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.
Remotely operated robotic devices are becoming increasingly important in fields such as medicine, space and field research. However, their widespread application is hampered by distance between the robot and its operator which results in communication delays.
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.
Stanford researchers at the Cutkosky Lab have developed a fast process for directly machining into metal to create wedge-shaped geometries. The machined mold is then used to cast gecko-inspired adhesives multiple times without damaging the mold.
Researchers at the Stanford Robotics Lab have developed new methods for modeling multi-contact collisions and steady physical interactions between multiple rigid bodies.
Researchers in Professor Christina Smolke's laboratory have developed an advanced, high-throughput directed evolution platform for designing and discovering RNA devices that can sense and respond to various target ligands in real-time.
Stanford researchers have developed high-titer bacteriophage and annexin V formulations for rapid, more effective phage therapy against bacterial infection.