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Stanford researchers are developing a low-power, CMOS image sensor with embedded feature-extraction for mobile vision applications.

Researchers at Stanford have engineered two promiscuous biotin ligases for non-toxic, efficient proximity labeling (PL) in living cells and organisms.

Stanford researchers have developed software that provides an end-to-end automation of pre-processing, quantification and collation of results.

Stanford researchers have developed a method that allows for 3D semantic parsing of indoor spaces. It receives a 3D point cloud input which is parsed into individual spaces and specific components, such as structural and furniture.

Stanford researchers developed an ultrasound method to estimate the local speed of sound of tissue, regardless of the tissue overlying the target location.

Stanford researchers have patented an automated method for generating articulated human models consisting of both morphological and kinematic model data.

Stanford researchers have patented a data-driven method for building a human shape model that spans variation in both subject shape and pose. The method is based on a representation that incorporates both articulated and non-rigid deformations.

Researchers at Stanford have invented a platform to manipulate droplets in a synchronized manner. Magnetic fields combined with patterned soft magnet arrays on a substrate, provide a clocking signal to the magnetic droplets.

This invention describes a new type of spreadsheet that instead of using arithmetic to relate data entries uses logical relationships. This fundamentally changes how the spreadsheet works and increases the user's ability to manipulate and extrapolate scenarios.

Researchers at Stanford have developed a high-throughput barcoding method that greatly improves sequencing accuracy and makes it possible to do robust single molecule profiling, since it can trace duplicate sequencing reads to their original single molecule clones.

Stanford researchers have developed a method to make non-ideal beam-splitters operate as perfect beam-splitters, using a double Mach-Zehnder interferometer.

Transgenic mice carrying reporter genes are extremely useful tools in modern biomedical science to unravel various underlying molecular mechanisms crucial for normal development, as well as, disease progression.

Stanford researchers have developed descriptors based on OpenEye Rapid Overlay of Chemical Structures (ROCS) that, when paired with machine learning methods improve virtual screening performance.

Researchers at Stanford University have developed a high-speed, all-optical random number generator based on quantum randomness.

Stanford researchers developed a device that converts microwave signals (quantum logic) to optical signals using a silicon-on-lithium-niobate photonic crystal cavity.