Stanford researchers at the Ferrara Lab have designed an ultra-fast standing device for breast ultrasound which is more comfortable than current designs and has higher resolution.
Quantum scientists in the LINQS, Schuster, and Simon Labs at Stanford have developed a method of multiplexing many low-light optical fields onto a single fast sensor.
Stanford researchers in the Simon Lab have proposed integrating nonlinear optics within optical resonators in general, and within their small waist resonators in particular.
This approach is feasible because:
Researchers at Stanford have developed force sensors that can operate on very small physical scales without the need for an external connection or power supply.
Inventors at Stanford have developed a novel strategy to perform concurrent fluorescence measurements of multiple biological parameters in freely moving and head-restrained animals.
Fiber photometry, a measurement technique that aggregates fluorescence signal using a fiber optic, is a highly pervasive approach in the field of systems neuroscience to study in vivo brain tissue dynamics during ecologically relevant behavior.
Researchers in the Murmann Mixed Signal Group have developed a pipelined chip architecture with inverted residual and linear bottlenecks-based networks for energy efficient Machine Learning inference on edge devices.
Researchers at Stanford have developed a new type of light source for spectroscopy applications, making it smaller and more energy efficient. Furthermore, this application allows a broad range of wavelengths without the interference from a pump laser.
Stanford inventors have developed a mobile thermoelectric device designed to preserve organs during transit by maintaining 10°C (+/-1°C) for over 6 hours.
Researchers at Stanford University have developed a multilayered immiscible polymer system capable of autonomously realigning its layers to enhance the healing process after damage.
Stanford researchers have developed strain-sensitive, stretchable, and self-healable semiconducting film. The researchers have created a multiplexed sensory transistor array using this material which can detect strain distribution by surface deformation.
Stanford researchers have developed a patient classification method (healthy, idiopathic, diabetic, etc.) based on a quantitative assessment score derived from autonomic and gastric electrocardiogram (ECG) and electrogastrogram (EGG) data.