Evidence map›Paper›PMID 25251440›Full record

ArticlePloS one2014

Quantitative stain-free and continuous multimodal monitoring of wound healing in vitro with digital holographic microscopy.

Dominik Bettenworth, Philipp Lenz, Philipp Krausewitz, Markus Brückner, Steffi Ketelhut, Dirk Domagk, Björn Kemper

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
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  3. Digital Holographic Microscopy for Phenotypic Profiling of Adherent Cells.Methods in molecular biology (Clifton, N.J.) · 2026
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  9. Digital Holographic Microscopy to Assess Cell Behavior.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  10. Article
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  12. Observational
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  15. Article
  16. Morphology, Motility, and Cytoskeletal Architecture of Breast Cancer Cells Depend on Keratin 19 and Substrate.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020
    Article
  17. Article
  18. Article
  19. Machine Learning with Optical Phase Signatures for Phenotypic Profiling of Cell Lines.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2019
    Article
  20. Article
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 at 2 institutions in 1 country.

Dominik BettenworthDepartment of Medicine B, University Hospital Münster, Münster, Germany.
Philipp LenzDepartment of Medicine B, University Hospital Münster, Münster, Germany.
Philipp KrausewitzDepartment of Medicine B, University Hospital Münster, Münster, Germany.
Markus BrücknerDepartment of Medicine B, University Hospital Münster, Münster, Germany.
Steffi KetelhutCenter for Biomedical Optics and Photonics, University of Münster, Münster, Germany; Biomedical Technology Center, University of Münster, Münster, Germany.
Dirk DomagkDepartment of Medicine B, University Hospital Münster, Münster, Germany.
Björn KemperCenter for Biomedical Optics and Photonics, University of Münster, Münster, Germany; Biomedical Technology Center, University of Münster, Münster, Germany.
University Hospital Münster · DEUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impaired epithelial wound healing has significant pathophysiological implications in several conditions including gastrointestinal ulcers, anastomotic leakage and venous or diabetic skin ulcers. Promising drug candidates for accelerating wound closure are commonly evaluated in in vitro wound assays. However, staining procedures and discontinuous monitoring are major drawbacks hampering accurate assessment of wound assays. We therefore investigated digital holographic microscopy (DHM) to appropriately monitor wound healing in vitro and secondly, to provide multimodal quantitative information on morphological and functional cell alterations as well as on motility changes upon cytokine stimulation. Wound closure as reflected by proliferation and migration of Caco-2 cells in wound healing assays was studied and assessed in time-lapse series for 40 h in the presence of stimulating epidermal growth factor (EGF) and inhibiting mitomycin c. Therefore, digital holograms were recorded continuously every thirty minutes. Morphological changes including cell thickness, dry mass and tissue density were analyzed by data from quantitative digital holographic phase microscopy. Stimulation of Caco-2 cells with EGF or mitomycin c resulted in significant morphological changes during wound healing compared to control cells. In conclusion, DHM allows accurate, stain-free and continuous multimodal quantitative monitoring of wound healing in vitro and could be a promising new technique for assessment of wound healing.

Indexed as

AlgorithmsCaco-2 CellsCell MovementCell ProliferationCell SizeEpidermal Growth FactorHolographyHumansMicroscopyMitomycinModels, BiologicalNucleic Acid Synthesis InhibitorsReproducibility of ResultsWound HealingEpidermal Growth FactorMitomycinNucleic Acid Synthesis Inhibitors

Identifiers

PMID25251440
PMCPMC4174518
OpenAlexW2075301618

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.