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A Method For Accurate Parametric Mapping Based On Characterization Of A Reference Tissue Or Region

UCLA researchers in the Department of Radiological Sciences have developed a method to address the issue of B1+ field inhomogeneity that is becoming a persistent problem in higher field strengths. 

Individual Identity Verified Through Device-Free, WiFi Based Framework

Researchers at the University of California, Davis have developed a device-free, WiFi based framework that can isolate individual identity, from a small group of users, simply by observing variations in WiFi signals through a user’s gait.

Combined Optical Micromanipulation & Interferometric Topography

Background: Optical tweezers (OTs) is a commonly used light-based technology with a broad range of applications in studying mechanobiology. While OTs are capable of making force measurements at the pico-Newton level, they cannot be used to provide size and structural information on the object being investigated. The platform technology developed at UCR provides simultaneous measurements of force and physical dimensions. Currently, many leading manufacturers for nanoanalytic instruments are expanding their operations in North America and Asia to support the growth of its application in the scientific community.   Brief Description: UCR researchers have developed COMMIT, an all-optical platform, by combining optical tweezers and a novel microscopy method. COMMIT allows for simultaneous measurement of nano-sized objects and pN forces. Existing methods call for fluorescent labels and lack high resolution in imaging. This platform facilitates dynamic measurement of transient nanomechanical properties of cells in real-time.

Nuclear Magnetic Resonance System for Determining Oil and Water Compositions in Drilling Mud

Researchers at the University of California, Davis have developed a nuclear magnetic resonance (NMR) system and method for determining oil and water compositions in drilling mud.

Method To Probe Bulk And Surface States In Thermoelectrics And Topological Materials

Researchers in the department of Chemistry and Biochemistry at UCLA have developed a non-invasive, site-specific method to probe the electronic structure of both surface and bulk states within thermoelectric and topological insulator materials.

OptoPlates: Programmable LED Devices for Tunable Illumination of Tissue Culture Plates

A programmable, standalone LED array that unlocks new potential for both real-time activation of proteins and visualization of cells during high-throughput screening. This device can be used in such advanced research techniques as optogenetic activation, photoconversion, photobiology, and drug screening.

Degraded/Distorted Image Restoration

Brief description not available

Software for Differential Dynamic Microscopy (DDMCalc)

A MATLAB code for performing differential dynamic microscopy (DDM).

Dry-Eye Formulation

The sensation of ocular discomfort commonly referred to as “dry eye” can be caused by various factors. The principal causative factors are (a) increased tear-evaporation rates attributable to meibomian gland dysfunction and insufficient/unbalanced tear-lipid films; (b) inadequate tear-aqueous production attributable to aging, medical procedures performed on the cornea (e.g., LASIK), or other general health conditions (e.g., autoimmune diseases); (c) environmental irritants (e.g., dust, smoke, wind, sun, or low humidity); and (d) eye strain attributable to extended viewing of computer monitors or other working environment-related factors. There are many different artificial-eye drops marketed and prescribed or recommended by medical practitioners to decrease dry-eye sensations. Unfortunately, all provide only short-term or no effects at all on tear-film stability and evaporation rates. Moreover, many artificial-tear formulations contain petrochemicals, (e.g., mineral oil) which have nothing in common with natural lipids comprising human tear-lipid films and might be potentially harmful to the eye.   Researchers at UC Berkeley have developed bicontinuous microemulsion formulations capable of delivering the components necessary to counteract compromised stability of tear-lipid layers and thus enhance the stability of entire tear films. These bicontinuous microemulsion components disperse spontaneously into a physical state that makes the microemulsion completely miscible with both human tear aqueous and human tear lipids. The components of these microemulsions are chemically identical or very close to natural tear lipids and tear aqueous and thus are completely biocompatible with human tear films. The lipids used in this formulation are biodegradable, and human tear enzymes will be able to metabolize these bicontinuous microemulsion lipids.  

Camera-Based Reader For Blurry And Low-Resolution 1D Barcodes

Virtually every packaged good is labeled with at least one form of barcode; generally, either by EAN or UPC standards. The success of barcode technology for identification, tracking, and inventory derives from its ability to encode information in a compact fashion with very low associated cost. Barcode reading via dedicated scanners is a mature technology. Commercial laser-based hand-held barcode scanners achieve robust readings. Recently, however, there has been growing interest in accessing barcodes with regular cellphone, rather than with a dedicated devices. Since cellphones are of ubiquitous use, this would enable a multitude of mobile applications. For example, a number of cellphone apps have appeared recently that provide access via barcode reading to the full characteristics and user review for a product found at a store. Unfortunately, cellphone camera images generated by low-grade lenses which produce blurred barcode images. Likewise, motion blur along with low ambient light make barcode reading difficult in certain situations.

