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11-16 April 2026
Conference 13006 > Paper 13006-95
Paper 13006-95

Uropathogens identification by multispectral imaging of urine clinical samples using a low-cost device: an intermediate-technology solution

On demand | Presented live 9 April 2024

Abstract

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.

Presenter

Denis F. Leroux
bioMérieux SA (France)
Denis Leroux is a Belgian R&D scientist with expertise as a researcher in USA and Europe, in the fields of clinical In-Vitro-Diagnostics, cell culture bioprocessing, biosensors, spectroscopies and polymeric materials. He holds a Ph.D. in polymer science, a M.S. in heterogeneous catalysis from Lyon Un. (France), and a B.S. in chemistry from Liège Un. (Belgium). He was a post-doctorate at the Max-Planck Institute MPIKG in Teltow (Germany) and in North Carolina (USA). His current position is Research fellow at bioMérieux (Lyon, France), a company leader in the in-vitro-diagnostic field with a focus on infectious diseases. Current activity is in hyperspectral imaging and vibrational spectroscopies applied to pathogens identification and antibiotic susceptibility testing. Previous startup experiences include developing optical biosensors for robotic high-throughput cell culture systems (BioProcessors, MA, USA) and electrophoretic displays (Sipix Imaging, CA, USA) .
Application tracks: AI/ML , Sustainability
Presenter/Author
Denis F. Leroux
bioMérieux SA (France)
Author
Régis Montvernay
bioMérieux SA (France)
Author
bioMérieux SA (France)
Author
bioMérieux SA (France)
Author
Corine Fulchiron
bioMérieux SA (France)