Researchers in the Khuri-Yakub laboratory have developed patented two dimensional (2D) capacitive micromachined ultrasonic transducer (CMUT) arrays and methods for fabricating them with direct wafer bonding.
Researchers at Stanford have developed a simplified LC-MS/MS metabolomics analysis method that requires only a single injection to analyze both polar and non-polar molecules with high resolution of isomeric compounds.
Stanford researchers at the Swartz Research Group have engineered an Iron-Iron (Fe-Fe) hydrogenase with as high as 5-fold enhancement in O2 tolerance by introducing cysteine mutations around the electron supply pathway within the enzyme.
Stanford researchers successfully manufactured high quality optical components using commercially available 3D printing. The 3D printed optics were easy to fabricate and inexpensive.
Stanford researchers have developed a lanthanide-doped upconverting nanoparticle (UCNP) that emits very photostable and non-blinking light, and is bright enough to delineate tumor boundaries to the naked eye during surgery.
Stanford researchers have patented a silicon germanium (SiGe) electroabsorption modulator that can operate well in excess of 10 Gbps and is entirely compatible with Silicon (Si) complementary metal-oxide semiconductor (CMOS) integrated circuit fabrication.
Stanford researchers have developed two related inventions which advance the state-of-the-art of CMUT's (capacitive micromachined ultrasonic transducers).
Researchers in Prof. Shanhui Fan's laboratory have invented a thermal extraction device that is designed to enhance power emission from thermal radiators up to 10x compared to conventional structures.
Stanford researchers have patented a fabrication process for monolithic integration of different epitaxial materials on the same substrate for improved coupling of optoelectronic devices.
Researchers in Prof. Julia Salzman's laboratory have developed an efficient statistically driven tool to improve the accuracy of biomolecules in samples that have a wide range of concentrations.
Stanford inventors have developed a deep learning framework that is able to label individual points from 3D Point Clouds that are acquired by various sensors (RGBD sensors, LIDAR sensors, etc.). This framework obtains a point-level fine-grained labeling of 3D Scenes.
Researchers in the Collaborative Haptics and Robotics in Medicine Lab at Stanford University have patented a haptic device that simulates a stroking sensation.