Evidence map›Paper›PMID 39650339›Full record

ArticleBiofilm2024

Effect of shear rate on early

Lucie Klopffer, Nicolas Louvet, Simon Becker, Jérémy Fix, Cédric Pradalier, Laurence Mathieu

Abstract read
In one paragraph

Article in Biofilm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Lucie KlopfferUniversité de Lorraine, CNRS, LCPME, F-54000, Nancy, France.
Nicolas LouvetUniversité de Lorraine, CNRS, LEMTA, F-54000, Nancy, France.
Simon BeckerUniversité de Lorraine, CNRS, LEMTA, F-54000, Nancy, France.
Jérémy FixUnviversité de Lorraine, CNRS, Centrale Supélec, F-57070, Metz, France.
Cédric PradalierGeorgiaTech Europe, IRL 2958, F-57070, Metz, France.
Laurence MathieuEPHE, PSL, UMR CNRS 7564, LCPME, F-54000, Nancy, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding pioneer bacterial adhesion is essential to appreciate bacterial colonization and consider appropriate control strategies. This bacterial entrapment at the wall is known to be controlled by many physical, chemical or biological factors, including hydrodynamic conditions. However, due to the nature of early bacterial adhesion, i.e. a short and dynamic process with low biomass involved, such investigations are challenging. In this context, our study aimed to evaluate the effect of wall shear rate on the early bacterial adhesion dynamics. Firstly, at the population scale by assessing bacterial colonization kinetics and the mechanisms responsible for wall transfer under shear rates using a time-lapse approach. Secondly, at the individual scale, by implementing an automated image processing method based on deep learning to track each individual pioneer bacterium on the wall. Bacterial adhesion experiments are performed on a model bacterium (

Indexed as

Deep learningEarly bacterial adhesion dynamicsMicrofluidic systemShewanella oneidensisWall shear rate

Identifiers

PMID39650339
PMCPMC11621503

What OpenQuestion holds

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Registered trials

None linked

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.