Stanford researchers have developed new Fast Quick Error Detection (Fast QED) tests that are four orders of magnitude faster than standard QED tests while also preserving quick error detection properties.
Stanford engineers have prototyped and tested a flexible, soft growing robot that can deploy sensor networks for investigation in constrained spaces (see video below). Existing sensors for growing robots have focused on moving with the tip of the robot.
Stanford researchers in The Tang Group have developed a reproducible, high throughput device that dices tissue into uniformly sized sub-millimeter sample fragments.
Stanford inventors have discovered that applying a hydrogel containing an inhibitor of mechanotransduction pathways on top of a skin graft reduces scarring and promotes healing after repair of traumatic injuries like severe burn wounds.
A common hurdle for many drug delivery applications is getting the desired compounds to the targeted cells or receptors. Additional barriers of achieving the therapeutic drug concentration and necessary drug diffusion are also present even after successful targeted delivery.
Image sensors are used across the board in high-resolution image sensing technologies, and critically rely on their ability to separate colors of light.
Researchers at Stanford have developed an approach to dramatically improve the efficiency of microwave-to-optical quantum transduction – a significant step towards realizing efficient communication between distant superconducting quantum systems.
Near-infrared (NIR) imaging is a valuable research tool that produces quality images with high spatial and temporal resolution through millimeter tissue depths.
Researchers at the Stanford Robotics Lab have developed new methods for modeling multi-contact collisions and steady physical interactions between multiple rigid bodies.
Stanford scientists have invented a method that can determine the gestational age of a fetus by testing the mother's urine using metabolomics profiling and machine learning.