Pathogenic bacteria characterization through portable optical scatter device and machine learning
Our preliminary results from controlled experiments show that our portable device successfully quantified various pathogenic bacteria with reasonable accuracy through machine learning algorithms.
Authors
- Hitesh Handa (ORCID: https://orcid.org/0000-0002-9369-7374)
- Ramana M. Pidaparti (ORCID: https://orcid.org/0000-0002-7484-3858)
- Arnab Mondal (ORCID: https://orcid.org/0000-0001-8916-2468)
- Patrick Maffe (ORCID: https://orcid.org/0000-0002-2133-6246)
- Rao Tatavarti (ORCID: https://orcid.org/0000-0002-7920-7607)
- Rod Johnson
- Sanjay Oruganti
- Naveen Kurra
- Everett Grizzle
Institutions
- Andhra University (IN)
- University of Georgia (US)
- Rensselaer Polytechnic Institute (US)
- University of Maryland, College Park (US)
Publication Details
- Journal
- Sensors & Diagnostics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5sd00112a
- Primary Topic
- Image Processing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Georgia Research Alliance