Evidence map›Paper›PMID 41446725›Full record

ArticleiScience2025

Scratching in style: 3D printers as plotters for automated and complex wound-healing assays.

Hanjo Köppe, Magnus G Richert, Debora Singer, Jorn Köppe, Mattes Köppe, Mladen Tzvetkov, Henry W S Schroeder, Sander Bekeschus, Sandra Bien-Möller

Abstract read
In one paragraph

Article in iScience, 2025. 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

9 authors.

Hanjo KöppeDepartment of General Pharmacology, University Medicine Greifswald, 17475 Greifswald, Germany.
Magnus G RichertTechnical University of Darmstadt, 64277 Darmstadt, Germany.
Debora SingerZIK Plasmatis, Leibniz Institute for Plasma Science and Technology (INP), 17489 Greifswald, Germany.
Jorn KöppeTechnical University of Applied Sciences Lübeck, 23562 Lübeck, Germany.
Mattes KöppeDrägerwerk AG & Co. KGaA, 23558 Lübeck, Germany.
Mladen TzvetkovDepartment of General Pharmacology, University Medicine Greifswald, 17475 Greifswald, Germany.
Henry W S SchroederDepartment of Neurosurgery, University Medicine Greifswald, 17475 Greifswald, Germany.
Sander BekeschusZIK Plasmatis, Leibniz Institute for Plasma Science and Technology (INP), 17489 Greifswald, Germany.
Sandra Bien-MöllerDepartment of General Pharmacology, University Medicine Greifswald, 17475 Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scratch wound healing assays remain widely used 2D migration assays to study the behavior of cultured cells. They are easy and cost-effective, yet poorly standardized in geometric dimensions (e.g., scratch width and line straightness), especially when performed manually. Conventional assays typically apply a single scratch, restricting analysis to a subset of the cells in a well rather than the full population. Commercial "scratch-makers" exist but are expensive and lack support for complex patterns. Complex scratch formations would enable assessment across wells and evaluation of migration-associated protein expression. Accordingly, we developed an open-source, cost-effective method that repurposes widely available 3D printers as 2D plotters to generate repeatable scratch dimensions with different pipette tips. The system operates under culture-hood conditions across common plate formats from multiple manufacturers. We validate reproducible and consistent scratch parameters and demonstrate how programmable patterns can broaden

Indexed as

Biological sciencesEngineeringMaterials science

Identifiers

PMID41446725
PMCPMC12723282

What OpenQuestion holds

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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.