Ikuro Suzuki

This paper introduces ultra-high-density CMOS microelectrodes for field potential imaging in brain organoids, revealing network connectivity, propagation dynamics, and frequency patterns in response to pharmacological agents.

This paper develops a microelectrode array system to simultaneously measure field potential and neurotransmitter release in brain slices, demonstrating its ability to detect glutamate and dopamine release and their dynamic changes following caffeine administration.

This study uses UHD-CMOS-MEA field potential imaging to detect cardiotoxicity in human iPSC-derived cardiomyocytes by analyzing electrophysiological endpoints and drug effects.

This study uses ultra-high-density CMOS-MEA with field potential imaging to map carbachol-induced beta rhythms in acute brain slices, revealing spatial patterns and enhanced beta-band power in hippocampus and cortex.

The paper develops a microphysiological system using human iPSC-derived neurons and morphological deep learning to predict neurotoxicity from drugs, showing effectiveness in detecting synaptic degeneration and chemotherapy-induced neuropathy.

The paper introduces a high-resolution CMOS-MEA technology for single-cell neural activity analysis and demonstrates its application in studying brain circuits and drug responses.

The paper introduces a platform for label-free electrophysiological live-cell imaging of neuronal networks, demonstrating its capabilities with long-term recordings and analysis tools.