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Automated three-dimensional detection and classification of living organisms using digital holographic microscopy with partial spatial coherent source: application to the monitoring of drinking water resources |
Applied Optics, Vol. 52, Issue 1, pp. A68-A80 (2013)
http://dx.doi.org/10.1364/AO.52.000A68
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Abstract
In this paper, we investigate the use of a digital holographic microscope working with partially coherent spatial illumination for an automated detection and classification of living organisms. A robust automatic method based on the computation of propagating matrices is proposed to detect the 3D position of organisms. We apply this procedure to the evaluation of drinking water resources by developing a classification process to identify parasitic protozoan Giardia lamblia cysts among two other similar organisms. By selecting textural features from the quantitative optical phase instead of morphological ones, a robust classifier is built to propose a new method for the unambiguous detection of Giardia lamblia cyst that present a critical contamination risk.
© 2013 Optical Society of America
OCIS Codes
(090.0090) Holography : Holography
(090.1760) Holography : Computer holography
(100.0100) Image processing : Image processing
(100.5010) Image processing : Pattern recognition
(100.6890) Image processing : Three-dimensional image processing
(180.0180) Microscopy : Microscopy
History
Original Manuscript: July 26, 2012
Revised Manuscript: September 5, 2012
Manuscript Accepted: September 24, 2012
Published: October 25, 2012
Virtual Issues
Vol. 8, Iss. 2 Virtual Journal for Biomedical Optics
Citation
Ahmed El Mallahi, Christophe Minetti, and Frank Dubois, "Automated three-dimensional detection and classification of living organisms using digital holographic microscopy with partial spatial coherent source: application to the monitoring of drinking water resources," Appl. Opt. 52, A68-A80 (2013)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-52-1-A68
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