Bio-Imaging Of Aldehyde Dehydrogenase Activity

Aldehyde Dehydrogenase (ALDH) activity is essential for generating cancer stem cells and drug resistance in cancer stem cells, which are the primary cause of treatment failure in oncology. Similarly, ALDH activity also plays a therapeutic role in a variety of inflammatory diseases and is needed for tissue regeneration and wound healing after a myocardial infarct, the detoxification of xenobiotics in the liver, the alleviation of pain, and the prevention of Parkinson’s disease. There is therefore great interest in developing small molecules that can inhibit or activate ALDH activity, however, this is currently challenging because of the inability to measure ALDH activity in cells.  The current method measures ALDH in cells indirectly, via ALDH substrates that are unable to distinguish between non-specific accumulation and genuine ALDH activity, and can only indirectly measure ALDH activity via flow cytometry.  UC Berkeley researchers have developed bio-imaging agents to image ALDH activity in cells. The new agents can spectrally distinguish between the small electronegativity differences between an aldehyde and a carboxylate and are exceptionally sensitive to changes in electronegativity.   

Faces: Art, And Computerized Evaluation Systems-A Feasibility Study Of The Application Of Face Recognition Technology To Works Of Portrait Art

Background: Portraits are not just forms of art; they usually identify important people and the artistic styles of that era. Currently, face recognition technologies for portraits do not exist and therefore, many great pieces in museums remain unidentified. Curators spend an excruciating amount of time, energy and already limited resources to identify paintings. A computer program that helps answer these questions will be beneficial not only for art identification-sakes but to discover the historical stories behind unknown paintings.  Brief Description: UCR researchers have developed a novel computerized system for identifying artists and artists’ styles. First, they fed known portraits into their algorithm for face recognition system training. Then, the Portrait Feature Space (PFS) feature analyzes the unknown portrait and looks for a match in the system. The system is able to learn artistic conventions, such as variation in brush strokes and facial proportion metrics, to compute a similarity score. Identity verification is a 2-step process where style modeling results in assigning the unknown portrait to a particular artist, then further authentication through analysis with known sitters.

A Video Based Hierarchical Vehicle Classification System

Background: Transportation and vehicle classification systems are becoming smarter and more automated. For example, electronic toll collection systems have been introduced and drivers are not required to stop, eliminating road delays. New technologies have also been added to these systems that enable service providers to acquire data on what type of vehicles are utilizing their amenities as well as vehicle identification for safety & control purposes.  Brief Description: UCR Researchers have developed a method and system for vehicle classification using video imaging. This novel invention entails a vehicle ground clearance measurement system along with a video camera that captures a travelling vehicle and categorizes it into a vehicle class. The cameras on current methods and systems rely on side views of the vehicle, which can easily be obstructed by other vehicles.

An integrated intraoperative diagnosis and therapy catheter system

In traditional cardiology and oncology, disease diagnosis and treatment are traditionally separate procedures resulting in increased costs and delayed treatment, which, in some cases, may increase morbidity. Therefore, a system that can diagnose and treat diseases simultaneously would greatly decrease costs and provide timely treatment, which may prevent death from the disease. Researchers in the Department of Engineering at UC Irvine, in collaboration with researchers at Shanghai Jio Tong University in China have invented a multimodal system for the diagnosis and treatment of cancer and cardiac disease. Summary of development The present invention describes an intraoperative imaging and therapy catheter system for the accurate diagnosis and treatment of cancer and cardiac disease. This multimodal medical device combines imaging, cryosurgery, and thermal therapy thereby permitting accurate diagnosis and treatment of vulnerable plaques in blood vessels and various types of cancers. In addition, by adding low cost imaging modalities such as optical coherence tomography (OCT), ultrasound imaging, photoacoustic (PA) imaging, fluorescence imaging and thermal imaging, cryosurgery can be performed with much higher accuracy. Importantly, addition of these imaging systems enables accurate identification of lesion sites, precise depth of cryosurgery/heating probe placement, and the capability to monitor the extent of the freezing/heating process. Furthermore, the invention may include intravascular ultrasound (IVUS) facilitating visualization of cross-sectional images of the vessel wall, entire large lipid pools, and large tumor regions. These parameters are valuable for the guidance of cryoplasty regarding the treatment time, temperature and location.

A Novel MR Angiography Technique

UCLA researchers in the Department of Radiology have demonstrated the FDA approved compound ferumoxytol (a.k.a Feraheme) as a safer and more efficient contrast agent in MRI imaging compared to the traditionally used contrast agent gadolinium. This compound is especially suited for use in pediatric patients with kidney failure.

