As part of a comprehensive optofluidic platform, researchers at Stanford have developed an integrated dynamic flat-optics system enabling microlens-free metasurface planar light-field displays.
As part of a comprehensive optofluidic platform, researchers at Stanford have developed an integrated dynamic flat-optics system that supports unprecedented compact configurations.
As part of a comprehensive optofluidic platform, researchers at Stanford have developed a new type of reflective display technology for achieving transparent displays, which allow users to receive visual information from the external world through the display at the same time.
Stanford researchers from the Khuri-Yakub group have designed an improved, high spatial resolution ultrasonic neuromodulation device that implements chip waveform instead of continuous wave PIRF.
Measurement of dissolved CO2 has critical applications in healthcare monitoring and consumer goods quality control, yet is difficult to measure directly.
Researchers at Stanford have modified the spatial construction of two-wave interferometers to enable high-precision acoustic sensors and accelerometers produced at scale.
Stanford researchers developed a programmable tuning circuit for dynamic, all-electronic tuning of the resonance frequency, sensitivity, and bandwidth of ultrasound transducers.
Using advances in flexible electronics, researchers at Stanford have developed a stretchable strain sensor for monitoring solid tumor size progression on or near the skin in real time.
Ultrasound technology is a safe, high-resolution, and cost-efficient tool for imaging. Other modalities, such as MRI or CT, may require the use of anesthesia. This makes it difficult to image pediatric patients and patients sensitive to anesthesia.
One of the largest challenges for soft robotics is obtaining adequate feedback control while forming dexterous movements. Here Stanford researchers have developed a patterning technique using a UV laser on metalized plastic film.
A Stanford bioengineering researcher developed an optical sensor based muscle and body motion tracking system for use with prosthetics and wearable human machine interfaces.
Inspired by the "last inch" problem in robotic manipulation, the Kennedy group at Stanford has developed a tactile sensor and calibration method for machine-learning-based robotic manipulation.