Dynamic Multispectral Imaging Using The Vertical Overflow Drain Structure

• doi: 10.1109/JSEN.2015.2406811
• title: Dynamic Multispectral Imaging Using the Vertical Overflow Drain Structure
• publisher: IEEE
• isbn:
• issn: 2379-9153
• rank: 2328
• access_type: LOCKED
• content_type: Journals
• abstract: Multispectral imaging enables discrimination of spectra beyond the 3-D spectral space of human vision. Most multispectral systems are complex and bulky, and simpler monolithic designs usually require several pixels in order to generate one multispectral data point. Here, we use the vertical overflow drain (VOD) structure to enable monolithic multispectral imaging in a single pixel. We show that by controlling the substrate bias voltage it is possible to change the effective depth of the photodiode, thus enabling dynamic tuning of the pixel's spectral response. A small voltage change (<;5 V) is shown experimentally to reduce the red light quantum efficiency by ~ 40 %, while the blue light quantum efficiency is reduced by <;10%. Using this effect, we demonstrate an ability to discriminate between different monochromatic illumination sources with 20-nm spectral resolution in a single pixel. In addition, we present an RGB image taken using an off-the-shelf charge coupled devices with no color filters by relying solely on the VOD mechanism. Finally, we present process and device simulations suggesting that this mechanism can be implemented in any pinned photodiode pixel with a VOD barrier, including in CMOS image sensors fabricated on n-type starting material.
• article_number: 7047728
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7047728
• html_url: https://ieeexplore.ieee.org/document/7047728/
• abstract_url: https://ieeexplore.ieee.org/document/7047728/
• publication_title: IEEE Sensors Journal
• conference_location:
• conference_dates:
• publication_number: 7361
• is_number: 7106029
• publication_year: 2015
• publication_date: July 2015
• start_page: 3967
• end_page: 3972
• citing_paper_count: 4
• citing_patent_count: 0
• download_count: 460
• insert_date: 20150224
• index_terms:
  • ieee_terms:
    • Photodiodes
    • Substrates
    • Image color analysis
    • Electric potential
    • Voltage measurement
    • Image sensors
  • author_terms:
    • CMOS image sensors
    • CCD image sensors
    • Multispectral imaging
    • Digital photography
    • CMOS image sensors
    • CCD image sensors
    • multispectral imaging
    • digital photography
  • dynamic_index_terms:
    • Multispectral Images
    • Multispectral Imagery
    • CCD Camera
    • Charge-coupled Device
    • Spectral Resolution
    • Bias Voltage
    • RGB Images
    • Image Sensor
    • Camera Sensor
    • Spectral Response
    • Single Pixel
    • Color Filter
    • Dynamic Tuning
    • PIN Photodiode
    • Photoelectron
    • Photoelectric
    • Charge Carriers
    • Maximum Depth
    • Color Images
    • Raw Images
    • Transformation Matrix
    • Transformation Matrices
    • Beer-Lambert
    • Lambert-Beer
    • Beer Lambert Law
    • Barrier Height
    • Physical Principles
    • TCAD Simulation
    • P-n Junction
    • Filter Array
• authors:
  • Author Name: Erez Tadmor
    Affiliation: Advanced Imaging Technologies Group, Microsoft Research and Development Center, Haifa, Israel
    Author URL: https://ieeexplore.ieee.org/author/37085415977
    ID: 37085415977
    Order: 1
    Author Affiliations:
    • Advanced Imaging Technologies Group, Microsoft Research and Development Center, Haifa, Israel
    • Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
  • Author Name: Amir Nevet
    Affiliation: Advanced Imaging Technologies Group, Microsoft R&D Center, Haifa, Israel
    Author URL: https://ieeexplore.ieee.org/author/37545580100
    ID: 37545580100
    Order: 2
    Author Affiliations:
    • Advanced Imaging Technologies Group, Microsoft R&D Center, Haifa, Israel
  • Author Name: Giora Yahav
    Affiliation: Advanced Imaging Technologies Group, Microsoft R&D Center, Haifa, Israel
    Author URL: https://ieeexplore.ieee.org/author/37293822600
    ID: 37293822600
    Order: 3
    Author Affiliations:
    • Advanced Imaging Technologies Group, Microsoft R&D Center, Haifa, Israel
  • Author Name: Alexander Fish
    Affiliation: Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
    Author URL: https://ieeexplore.ieee.org/author/37268457100
    ID: 37268457100
    Order: 4
    Author Affiliations:
    • Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
  • Author Name: David Cohen
    Affiliation: Advanced Imaging Technologies Group, Microsoft R&D Center, Haifa, Israel
    Author URL: https://ieeexplore.ieee.org/author/37085425772
    ID: 37085425772
    Order: 5
    Author Affiliations:
    • Advanced Imaging Technologies Group, Microsoft R&D Center, Haifa, Israel

Image Sensor

• sensor_type: CCDs with VOD mechanism
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

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

Performance Metrics

Applications & Benefits

• cell_imaging: Multispectral imaging techniques can be used in medical diagnosis.
• benefits: Dynamic control of spectral response using VOD; eliminates need for color filters; potential to utilize existing pixel designs.

Supporting Organizations

• supported_by: Microsoft R&D Center, Bar-Ilan University

Manuscript Details

• publication_date: July 2015

Relevancy Score

• score: 9
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • focal_length
  • aperture
  • field_of_view
  • distortion

Processed JSON Filename

request_fb783b0a-f2b8-4edf-bc5b-32e3f508cdde-dynamic_multispectral_imaging_using_the_vertical_overflow_drain_structure.json