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An open-source robotic platform that enables automated monitoring of replicate biofilm cultivations using optical coherence tomography
The paper introduces a fully automated cultivation and monitoring tool to study biofilm development in replicate experiments operated in parallel. To gain a fundamental understanding of the relation between cultivation conditions and biofilm characteristics (e.g., structural, mechanical) a monitorin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113294/ https://www.ncbi.nlm.nih.gov/pubmed/32238809 http://dx.doi.org/10.1038/s41522-020-0129-y |
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author | Gierl, Luisa Stoy, Kasper Faíña, Andrés Horn, Harald Wagner, Michael |
author_facet | Gierl, Luisa Stoy, Kasper Faíña, Andrés Horn, Harald Wagner, Michael |
author_sort | Gierl, Luisa |
collection | PubMed |
description | The paper introduces a fully automated cultivation and monitoring tool to study biofilm development in replicate experiments operated in parallel. To gain a fundamental understanding of the relation between cultivation conditions and biofilm characteristics (e.g., structural, mechanical) a monitoring setup allowing for the standardization of methods is required. Optical coherence tomography (OCT) is an imaging modality ideal for biofilms since it allows for the monitoring of structure in real time. By integrating an OCT device into the open-source robotic platform EvoBot, a fully automated monitoring platform for investigating biofilm development in several flow cells at once was realized. Different positioning scenarios were tested and revealed that the positioning accuracy is within the optical resolution of the OCT. On that account, a reliable and accurate monitoring of biofilm development by means of OCT has become possible. With this robotic platform, reproducible biofilm experiments including a statistical analysis are achievable with only a small investment of operator time. Furthermore, a number of structural parameters calculated within this study confirmed the necessity to perform replicate biofilm cultivations. |
format | Online Article Text |
id | pubmed-7113294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71132942020-04-06 An open-source robotic platform that enables automated monitoring of replicate biofilm cultivations using optical coherence tomography Gierl, Luisa Stoy, Kasper Faíña, Andrés Horn, Harald Wagner, Michael NPJ Biofilms Microbiomes Article The paper introduces a fully automated cultivation and monitoring tool to study biofilm development in replicate experiments operated in parallel. To gain a fundamental understanding of the relation between cultivation conditions and biofilm characteristics (e.g., structural, mechanical) a monitoring setup allowing for the standardization of methods is required. Optical coherence tomography (OCT) is an imaging modality ideal for biofilms since it allows for the monitoring of structure in real time. By integrating an OCT device into the open-source robotic platform EvoBot, a fully automated monitoring platform for investigating biofilm development in several flow cells at once was realized. Different positioning scenarios were tested and revealed that the positioning accuracy is within the optical resolution of the OCT. On that account, a reliable and accurate monitoring of biofilm development by means of OCT has become possible. With this robotic platform, reproducible biofilm experiments including a statistical analysis are achievable with only a small investment of operator time. Furthermore, a number of structural parameters calculated within this study confirmed the necessity to perform replicate biofilm cultivations. Nature Publishing Group UK 2020-04-01 /pmc/articles/PMC7113294/ /pubmed/32238809 http://dx.doi.org/10.1038/s41522-020-0129-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gierl, Luisa Stoy, Kasper Faíña, Andrés Horn, Harald Wagner, Michael An open-source robotic platform that enables automated monitoring of replicate biofilm cultivations using optical coherence tomography |
title | An open-source robotic platform that enables automated monitoring of replicate biofilm cultivations using optical coherence tomography |
title_full | An open-source robotic platform that enables automated monitoring of replicate biofilm cultivations using optical coherence tomography |
title_fullStr | An open-source robotic platform that enables automated monitoring of replicate biofilm cultivations using optical coherence tomography |
title_full_unstemmed | An open-source robotic platform that enables automated monitoring of replicate biofilm cultivations using optical coherence tomography |
title_short | An open-source robotic platform that enables automated monitoring of replicate biofilm cultivations using optical coherence tomography |
title_sort | open-source robotic platform that enables automated monitoring of replicate biofilm cultivations using optical coherence tomography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113294/ https://www.ncbi.nlm.nih.gov/pubmed/32238809 http://dx.doi.org/10.1038/s41522-020-0129-y |
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