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Proceedings Paper

3D imaging, visualization, and recognition of biological micro-organisms
Author(s): Bahram Javidi; Inkyu Moon; Mehdi Daneshpanah
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Paper Abstract

In this paper, we address coherent optical imaging techniques for real time automated three-dimensional (3D) sensing, visualization and recognition of dynamic biological microorganisms. Real time sensing and 3D reconstruction of the dynamic biological microorganisms is performed using the single-exposure on-line (SEOL) digital holographic microscopy. A coherent 3D microscope-based interferometer is used to record digital holograms of dynamic micro biological events. Complex amplitude 3D images of the biological microorganisms are computationally reconstructed at different depths by Fresnel propagation algorithm. Statistical segmentation algorithms are applied to identify regions of interest for further processing. Statistical pattern recognition approaches are addressed to identify and recognize the microorganisms. Experimental results with biological microorganisms are presented to illustrate detection, segmentation, and identification of biological events.

Paper Details

Date Published: 17 October 2006
PDF: 10 pages
Proc. SPIE 6392, Three-Dimensional TV, Video, and Display V, 639202 (17 October 2006); doi: 10.1117/12.694417
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Inkyu Moon, Univ. of Connecticut (United States)
Mehdi Daneshpanah, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 6392:
Three-Dimensional TV, Video, and Display V
Bahram Javidi; Fumio Okano; Jung-Young Son, Editor(s)

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