Digital color correlation for the recognition of Vibrio cholerae 01 in laboratory and environmental samples

In general, direct counts are more reflective of microbial abundance than plate counts. Microbiological techniques developed to recognize and count microorganisms in natural systems have had problems with reliability. Different methods frequently give different results for the enumeration of a speci...

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Autores principales: Mouriño-Pérez,Rosa R, Alvarez-Borrego,Josué, Gallardo-Escárate,Cristián
Lenguaje:English
Publicado: Universidad de Valparaíso. Facultad de Ciencias del Mar 2006
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-19572006000100010
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spelling oai:scielo:S0718-195720060001000102006-11-23Digital color correlation for the recognition of Vibrio cholerae 01 in laboratory and environmental samplesMouriño-Pérez,Rosa RAlvarez-Borrego,JosuéGallardo-Escárate,Cristián Identification digital systems bacteria In general, direct counts are more reflective of microbial abundance than plate counts. Microbiological techniques developed to recognize and count microorganisms in natural systems have had problems with reliability. Different methods frequently give different results for the enumeration of a specific organism. For direct microscopic examination of bacteria, automated digital systems represent a possible improvement in the identification and counting of microorganisms, eliminating observer bias, reducing costs and analysis time. A computational program was developed to evaluate the utility of coherent digital systems with color correlation for the recognition of Vibrio cholerae 01 in laboratory cultures and environmental samples stained with fluorescent monoclonal antibody. We tested 94 positive and 115 negative laboratory samples and, 33 positive and 34 negative environmental samples and 613 positive and 546 negative mesocosms samples. Correct identifications, cell counts and discrimination were possible in 100% of the laboratory samples. The sensitivity of the system with environmental and environmental-like samples varied between 91% to 94% and 99.5% discrimination between other bacteria or particles. Based on the absolute correlation values in red, green and blue components of the polychromatic V. cholerae 01 images (RGB channels), the algorithm to count and identify it correlated well with the peaks in the green channel output and were absent in both the red and blue channels. The discrimination criterion correlated well with the peaks present in the red and blue channels. We conclude that digital color correlation system is an useful and highly reliable tool to identify and count V. cholerae 01 in laboratory and environmental samples.info:eu-repo/semantics/openAccessUniversidad de Valparaíso. Facultad de Ciencias del MarRevista de biología marina y oceanografía v.41 n.1 20062006-07-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-19572006000100010en10.4067/S0718-19572006000100010
institution Scielo Chile
collection Scielo Chile
language English
topic Identification
digital systems
bacteria
spellingShingle Identification
digital systems
bacteria
Mouriño-Pérez,Rosa R
Alvarez-Borrego,Josué
Gallardo-Escárate,Cristián
Digital color correlation for the recognition of Vibrio cholerae 01 in laboratory and environmental samples
description In general, direct counts are more reflective of microbial abundance than plate counts. Microbiological techniques developed to recognize and count microorganisms in natural systems have had problems with reliability. Different methods frequently give different results for the enumeration of a specific organism. For direct microscopic examination of bacteria, automated digital systems represent a possible improvement in the identification and counting of microorganisms, eliminating observer bias, reducing costs and analysis time. A computational program was developed to evaluate the utility of coherent digital systems with color correlation for the recognition of Vibrio cholerae 01 in laboratory cultures and environmental samples stained with fluorescent monoclonal antibody. We tested 94 positive and 115 negative laboratory samples and, 33 positive and 34 negative environmental samples and 613 positive and 546 negative mesocosms samples. Correct identifications, cell counts and discrimination were possible in 100% of the laboratory samples. The sensitivity of the system with environmental and environmental-like samples varied between 91% to 94% and 99.5% discrimination between other bacteria or particles. Based on the absolute correlation values in red, green and blue components of the polychromatic V. cholerae 01 images (RGB channels), the algorithm to count and identify it correlated well with the peaks in the green channel output and were absent in both the red and blue channels. The discrimination criterion correlated well with the peaks present in the red and blue channels. We conclude that digital color correlation system is an useful and highly reliable tool to identify and count V. cholerae 01 in laboratory and environmental samples.
author Mouriño-Pérez,Rosa R
Alvarez-Borrego,Josué
Gallardo-Escárate,Cristián
author_facet Mouriño-Pérez,Rosa R
Alvarez-Borrego,Josué
Gallardo-Escárate,Cristián
author_sort Mouriño-Pérez,Rosa R
title Digital color correlation for the recognition of Vibrio cholerae 01 in laboratory and environmental samples
title_short Digital color correlation for the recognition of Vibrio cholerae 01 in laboratory and environmental samples
title_full Digital color correlation for the recognition of Vibrio cholerae 01 in laboratory and environmental samples
title_fullStr Digital color correlation for the recognition of Vibrio cholerae 01 in laboratory and environmental samples
title_full_unstemmed Digital color correlation for the recognition of Vibrio cholerae 01 in laboratory and environmental samples
title_sort digital color correlation for the recognition of vibrio cholerae 01 in laboratory and environmental samples
publisher Universidad de Valparaíso. Facultad de Ciencias del Mar
publishDate 2006
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-19572006000100010
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