title: 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.
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.
authors.affiliation: Microgravity Research Center, Université Libre de Bruxelles, 50 Avenue F. Roosevelt, CP 165/62, Brussels B-1050, Belgium. aelmalla@ulb.ac.be
authors.forename: Ahmed
authors.initials: A
authors.lastname: El Mallahi
authors.forename: Christophe
authors.initials: C
authors.lastname: Minetti
authors.forename: Frank
authors.initials: F
authors.lastname: Dubois
mesh_terms: D060766:Drinking Water / Q000032:analysis / Q000469:parasitology*; D004784:Environmental Monitoring / Q000379:methods*; D016829:Giardia lamblia / Q000166:cytology*; D006696:Holography / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008029:Lighting / Q000379:methods; D008853:Microscopy / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014873:Water Pollutants / Q000032:analysis*
chemical_list: D060766:Drinking Water; D014873:Water Pollutants