Researchers in the Molecular Imaging Instrumentation Laboratory at Stanford University have developed a PET (positron emission tomography) detector and front end readout assembly that can operate in a high field MRI (magnetic resonance imaging) system.
Stanford inventors have developed and fabricated biodegradable and biocompatible polysaccharide hydrogel optical fibers for fiber optic sensing and light transmission in biomedical applications like antigen detection, tracking cellular events, and optogenetics.
Stanford inventors have developed TrueImage, a machine learning algorithm to assess the quality of patient images sent in for telemedicine appointments.
The Zhenan Bao Research Group at Stanford University developed and manufactured a photo-curable, directly patternable, stretchable, and highly conductive polymer that is ideal for bioelectronic applications, and stretchable electronic devices.
Scientists in the Zhenan Bao Research Group at Stanford developed a process for direct photo-patterning of electronic polymers that improves device density of elastic circuits over 100x.
The Zhenan Bao Research Group at Stanford University has designed an intrinsically stretchable polymeric matrix that allows seamless integration with physically crosslinked PEDOT:PSS, while stabilizing its high stretchability, and high conductivity after all necessary fabricat
Remotely operated robotic devices are becoming increasingly important in fields such as medicine, space and field research. However, their widespread application is hampered by distance between the robot and its operator which results in communication delays.
Stanford researchers at the Poon Lab have developed a method for battery-less, short range transmission of data with very low power and very high data rates. It can potentially replace current near field communications (NFC) systems due to these advantages.
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.
Researchers in the Stanford Robotics Lab have developed a dynamically adaptive workspace mapping control method that adjusts remote task resolution to keep haptic-robot (in real-world applications) or haptic-avatar (in virtual environment) interactions within the device works
Researchers in the Stanford Robotics Lab have developed a compact high-fidelity haptic teleoperation system which shows accurate and isotropic behavior in translation and rotation.
Doctors with Stanford Medicine have developed a multi-user, mixed reality medical simulation application. Medical in-situ and simulation training centers cost millions of dollars a year to administer, with limited availability to those in remote areas or the third world.
Stanford researchers have developed a technique to interpret contact events between a human and a device equipped with a force sensor. It can detect and classify distinct touch interactions such as tap, touch, grab, and slip.