@article{SamhaberSchottdorfElHadyetal.2016, author = {Samhaber, Robert and Schottdorf, Manuel and El Hady, Ahmed and Br{\"o}king, Kai and Daus, Andreas and Thielemann, Christiane and St{\"u}hmer, Walter and Wolf, Fred}, title = {Growing neuronal islands on multi-electrode arrays using an accurate positioning-μCP device}, series = {Journal of Neuroscience Methods}, volume = {2016}, journal = {Journal of Neuroscience Methods}, number = {257}, doi = {10.1016/j.jneumeth.2015.09.022}, pages = {194 -- 203}, year = {2016}, 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'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 micro-contact 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.}, subject = {Mehrfachelektrode}, language = {en} }