Three-dimensional imaging and recognition of microorganisms using computational holography

Bahram Javidi, Seokwon Yeom, Inkyu Moon, Edward Carapezza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this keynote address, we introduce three-dimensional (3D) sensing, visualization and recognition of microorganisms using microscopy-based single-exposure on-line (SEOL) digital holography. A coherent Mach-Zehnder interferometer records Fresnel diffraction field by a single on-line exposure to generate a microscopic digital hologram. Complex amplitude distribution is numerically reconstructed by the inverse Fresnel transform at arbitrary depth planes. After the reconstruction of volumetric complex images, 3D biological micro-objects are segmented and features are extracted by Gabor-based wavelets. The graph matching technique searches predefined 3D morphological shapes of reference biological microorganisms. Preliminary experimental results using sphacelaria alga and tribonema aequale alga are presented.

Original languageEnglish
Title of host publicationAutomatic Target Recognition XVI
DOIs
StatePublished - 2006
EventAutomatic Target Recognition XVI - Kissimmee, FL, United States
Duration: 18 Apr 200619 Apr 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6234
ISSN (Print)0277-786X

Conference

ConferenceAutomatic Target Recognition XVI
Country/TerritoryUnited States
CityKissimmee, FL
Period18/04/0619/04/06

Keywords

  • Feature extraction
  • Fourier optics
  • Holographic interferometry
  • Pattern recognition
  • Three-dimensional image processing

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