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Stanford researchers in the SHAPE lab have patented a virtual reality, haptic device called 'Grabity' that simulates weight, stiffness, and torque.

Summary: Stanford researchers at the Melosh Lab have proposed a non-invasive, high electrode density, high resolution (100 micrometers to 10 nanometers) neural device implantation for electrical stimulation of neural/biological tissues.

Researchers at Stanford developed a method to improve both the efficiency and the performance of MRI optimal trajectory design.

Stanford researchers patented a method to design, computationally optimize and fabricate efficient optical devices using semiconducting and dielectric nanostructures.

Please see the issued US patent, below, for details.

Please see issued patent and publication, below, for details.

Researchers in Profs. Jonathan Fan and Jim Plummer's laboratory have patented a generalized, CMOS-compatible process to fabricate single crystal metal components on amorphous insulator substrates.

Stanford researchers have developed a method of assigning a “glucotype” to patients based on their temporal glycemic patterns. This algorithm classifies people with glycemic dysregulation through constant monitoring.

Researchers in Prof. Amin Arbabian's laboratory have developed a modular RF-Ultrasound architecture to download data, upload data or wirelessly charge devices implanted deep in the body.

These light trapping solar cell structures increase optical absorption and carrier collection, improving efficiency by 24%, while significantly reducing the solar cell active layer thickness and thus lowering cost.

This invention, the “Charge Cloud Tracker” is a fast, low-cost, strip geometry x-ray detector that is predicted to provide limiting resolution on the order of 5 microns, with very high x-ray detection efficiency.

Researchers in Prof. Sylvia Plevritis' laboratory have developed an algorithm designed to optimize cancer combination therapy for individual patients by analyzing distinct single-cell responses from heterogeneous tumors.

Researchers in Prof. Karl Deisseroth's laboratory have developed a highly precise, scalable optical system for imaging or controlling thousands of individual neurons in the 3D volume accessible with a single multiphoton fluorescent microscope objective.

Stanford researchers at the Cui Lab have designed a self-aligned hybrid metal-dielectric surface that offers unparalleled performance in applications where both a transparent contact and a photon management texture are needed.

Stanford engineers have developed and tested a nanostructured thin film material that upconverts infrared to visible light and combines electrical and non-linear optical properties in the same layer.