Related Experiment Video
Updated: Jun 13, 2026
09:44
Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array
Published on: March 8, 2024
Parallel multipoint recording of aligned and cultured neurons on micro channel array toward cellular network analysis
Wataru Tonomura1, Hiroyuki Moriguchi, Yasuhiko Jimbo
1Ritsumeikan Global Innovation Research Organization, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577, Japan. wtr10083@fc.ritsumei.ac.jp
Biomedical Microdevices
|April 24, 2010
Summary
This study introduces an advanced Micro Channel Array (MCA) for precise neuronal network analysis. The MCA enables simultaneous, high-quality electrophysiological recordings, improving cellular selectivity and signal stability.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Electrophysiology
Background:
- Neuronal network analysis is crucial for understanding brain function.
- Existing Micro Electrode Arrays (MEAs) face challenges in achieving optimal signal-to-noise ratio for extracellular recordings.
- Improved cell-electrode contact is essential for stable and selective electrophysiological measurements.
Purpose of the Study:
- To develop and characterize an advanced Micro Channel Array (MCA) for simultaneous, multipoint electrophysiological recordings of neuronal networks.
- To enhance cellular selectivity and signal stability in extracellular recordings.
- To establish an effective device for cellular network analysis.
Main Methods:
- Design and fabrication of a novel Micro Channel Array (MCA) with integrated, electrically isolated electrodes.
- Culturing of hippocampal neurons on the developed MCA.
- Utilizing micro channels for cell clamping and enhanced cell-electrode contact.
- Performing extracellular recordings of spontaneous and evoked spike potentials.
Main Results:
- Successful fabrication and implementation of the MCA.
- Demonstrated ability to record spontaneous and evoked spike potentials from cultured hippocampal neurons.
- Achieved stable electrophysiological recordings through reliable cell clamping.
- Validated the MCA's effectiveness for multipoint neuronal network analysis.
Conclusions:
- The developed MCA is an effective device for analyzing neuronal networks.
- The MCA design enhances cellular selectivity and improves signal quality for electrophysiological recordings.
- This technology offers a promising platform for advanced neuroscience research and cellular network analysis.
