This invention, the “Charge Cloud Tracker” is a fast, low-cost, strip geometry x-ray detector that is predicted to provide limiting resolution on the order of 5 microns, with very high x-ray detection efficiency.
Researchers in Prof. Karl Deisseroth's laboratory have developed a highly precise, scalable optical system for imaging or controlling thousands of individual neurons in the 3D volume accessible with a single multiphoton fluorescent microscope objective.
Stanford researchers at the Cui Lab have designed a self-aligned hybrid metal-dielectric surface that offers unparalleled performance in applications where both a transparent contact and a photon management texture are needed.
Stanford researchers have patented a hardware and software system designed for automated assisted steering that combines automated and human vehicle control within driving lanes.
Stanford researchers have designed a method to increase the photoyield of thin film CsBr/metal photocathodes by activation with electron bombardment, allowing efficient operation at UV and longer incident light wavelengths.
Researchers at Stanford have developed new fluorescent sensors to detect and monitor gastrointestinal (GI) permeability. GI permeability can be correlated with the prognosis of GI disease, thus earlier detection may lead to better patient outcomes.
Stanford researchers have demonstrated a new passive cavitation mapping algorithm based on sound localization of multiple scatters of cavitation. It shows improved resolution as compared to existing passive cavitation mapping algorithms based on a basic beamforming.
Stanford researchers have patented the use of a coherent frequency-domain technique in microwave thermoacoustic imaging, which significantly improves signal-to-noise ratio (SNR) and reduces peak-power requirements without sacrificing resolution or other performance metrics.
Several linear accelerator vendors have systems with single x-ray imager. A single x-ray imager presents a challenge to estimate 3D positioning. A method to estimate the 3D position using a single x-ray imager with prior information has been developed by Stanford researchers.
Stanford researchers have developed software that offers a solution to presenting tasks in a clinical magnetic resonance imaging facility to evoke specific responses within the human brain.
Stanford researchers have developed a novel method for the quantification of person-level network functioning, enabling the diagnosis of depression and suggesting an appropriate treatment.
Stanford researchers at the Bao Lab have designed and fabricated a highly stretchable, tough, and self-healable material with high fatigue resistance applicable for electronic (e-) skin devices.