Open Access Paper
19 May 2006 Three-dimensional imaging and recognition of microorganisms using computational holography
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bahram Javidi, Seokwon Yeom, Inkyu Moon, and Edward Carapezza "Three-dimensional imaging and recognition of microorganisms using computational holography", Proc. SPIE 6234, Automatic Target Recognition XVI, 623405 (19 May 2006); https://doi.org/10.1117/12.664209
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Cited by 1 scholarly publication.
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KEYWORDS
Digital holography

Microorganisms

Image segmentation

Holograms

3D image processing

3D image reconstruction

Phase shifts

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