Researchers at the University of California, Davis have developed a system consisting of cameras and multi-wavelength lasers that is capable of precisely locating and inspecting items.

Researchers at the University of California, Davis have developed a device that allows needles to be reliably and easily bent to a range of specified and reproducible angles. The device also enables protection of the needle tip and the maintenance of needle sterility during bending.

Mass spectrometers for high precision gas isotope measurements (e.g., noble gases, carbon, nitrogen) are typically equipped with a dual inlet system in which one side contains the unknown sample gas and the second side contains a known standard. Repeated comparisons of the two gases allows precise determination of differences in the gas composition. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0in; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

This invention is a high intensity ultrashort pulse compressor that filters out low intensity artifacts and is made with commercially available low-cost components. This integrated system also provides scalability and can therefore be used for a range of laser intensities.

UCI researchers introduced a medical device which simultaneously detects hydrofluoroalkane (HFA), carbon dioxide (CO2), and nitrogen monoxide (NO) in exhaled breath for monitoring and improving treatment of asthma and chronic obstructive pulmonary disease (COPD).

Researchers at the University of California, Davis have developed an amplifier technology that boosts power output in order to improve data transmission speeds for high-frequency communications.

UCLA researchers in the Department of Bioengineering have developed a novel machine learning assisted wearable sensor system for the direct translation of sign language into voice with high performance.

UCLA researchers in the Department of Electrical and Computer Engineering have developed a wirelessly powered frequency-swept spectroscopy sensor.

UCLA researchers in the Department of Bioengineering have developed a textile-based sensor system (TS system) for wireless, wearable biomonitoring.

A novel wearable, unobtrusive flexible patch designed to facilitate continuous monitoring of fetal heart rate (fHR) and ECG by pregnant women in a home setting.

Researchers in the UCLA Department of Electrical and Computer Engineering have developed a Light Detection and Ranging (LiDAR) device capable of high resolution, high acquisition measurements with minimized walk error and adjustable detection quality.

UCLA researchers in the Department of Electrical and Computer Engineering have developed a Non-line-of-sight (NLOS) Imaging System using low cost thermal cameras that enable 3D recovery of NLOS heat source for imaging around corners.

UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed flexible tactile sensors for curved surfaces that are robust against fatigue and suitable for robotic applications.

UCI researchers developed a sturdy architecture and straightforward fabrication procedure for the core sensing element in microscale gyroscopes for timing and inertial navigation applications.

Rehabilitation therapy, while an important tool for the long term recovery of patients affected by brain injury or disease, is expensive and requires one-on-one attention from a certified healthcare professional. UCI researchers have developed a computer-based system that provides arm movement therapy for patients. The system allows patients to independently practice hand and arm movements, improving therapeutic outcomes, while reducing hospital visits and cost for both patients and healthcare providers.

Nanoscale multipoint structure-function analysis is essential for deciphering the complexity of multiscale physical and biological systems. Atomic force microscopy (AFM) allows nanoscale structure-function imaging in various operating environments and can be integrated seamlessly with disparate probe-based sensing and manipulation technologies. However, conventional AFMs only permit sequential single-point analysis. Widespread adoption of array AFMs for simultaneous multi-point study is still challenging due to the intrinsic limitations of existing technological approaches.

The number one cause of train derailments globally are unidentified track defects which accumulate over time under the heavy loads and weathering to which rail is exposed. For the last 100 years rail inspection has sought to identify these structural defects before they can pose a serious threat to regular rail traffic. Unfortunately, rail inspection has required specialized low-speed testing cars which can only operate at less than 25% the normal speed of a train. These inspection cars must coordinate their work around planned outages of the rail line, impacting normal rail traffic. Due to this inconvenience, rail defects are typically repaired in real-time, as identified, vs. being prioritized as to potential seriousness and repaired in order of likelihood to cause a future accident.

Piezoelectric sensors have long existed to monitor applied pressures between two objects. In large applications with malleable substrates or where low cost is key, individual piezoelectric sensors are not practical. A variety of applications exist where monitoring the pressure being applied to a soft surface would providing meaningful insights into the system or subject under observation. For instance, in a long-term care setting where patients need to be monitored for pressure ulcers, a bedding material that could sense the pressure points between a person’s body and the mattress could alert care givers that an adjustment in body position is warranted. Likewise, in a sports training application, a pressure sensitive boxing ring canvas could track a boxer’s footwork, or punching power and hand speed if applied to the inside of a punching bag.   Pressure sensitive soft toys could also benefit from feedback that might differ when a child scratches behind their stuffed animal’s ears vs. rubbing its belly.  To achieve discrete sensing in these applications, a low cost bulk sensing system is needed.

Microfluidic devices have long been touted as a powerful analytical tool with which to characterize a wide range of analytes, including particles, and cells. Despite the apparent convenience of microfluidic technologies for applications in healthcare, such devices often rely on capital-intensive optics and other peripheral equipment that limit throughput, perhaps because the majority of microfluidic devices operate using optics-based principles, which typically require high-speed or sensitive cameras, sophisticated confocal microscopes, vibration isolation tables, and laser excitation systems.

UCLA researchers in the Department of Electrical & Computer Engineering have invented a novel circuit design that performs high speed and reliable data reading operations for resistive device-based memory applications.

UCLA researchers in the Department of Electrical Engineering have developed a high-responsivity photodetector that utilizes metallo-graphene nanocomposites for superior detection of infrared wavelengths.

UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel wearable biosensor capable of measuring biomarkers in real time through biofluids like sweat.

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Researchers at the University of California, Davis have developed a method for measuring in-plane and out-of-plane surface magnetic properties of thin films.

Researchers at UCI have developed a non-intrusive method for building a virtual replica of manufacturing machine, which allows for accurate diagnostics of the state of the system. This provides manufacturers with real-time information on quality control and immediately identifies any malfunctions in the system.