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System For Determining Trademark Similarity

Many areas of intellectual property law involve subjective judgments regarding confusion or similarity. For example, in trademark or trade dress lawsuits a key factor considered by the court is the degree of visual similarity between the trademark or product designs under consideration. Such similarity judgments are nontrivial, and may be complicated by cognitive factors such as categorization, memory, and reasoning that vary substantially across individuals. Currently, three forms of evidence are widely accepted: visual comparison by litigants, expert witness testimonies, and consumer surveys. All three rely on subjective reports of human responders, whether litigants, expert witnesses, or consumer panels. Consequently, all three forms of evidence potentially share the criticism that they are subject to overt (e.g. conflict of interest) or covert (e.g. inaccuracy of self-report) biases.To address this situation, researchers at UC Berkeley developed a technology that directly measures the mental state of consumers when they attend to visual images of consumer products, without the need for self-report measures such as questionnaires or interviews. In so doing, this approach reduces the potential for biased reporting.  

Integration And Mass Transfer Of Microleds

Brief description not available

Wireless and Programmable Recording and Stimulation of Deep Brain Activity in Freely Moving Humans Immersed in Virtual, Augmented or Real-World Environments

UCLA researchers in the Department of Psychiatry and Biobehavioral Sciences have a designed a lightweight, highly mobile deep brain activity measuring platform that elucidates neural mechanisms for neuropsychiatric disorders.

Curved Holographic Integrated Grating Lenses for Augmented and Virtual Reality

UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel holographic grating design that achieves high-resolution, high-performance and high-efficiency display in augmented and virtual reality.

Ultrasound Based Volumetric Particle Tracking Method

The disclosure relates to method of processing three-dimensional images or volumetric datasets to determine a configuration of a medium or a rate of a change of the medium, wherein the method includes tracking changes of a field related to the medium to obtain a deformation or velocity field in three dimensions. In some cases, the field is a brightness field inherent to the medium or its motion. In other embodiments, the brightness field is from a tracking agent that includes floating particles detectable in the medium during flow of the medium.  

Extended Depth-Of-Field In Holographic Image Reconstruction Using Deep Learning-Based Auto-Focusing And Phase-Recovery

UCLA researchers in the Department of Electrical Engineering have developed a novel deep learning-based algorithm that digitally reconstructs images from holography over an extended depth of field.

Real-time 3D Image Processing Platform for Visualizing Blood Flow Dynamics

Researchers at UCI have developed an image processing platform capable of visualizing 3D blood flow dynamics of the heart in real-time. This technology aims to be a promising tool for looking at areas of the heart that were previously difficult to image and to better understand the dynamics in cardiac dysfunctions.

Stereo Image Acquisition By Lens Translation

UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a novel single-objective lens stereo imaging setup for endoscopic applications.

Incorporation of Mathematical Constraints in Methods for Dose Reduction and Image Enhancement in Tomography

UCLA researchers have developed an algorithm that enables construction of 3D images from tomographic data through iterative methods with the incorporation of mathematical constraints. This methodology is an improvement over conventional techniques as it allows for radiation dose reduction and improved resolution.

Systems and Methods for Real-Time Remote 3D Radiotherapy Treatment Monitoring

Researchers from the Department of Radiation Oncology at UCLA have developed a novel method that enables 3D patient monitoring during radiation therapy that enables remote patient visualization with high spatial resolution.

Systems and Methods for Real-Time Radiation Therapy Gantry Collision Detection

Researchers in the UCLA Department of Radiation Oncology have developed a novel means to remotely visualize a radiotherapy treatment room in real-time via 3D camera technology.

Spectro-Temporal Lidar

UCLA researchers in the Department of Electrical and Computer Engineering have developed a LIDAR sensor that collects high frame-rate 3D measurements for autonomous vehicle and robotics applications.

In vivo optical biopsy applicator of the vaginal wall for treatment planning, monitoring, and imaging guided therapy

Pelvic floor disorders (PFDs) afflict nearly 25% of all women and carry a host of symptoms that can drastically reduce quality of life. Despite their prevalence, the complex and varied nature of such PFDs make them difficult to diagnose and treat. Researchers at UCI have developed an entirely integrated system that, for the first time, provides real-time monitoring of the vaginal wall tissue during diagnosis and treatment, allowing for more thorough diagnoses and more effective treatment methods.

Vertical Cavity Surface-Emitting Lasers with Continuous Wave Operation

An m-plane VCSEL with an active region that has thick quantum wells and operation in continuous wave.

Multifaceted III-Nitride Surface-Emitting Laser

Improved laser capability using III-Nitride VCSELs as the illumination source for sensing applications of a fluorescent sample.

Single-Pixel Optical Technologies For Instantly Quantifying Multicellular Response Profiles

UCLA researchers in the Department of Mechanical & Aerospace Engineering and the Department of Pathology & Lab Medicine have proposed a new platform technology to actuate and sense force propagation in real-time for large sheets of cells.

Geometrical Characterization of Surfaces from Noisy 3D Fluorescence Microscopy Data

A fully automated algorithm to determine the location and curvatures of an object’s surface from 3D fluorescence images.

Selective Plane Illumination for throughput three-dimensional time course imaging

The invention is a novel arrangement that provides high throughput 3D time coursing imaging solution. The setup, simply applied to the conventional inverted microscope, not only improves the imaging speed, resolution and field view, but also provides new capabilities for monitoring a much broader range of samples with various thicknesses and nature. These features combined open new frontiers for imaging applications, including tracking the development of cells in tissues, one of the ultimate goals for imaging.

Ultrasound-Guided Delivery System For Accurate Positioning - Repositioning Of Transcatheter Heart Valves

Utilizing intravascular ultrasound for accurate placement of transcatheter heart valves to improve surgical outcomes.

Automated Reconstruction Of The Cardiac Chambers From MRI

This is a fast, fully automated method to accurately model a patient’s left heart ventricle via machine learning algorithms.

Imaging Platform Based On Nonlinear Optical Microscopy For Rapid Scanning of Large Areas Of Tissue

Researchers at UCI have developed a nonlinear optical microscopy (NLOM) instrument for the rapid and non-destructive imaging of wide areas and large volumes of biological tissue. Imaging can be performed either ex vivo or in vivo, and with sub-micron resolution at higher scanning speeds than previously possible.

Sub-Carrier Successive-Approximation Mm-Wave Radar For High-Resolution 3D Imaging

UCLA researchers in the Department of Electrical Engineering have developed a sub-carrier successive approximation radar (SAR) system with a sufficiently high accuracy to capture three-dimensional images of objects concealed either under the clothing of a person, or within small packages. 

Method and apparatus for three-dimensional imaging of molecular bonds

Researchers at UCI have developed a 3D imaging technique with sub-nanometer resolution, which allows for imaging of individual bonds within molecules. Visualization and measurements taken at this resolution provide new and profound information about the fundamental aspects of atomic structures and their consequences on chemical activity.

Apparatus And Method For Optically Amplified Multi-Dimensional Spectrally Encoded Imaging

Scientists at UCLA have developed an advanced optical imaging technique that uses spectral brushes to capture image data across an entire sample area at once, a technique that enables faster imaging and higher sensitivity over current methods.

Method To Characterize Cut Gemstones Using Optical Coherence Tomography

The invention uses optical coherence tomography to created a three-dimensional map of cut gemstones, both loose and in settings. This map will provide gemologists with information about the location and characteristics of defects, as well as providing a more accurate measure of weight for cut gemstones that are analyzed in their settings. This information can be used to accurately determine the overall quality and monetary value of cut gemstones.

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