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Proceedings Paper

Elastic light scattering for clinical pathogens identification: application to early screening of Staphylococcus aureus on specific medium
Author(s): E. Schultz; V. Genuer; P. Marcoux; O. Gal; C. Belafdil; D. Decq; Max Maurin; S. Morales
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Paper Abstract

Elastic Light Scattering (ELS) is an innovative technique to identify bacterial pathogens directly on culture plates. Compelling results have already been reported for agri-food applications. Here, we have developed ELS for clinical diagnosis, starting with Staphylococcus aureus early screening. Our goal is to bring a result (positive/negative) after only 6 h of growth to fight surgical-site infections. The method starts with the acquisition of the scattering pattern arising from the interaction between a laser beam and a single bacterial colony growing on a culture medium. Then, the resulting image, considered as the bacterial species signature, is analyzed using statistical learning techniques. We present a custom optical setup able to target bacterial colonies with various sizes (30-500 microns). This system was used to collect a reference dataset of 38 strains of S. aureus and other Staphyloccocus species (5459 images) on ChromIDSAID/ MRSA bi-plates. A validation set from 20 patients has then been acquired and clinically-validated according to chromogenic enzymatic tests. The best correct-identification rate between S. aureus and S. non-aureus (94.7%) has been obtained using a support vector machine classifier trained on a combination of Fourier-Bessel moments and Local- Binary-Patterns extracted features. This statistical model applied to the validation set provided a sensitivity and a specificity of 90.0% and 56.9%, or alternatively, a positive predictive value of 47% and a negative predictive value of 93%. From a clinical point of view, the results head in the right direction and pave the way toward the WHO’s requirements for rapid, low-cost, and automated diagnosis tools.

Paper Details

Date Published: 8 February 2018
PDF: 13 pages
Proc. SPIE 10479, Light-Based Diagnosis and Treatment of Infectious Diseases, 1047909 (8 February 2018);
Show Author Affiliations
E. Schultz, Univ. Grenoble Alpes, CEA-LETI (France)
V. Genuer, Univ. Grenoble Alpes, CEA-LETI (France)
P. Marcoux, Univ. Grenoble Alpes, CEA-LETI (France)
O. Gal, CEA LIST (France)
C. Belafdil, CEA LIST (France)
D. Decq, Univ. Grenoble Alpes, CEA-LETI (France)
Max Maurin, CHU Grenoble (France)
S. Morales, Univ. Grenoble Alpes, CEA-LETI (France)

Published in SPIE Proceedings Vol. 10479:
Light-Based Diagnosis and Treatment of Infectious Diseases
Tianhong Dai, Editor(s)

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