SBIR Phase I: Innovative Germanium-based Short Wavelength Infrared Image Sensors

Information

  • NSF Award
  • 1415690
Owner
  • Award Id
    1415690
  • Award Effective Date
    7/1/2014 - 9 years ago
  • Award Expiration Date
    12/31/2014 - 9 years ago
  • Award Amount
    $ 150,000.00
  • Award Instrument
    Standard Grant

SBIR Phase I: Innovative Germanium-based Short Wavelength Infrared Image Sensors

The broader impacts/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be widespread use of Short Wavelength Infrared (SWIR) imaging technology in a variety of industries. New Ge-based SWIR imaging sensor technology enables infrared imaging to move beyond niche industrial and scientific applications and enter mainstream commercial markets. The Ge-based SWIR sensors proposed here are low-power, high-resolution and dramatically lower cost. When incorporated into handheld devices, such as smartphones, SWIR image sensors may allow non-invasive, real-time biological monitoring. For example, they may enable diabetic patients bloodless glucose monitoring. Furthermore, these SWIR Image sensors can be utilized in diverse fields, including automotive safety and food safety inspection. <br/><br/>This Small Business Innovation Research (SBIR) Phase I project seeks to develop high-resolution Ge (Germanium) based Short Wavelength Infrared (SWIR) image sensors. SWIR lights (800 nm to 1.8 µm) are invisible to the human eye, but they can provide invaluable information. Image sensors that detect SWIR lights enable night vision and sub-surface views of a variety of products and materials. However, current SWIR image sensors are made of a material called InGaAs, which is costly to create and has limitations in terms of resolution and power usage. To overcome these problems and bring the benefits of SWIR image sensors into our daily lives, a new method for producing SWIR image sensors has been invented. Improving the resolution of Ge-based SWIR image sensors to VGA (640x512) resolution while maintaining low noise level will dramatically advance SWIR imaging technology.

  • Program Officer
    Steven Konsek
  • Min Amd Letter Date
    5/23/2014 - 10 years ago
  • Max Amd Letter Date
    5/23/2014 - 10 years ago
  • ARRA Amount

Institutions

  • Name
    Stratio, Inc.
  • City
    Palo Alto
  • State
    CA
  • Country
    United States
  • Address
    321 POE ST
  • Postal Code
    943011136
  • Phone Number
    6507967456

Investigators

  • First Name
    Jae-Hyung
  • Last Name
    Lee
  • Email Address
    jaehyung.lee@stratiotechnology.com
  • Start Date
    5/23/2014 12:00:00 AM

Program Element

  • Text
    SMALL BUSINESS PHASE I
  • Code
    5371

Program Reference

  • Text
    Light generation & detection
  • Text
    SMALL BUSINESS PHASE I
  • Code
    5371
  • Text
    Hardware Devices
  • Code
    8035