Researchers at Stanford have developed a device capable of delivering ultrasonic neuromodulation to defined areas of the brain while simultaneously recording neuronal activity with cell-type specificity.
Stanford researchers have built a sound powered, wireless medical implant. The implant contains a piezoelectric energy receiver, an integrated circuit chip, and a loop antenna.
Stanford researchers have developed mutant Renilla luciferase proteins and reporter gene constructs which modify the physical characteristics of the Renilla luciferase protein for use in biological assays.
Stanford researchers have engineered an exceptionally bright, cyan-excitable orange-red fluorescent protein (CyOFP) that can be used both for multiplex imaging with GFP and for high-sensitivity, bioluminescent in vivo imaging.
Stanford researchers have designed a non-invasive, low power ultrasonic neuromodulation device which can target tissue deep in the brain with high spatial-temporal resolution.
Researchers in Prof. Steven Chu's laboratory have developed a fundamentally new method of acoustic imaging to improve resolution of ultrasound diagnostics.
Stanford researchers in the Dai Lab have developed the first ultra-bright cubic-phase erbium-based rare-earth nanoparticles (α-ErNPs) with down-shifting luminescence at ~ 1600 nm for in vivo NIR-IIb (1500-1700 nm) imaging with deep penetration and high clarity.
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.
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 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.