Automated navigation of a glass micropipette on a high-density microelectrode array

Area of Science:

• Neuroscience
• Electrophysiology
• Bioengineering

Background:

• High-density microelectrode arrays (HDMEAs) enable long-term, multi-neuron extracellular recordings.
• Patch clamp offers detailed intracellular recordings but is limited in duration and scope.
• Combining these techniques promises comprehensive neuronal activity monitoring.

Purpose of the Study:

• To develop an automated system for precise glass micropipette navigation.
• To integrate HDMEA localization with automated pipette steering.
• To facilitate simultaneous intra- and extracellular neuronal recordings.

Main Methods:

• Implementation of an automated system using LabVIEW software.
• Utilizing HDMEAs for non-optical localization and guidance of a glass micropipette.
• Developing algorithms for automated target identification and pipette movement.

Main Results:

• Successful automated localization and movement of a glass micropipette to a user-defined target.
• Demonstration of a key component for automated in vitro neuronal patching.
• Validation of HDMEA-guided pipette steering without microscopy.

Conclusions:

• The developed automated system is a significant step towards fully automated patch-clamp electrophysiology.
• This technology can enhance the efficiency and accessibility of detailed neuronal recordings.
• Future work will focus on complete automated pipette navigation for in vitro neuronal patching.