Stanford researchers developed a programmable tuning circuit for dynamic, all-electronic tuning of the resonance frequency, sensitivity, and bandwidth of ultrasound transducers.
Stanford engineers have developed an optical modulator to enable low-cost and high spatial-resolution time-of-flight imaging and LiDAR with low-cost standard image sensors.
Researchers in the Arbabian Lab have developed a system that uses a combination of radio frequency (RF) electromagnetic and ultrasound (US) waves to detect, localize, and identify multiple battery-free tags.
Stanford researchers have built a sound powered, wireless medical implant. The implant contains a piezoelectric energy receiver, an integrated circuit chip, and a loop antenna.
Stanford researchers have designed a frequency-multiplexed neural probe architecture that enables massive scaling of electrophysiological recording from neurons.
Researchers in Prof. Amin Arbabian's laboratory have developed a modular RF-Ultrasound architecture to download data, upload data or wirelessly charge devices implanted deep in the body.
Stanford researchers have demonstrated the use of a coherent frequency-domain technique in microwave thermoacoustic imaging, which significantly improves signal-to-noise ratio (SNR) and reduces peak-power requirements without sacrificing resolution or other performance metrics