Photonic system for real-time detection, discrimination, and quantification of microbes in air

We report the results of the non-invasive photonic system AUM for remote detection and characterization of different pathogenic bacterial strains and mixtures. AUM applies the concepts of elastic light scattering, statistical mechanics, artificial intelligence, and machine learning to identify, clas...

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Bibliographic Details
Published inFrontiers in physics Vol. 11
Main Authors Tatavarti, Rao, Nadimpalli, Sridevi, Mangina, Gowtham Venkata Kumar, Kiran Machiraju, Naga, Pachiyappan, Arulmozhivarman, Hiremath, Shridhar, Jagannathan, Venkataseshan, Viswanathan, Pragasam
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 13.04.2023
Subjects
detection
discrimination
microbes in air
photonic system
quantification
real-time
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Summary:We report the results of the non-invasive photonic system AUM for remote detection and characterization of different pathogenic bacterial strains and mixtures. AUM applies the concepts of elastic light scattering, statistical mechanics, artificial intelligence, and machine learning to identify, classify and quantify various microbes in the scattering volume in real-time and, therefore, can become a potential tool in controlling and managing diseases caused by pathogenic microbes.
ISSN:2296-424X
2296-424X
DOI:10.3389/fphy.2023.1118885