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 language | English |
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Title of host publication | Advanced Sciences and Technologies for Security Applications |
Publisher | Springer |
Pages | 139-156 |
Number of pages | 18 |
DOIs | |
State | Published - 2006 |
Publication series
Name | Advanced Sciences and Technologies for Security Applications |
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Volume | 2 |
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