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
Researchers at the SLAC National Accelerator Laboratory have developed a cost-effective method for using low temperature microwave annealing to create diode termination contacts on silicon sensors.
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 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.
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.
Stanford researchers at the Salisbury Lab have prototyped a wearable, articulated robotic device that can be attached to a person at the hip or other location to augment human task productivity. This mechanical "third arm" has many uses such as assisting abled users (e.g.
Stanford researchers have developed a novel, non-tracking and low cost solar concentrator - Axially Graded Index LEns: AGILE - that has potential to change the economy of the solar cell industry.
Stanford researchers have developed a fast, multi-dimensional MRI procedure which records and correlates at least five dimensions of anatomic, physiologic, and functional information applicable for cardiac imaging.