Stanford researchers have developed a novel tomographic technique, cathodoluminescence (CL) spectroscopic tomography, to probe optical properties in 3D with nanometer-scale spatial and spectral resolution.
Stanford University and Samsung researchers have patented a microfluidic-based platform that can rapidly fabricate and characterize Organic Thin Film Transistor (OTFT) arrays composed of solution-processable organic semiconducting polymers.
Stanford researchers in the CamLab have patented a robust, task-space closed-loop controller for continuum manipulators that can be used in constrained environments and does not rely on a model.
Stanford inventors have developed a method that allows for simultaneous 3D imaging with high resolution by using a multifunctional metalens to replace the conventionally used microlens array in light-field imaging.
The performance of most digital systems today is limited more by their communication or interconnection rather than their logic or memory. To increase the entire system's efficacy, the focus is on improving the system's interconnection network.
Researchers in Prof. Michael Genesereth's laboratory have developed "count indexes", a unique indexing scheme to efficiently update run-length encoded columns in column stores.
Stanford researchers have patented an image sensor that overcomes frame rate and power consumption limits for high-speed mega-pixel imaging, and therefore can extend battery life for mobile phone cameras.
An interdisciplinary team of Stanford University researchers have developed a novel interpenetrating polymer network hydrogel that is useful for a wide variety of medical, industrial and personal hygiene applications.
W.E. Moerner and Adam Cohen have patented the Anti-Brownian ELectrokinetic trap (ABEL trap) which can trap, measure, and manipulate sub-micron objects (e.g. single molecules) in solution at ambient temperature.
Researchers in Prof. Zhenan Bao's laboratory have developed a high-performance, self-healing dielectric elastomer that could be used in stretchable electronics or robotic applications.
Stanford researchers have developed a new algorithm for reinforcement learning, which can learn to take good actions with potentially long term consequences in a general unknown complex system.
Stanford researchers developed a strong, flexible, high heat transfer architecture for electronics packaging interfacial material. The resins currently used in electronics packaging are a thermal management bottleneck.
A team of Stanford engineers have developed a fast adaptive optics system for scanning, 3D imaging and sensing with a small (50 µm) multimode fiber (MMF).
Stanford researchers have developed a new technology to create a programmable yet low power processing core targeting imaging systems. This core is built around a 2D-stencil processing data-path.