Researchers in Prof. Lambertus Hesselink's laboratory have developed a compact, sensitive X-ray differential phase contrast (DPC) imaging system that improves field of view, increases fringe visibility and shortens imaging times.
Researchers in the Molecular Imaging Instrumentation Laboratory at Stanford University have developed methods to improve the image quality of tomographic image reconstruction, including positron emission tomography (PET).
Researchers at Stanford have developed a dual modality imaging probe to provide improved atherosclerosis detection and evaluation. Atherosclerosis is a disease in which plaque builds up inside arteries.
Researchers at Stanford University have developed a system for improved scatter correction in CT scans by simultaneously collecting image projection data and scatter data in a single scan.
This patented technology is an Integrated Capacitance Bridge (ICB) that can perform ultra-high-resolution (aF), wide-temperature-range measurements of capacitance in nano-structures.
Stanford researcher Paul Norman has developed an integrated capture/next-gen sequencing/ bioinformatics method to completely characterize the structure and sequence of the highly polymorphic killer cell immunoglobulin-like receptor (KIR) genes to aid in donor matching for clin
ChiRP (“Chromatin Isolation through RNA Purification”) is a patented RNA “interactomics” technique developed in Prof. Howard Chang's laboratory to capture and identify DNA, RNA or protein molecules that interact with any RNA of interest in a cell.
The performance of most digital systems today is limited more by their communication or interconnection rather than their logic or memory. To increase the entire system's efficacy, the focus is on improving the system's interconnection network.
Stanford researchers have developed a new algorithm for reinforcement learning, which can learn to take good actions with potentially long term consequences in a general unknown complex system.
Stanford researchers have developed a new technology to create a programmable yet low power processing core targeting imaging systems. This core is built around a 2D-stencil processing data-path.
Stanford researchers have developed a camera technology that performs range and velocity measurement in a per-pixel manner offering a fundamentally new imaging modality with existing consumer time of flight camera hardware.
Researchers in Dr. Leonore Herzenberg's lab at Stanford have developed this technology and another (see Stanford Docket S15-009) to improve the ease and accuracy of flow cytometry experiments.