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A low-cost uniaxial cell stretcher for six parallel wells
Delf Kah1, Alexander Winterl1, Magdalena Přechová2
1Biophysics Group, Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Hardwarex
|May 2, 2022
Summary
Researchers developed an affordable, open-source 3D-printed cell stretcher to study how mechanical forces affect cells. This device enables detailed analysis of cellular responses, including the Yes-associated protein (YAP) pathway activation.
Area of Science:
- Biotechnology
- Cell Biology
- Mechanical Engineering
Background:
- Cells are continuously exposed to mechanical forces and deformations in various organs.
- Studying cellular responses to mechanical stimuli often involves stretching cells on flexible substrates.
- Existing methods can be costly and lack flexibility for multi-batch studies.
Purpose of the Study:
- To present an open-source, low-cost cell stretcher built from a 3D printer.
- To enable simultaneous stretching of multiple cell culture substrates for comparative studies.
- To investigate the activation of the Yes-associated protein (YAP) mechanotransduction pathway.
Main Methods:
- Construction of a cell stretcher using an Anet A8 3D printer.
- Development of open-source GCode and Python software for precise control.
- Simultaneous stretching of up to six flexible, optically clear substrates.
- Analysis of epithelial cell responses, including YAP pathway activation.
Main Results:
- The 3D-printed cell stretcher successfully mimics dynamic mechanical loading conditions.
- The device allows for simultaneous stretching of multiple substrates, facilitating comparative studies.
- Proof-of-concept experiments confirmed YAP pathway activation in response to increased cytoskeletal tension.
Conclusions:
- The open-source cell stretcher is a cost-effective tool for studying cell mechanics.
- The device is suitable for investigating complex mechano-biological processes and signaling pathways.
- This technology supports multi-batch biological studies and microscopic image analysis.

