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.
Researchers in Prof. Juan Santiago's laboratory have developed a technique to rapidly preconcentrate and capture biological targets with high specificity and efficiency. The process can be used to reduce reaction times for microarray analyses and affinity chromatography.
Stanford researchers have developed a wirelessly powered, fully internal implant which allows for optogenetic control of neurons throughout the nervous system in mammals, and in particular, mice.
Engineers in Prof. Amin Arababian's laboratory have developed a microfluidics system for ultra high-throughput, low-cost, label-free cell detection in liquid biopsies, fetal cell analysis and other applications.