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Depletion and Replacement of Brain Border Myeloid Cells
A novel method for selectively targeting and modulating brain border-associated myeloid cells for the treatment of neurological disorders.
Synthetic, Non-Scheduled, Cannabinoid for Reducing the Frequency and Severity of Seizure
Researchers at the University of California, Davis have developed H2CBD, a fully synthetic analog of CBD designed to treat seizures without the psychoactive effects associated with Cannabis.
Creatine Microparticles for Highly Effective Intranasal Delivery
Professor Xiaoping Hu’s lab at the University of California, Riverside has developed a novel method that allows creatine to bypass the BBB and directly reach the brain. The technology works by delivering creatine intranasally using microparticles. These creatine particles have shown to not exhibit cytotoxicity, are highly stable, and are not disruptive to cell barriers. This technology is advantageous over traditional creatine monohydrate and anhydrous creatine because the smaller particle size ensures even distribution and greater permeability across the BBB.
Self-Supervised Machine-Learning Adaptive Optics For Optical Microscopy
Image quality and sample structure information from an optical microscope is in large part determined by optical aberrations. Optical aberrations originating from the microscope optics themselves or the sample can degrade the imaging performance of the system. Given the difficulty to find and correct all sources of aberration, a collection of methods termed adaptive optics is used to measure and correct optical aberrations in other ways, to recover imaging performance. However, state-of-the-art adaptive optics systems typically comprise complex hardware and software integration, which has impeded their wide adoption in microscopy. UC Berkeley researchers recently demonstrated how self-supervised machine learning (ML)-based adaptive optics can accurately estimate optical aberrations from a single 3D fluorescence image stack, without requiring external datasets for training. While demonstrated for widefield fluorescence microscopy, many optical microscopy modalities present unique challenges. In the present technology, UC Berkeley researchers have developed a novel self-supervised ML-based adaptive optics system for two-photon fluorescence microscopy, which should also be extensible to confocal and other modalities. The system can effectively image tissues and samples for cell biology applications. Importantly, the method can address common errors in optical conjugation/alignment in commercial microscopy systems that have yet to be systematically addressed. It can also integrate advanced computational techniques to recover sample structure.
Piezoelectric Transformers For Power Conversion
The demand for miniaturized power electronics with increased efficiency and performance motivates the exploration of piezoelectric structures as alternative passive components; piezoelectric components store energy in mechanical compliance and inertia with extremely high quality factors and energy densities significantly greater than those of magnetics at small scales. Recent magnetic-less dc-dc converter designs based on single-port piezoelectric resonators (PRs) have demonstrated power stage efficiencies of 99% and PR power handling densities of up to 5.7 kW/cm3. While marking tremendous milestones, such performance has only been achieved in non-isolated dc-dc converters with mild (2:1) voltage conversion ratios, confining the utility of piezoelectric-based power conversion to a narrow subset of applications. Piezoelectrics may be expanded to a broader set of applications through use of multi-port piezoelectric transformers (PTs), which offer the same advantages as PRs but with the added potential for galvanic isolation and inherent voltage transformation. The present invention overcomes standing performance shortcomings in isolated magnetic-less PT-based dc-dc converters, providing a framework for high-efficiency piezoelectric transformer (PT) designs (wherein isolated PTs serve as the primary passive components in isolated dc-dc converters). One of the proposed PT designs is validated in a dc-dc power converter prototype and demonstrates a peak efficiency of 97.5%. The measured performance represents a 17x reduction in loss ratio compared to previous isolated magnetic-less PT-based dc-dc converter designs, and expands the value of piezoelectrics to applications requiring isolation.
Integrated Optical Field Sampling Platform
In collaboration with MIT, Researchers at the University of California, Davis have contributed to the development of an Integrated Opitcal Sampling Platform.
Engineered TNA Polymerase for Therapeutic Applications
An engineered polymerase enabling the synthesis of threose nucleic acid (TNA) for advanced therapeutic applications.
REVEALR Technology for Viral Detection
A novel diagnostic technology offering rapid, accurate, and inexpensive detection, genotyping, and quantification of viral RNA in patient-derived samples, enhancing public health capabilities.