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Development of a Smartphone-Integrated Reflective Scatterometer for Bacterial Identification
We present a smartphone-based bacterial colony phenotyping instrument using a reflective elastic light scattering (ELS) pattern and the resolving power of the new instrument. The reflectance-type device can acquire ELS patterns of colonies on highly opaque media as well as optically dense colonies....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003293/ https://www.ncbi.nlm.nih.gov/pubmed/35408260 http://dx.doi.org/10.3390/s22072646 |
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author | Doh, Iyll-Joon Dowden, Brianna Patsekin, Valery Rajwa, Bartek Robinson, J. Paul Bae, Euiwon |
author_facet | Doh, Iyll-Joon Dowden, Brianna Patsekin, Valery Rajwa, Bartek Robinson, J. Paul Bae, Euiwon |
author_sort | Doh, Iyll-Joon |
collection | PubMed |
description | We present a smartphone-based bacterial colony phenotyping instrument using a reflective elastic light scattering (ELS) pattern and the resolving power of the new instrument. The reflectance-type device can acquire ELS patterns of colonies on highly opaque media as well as optically dense colonies. The novel instrument was built using a smartphone interface and a 532 nm diode laser, and these essential optical components made it a cost-effective and portable device. When a coherent and collimated light source illuminated a bacterial colony, a reflective ELS pattern was created on the screen and captured by the smartphone camera. The collected patterns whose shapes were determined by the colony morphology were then processed and analyzed to extract distinctive features for bacterial identification. For validation purposes, the reflective ELS patterns of five bacteria grown on opaque growth media were measured with the proposed instrument and utilized for the classification. Cross-validation was performed to evaluate the classification, and the result showed an accuracy above 94% for differentiating colonies of E. coli, K. pneumoniae, L. innocua, S. enteritidis, and S. aureus. |
format | Online Article Text |
id | pubmed-9003293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90032932022-04-13 Development of a Smartphone-Integrated Reflective Scatterometer for Bacterial Identification Doh, Iyll-Joon Dowden, Brianna Patsekin, Valery Rajwa, Bartek Robinson, J. Paul Bae, Euiwon Sensors (Basel) Article We present a smartphone-based bacterial colony phenotyping instrument using a reflective elastic light scattering (ELS) pattern and the resolving power of the new instrument. The reflectance-type device can acquire ELS patterns of colonies on highly opaque media as well as optically dense colonies. The novel instrument was built using a smartphone interface and a 532 nm diode laser, and these essential optical components made it a cost-effective and portable device. When a coherent and collimated light source illuminated a bacterial colony, a reflective ELS pattern was created on the screen and captured by the smartphone camera. The collected patterns whose shapes were determined by the colony morphology were then processed and analyzed to extract distinctive features for bacterial identification. For validation purposes, the reflective ELS patterns of five bacteria grown on opaque growth media were measured with the proposed instrument and utilized for the classification. Cross-validation was performed to evaluate the classification, and the result showed an accuracy above 94% for differentiating colonies of E. coli, K. pneumoniae, L. innocua, S. enteritidis, and S. aureus. MDPI 2022-03-30 /pmc/articles/PMC9003293/ /pubmed/35408260 http://dx.doi.org/10.3390/s22072646 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Doh, Iyll-Joon Dowden, Brianna Patsekin, Valery Rajwa, Bartek Robinson, J. Paul Bae, Euiwon Development of a Smartphone-Integrated Reflective Scatterometer for Bacterial Identification |
title | Development of a Smartphone-Integrated Reflective Scatterometer for Bacterial Identification |
title_full | Development of a Smartphone-Integrated Reflective Scatterometer for Bacterial Identification |
title_fullStr | Development of a Smartphone-Integrated Reflective Scatterometer for Bacterial Identification |
title_full_unstemmed | Development of a Smartphone-Integrated Reflective Scatterometer for Bacterial Identification |
title_short | Development of a Smartphone-Integrated Reflective Scatterometer for Bacterial Identification |
title_sort | development of a smartphone-integrated reflective scatterometer for bacterial identification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003293/ https://www.ncbi.nlm.nih.gov/pubmed/35408260 http://dx.doi.org/10.3390/s22072646 |
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