Researchers in the Stanford University Power Electronics Research Lab have designed an easy to implement, high-efficiency, high-frequency power amplifier with low voltage stress.
Volumetric contrast-enhanced ultrasound is a new approach to collect 3D imaging data of a contrast signal. So far, analysis of 3D contrast ultrasound has relied on averaging a set of voxels embedded in an ROI or a VOI.
Researchers in the Fan group have developed a method for epitaxial growth of double heterojunction semiconductor diodes capable of suppressing parasitic non-radiative recombination effects.
Stanford researchers at the Liao and Xing Labs have developed and tested a machine learning algorithm for augmented detection of bladder cancer. Machine learning has the potential to enhance medical decision making in cancer detection and image analysis.
Researchers at Stanford have developed a device capable of delivering ultrasonic neuromodulation to defined areas of the brain while simultaneously recording neuronal activity with cell-type specificity.
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 at the Kasevich Lab have developed a module that can attach to any standard optical system or sensor for wide-field, time-resolved imaging.
Stanford researchers have designed a non-invasive, low power ultrasonic neuromodulation device which can target tissue deep in the brain with high spatial-temporal resolution.
Stanford researchers have developed an exceptionally fast, sensitive, and compact X-ray imaging system for distinguishing liquids and other materials in aviation security applications.
Engineers at the Khuri-Yakub Group have designed a non-surgical alternative for treating epilepsy using ultrasonic technology which can detect, localize, and suppress epileptic seizures in epileptic patients.
Stanford researchers have developed a new machine learning method for extracting gait parameters, such as cadence, step length, peak knee flexion, and Gait Deviation Index (GDI), from a single video.
Stanford researchers have proposed a novel, in vivo, real-time epifluorescence imaging method in the second near-infrared region using single-walled carbon nanotubes (SWNTs).
Researchers at the SLAC National Accelerator Laboratory have developed a cost-effective method for using low temperature microwave annealing to create diode termination contacts on silicon sensors.
Stanford researchers in the McNab lab have developed a marker-less neuro-navigation device that only needs to be setup once during the first transcranial magnetic stimulation (TMS) session and by tracking the subjects head, automatically achieves the same accurate coil locatio