Erbium Modified III-V Semiconductors as Photoconductors in the Terahertz Region

A composite material system with embedded Erbium-Arsenic (ErAs) nanostructures for 1030nm operation with higher dark resistance and ultrafast carrier lifetime. 

Precise Neural Circuit Probe with Reversible Functionality

A neural circuit probe microscope attachment that uses atomic force microscope technology to apply tiny, precisely controlled forces to axons or axon bundles to interfere reversibly with neural transmission on a multielectrode array.

Nanoscale Imaging

Cathodoluminescence (CL) is used for nanoscale imaging by detecting the light generated in the sample by the application of an electron beam. Direct CL has also been used to image biological samples, but typically causes damage to the sample and can result in poor imaging quality.  Methods which incorporate inorganic cathodoluminescent nanoparticle labels into a biological sample result in less sample damage, but imaging with nanoparticle labels requires the electron beam to penetrate into the sample, which precludes repeated measurements or observations of dynamics. A UC Berkeley researcher has developed an optical imaging system and method for producing nanoscale images with high resolution, images of fragile samples without damaging the samples and that can be used for repeated imaging of a sample which allows observation of sample dynamics.  

Ferrofluid Droplets to Locally Measure the Mechanics of Soft Materials

A technique and apparatus that can measure the mechanical properties of any kind of soft material, including complex fluids, living embryonic and adult tissues (such as skin), as well as tumors. 

Near Infrared (NIR) Imaging System and Method For Detection of Maxillary Sinus Infections

Sinusitis is an inflammation, or swelling, of the tissue lining the sinuses. Normally sinuses are filled with air, but when sinuses become blocked and filled with fluid, bacteria, viruses, and fungi can grow leading to infection. In the United States, approximately one in seven people develop sinusitis each year, and 20 million cases of acute bacterial sinusitis become chronic conditions requiring medical treatment. Current management of sinusitis is based on observation of symptoms (primary care settings) or radiation-based CT scans (in specialist settings). However, symptom-based observations do not provide consistent or standardized measurements and CT-scans are too costly, unnecessary in many cases, and inappropriate for primary care settings.

Detection Of Cardiac Toxicity Using Machine Learning Algorithms

The invention is software that combines sensitive monitoring system with intelligent learning algorithm in order to evaluate the drug’s cardiac toxicity. This monitoring system is unique because it utilizes machine learning in order to detect the slightest nuances that can then be detected and then deciphered. Overall, this software will change how drugs are traditionally screened in order to prevent cardiotoxic drugs from entering the market place and ultimately save lives.

A Kind of Compact Device to Enable Light Sheet Imaging on an Inverted Wide-Field Microscope

Researchers at UCLA have developed a compact and inexpensive add-on device that enables light sheet microscopy to be performed on a conventional inverted microscope.

Bimorph Piezoelectric Micromachined Ultrasonic Transducers

Piezoelectric Micromachined Ultrasonic Transducers (pMUTs) have attracted industry attention for their good acoustic matching, large bandwidth, miniaturization, and low cost-by-batch fabrication. pMUTs have the advantages of low power consumption and large deflection for high-acoustic power applications. However, low electromechanical coupling has been a serious drawback for pMUT applications, in some cases foreclosing key opportunities. In response to this challenge, researchers at UC Berkeley have developed a bimorph pMUT with unique advantages which dramatically improve the device capabilities: the bimorph pMUT utilizing two active AlN layers in a CMOS-compatible process. This innovative design is the first bimorph pMUT with two active piezoelectric layers separated by a common electrode. The prototype bimorph pMUT has a resonant frequency of 198.8 kHz and central displacement of 407.4 nm/V. Under the differential drive scheme using the dual electrodes at low frequency, the measured central displacement is 13.0 nm/V, which is about 400% higher than that of a unimorph AlN pMUT. This revolutionary dual electrode bimorph pMUT presents a new class of design/fabrication for exciting pMUT applications, including range finders and gesture recognition devices.

Self-Curved Diaphragms By Stress Engineering For Highly Responsive pMUT

Curved pMUTs, as developed at UC Berkeley, have been shown to have 2 orders of magnitude improvement over flat pMUTs as well as the capacity for post-processing tuning. However, it is desirable to improve production methods to make this innovation more commercially applicable.To meet this challenge, investigators at Berkeley have developed a self-curved diaphragm process using stress engineering to produce highly responsive curved pMUTs. This diaphragm pMUT can boost 6X better performance compared to the flat diaphragm state-of-the-art pMUT. CMOS foundry-based process flow has produced self-curved diaphragms by engineering residual stress in thin films to construct molds for fabrication. Benefits of the invention include achieving silicon curved molds by patterning thin layers of stressed silicon nitride and silicon oxide layers on top of a silicon plate of a predetermined thickness.

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