Evidence map›Paper›PMID 32625028›Full record

ArticleEngineering in life sciences2019

Monitoring of biofilms grown on differentially structured metallic surfaces using confocal laser scanning microscopy.

Daniel Kleine, Jonas Chodorski, Sayani Mitra, Christin Schlegel, Katharina Huttenlochner, Christine Müller-Renno, Joydeep Mukherjee, Christiane Ziegler, Roland Ulber

Open access · bronzeAbstract read
In one paragraph

Article in Engineering in life sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. ACS omega · 2025
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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 at 2 institutions in 2 countries.

Daniel KleineInstitute of Bioprocess Engineering TU Kaiserslautern Kaiserslautern Germany.
Jonas ChodorskiInstitute of Bioprocess Engineering TU Kaiserslautern Kaiserslautern Germany.
Sayani MitraSchool of Environmental Studies Jadavpur University Kolkata India.
Christin SchlegelInstitute of Bioprocess Engineering TU Kaiserslautern Kaiserslautern Germany.
Katharina HuttenlochnerDepartment of Physics and Research Center OPTIMAS TU Kaiserslautern Kaiserslautern Germany.
Christine Müller-RennoDepartment of Physics and Research Center OPTIMAS TU Kaiserslautern Kaiserslautern Germany.
Joydeep MukherjeeSchool of Environmental Studies Jadavpur University Kolkata India.
Christiane ZieglerDepartment of Physics and Research Center OPTIMAS TU Kaiserslautern Kaiserslautern Germany.
Roland UlberInstitute of Bioprocess Engineering TU Kaiserslautern Kaiserslautern Germany.ORCID https://orcid.org/0000-0002-7674-0967
University of Kaiserslautern · DEJadavpur University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging of biofilms on opaque surfaces is a challenge presented to researchers especially considering pathogenic bacteria, as those typically grow on living tissue, such as mucosa and bone. However, they can also grow on surfaces used in industrial applications such as food production, acting as a hindrance to the process. Thus, it is important to understand bacteria better in the environment they actually have relevance in. Stainless steel and titanium substrata were line structured and dotted surface topographies for titanium substrata were prepared to analyze their effects on biofilm formation of a constitutively green fluorescent protein (GFP)-expressing

Indexed as

biofilmflow cellmicrostructurestainless steeltitanium

Identifiers

PMID32625028
PMCPMC6999451
OpenAlexW2944349852

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.