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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
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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. |
format | Online Article Text |
id | pubmed-4709385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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