Programmable Active Pixel Sensor For Lowlight Biomedical Applications

• doi: 10.1109/BioCAS.2014.6981811
• title: Programmable active pixel sensor for low-light biomedical applications
• publisher: IEEE
• isbn: 978-1-4799-2346-5
• issn: 2163-4025
• rank: 3321
• access_type: LOCKED
• content_type: Conferences
• abstract: Today, the diseases are being treated with less invasive and more sophisticated, technology-oriented methods. The diagnostic tools that were usually used in the hospitals have become available at our homes. Within the heart of this new generation health-care systems, CMOS technology lies with its high capability of integration, low power consumption, and low cost. Within this context, CMOS image sensors require continuous research effort in this field. In this paper, we introduces a novel programmable Active Pixel Sensor (APS), which gives the end-users to choose among different modes of sensor operation by varying the pixel pitch/size vs the sensor output resolution. This method increases the photon collection efficiency and maximum two times the Signal to Noise Ratio (SNR). The final camera chip reaches a very high fill-factor of 79% with a total pixel size of four pixel as 12.64μm × 12.64μm, while the size of each photodiode is 5.6μm × 5.6μm. The full-well capacity and conversion gain are respectively 66629e- and 27μV/e-, while the total chip area is 5 × 5mm2.
• article_number: 6981811
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6981811
• html_url: https://ieeexplore.ieee.org/document/6981811/
• abstract_url: https://ieeexplore.ieee.org/document/6981811/
• publication_title: 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings
• conference_location: Lausanne, Switzerland
• conference_dates: 22-24 Oct. 2014
• publication_number: 6968677
• is_number: 6981625
• publication_year: 2014
• publication_date: 22-24 Oct. 2014
• start_page: 655
• end_page: 658
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 229
• insert_date: 20141211
• index_terms:
  • ieee_terms:
    • Transistors
    • Cameras
    • Photodiodes
    • Noise
    • Capacitance
    • CMOS integrated circuits
    • Photonics
  • dynamic_index_terms:
    • Biomedical Applications
    • Active Sensors
    • Active Pixel Sensor
    • Signal-to-noise
    • Signal-to-noise Ratio
    • Low Power Consumption
    • CMOS Technology
    • Efforts In The Field
    • Conversion Gain
    • Photon Collection
    • Denoising
    • Noise Reduction
    • Point-of-care
    • Control Signal
    • Microfluidic Chip
    • Lab-on-chip
    • Lab-on-a-chip
    • Top Level
    • Circuit Design
    • Design In Order
    • Identity In Order
    • Shot Noise
    • Poisson Noise
    • Parasitic Capacitance
    • Capping Layer
    • Differential Output
    • Differential Yield
    • Pixel Pitch
    • Low-light Image
    • PIN Photodiode
    • Standard CMOS
    • Traditional Implementation
    • Parallel Output
    • Readout Circuit
• isbn_formats:
  • format: Electronic ISBN, value: 978-1-4799-2346-5, isbnType: New-2005
• authors:
  • Author Name: Gözen Köklü
    Affiliation: Microelectronic Systems Laboratory (LSM), Swiss Federal Institute of Technology (EPFL)
    Author URL: https://ieeexplore.ieee.org/author/38072984400
    ID: 38072984400
    Order: 1
    Author Affiliations:
    • Microelectronic Systems Laboratory (LSM), Swiss Federal Institute of Technology (EPFL)
  • Author Name: Yusuf Leblebici
    Affiliation: Microelectronic Systems Laboratory (LSM), Swiss Federal Institute of Technology (EPFL)
    Author URL: https://ieeexplore.ieee.org/author/37276561900
    ID: 37276561900
    Order: 2
    Author Affiliations:
    • Microelectronic Systems Laboratory (LSM), Swiss Federal Institute of Technology (EPFL)
  • Author Name: Giovanni De Micheli
    Affiliation: Integrated Systems Laboratory (LSI), Swiss Federal Institute of Technology (EPFL)
    Author URL: https://ieeexplore.ieee.org/author/37274174300
    ID: 37274174300
    Order: 3
    Author Affiliations:
    • Integrated Systems Laboratory (LSI), Swiss Federal Institute of Technology (EPFL)
  • Author Name: Sandro Carrara
    Affiliation: Integrated Systems Laboratory (LSI), Swiss Federal Institute of Technology (EPFL)
    Author URL: https://ieeexplore.ieee.org/author/37299969000
    ID: 37299969000
    Order: 4
    Author Affiliations:
    • Integrated Systems Laboratory (LSI), Swiss Federal Institute of Technology (EPFL)

Image Sensor

• sensor_type: CMOS
• resolution: 640x480 (VGA)
• dynamic_range: Not specified
• pixel_size: 12.64μm × 12.64μm
• dark_current: Not specified

Optical Data

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

Performance Metrics

• noise: 1.75 electrons (e-) per pixel due to design

Applications & Benefits

• cell_imaging: Applicable in biomedical imaging applications, particularly in low-light scenarios.
• benefits: Programmable pixel size and increased photon collection efficiency, suitable for low-light imaging.

Supporting Organizations

• supported_by: EPFL (Swiss Federal Institute of Technology)

Manuscript Details

• publication_date: 22-24 Oct. 2014

Relevancy Score

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

Processed JSON Filename

request_1f6bacb3-b02e-4bf7-bf79-ede4375dd67e-programmable_active_pixel_sensor_for_lowlight_biomedical_applications.json