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A method for rapid quantitative assessment of biofilms with biomolecular staining and image analysis

The accumulation of bacteria in surface-attached biofilms can be detrimental to human health, dental hygiene, and many industrial processes. Natural biofilms are soft and often transparent, and they have heterogeneous biological composition and structure over micro- and macroscales. As a result, it...

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Autores principales: Larimer, Curtis, Winder, Eric, Jeters, Robert, Prowant, Matthew, Nettleship, Ian, Addleman, Raymond Shane, Bonheyo, George T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709385/
https://www.ncbi.nlm.nih.gov/pubmed/26643074
http://dx.doi.org/10.1007/s00216-015-9195-z
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author Larimer, Curtis
Winder, Eric
Jeters, Robert
Prowant, Matthew
Nettleship, Ian
Addleman, Raymond Shane
Bonheyo, George T.
author_facet Larimer, Curtis
Winder, Eric
Jeters, Robert
Prowant, Matthew
Nettleship, Ian
Addleman, Raymond Shane
Bonheyo, George T.
author_sort Larimer, Curtis
collection PubMed
description The accumulation of bacteria in surface-attached biofilms can be detrimental to human health, dental hygiene, and many industrial processes. Natural biofilms are soft and often transparent, and they have heterogeneous biological composition and structure over micro- and macroscales. As a result, it is challenging to quantify the spatial distribution and overall intensity of biofilms. In this work, a new method was developed to enhance the visibility and quantification of bacterial biofilms. First, broad-spectrum biomolecular staining was used to enhance the visibility of the cells, nucleic acids, and proteins that make up biofilms. Then, an image analysis algorithm was developed to objectively and quantitatively measure biofilm accumulation from digital photographs and results were compared to independent measurements of cell density. This new method was used to quantify the growth intensity of Pseudomonas putida biofilms as they grew over time. This method is simple and fast, and can quantify biofilm growth over a large area with approximately the same precision as the more laborious cell counting method. Stained and processed images facilitate assessment of spatial heterogeneity of a biofilm across a surface. This new approach to biofilm analysis could be applied in studies of natural, industrial, and environmental biofilms. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00216-015-9195-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-47093852016-01-19 A method for rapid quantitative assessment of biofilms with biomolecular staining and image analysis Larimer, Curtis Winder, Eric Jeters, Robert Prowant, Matthew Nettleship, Ian Addleman, Raymond Shane Bonheyo, George T. Anal Bioanal Chem Research Paper The accumulation of bacteria in surface-attached biofilms can be detrimental to human health, dental hygiene, and many industrial processes. Natural biofilms are soft and often transparent, and they have heterogeneous biological composition and structure over micro- and macroscales. As a result, it is challenging to quantify the spatial distribution and overall intensity of biofilms. In this work, a new method was developed to enhance the visibility and quantification of bacterial biofilms. First, broad-spectrum biomolecular staining was used to enhance the visibility of the cells, nucleic acids, and proteins that make up biofilms. Then, an image analysis algorithm was developed to objectively and quantitatively measure biofilm accumulation from digital photographs and results were compared to independent measurements of cell density. This new method was used to quantify the growth intensity of Pseudomonas putida biofilms as they grew over time. This method is simple and fast, and can quantify biofilm growth over a large area with approximately the same precision as the more laborious cell counting method. Stained and processed images facilitate assessment of spatial heterogeneity of a biofilm across a surface. This new approach to biofilm analysis could be applied in studies of natural, industrial, and environmental biofilms. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00216-015-9195-z) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2015-12-07 2016 /pmc/articles/PMC4709385/ /pubmed/26643074 http://dx.doi.org/10.1007/s00216-015-9195-z Text en © The Author(s) 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Paper
Larimer, Curtis
Winder, Eric
Jeters, Robert
Prowant, Matthew
Nettleship, Ian
Addleman, Raymond Shane
Bonheyo, George T.
A method for rapid quantitative assessment of biofilms with biomolecular staining and image analysis
title A method for rapid quantitative assessment of biofilms with biomolecular staining and image analysis
title_full A method for rapid quantitative assessment of biofilms with biomolecular staining and image analysis
title_fullStr A method for rapid quantitative assessment of biofilms with biomolecular staining and image analysis
title_full_unstemmed A method for rapid quantitative assessment of biofilms with biomolecular staining and image analysis
title_short A method for rapid quantitative assessment of biofilms with biomolecular staining and image analysis
title_sort method for rapid quantitative assessment of biofilms with biomolecular staining and image analysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709385/
https://www.ncbi.nlm.nih.gov/pubmed/26643074
http://dx.doi.org/10.1007/s00216-015-9195-z
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