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Portable bacterial identification system based on elastic light scatter patterns
BACKGROUND: Conventional diagnosis and identification of bacteria requires shipment of samples to a laboratory for genetic and biochemical analysis. This process can take days and imposes significant delay to action in situations where timely intervention can save lives and reduce associated costs....
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3490744/ https://www.ncbi.nlm.nih.gov/pubmed/22929757 http://dx.doi.org/10.1186/1754-1611-6-12 |
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author | Bae, Euiwon Ying, Dawei Kramer, Donald Patsekin, Valery Rajwa, Bartek Holdman, Cheryl Sturgis, Jennifer Davisson, V Jo Robinson, J Paul |
author_facet | Bae, Euiwon Ying, Dawei Kramer, Donald Patsekin, Valery Rajwa, Bartek Holdman, Cheryl Sturgis, Jennifer Davisson, V Jo Robinson, J Paul |
author_sort | Bae, Euiwon |
collection | PubMed |
description | BACKGROUND: Conventional diagnosis and identification of bacteria requires shipment of samples to a laboratory for genetic and biochemical analysis. This process can take days and imposes significant delay to action in situations where timely intervention can save lives and reduce associated costs. To enable faster response to an outbreak, a low-cost, small-footprint, portable microbial-identification instrument using forward scatterometry has been developed. RESULTS: This device, weighing 9 lb and measuring 12 × 6 × 10.5 in., utilizes elastic light scatter (ELS) patterns to accurately capture bacterial colony characteristics and delivers the classification results via wireless access. The overall system consists of two CCD cameras, one rotational and one translational stage, and a 635-nm laser diode. Various software algorithms such as Hough transform, 2-D geometric moments, and the traveling salesman problem (TSP) have been implemented to provide colony count and circularity, centering process, and minimized travel time among colonies. CONCLUSIONS: Experiments were conducted with four bacteria genera using pure and mixed plate and as proof of principle a field test was conducted in four different locations where the average classification rate ranged between 95 and 100%. |
format | Online Article Text |
id | pubmed-3490744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34907442012-11-08 Portable bacterial identification system based on elastic light scatter patterns Bae, Euiwon Ying, Dawei Kramer, Donald Patsekin, Valery Rajwa, Bartek Holdman, Cheryl Sturgis, Jennifer Davisson, V Jo Robinson, J Paul J Biol Eng Research BACKGROUND: Conventional diagnosis and identification of bacteria requires shipment of samples to a laboratory for genetic and biochemical analysis. This process can take days and imposes significant delay to action in situations where timely intervention can save lives and reduce associated costs. To enable faster response to an outbreak, a low-cost, small-footprint, portable microbial-identification instrument using forward scatterometry has been developed. RESULTS: This device, weighing 9 lb and measuring 12 × 6 × 10.5 in., utilizes elastic light scatter (ELS) patterns to accurately capture bacterial colony characteristics and delivers the classification results via wireless access. The overall system consists of two CCD cameras, one rotational and one translational stage, and a 635-nm laser diode. Various software algorithms such as Hough transform, 2-D geometric moments, and the traveling salesman problem (TSP) have been implemented to provide colony count and circularity, centering process, and minimized travel time among colonies. CONCLUSIONS: Experiments were conducted with four bacteria genera using pure and mixed plate and as proof of principle a field test was conducted in four different locations where the average classification rate ranged between 95 and 100%. BioMed Central 2012-08-28 /pmc/articles/PMC3490744/ /pubmed/22929757 http://dx.doi.org/10.1186/1754-1611-6-12 Text en Copyright ©2012 Bae et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Bae, Euiwon Ying, Dawei Kramer, Donald Patsekin, Valery Rajwa, Bartek Holdman, Cheryl Sturgis, Jennifer Davisson, V Jo Robinson, J Paul Portable bacterial identification system based on elastic light scatter patterns |
title | Portable bacterial identification system based on elastic light scatter patterns |
title_full | Portable bacterial identification system based on elastic light scatter patterns |
title_fullStr | Portable bacterial identification system based on elastic light scatter patterns |
title_full_unstemmed | Portable bacterial identification system based on elastic light scatter patterns |
title_short | Portable bacterial identification system based on elastic light scatter patterns |
title_sort | portable bacterial identification system based on elastic light scatter patterns |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3490744/ https://www.ncbi.nlm.nih.gov/pubmed/22929757 http://dx.doi.org/10.1186/1754-1611-6-12 |
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