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Modular Piezoelectric Sensor Array with Beamforming Channels for Ultrasound Imaging

Researchers at the University of California, Davis have developed a large area sensor array for ultrasound imaging systems that utilizes high-bandwidth piezoelectric sensors and modular design elements.

(SD2021-262) A wearable tool for colorimetric monitoring of proteases

Facemasks in congregate settings prevent the transmission of SARS-CoV-2 and help control the ongoing COVID-19 global pandemic because face coverings can arrest transmission of respiratory droplets. While many groups have studied face coverings as personal protective equipment, these respiratory droplets can also serve as a diagnostic fluid to report on health state; surprisingly, studies of face coverings from this perspective are quite limited.

Templated Synthesis Of Metal Nanorods

Brief description not available

Devices and Methods for Monitoring Respiration of a Tracheostomy Patient

Researchers at the University of California, Davis have developed a small device that attaches directly to the hub of a tracheostomy tube and enables the monitoring of respiratory function in tracheostomy patients during sleep studies.

Magnetically Responsive Photonic Nanochains

Brief description not available

(SD2020-421) Virtual Electrodes for Imaging of Cortex-Wide Brain Activity: Decoding of cortex-wide brain activity from local recordings of neural potentials

As an important tool for electrophysiological recordings, neural electrodes implanted on the brain surface have been instrumental in basic neuroscience research to study large-scale neural dynamics in various cognitive processes, such as sensorimotor processing as well as learning and memory. In clinical settings, neural recordings have been adopted as a standard tool to monitor the brain activity in epilepsy patients before surgery for detection and localization of epileptogenic zones initiating seizures and functional cortical mapping. Neural activity recorded from the brain surface exhibits rich information content about the collective neural activities reflecting the cognitive states and brain functions. For the interpretation of surface potentials in terms of their neural correlates, most research has focused on local neural activities.   From basic neuroscience research to clinical treatments and neural engineering, electrocorticography (ECoG) has been widely used to record surface potentials to evaluate brain function and develop neuroprosthetic devices. However, the requirement of invasive surgeries for implanting ECoG arrays significantly limits the coverage of different cortical regions, preventing simultaneous recordings from spatially distributed cortical networks. However, this rich information content of surface potentials encoded for the large-scale cortical activity remains unexploited and little is known on how local surface potentials are correlated with the spontaneous neural activities of distributed large-scale cortical networks. 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;}

(SD2021-212) A tool to assess and monitor wound health

Background. Existing wound care practices use visual cues that are largely superficial in nature. The visual nature of the exams makes them very subjective and there is extensive inhomogeneity in wound evaluations between different healthcare professionals. Imaging is an indispensable tool to see what the eye cannot. Current techniques are limited to image a few millimeters deep into wounded tissue, thus visual examination is limited to the skin surface whereas wounds can exacerbate from deep within soft tissues.

(SD2022-014) Neural Signal Detection of Immune Responses: miniaturized wireless data streaming system to detect early infection

A promising area of clinical research has been growing in wearable diagnostics that has proven to be a powerful tool in healthy physiological as well as disease diagnostics. As the field grows and develops, a number of specializations are already emerging including diagnostics focused on: cardiac dysfunction, epilepsy, and most recently infectious disease detection.

Digital Microfluidic Plasmonic Polymerase Chain Reaction (PCR) Device

This technology automates the polymerase chain reaction (PCR) process using digital microfluidics for droplet manipulation. The invention also increases PCR speed and efficiency by combining electrowetting and plasmonic heating in a single device.PCR tests have a wide variety of applications, including the diagnosis of infectious organisms such as viruses and bacterias, as well as cloning, mutagenesis, sequencing, gene expression, and more. The test has become a gold standard for detecting SARS-CoV-2, the virus that causes COVID-19. In the PCR process, a gene or part of the DNA of the infecting organism is amplified exponentially to the extent that it can be detected using conventional methods like gel electrophoresis. This invention addresses the following challenges in current PCR methods: a long sample to answer time; and manual manipulation by humans, which increases the error rate in the tests.  

High Accuracy Machine Learning Model for Predicting Liver Cancer Risk

Researchers at the University of California, Davis have developed a method to predict if patients diagnosed with nonalcoholic fatty liver disease are at risk for developing liver cancer using a machine learning algorithm that analyzes a variety of easily available phenotypes and risk factors.

