Organisation von Gehirnzellen auf nanostrukturierten Materialien

Abstract

Brain-on-a-chip devices offer great potential to study function and disease of the brain. We employ machine-learning algorithms in combination with fluorescence imaging and adhesion studies of neuronal cells to access the biocompatibility of electrode materials. Multielectrode arrays of nanocolumnar titanium nitride comprise improved electric properties and cell-surface interaction compared to conventional electrode materials important for cell stimulation.