Evidence map›Paper›PMID 33990612›Full record

ArticleNPJ biofilms and microbiomes2021

Biofilm viability checker: An open-source tool for automated biofilm viability analysis from confocal microscopy images.

Sophie E Mountcastle, Nina Vyas, Victor M Villapun, Sophie C Cox, Sara Jabbari, Rachel L Sammons, Richard M Shelton, A Damien Walmsley, Sarah A Kuehne

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

68 citing papers in PubMed.

  1. Article
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  10. UnderstandingMicroorganisms · 2026
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  11. Trimethyl chitosan: Antibacterial activity onJournal of dental sciences · 2026
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  12. Article
  13. Antibiofilm and antibacterial effects ofBiomaterial investigations in dentistry · 2026
    Article
  14. Article
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  16. Heteromultivalent Nanogels as Highly Potent Inhibitors of Pseudomonas Aeruginosa.Angewandte Chemie (International ed. in English) · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sophie E Mountcastle *EPSRC Centre for Doctoral Training in Physical Sciences for Health, University of Birmingham, Edgbaston, Birmingham, UK.ORCID 0000-0002-4759-0437
Nina Vyas *School of Dentistry, University of Birmingham, 5 Mill Pool Way, Birmingham, UK.ORCID 0000-0001-5112-9099
Victor M VillapunSchool of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham, UK.
Sophie C CoxSchool of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham, UK.
Sara JabbariSchool of Mathematics, University of Birmingham, Edgbaston, Birmingham, UK.ORCID 0000-0001-5235-0406
Rachel L SammonsSchool of Dentistry, University of Birmingham, 5 Mill Pool Way, Birmingham, UK.
Richard M SheltonSchool of Dentistry, University of Birmingham, 5 Mill Pool Way, Birmingham, UK.
A Damien WalmsleySchool of Dentistry, University of Birmingham, 5 Mill Pool Way, Birmingham, UK.
Sarah A KuehneSchool of Dentistry, University of Birmingham, 5 Mill Pool Way, Birmingham, UK. s.a.kuehne@bham.ac.uk.ORCID 0000-0001-6790-8433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying biofilm formation on surfaces is challenging because traditional microbiological methods, such as total colony-forming units (CFUs), often rely on manual counting. These are laborious, resource intensive techniques, more susceptible to human error. Confocal laser scanning microscopy (CLSM) is a high-resolution technique that allows 3D visualisation of biofilm architecture. In combination with a live/dead stain, it can be used to quantify biofilm viability on both transparent and opaque surfaces. However, there is little consensus on the appropriate methodology to apply in confocal micrograph processing. In this study, we report the development of an image analysis approach to repeatably quantify biofilm viability and surface coverage. We also demonstrate its use for a range of bacterial species and translational applications. This protocol has been created with ease of use and accessibility in mind, to enable researchers who do not specialise in computational techniques to be confident in applying these methods to analyse biofilm micrographs. Furthermore, the simplicity of the method enables the user to adapt it for their bespoke needs. Validation experiments demonstrate the automated analysis is robust and accurate across a range of bacterial species and an improvement on traditional microbiological analysis. Furthermore, application to translational case studies show the automated method is a reliable measurement of biomass and cell viability. This approach will ensure image analysis is an accessible option for those in the microbiology and biomaterials field, improve current detection approaches and ultimately support the development of novel strategies for preventing biofilm formation by ensuring comparability across studies.

Indexed as

BiofilmsMicroscopy, ConfocalPhenotypeSoftwareBacteriaBacterial Physiological PhenomenaHumansImage Processing, Computer-AssistedROC Curve

Identifiers

PMID33990612
PMCPMC8121819

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.