Dresden 2026 – scientific programme

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CPP: Fachverband Chemische Physik und Polymerphysik

CPP 43: Biomaterials and Biopolymers (joint session BP/CPP)

CPP 43.10: Talk

Thursday, March 12, 2026, 12:15–12:30, BAR/SCHÖ

Functionally Connecting High- and Low-Density Neuronal Networks Using 3D-Nanoprinted Structures — •Emma Wollesen, Malte Siegmund, Tobias Müller, Josephine Hoppe, Robert Zierold, and Robert Blick — Center for Hybrid Nanostructures, University of Hamburg, 22761 Hamburg, Germany

Tracing the propagation of interneural communication from high- to low-density networks is essential for exploiting information processing at the single-cell level. Given the multitude of synaptic connections, high-density networks of hiPSC-derived neurons may generate bursts of action potentials, a key communication mode that can be analyzed at the single-cell level in receiving low-density networks. Here, we move toward such a cultivation platform by evaluating 3D nanoprinted (3DN) structures fabricated by two-photon polymerization for their efficiency in facilitating connected high- and low-density networks. We demonstrate the prerequisite formation of hiPSC-derived low-density neuronal networks in tower-shaped 3DN structures. For augmentation with high-density networks, a stomach-shaped structure and connecting elements were fabricated. A minimum structure height of 30 micrometers proved critical for clear network demarcation. For future region-specific chemical stimulation, millimeter-scale structures for media reservoir separation were conceptualized, and fabrication feasibility was confirmed, requiring a 10 micrometer overlap and a suitable shear angle at structure interfaces. These results extend established 3DN platforms for low-density networks and support the integration of neural networks into Brain-on-a-Chip applications.

Keywords: hiPSC-derived neurons; 3D Nanoprinting; 3D cell culture structures; neuronal networks; two-photon polymerization