An automated microdrop delivery system for neuronal network patterning on microelectrode arrays

Area of Science:

• Neuroscience
• Bioengineering
• Materials Science

Background:

• Cultured neurons on microelectrode arrays (MEAs) are crucial for studying neural networks.
• Precisely controlling neuronal network architecture is challenging but essential for understanding network dynamics.

Purpose of the Study:

• To present a novel automated microdrop delivery technique for creating defined, interconnected neuronal sub-populations on MEAs.
• To demonstrate the feasibility of designing and functionally studying specific neuronal network architectures.

Main Methods:

• Utilized an automated microdrop system to deposit sub-nanoliter volumes of adhesion molecules, guiding neuronal growth.
• Engineered spatially distributed neuronal ensembles with controlled architectures.
• Performed electrophysiological recordings (spontaneous and evoked activity) to assess network functionality.

Main Results:

• Successfully created functionally interconnected neuronal clusters with defined architectures on MEAs.
• Demonstrated the system's capability for easily designing and studying diverse neuronal network structures.
• Achieved a deposition rate of approximately 30 drops/min, a mean drop diameter of 147 micrometers, and cell survival up to 4-5 weeks.

Conclusions:

• The automated microdrop technique provides a robust platform for building and investigating structured neuronal networks.
• This approach facilitates systematic studies on the relationship between network structure and network dynamics.
• The system allows for precise control over neuronal network design, enabling advanced neuroscience research.