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Engineering microscale systems for fully autonomous intracellular neural interfaces.

Swathy Sampath Kumar1, Michael S Baker2, Murat Okandan3

  • 1Biomedical Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287 USA.

Microsystems & Nanoengineering
|September 27, 2021
PubMed
Summary
This summary is machine-generated.

A new robotic, MEMS-based system enables automated intracellular recordings from single neurons. This technology reduces system size and increases scalability for future neuroscience research.

Keywords:
BiosensorsElectrical and electronic engineering

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Area of Science:

  • Neuroscience
  • Bioengineering
  • Robotics

Background:

  • Conventional intracellular recording systems are bulky, limiting scalability and requiring significant user skill.
  • Current methods for intracellular recordings are tedious and difficult to scale for high-throughput analysis.

Purpose of the Study:

  • To develop a robotic, Micro-Electro-Mechanical Systems (MEMS)-based intracellular recording system.
  • To overcome limitations of size, scalability, and manual operation in intracellular recordings.

Main Methods:

  • Integration of novel microscale, glass-polysilicon penetrating electrodes.
  • Utilization of electrothermal microactuators for precise electrode positioning.
  • Implementation of a closed-loop control algorithm for autonomous electrode navigation.

Main Results:

  • Demonstrated autonomous intracellular recordings in *Aplysia californica* neurons with consistent resting and action potentials.
  • Achieved penetration success rates and recording quality comparable to conventional systems.
  • Preliminary successful in vivo intracellular recordings in anesthetized rats.

Conclusions:

  • The MEMS-based system offers reduced size for potential use in behaving animals.
  • Presents a scalable approach for multi-channel intracellular recordings.
  • Provides a viable method for fully automated intracellular recording measurements.