@article {Samhaber026401, author = {Robert Samhaber and Manuel Schottdorf and Ahmed El Hady and Kai Br{\"o}king and Andreas Daus and Christiane Thielemann and Walter St{\"u}hmer and Fred Wolf}, title = {Growing neuronal islands on multi-electrode arrays using an Accurate Positioning-μCP device}, elocation-id = {026401}, year = {2015}, doi = {10.1101/026401}, publisher = {Cold Spring Harbor Laboratory}, abstract = {Background Multi-electrode arrays (MEAs) allow non-invasive multi-unit recording in-vitro from cultured neuronal networks. For sufficient neuronal growth and adhesion on such MEAs, substrate preparation is required. Plating of dissociated neurons on a uniformly prepared MEA{\textquoteright}s surface results in the formation of spatially extended random networks with substantial inter-sample variability. Such cultures are not optimally suited to study the relationship between defined structure and dynamics in neuronal networks. To overcome these shortcomings, neurons can be cultured with pre-defined topology by spatially structured surface modification. Spatially structuring a MEA surface accurately and reproducibly with the equipment of a typical cell-culture laboratory is challenging.New Method In this paper, we present a novel approach utilizing microcontact printing (μCP) combined with a custom-made device to accurately position patterns on MEAs with high precision. We call this technique AP-μCP (accurate positioning micro-contact printing).Comparison with existing Methods Other approaches presented in the literature using μCP for patterning either relied on facilities or techniques not readily available in a standard cell culture laboratory, or they did not specify means of precise pattern positioning.Conclusion Here we present a relatively simple device for reproducible and precise patterning in a standard cell-culture laboratory setting. The patterned neuronal islands on MEAs provide a basis for high throughput electrophysiology to study the dynamics of single neurons and neuronal networks.}, URL = {https://www.biorxiv.org/content/early/2015/09/08/026401}, eprint = {https://www.biorxiv.org/content/early/2015/09/08/026401.full.pdf}, journal = {bioRxiv} }