(SD2019-220) Spatiotemporal resolution enhancement of biomedical images

Cardiac MRI is the clinical reference standard for visual and quantitative assessment of heart function. Specifically, cine balanced steady-state free precession (SSFP) can yield cardiac images with high myocardium–blood pool contrast for evaluation of left ventricular (LV) function. However, MRI suffers from long acquisition times, often requiring averaging across multiple heartbeats, and necessitates a trade-off among spatial resolution, temporal resolution, and scan time. Clinically, radiologists are forced to balance acquisition time with resolution to fit clinical needs, and certain applications such as real-time imaging may require small acquisition matrices. Image scaling is typically performed by using conventional upscaling methods, such as Fourier domain zero padding and bicubic interpolation. These methods, however, do not readily recover spatial detail, such as the myocardium–blood pool interface or delineation of papillary muscles.

Method for Estimating Blood Plasma Water Content Using Portable NMR Relaxometry

Researchers at the University of California, Davis have developed a method of estimating blood plasma water content using nuclear magnetic resonance (NMR) relaxometry.

Fetal Oximetry Measurement via Maternal Transabdominal Spectroscopy

Researchers at the University of California, Davis have developed a non-invasive, near-infrared, spectroscopy technique that measures fetal oxygen saturation via the maternal abdomen.

Neural Network Machine Learning Applied to Diagnose Acute Kidney Injury

Researchers at the University of California, Davis have developed machine learning models to enhance the accessibility and accuracy of acute kidney injury (AKI) testing.

Programmable System that Mixes Large Numbers of Small Volume, High-Viscosity, Fluid Samples Simultaneously

Researchers at the University of California, Davis have developed a programmable machine that shakes and repeatedly inverts large numbers of small containers - such as vials and flasks – in order to mix high-viscosity fluids.

(SD2021-055) Mass Spectrometry-Based Detection of Beta Lactam Hydrolysis Enables Rapid Detection of Beta Lactamase Mediated Antibiotic Resistance

Beta-lactam antibiotics account for the majority of antibiotics used worldwide. Resistance by beta-lactamase expression is a serious and growing threat. The typical workflow in a clinical microbiology laboratory leading to identification of antibiotic resistant organisms consists of 1) sample plating and mixed growth, 2) pathogen isolation and growth, 3) identification of the organism by biochemical tests or  Matrix Assisted Laser Desorption Ionization Time of Flight (MALDI-TOF), and finally 4) observed growth in antibiotic containing media to determine antibiotic susceptibility/resistance patterns. This workflow requires 36 to 72 hours, involves multiple manual steps, and may not detect inducible resistance. The evolution and spread of antibiotic resistance among human pathogens represents a serious public health threat. Faster identification of the presence of antibiotic resistant organisms is a key component in the effort to reduce the spread of antibiotic resistance, as evidenced by the inclusion of diagnostic development in the CDC’s national strategy to combat antibiotic resistance. Given the clinical challenges that beta-lactamase expressing pathogens present, there is a clear need for faster identification to both enable effective treatment and to enact isolation precautions preventing further spread of resistant organisms 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;}

Motor Drive Unit for Combined Optical Coherence Tomography and Fluorescence Lifetime Imaging of Intraluminal Structures

Researchers at the University of California, Davis have designed a motor drive unit that enables combined fluorescence lifetime imaging and optical coherence tomography of luminal structures.

(SD2021-057) Electro-optical mechanically flexible microprobes for minimally invasive interfacing with intrinsic neural circuits

Microelectrodes are the gold standard for measuring the activity of individual neurons at high temporal resolution in any nervous system region and central to defining the role of neural circuits in controlling behavior.Microelectrode technologies such as the Utah or Michigan arrays, have allowed tracking of distributed neural activity with millisecond precision. However, their large footprint and rigidity lead to tissue damage and inflammation that hamper long-term recordings. State of the art Neuropixel and carbon fiber probes have improved on these previous devices by increasing electrode density and reducing probe dimensions and rigidity.Although these probes have advanced the field of recordings, next-generation devices should enable targeted stimulation in addition to colocalized electrical recordings. Optogenetic techniques enable high-speed modulation of cellular activity through targeted expression and activation of light-sensitive opsins. However, given the strong light scattering and high absorption properties of neural tissue optogenetic interfacing with deep neural circuits typically requires the implantation of large-diameter rigid fibers, which can make this approach more invasive than its electrical counterpart.Approaches to integrating optical and electrical modalities have ranged from adding fiber optics to existing Utah arrays to the Optetrode or other integrated electro-optical coaxial structures. These technologies have shown great promise for simultaneous electrical recordings and optical stimulation in vivo. However, the need to reduce the device footprint to minimize immune responses for long-term recordings is still present.

Flexthrough: A Recirculation Mechanism In Point Of Care CD Microfluidic Using Elastic Membrane

Researchers from the University of California, Irvine have developed a new method and device to efficiently mix and analyze liquid samples on CD-based point of care devices.

FlexThrough: a recirculation mechanism in point of care CD microfluidic using elastic membrane

Researchers from the University of California, Irvine have developed a new method and device to efficiently mix and analyze liquid samples on CD-based point of care devices.

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