Active manipulation of light beams is required for a range of emerging optical technologies, including sensing, optical computing, virtual/augmented reality, dynamic holography, and computational imaging.
Researchers in Prof. Karl Deisseroth's laboratory have patented a revolutionary technique that can be utilized to map neural circuits in the whole brain.
Researchers in the Molecular Imaging Instrumentation Laboratory at Stanford University have developed a PET (positron emission tomography) detector and front end readout assembly that can operate in a high field MRI (magnetic resonance imaging) system.
Stanford inventors have developed and fabricated biodegradable and biocompatible polysaccharide hydrogel optical fibers for fiber optic sensing and light transmission in biomedical applications like antigen detection, tracking cellular events, and optogenetics.
Stanford researchers at the Liao and Xing Labs have developed and tested a machine learning algorithm for augmented detection of bladder cancer. Machine learning has the potential to enhance medical decision making in cancer detection and image analysis.
High quality factor ("high-Q") photonic technology has revolutionized information processing, communications, sensing and nonlinear optics. Researchers in the Dionne Group at Stanford have developed a scheme to generate, for the first time, high-Q phase gradient metasurfaces.
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 at the Kasevich Lab have developed a module that can attach to any standard optical system or sensor for wide-field, time-resolved imaging.
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 in the McNab lab have developed a marker-less neuro-navigation device that only needs to be setup once during the first transcranial magnetic stimulation (TMS) session and by tracking the subjects head, automatically achieves the same accurate coil locatio
Stanford researchers have developed a method which can simultaneously observe two positron emitting isotopes using two distinct molecular probes and a modified PET scanner. This system enables the simultaneous observation of two different molecular processes.
A Stanford researcher has developed two advanced approaches for the positron sensitive high-energy photon sensor technology for Positron Emission Tomography (PET).
Stanford researchers have prototyped a system to enhance the sensitivity of triple coincidences for multi-isotope PET by adding an extra detector dedicated for the detection of the third prompt gamma in coincidence with the annihilation photons.
Stanford researchers have patented a novel concept for a position sensitive high-energy photon sensor device for high resolution radiation imaging that can enhance capabilities of Positron Emission Tomography (PET).
Current techniques for reconstructing images in positron emission tomography (PET) cannot correctly use events in which at least one photon of a pair has scattered in tissue (also known as scatter coincidence events).