Evidence map›Paper›PMID 30158655›Full record

ArticleScientific reports2018

A Sensitive Thresholding Method for Confocal Laser Scanning Microscope Image Stacks of Microbial Biofilms.

Ting L Luo, Marisa C Eisenberg, Michael A L Hayashi, Carlos Gonzalez-Cabezas, Betsy Foxman, Carl F Marrs, Alexander H Rickard

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Review
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  8. Review
  9. DNase inhibits early biofilm formation inFrontiers in cellular and infection microbiology · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Testing Anti-Biofilm Polymeric Surfaces: Where to Start?International journal of molecular sciences · 2019
    Review
  14. Review
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

7 authors.

Ting L LuoDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Marisa C EisenbergDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Michael A L HayashiDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Carlos Gonzalez-CabezasDepartment of Cariology, Restorative Sciences and Endodontics, University of Michigan School of Dentistry, Ann Arbor, MI, USA.
Betsy FoxmanDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0001-6682-238X
Carl F MarrsDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Alexander H RickardDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA. alexhr@umich.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilms are surface-attached microbial communities whose architecture can be captured with confocal microscopy. Manual or automatic thresholding of acquired images is often needed to help distinguish biofilm biomass from background noise. However, manual thresholding is subjective and current automatic thresholding methods can lead to loss of meaningful data. Here, we describe an automatic thresholding method designed for confocal fluorescent signal, termed the biovolume elasticity method (BEM). We evaluated BEM using confocal image stacks of oral biofilms grown in pooled human saliva. Image stacks were thresholded manually and automatically with three different methods; Otsu, iterative selection (IS), and BEM. Effects on biovolume, surface area, and number of objects detected indicated that the BEM was the least aggressive at removing signal, and provided the greatest visual and quantitative acuity of single cells. Thus, thresholding with BEM offers a sensitive, automatic, and tunable method to maintain biofilm architectural properties for subsequent analysis.

Indexed as

AutomationBiofilmsHumansImage Processing, Computer-AssistedMicroscopy, ConfocalSaliva

Identifiers

PMID30158655
PMCPMC6115396

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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.