20 June 2024Uropathogens identification by multispectral imaging of urine clinical samples using a low-cost device: an intermediate technology solution
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Identification of after-culture microbial species using a low-cost fully automated system would strongly benefit Low Income Countries, as traditional culture plate reading for the purpose of species identification currently requires trained professionals and remains mostly manual, while more recent automated identification methods are costly. Our application is the label-free identification of uropathogens from bacterial colonies images directly on a non-chromogenic culture medium. With a frugal innovation mindset, we are developing a simple diagnostic system based on a filter wheel and a smartphone-driven CMOS camera. We are reporting performance of identification for true clinical samples and compare it to samples issued from a strain collection. Also, the capability to classify the five most-prevalent uropathogens (MPU) in presence of low-prevalent uropathogens (LPU) is evaluated. Two machine learning classification approaches are compared: classical or probabilistic support vector machine SVM (Platt method) using solely a 1-D vector of intensities without any morphological predictors at this stage. Some apparent shortcomings of the logistic regression approach are highlighted for the probabilistic SVM approach.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Denis Leroux,Régis Montvernay,Corinne Davenas,Yann Le Bihan, andCorine Fulchiron
"Uropathogens identification by multispectral imaging of urine clinical samples using a low-cost device: an intermediate technology solution", Proc. SPIE 13006, Biomedical Spectroscopy, Microscopy, and Imaging III, 130061F (20 June 2024); https://doi.org/10.1117/12.3021019
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Denis Leroux, Régis Montvernay, Corinne Davenas, Yann Le Bihan, Corine Fulchiron, "Uropathogens identification by multispectral imaging of urine clinical samples using a low-cost device: an intermediate technology solution," Proc. SPIE 13006, Biomedical Spectroscopy, Microscopy, and Imaging III, 130061F (20 June 2024); https://doi.org/10.1117/12.3021019