Machine Learning-Enhanced SERS on Silicon-Gold Sensors for Ultra-High-Throughput Pathogen Detection
Bryan Guilcapi(Institute of Applied Science and Intelligent Systems), Lucia Petti(Institute of Applied Science and Intelligent Systems), Domenico Sagnelli(Institute of Applied Science and Intelligent Systems), Stefano Morabito(Istituto Superiore di Sanità), Massimo Rippa(Institute of Applied Science and Intelligent Systems), Valentina Marchesano(Institute of Applied Science and Intelligent Systems), Rosa Luisa Ambrosio(University of Naples Federico II), Giovanna Fusco(Istituto Zooprofilattico Sperimentale del Mezzogiorno), Maurizio Brigotti, Alessia Milano, Amalia D’Avino
Cited by 0
Related Papers
Multicenter Evaluation of a Sequence-Based Protocol for Subtyping Shiga Toxins and Standardizing Stx Nomenclature
|Journal of Clinical Microbiology|2012|828
Enterohaemorrhagic <i>Escherichia coli</i>: emerging issues on virulence and modes of transmission
|Veterinary Research|2005|644
Typing of Intimin Genes in Human and Animal Enterohemorrhagic and Enteropathogenic<i>Escherichia coli</i>: Characterization of a New Intimin Variant
|Infection and Immunity|2000|429
A New Shiga Toxin 2 Variant (Stx2f) from <i>Escherichia coli</i> Isolated from Pigeons
|Applied and Environmental Microbiology|2000|322