Explore Stanford technologies available for licensing:

Stanford researchers led by Profs. Yi Cui and Steven Chu have demonstrated that interfacial layer of hollow carbon nanospheres allows stable lithium metal anode cycling up to a practical current density of 1 mA cm^-2.

Stanford researchers have developed an intuitive, dynamic construction scheduling software tool called Loops. Loops is both Building Information Modeling (BIM) based and Lean-enabled.

Stanford researchers have developed a novel phantom which can integrate quality assurance (QA) procedures for radiofrequency tracking system, surface mapping system, Winston-Lutz test, the imaging system isocenter test and laser verification.

Engineers in Prof. Zhenan Bao's laboratory have developed a fully elastic, highly stretchable fluorinated polymer that can be used as a photoresist with standard lithography techniques for precise patterning of flexible electronic devices.

Stanford researchers have developed novel methods to achieve more efficient, accurate and generalizable reconstruction from under-sampled MRI.

Stanford researchers at the Xing Lab have developed a novel method using deep neural networks called "Q²MRI" to simultaneously acquire qualitative MR image and quantitative MRI parametric maps without changing the clinical imaging protocol or elongating MRI scan tim

Stanford researchers have proposed the use of feedback to improve point-to-point radio performance under a total energy constraint.

Stanford researchers at the Kasevich Lab have prototyped a multi-pass electron microscope that can image nanometer scale samples including electron damage sensitive proteins and other electron dose sensitive nanostructures with low damage.

Dr. Guillem Pratx and colleagues have developed a high-throughput single cell scintillation counting system that can sort cells on the basis of uptake of a small radiolabeled molecule.

Stanford inventors have developed a method to incorporate machine learning algorithms to apply to signal detection in communication system receivers.

Researchers in Prof.

Stanford researchers leveraged anti-Stokes fluorescence cooling to design a compact, self-cooling fiber laser. Rare-earth (erbium, ytterbium, etc.) doped optical fibers are attractive optical gain providing devices (i.e.

Stanford researchers have developed a novel and efficient method for generating real-time 3D volumetric computed tomography (CT) images with 2D single or few-view projections, instead of several hundreds of projections as required in existing CT imaging system.

Prof. Alison Marsden and her colleagues have developed a computational framework that uses personalized anatomical information to identify patients that have a high risk for saphenous vein graft (SVG) failure after coronary artery bypass graft (CABG).

Stanford inventors have developed a series of methods which can identify genetic variants and medical genotypes through the phasing of genetic data with the use of Mendelian inheritance as quality control.