3d imaging and recognition of microorganism using single-exposure online (SEOL) digital holography

Bahram Javidi, Inkyu Moon, Seokwon Yeom, Edward Carapezza

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

We address three-dimensional (3D) visualization and recognition of microorganisms using single-exposure online (SEOL) digital holography. A coherent 3D microscope-based Mach-Zehnder interferometer records a single online Fresnel digital hologram of microorganisms. Three-dimensional microscopic images are reconstructed numerically at different depths by an inverse Fresnel transformation. For recognition, microbiological objects are segmented by processing the background diffraction field. Gabor-based wavelets extract feature vectors with multi-oriented and multi-scaled Gabor kernels. We apply a rigid graph matching (RGM) algorithm to localize predefined shape features of biological samples. Preliminary experimental and simulation results using sphacelaria alga and Tribonema aequale alga microorganisms are presented. To the best of our knowledge, this is the first report on 3D visualization and recognition of microorganisms using on-line digital holography with single-exposure.

Original languageEnglish
Title of host publicationAdvanced Sciences and Technologies for Security Applications
PublisherSpringer
Pages139-156
Number of pages18
DOIs
StatePublished - 2006

Publication series

NameAdvanced Sciences and Technologies for Security Applications
Volume2
ISSN (Print)1613-5113
ISSN (Electronic)2363-9466

Bibliographical note

Publisher Copyright:
© 2006, Springer Science+Business Media, Inc.

Keywords

  • Defense Advance Research Project Agency
  • Digital Holography
  • Feature Vector
  • Object Beam
  • Reference Beam

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