https://doi.org/10.1051/epjconf/202328703017
Multispectral imaging for pathogen identification using a filter wheel and smartphone: A frugal innovation approach
1 Technology Research on Infectious Diseases | Open Innovation & Partnerships Dept., bioMérieux, Marcy l’Etoile, France
2 R&D Microbiology, bioMérieux, La Balme Les Grottes, France
3 Global Marketing, Culture Media & Lab Efficiency, bioMérieux, Marcy l’Etoile, France
* Corresponding author: denis.leroux@biomerieux.com
Published online: 18 October 2023
To create an affordable clinical test for use in more decentralized settings, we are developing a multispectral imaging system based on a filter wheel and a smartphone. Our application is the label-free identification of uropathogens from images of bacterial colonies directly on a non-chromogenic culture medium. Using feature selection techniques, we have previously shown through calculations, the possibility to move from hyper- to multi- spectral imaging by exploiting less than 8 spectral bands. Here, we confirm our findings by testing a database of true multispectral images acquired using a filter wheel holding up to 22 dichroic bandpass filters with a 10 nm bandwidth. Performance is reported for 5 species using only 6 filters. Probabilistic SVM algorithms were implemented to allow to reject species other than the targeted most prevalent uropathogens as it is crucial to keep the false-positive rate low. Evolution of specificity and sensitivity with probability threshold are discussed in the light of probability frequency distributions.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
