Research Papers

Volumetric three-dimensional recognition of biological microorganisms using multivariate statistical method and digital holography

[+] Author Affiliations
Inkyu Moon, Bahram Javidi

University of Connecticut, Department of Electrical and Computer Engineering, U-2157, Storrs, Connecticut 06269-2157

J. Biomed. Opt. 11(6), 064004 (December 13, 2006). doi:10.1117/1.2397576
History: Received March 10, 2006; Revised August 04, 2006; Accepted August 07, 2006; Published December 13, 2006; Online December 13, 2006
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We present a new statistical approach to real-time sensing and recognition of microorganisms using digital holographic micro-scopy. 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.

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© 2006 Society of Photo-Optical Instrumentation Engineers

Citation

Inkyu Moon and Bahram Javidi
"Volumetric three-dimensional recognition of biological microorganisms using multivariate statistical method and digital holography", J. Biomed. Opt. 11(6), 064004 (December 13, 2006). ; http://dx.doi.org/10.1117/1.2397576


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