1 November 2006 Volumetric three-dimensional recognition of biological microorganisms using multivariate statistical method and digital holography
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J. of Biomedical Optics, 11(6), 064004 (2006). doi:10.1117/1.2397576
Abstract
We present a new statistical approach to real-time sensing and recognition of microorganisms using digital holographic microscopy. We numerically produce many section images at different depths along a longitudinal direction from the single digital hologram of three-dimensional (3D) microorganisms in the Fresnel domain. For volumetric 3D recognition, the test pixel points are randomly selected from the section image; this procedure can be repeated with different specimens of the same microorganism. The multivariate joint density functions are calculated from the pixel values of each section image at the same random pixel points. The parameters of the statistical distributions are compared using maximum likelihood estimation and statistical inference algorithms. The performance of the proposed system is illustrated with preliminary experimental results.
Inkyu Moon, Bahram Javidi, "Volumetric three-dimensional recognition of biological microorganisms using multivariate statistical method and digital holography," Journal of Biomedical Optics 11(6), 064004 (1 November 2006). http://dx.doi.org/10.1117/1.2397576
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KEYWORDS
Microorganisms

Digital holography

3D image processing

Holograms

Biological research

Statistical analysis

Image segmentation

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