The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Quantitative image analysis of microbial communities with BiofilmQ
Open accessAbstract
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.
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Cites
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Physiological heterogeneity in biofilms
Stewart, P. S., & Franklin, M. J. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro1838 · Cited by 2,327
Picture Thresholding Using an Iterative Selection Method
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Quantification of biofilm structures by the novel computer program comstat
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Cited by
Mountcastle, S. E., Vyas, N., Villapun, V. M., Cox, S. C., Jabbari, S., Sammons, R. L., Shelton, R. M., Walmsley, A. D., & Kuehne, S. A. (2021) · npj Biofilms and Microbiomes · doi:10.1038/s41522-021-00214-7 · Cited by 130
Ren, Z., Jeckel, H., Simon-Soro, A., Xiang, Z., Liu, Y., Cavalcanti, I. M., Xiao, J., Tin, N.-N., Hara, A., Drescher, K., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2209699119 · Cited by 60
Self-citationJelli, E., Ohmura, T., Netter, N., Abt, M., Jiménez‐Siebert, E., Neuhaus, K., Rode, D. K. H., Nadell, C. D., & Drescher, K. (2023) · Molecular Microbiology · doi:10.1111/mmi.15064 · Cited by 48
Self-citationImaging Flow Cytometry to Study Biofilm-Associated Microbial Aggregates
Konieczny, M., Rhein, P., Czaczyk, K., Białas, W., & Juzwa, W. (2021) · Molecules · doi:10.3390/molecules26237096 · Cited by 20
Abeyrathna, D., Ashaduzzaman, M., Malshe, M., Kalimuthu, J., Gadhamshetty, V., Chundi, P., & Subramaniam, M. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.996400 · Cited by 17
Metadata
- Authors
- Hartmann, R., Jeckel, H., Jelli, E., Singh, P. K., Vaidya, S., Bayer, M., Rode, D. K. H., Vidakovic, L., Díaz-Pascual, F., Fong, J. C. N., Dragoš, A., Lamprecht, O., Thöming, J. G., Netter, N., Häussler, S., Nadell, C. D., Sourjik, V., Kovács, Á. T., Yildiz, F. H., & Drescher, K.
- Venue
- Nature Microbiology
- Published
- 2021-01-04
- Volume
- 6
- Issue
- 2
- Pages
- 151-156
- ISSN
- 2058-5276 (ISSN-L)
- OpenAlex
- W3119420969
- Cited by
- 365
- References
- 36
- FWCI
- 15.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Hartmann, R., Jeckel, H., Jelli, E., Singh, P. K., Vaidya, S., Bayer, M., Rode, D. K. H., Vidakovic, L., Díaz-Pascual, F., Fong, J. C. N., Dragoš, A., Lamprecht, O., Thöming, J. G., Netter, N., Häussler, S., Nadell, C. D., Sourjik, V., Kovács, Á. T., Yildiz, F. H., & Drescher, K. (2021). Quantitative image analysis of microbial communities with BiofilmQ. Nature Microbiology. https://doi.org/10.1038/s41564-020-00817-4
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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