Commentary on “Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks”

This is an invited review/commentary by the first and last authors of a paper that was the most cited in FEMS Microbiology Letters for 1996, presently showing in excess of 150 citations at Web of Science, and over 200 at Google Scholar. It was the first paper in which diffuse reflectance absorbance...

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Detalles Bibliográficos
Autores principales: Goodacre, Royston, Kell, Douglas B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
FEMS Microbiology Letters 40th Anniversary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399912/
https://www.ncbi.nlm.nih.gov/pubmed/28130368
http://dx.doi.org/10.1093/femsle/fnx018
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author Goodacre, Royston
Kell, Douglas B.
author_facet Goodacre, Royston
Kell, Douglas B.
author_sort Goodacre, Royston
collection PubMed
description This is an invited review/commentary by the first and last authors of a paper that was the most cited in FEMS Microbiology Letters for 1996, presently showing in excess of 150 citations at Web of Science, and over 200 at Google Scholar. It was the first paper in which diffuse reflectance absorbance FT-IR spectroscopy was used with a supervised learning method in the form of artificial neural networks, and showed that this combination could succeed in discriminating a series of closely related, clinically relevant, Gram-positive bacterial strains.
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spelling pubmed-53999122017-04-28 Commentary on “Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks” Goodacre, Royston Kell, Douglas B. FEMS Microbiol Lett FEMS Microbiology Letters 40th Anniversary This is an invited review/commentary by the first and last authors of a paper that was the most cited in FEMS Microbiology Letters for 1996, presently showing in excess of 150 citations at Web of Science, and over 200 at Google Scholar. It was the first paper in which diffuse reflectance absorbance FT-IR spectroscopy was used with a supervised learning method in the form of artificial neural networks, and showed that this combination could succeed in discriminating a series of closely related, clinically relevant, Gram-positive bacterial strains. Oxford University Press 2017-01-27 2017-05 /pmc/articles/PMC5399912/ /pubmed/28130368 http://dx.doi.org/10.1093/femsle/fnx018 Text en © FEMS 2017. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle FEMS Microbiology Letters 40th Anniversary
Goodacre, Royston
Kell, Douglas B.
Commentary on “Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks”
title Commentary on “Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks”
title_full Commentary on “Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks”
title_fullStr Commentary on “Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks”
title_full_unstemmed Commentary on “Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks”
title_short Commentary on “Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks”
title_sort commentary on “rapid identification of streptococcus and enterococcus species using diffuse reflectance-absorbance fourier transform infrared spectroscopy and artificial neural networks”
topic FEMS Microbiology Letters 40th Anniversary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399912/
https://www.ncbi.nlm.nih.gov/pubmed/28130368
http://dx.doi.org/10.1093/femsle/fnx018
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