Scratching in style: 3D printers as plotters for automated and complex wound-healing assays
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 <i>in vitro</i> migration analyses while reducing reliance on commercial devices.
Authors
- Sandra Bien-Möller (ORCID: https://orcid.org/0000-0002-0603-8953)
- Mladen V. Tzvetkov (ORCID: https://orcid.org/0000-0003-1670-5534)
- Sander Bekeschus (ORCID: https://orcid.org/0000-0002-8773-8862)
- Debora Singer (ORCID: https://orcid.org/0000-0003-2335-1607)
- Henry Schroeder (ORCID: https://orcid.org/0009-0000-3275-9167)
- Mattes Köppe
- Hanjo Köppe (ORCID: https://orcid.org/0009-0009-0135-5069)
- Jorn Köppe
- Magnus G. Richert
Institutions
- Universitätsmedizin Greifswald (DE)
- Technische Universität Darmstadt (DE)
- Leibniz Institute for Plasma Science and Technology (DE)
- Technical University of Applied Sciences Lübeck (DE)
- Dräger (Germany) (DE)
- University of Rostock (DE)
Publication Details
- Journal
- iScience
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1016/j.isci.2025.114230
- Primary Topic
- 3D Printing in Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00