2021
DOI: 10.1038/s41564-020-00817-4
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Quantitative image analysis of microbial communities with BiofilmQ

Abstract: 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-… Show more

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Cited by 197 publications
(185 citation statements)
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“…Detection and quantification of fluorescent foci. Detection and quantification of foci was performed by first segmenting the images using the software BiofilmQ 94 . After segmentation, fluorescent foci were detected using a customized script within BiofilmQ v0.1.3.…”
Section: Methodsmentioning
confidence: 99%
“…Detection and quantification of fluorescent foci. Detection and quantification of foci was performed by first segmenting the images using the software BiofilmQ 94 . After segmentation, fluorescent foci were detected using a customized script within BiofilmQ v0.1.3.…”
Section: Methodsmentioning
confidence: 99%
“…Over the past two decades, many researchers have attempted to tackle the problem of automated analysis of biofilm micrographs, including developing commercial and free software tools 29 31 . Depending on the size of the cells, the quality and resolution of the image, and thickness or density of the biofilm, two approaches to automated quantification can be taken: (1) by detecting and counting discrete objects or cells or (2) by making assumptions regarding the manner in which the properties of the entire image relate to the biofilm characteristics.…”
Section: Discussionmentioning
confidence: 99%
“…Some of the more frequently used software packages developed specifically for biofilm analysis, such as COMSTAT and BiofilmQ, have an easy to use graphical user interface that make them popular for use. However, one main drawback of both of these packages is that they do not have options to apply filters and morphological operators as with those used in the current study 29 , 31 , which allow for accurate detection of the bacteria in the image whilst neglecting EPS and non-specific staining, commonly found in biofilms. In addition, these software packages rely on the user deciding if pre-processing of the images is necessary, deciding which operators to apply and implementing any pre-processing, which is difficult for those with no prior knowledge of image analysis.…”
Section: Discussionmentioning
confidence: 99%
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“…Fortunately, over the last decade, methods of empirical lineage tracking have strongly improved through advances in single-cell microscopy [126][127][128], image analysis [129], singlecell sequencing [51,130,131], and genome editing [132,133], thereby opening up the possibility of studying primitive cell collectives across a wide range of organisms [126]. For example, the stochastic and combinatorial expression of fluorescent proteins makes it possible to trace up to approximately 100 lineages without interrupting the spatial configuration of cells [134].…”
Section: Plos Biologymentioning
confidence: 99%