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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....

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Autores principales: Bae, Euiwon, Ying, Dawei, Kramer, Donald, Patsekin, Valery, Rajwa, Bartek, Holdman, Cheryl, Sturgis, Jennifer, Davisson, V Jo, Robinson, J Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
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%.
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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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