Open Access Paper
17 October 2006 3D imaging, visualization, and recognition of biological micro-organisms
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Proceedings Volume 6392, Three-Dimensional TV, Video, and Display V; 639202 (2006) https://doi.org/10.1117/12.694417
Event: Optics East 2006, 2006, Boston, Massachusetts, United States
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bahram Javidi, Inkyu Moon, and Mehdi Daneshpanah "3D imaging, visualization, and recognition of biological micro-organisms", Proc. SPIE 6392, Three-Dimensional TV, Video, and Display V, 639202 (17 October 2006); https://doi.org/10.1117/12.694417
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KEYWORDS
Microorganisms

Image segmentation

Digital holography

Holograms

3D image processing

3D image reconstruction

Holography

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