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Quantitative image analysis of microbial communities with BiofilmQ
Biofilms are microbial communities that represent a highly abundant form of microbial life on Earth. Inside biofilms, phenotypic and genotypic variations occur in three-dimensional space and time; microscopy and quantitative image analysis are therefore crucial for elucidating their functions. Here,...
| Autores principales: | , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840502/ https://www.ncbi.nlm.nih.gov/pubmed/33398098 http://dx.doi.org/10.1038/s41564-020-00817-4 |
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| author | Hartmann, Raimo Jeckel, Hannah Jelli, Eric Singh, Praveen K. Vaidya, Sanika Bayer, Miriam Rode, Daniel K. H. Vidakovic, Lucia Díaz-Pascual, Francisco Fong, Jiunn C. N. Dragoš, Anna Lamprecht, Olga Thöming, Janne G. Netter, Niklas Häussler, Susanne Nadell, Carey D. Sourjik, Victor Kovács, Ákos T. Yildiz, Fitnat H. Drescher, Knut |
| author_facet | Hartmann, Raimo Jeckel, Hannah Jelli, Eric Singh, Praveen K. Vaidya, Sanika Bayer, Miriam Rode, Daniel K. H. Vidakovic, Lucia Díaz-Pascual, Francisco Fong, Jiunn C. N. Dragoš, Anna Lamprecht, Olga Thöming, Janne G. Netter, Niklas Häussler, Susanne Nadell, Carey D. Sourjik, Victor Kovács, Ákos T. Yildiz, Fitnat H. Drescher, Knut |
| author_sort | Hartmann, Raimo |
| collection | PubMed |
| description | Biofilms are microbial communities that represent a highly abundant form of microbial life on Earth. Inside biofilms, phenotypic and genotypic variations occur in three-dimensional space and time; microscopy and quantitative image analysis are therefore crucial for elucidating their functions. Here, we present BiofilmQ—a comprehensive image cytometry software tool for the automated and high-throughput quantification, analysis and visualization of numerous biofilm-internal and whole-biofilm properties in three-dimensional space and time. |
| format | Online Article Text |
| id | pubmed-7840502 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-78405022021-02-04 Quantitative image analysis of microbial communities with BiofilmQ Hartmann, Raimo Jeckel, Hannah Jelli, Eric Singh, Praveen K. Vaidya, Sanika Bayer, Miriam Rode, Daniel K. H. Vidakovic, Lucia Díaz-Pascual, Francisco Fong, Jiunn C. N. Dragoš, Anna Lamprecht, Olga Thöming, Janne G. Netter, Niklas Häussler, Susanne Nadell, Carey D. Sourjik, Victor Kovács, Ákos T. Yildiz, Fitnat H. Drescher, Knut Nat Microbiol Brief Communication Biofilms are microbial communities that represent a highly abundant form of microbial life on Earth. Inside biofilms, phenotypic and genotypic variations occur in three-dimensional space and time; microscopy and quantitative image analysis are therefore crucial for elucidating their functions. Here, we present BiofilmQ—a comprehensive image cytometry software tool for the automated and high-throughput quantification, analysis and visualization of numerous biofilm-internal and whole-biofilm properties in three-dimensional space and time. Nature Publishing Group UK 2021-01-04 2021 /pmc/articles/PMC7840502/ /pubmed/33398098 http://dx.doi.org/10.1038/s41564-020-00817-4 Text en © The Author(s) 2021 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 | Brief Communication Hartmann, Raimo Jeckel, Hannah Jelli, Eric Singh, Praveen K. Vaidya, Sanika Bayer, Miriam Rode, Daniel K. H. Vidakovic, Lucia Díaz-Pascual, Francisco Fong, Jiunn C. N. Dragoš, Anna Lamprecht, Olga Thöming, Janne G. Netter, Niklas Häussler, Susanne Nadell, Carey D. Sourjik, Victor Kovács, Ákos T. Yildiz, Fitnat H. Drescher, Knut Quantitative image analysis of microbial communities with BiofilmQ |
| title | Quantitative image analysis of microbial communities with BiofilmQ |
| title_full | Quantitative image analysis of microbial communities with BiofilmQ |
| title_fullStr | Quantitative image analysis of microbial communities with BiofilmQ |
| title_full_unstemmed | Quantitative image analysis of microbial communities with BiofilmQ |
| title_short | Quantitative image analysis of microbial communities with BiofilmQ |
| title_sort | quantitative image analysis of microbial communities with biofilmq |
| topic | Brief Communication |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840502/ https://www.ncbi.nlm.nih.gov/pubmed/33398098 http://dx.doi.org/10.1038/s41564-020-00817-4 |
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