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Proceedings Paper

Optical elastic scattering for early label-free identification of clinical pathogens
Author(s): Valentin Genuer; Olivier Gal; Jérémy Méteau; Pierre Marcoux; Emmanuelle Schultz; Éric Lacot; Max Maurin; Jean-Marc Dinten
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Paper Abstract

We report here on the ability of elastic light scattering in discriminating Gram+, Gram- and yeasts at an early stage of growth (6h). Our technique is non-invasive, low cost and does require neither skilled operators nor reagents. Therefore it is compatible with automation. It is based on the analysis of the scattering pattern (scatterogram) generated by a bacterial microcolony growing on agar, when placed in the path of a laser beam. Measurements are directly performed on closed Petri dishes.

The characteristic features of a given scatterogram are first computed by projecting the pattern onto the Zernike orthogonal basis. Then the obtained data are compared to a database so that machine learning can yield identification result. A 10-fold cross-validation was performed on a database over 8 species (15 strains, 1906 scatterograms), at 6h of incubation. It yielded a 94% correct classification rate between Gram+, Gram- and yeasts. Results can be improved by using a more relevant function basis for projections, such as Fourier-Bessel functions. A fully integrated instrument has been installed at the Grenoble hospital’s laboratory of bacteriology and a validation campaign has been started for the early screening of MSSA and MRSA (Staphylococcus aureus, methicillin-resistant S. aureus) carriers.

Up to now, all the published studies about elastic scattering were performed in a forward mode, which is restricted to transparent media. However, in clinical diagnostics, most of media are opaque, such as blood-supplemented agar. That is why we propose a novel scheme capable of collecting back-scattered light which provides comparable results.

Paper Details

Date Published: 7 March 2016
PDF: 13 pages
Proc. SPIE 9698, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIV, 96980A (7 March 2016); doi: 10.1117/12.2211021
Show Author Affiliations
Valentin Genuer, Univ. Grenoble-alpes (France)
CEA, LETI (France)
Olivier Gal, CEA, LIST (France)
Jérémy Méteau, Univ. Grenoble-alpes (France)
CEA, LETI (France)
Pierre Marcoux, Univ. Grenoble-alpes (France)
CEA, LETI (France)
Emmanuelle Schultz, Univ. Grenoble-alpes (France)
CEA, LETI (France)
Éric Lacot, Univ. Grenoble-alpes (France)
Liphy (France)
Max Maurin, CHU de Grenoble (France)
Jean-Marc Dinten, Univ. Grenoble-alpes (France)
CEA, LETI (France)


Published in SPIE Proceedings Vol. 9698:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIV
Tuan Vo-Dinh; Anita Mahadevan-Jansen; Warren S. Grundfest, Editor(s)

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