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Selective Optical Imaging for Detection of Bacterial Biofilms in Tissues

Significance: The development of an imaging technique to accurately identify biofilm regions on tissues and in wounds is crucial for the implementation of precise surface-based treatments, leading to better patient outcomes and reduced chances of infection. Aim: The goal of this study was to develop...

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Autores principales: Okebiorun, Michael, Oberbeck, Cody, Waite, Cameron, Clark, Samuel, Miller, Dalton, Barney Smith, Elisa H., Cornell, Kenneth A., Browning, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455256/
https://www.ncbi.nlm.nih.gov/pubmed/37623692
http://dx.doi.org/10.3390/jimaging9080160
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author Okebiorun, Michael
Oberbeck, Cody
Waite, Cameron
Clark, Samuel
Miller, Dalton
Barney Smith, Elisa H.
Cornell, Kenneth A.
Browning, Jim
author_facet Okebiorun, Michael
Oberbeck, Cody
Waite, Cameron
Clark, Samuel
Miller, Dalton
Barney Smith, Elisa H.
Cornell, Kenneth A.
Browning, Jim
author_sort Okebiorun, Michael
collection PubMed
description Significance: The development of an imaging technique to accurately identify biofilm regions on tissues and in wounds is crucial for the implementation of precise surface-based treatments, leading to better patient outcomes and reduced chances of infection. Aim: The goal of this study was to develop an imaging technique that relies on selective trypan blue (TB) staining of dead cells, necrotic tissues, and bacterial biofilms, to identify biofilm regions on tissues and wounds. Approach: The study explored combinations of ambient multi-colored LED lights to obtain maximum differentiation between stained biofilm regions and the underlying chicken tissue or glass substrate during image acquisition. The TB imaging results were then visually and statistically compared to fluorescence images using a shape similarity measure. Results: The comparisons between the proposed TB staining method and the fluorescence standard used to detect biofilms on tissues and glass substrates showed up to 97 percent similarity, suggesting that the TB staining method is a promising technique for identifying biofilm regions. Conclusions: The TB staining method demonstrates significant potential as an effective imaging technique for the identification of fluorescing and non-fluorescing biofilms on tissues and in wounds. This approach could lead to improved precision in surface-based treatments and better patient outcomes.
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spelling pubmed-104552562023-08-26 Selective Optical Imaging for Detection of Bacterial Biofilms in Tissues Okebiorun, Michael Oberbeck, Cody Waite, Cameron Clark, Samuel Miller, Dalton Barney Smith, Elisa H. Cornell, Kenneth A. Browning, Jim J Imaging Article Significance: The development of an imaging technique to accurately identify biofilm regions on tissues and in wounds is crucial for the implementation of precise surface-based treatments, leading to better patient outcomes and reduced chances of infection. Aim: The goal of this study was to develop an imaging technique that relies on selective trypan blue (TB) staining of dead cells, necrotic tissues, and bacterial biofilms, to identify biofilm regions on tissues and wounds. Approach: The study explored combinations of ambient multi-colored LED lights to obtain maximum differentiation between stained biofilm regions and the underlying chicken tissue or glass substrate during image acquisition. The TB imaging results were then visually and statistically compared to fluorescence images using a shape similarity measure. Results: The comparisons between the proposed TB staining method and the fluorescence standard used to detect biofilms on tissues and glass substrates showed up to 97 percent similarity, suggesting that the TB staining method is a promising technique for identifying biofilm regions. Conclusions: The TB staining method demonstrates significant potential as an effective imaging technique for the identification of fluorescing and non-fluorescing biofilms on tissues and in wounds. This approach could lead to improved precision in surface-based treatments and better patient outcomes. MDPI 2023-08-15 /pmc/articles/PMC10455256/ /pubmed/37623692 http://dx.doi.org/10.3390/jimaging9080160 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Okebiorun, Michael
Oberbeck, Cody
Waite, Cameron
Clark, Samuel
Miller, Dalton
Barney Smith, Elisa H.
Cornell, Kenneth A.
Browning, Jim
Selective Optical Imaging for Detection of Bacterial Biofilms in Tissues
title Selective Optical Imaging for Detection of Bacterial Biofilms in Tissues
title_full Selective Optical Imaging for Detection of Bacterial Biofilms in Tissues
title_fullStr Selective Optical Imaging for Detection of Bacterial Biofilms in Tissues
title_full_unstemmed Selective Optical Imaging for Detection of Bacterial Biofilms in Tissues
title_short Selective Optical Imaging for Detection of Bacterial Biofilms in Tissues
title_sort selective optical imaging for detection of bacterial biofilms in tissues
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455256/
https://www.ncbi.nlm.nih.gov/pubmed/37623692
http://dx.doi.org/10.3390/jimaging9080160
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