COMPUTED IMAGE MICROSCOPY OF THICK DERMAL TISSUE

Information

  • Research Project
  • 3493432
  • ApplicationId
    3493432
  • Core Project Number
    R43CA060342
  • Full Project Number
    1R43CA060342-01
  • Serial Number
    60342
  • FOA Number
  • Sub Project Id
  • Project Start Date
    8/1/1993 - 32 years ago
  • Project End Date
    6/30/1994 - 31 years ago
  • Program Officer Name
  • Budget Start Date
    8/1/1993 - 32 years ago
  • Budget End Date
    6/30/1994 - 31 years ago
  • Fiscal Year
    1993
  • Support Year
    1
  • Suffix
  • Award Notice Date
    7/16/1993 - 32 years ago
Organizations

COMPUTED IMAGE MICROSCOPY OF THICK DERMAL TISSUE

This proposal is a plan to determine whether computed image microscopy, based on the Normarski imaging, is useful for in vivo observation of dermal and sub-dermal tissue. Computed image microscopy uses the amplitude and phase information available from a Normarski image to calculate various types of microscopic views. One set of image data can be used to visualize all comon microscopic viewing modes. Normarski imaging has been shown to provide a high degree of optical sectioning. Consequently, computed image microscopy may provide sectioning capability similar to confocal microscopy. The technique has promise for cellular and macroscopic imaging. Structural views could provide three-dimensional representations of dermatologic disease. Phase I research will evaluate whether computed image microscopy is an experimentally practical and will compare its performance to that of a confocal imaging system. Both visible and infrared illumination will be used in the system. Infrared light will provide enhanced penetration of tissue, thus allowing diagnosis of conditions substantially beneath the surface of the skin.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R43
  • Administering IC
    CA
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    394
  • Ed Inst. Type
  • Funding ICs
  • Funding Mechanism
  • Study Section
    SSS
  • Study Section Name
  • Organization Name
    LUCID TECHNOLOGIES, INC.
  • Organization Department
  • Organization DUNS
  • Organization City
    HENRIETTA
  • Organization State
    NY
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    14467
  • Organization District
    UNITED STATES