapore
    Author URL: https://ieeexplore.ieee.org/author/38548154600
    ID: 38548154600
    Order: 1
    Author Affiliations:
    • Electrical and Electronic Engineering Department, NTU, Singapore
  • Author Name: Xiwei Huang
    Affiliation: Electrical and Electronic Engineering Department, NTU, Singapore
    Author URL: https://ieeexplore.ieee.org/author/37337298700
    ID: 37337298700
    Order: 2
    Author Affiliations:
    • Electrical and Electronic Engineering Department, NTU, Singapore
  • Author Name: Mei Yan
    Affiliation: Electrical and Electronic Engineering Department, NTU, Singapore
    Author URL: https://ieeexplore.ieee.org/author/38546762500
    ID: 38546762500
    Order: 3
    Author Affiliations:
    • Electrical and Electronic Engineering Department, NTU, Singapore
  • Author Name: Hao Yu
    Affiliation: Electrical and Electronic Engineering Department, NTU, Singapore
    Author URL: https://ieeexplore.ieee.org/author/37275013000
    ID: 37275013000
    Order: 4
    Author Affiliations:
    • Electrical and Electronic Engineering Department, NTU, Singapore
  • Author Name: Kiat Seng Yeo
    Affiliation: Electrical and Electronic Engineering Department, NTU, Singapore
    Author URL: https://ieeexplore.ieee.org/author/37277042100
    ID: 37277042100
    Order: 5
    Author Affiliations:
    • Electrical and Electronic Engineering Department, NTU, Singapore
  • Author Name: Ismail Cevik
    Affiliation: Department of Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA
    Author URL: https://ieeexplore.ieee.org/author/38469492000
    ID: 38469492000
    Order: 6
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA
  • Author Name: Suat Ay
    Affiliation: Department of Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA
    Author URL: https://ieeexplore.ieee.org/author/37326790500
    ID: 37326790500
    Order: 7
    Author Affiliations:
    • Department of Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA

Image Sensor

• sensor_type: CMOS
• resolution: 96x96
• dynamic_range: Not explicitly mentioned in the text
• pixel_size: 23µm
• dark_current: Not explicitly mentioned in the text

Optical Data

• focal_length: Not explicitly mentioned in the text
• aperture: Not explicitly mentioned in the text
• field_of_view: Not explicitly mentioned in the text
• distortion: Not explicitly mentioned in the text

Performance Metrics

• frame_rate: 5fps
• signal_to_noise_ratio: Not explicitly mentioned in the text
• sensitivity: Not explicitly mentioned in the text
• shutter_speed: Not explicitly mentioned in the text
• power_consumption: 6µW
• noise: Not explicitly mentioned in the text

Applications & Benefits

• cell_imaging: Used in endomicroscopy for non-invasive imaging and monitoring of liver fibrosis progression.
• benefits: Low power consumption, high speed, small size, improved sensitivity with backside illumination.

Supporting Organizations

• supported_by: Global Foundries

Manuscript Details

• publication_date: 2-5 Dec. 2012

Relevancy Score

• score: 9
• missing_fields:
  • quantum_efficiency
  • temporal_noise
  • analog_to_digital_conversion_techniques
  • microlenses
  • on_chip_colour_filters
  • global_or_rolling_shutters

Processed JSON Filename

request_3b50c7ee-0e61-46c3-b13e-1d8b9a4208bb-a_9696_1v_ultralow_power_cmos_image_sensor_for_biomedical_application.json