Stanford researchers have developed an exceptionally fast, sensitive, and compact X-ray imaging system for distinguishing liquids and other materials in aviation security applications.
Engineers at the Khuri-Yakub Group have designed a non-surgical alternative for treating epilepsy using ultrasonic technology which can detect, localize, and suppress epileptic seizures in epileptic patients.
Ultrasound complements mammography as an imaging modality for breast cancer detection, especially in patients with dense breast tissue, but its utility is limited by low diagnostic accuracy.
Stanford researchers have developed an optical coating that steers infrared and visual light in different paths while suppressing the typical undesired rainbow effect.
Current injectable hydrogel materials have fast erosion and limited tunability of their mechanical properties at different stages of applications, limiting their biomedical applications.
Stanford researchers in the Biomimetics and Dexterous Manipulation Lab have patented a low cost, high performance multi-axis capacitive tactile sensor that measures all six components of force and torque.
Researchers at Stanford have developed a new therapeutic to promote survival of retinal ganglion cells (RGCs) and optic nerve regeneration after traumatic injury or optic neuropathies.
Stanford researchers have developed a method to fabricate highly efficient Si/TMDs tandem solar cells which aims to break the 30% efficiency barrier with low cost and increased reliability.
Stanford researchers have developed a new machine learning method for extracting gait parameters, such as cadence, step length, peak knee flexion, and Gait Deviation Index (GDI), from a single video.
Stanford researchers have proposed a novel, in vivo, real-time epifluorescence imaging method in the second near-infrared region using single-walled carbon nanotubes (SWNTs).
Dr. Manish Saggar at Stanford University has developed a new method to visualize and quantify transitions in brain activity, which may be used as a diagnostic tool for mental illness.
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 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