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.  

Robotic comfort systems have been developed which use fans to deliver heated/cooling air to building occupants to provide greater levels of personal comfort.  However, current robotic systems rely on surveys asking individuals about their comfort state through a web interface or app.  This reliance on user feedback becomes impractical due to survey fatigue on the part of the user.  Researchers at the University of California, Berkeley have developed a system which uses a visible light camera located on the nozzle of a robotic fan to detect human facial features (e.g., eyes, nose, and lips).  Images from a co-located thermal camera are then registered onto the visible light image and temperatures of different facial features are captured and used to infer the comfort state of the individual.  Accordingly, the fan/heater system blows air with a specific velocity and temperature toward the occupant via a closed-loop feedback control.  Since the system can track a person in an environment, it addresses issues with prior data collection systems that needed occupants to be positioned in a specific location.

UC Berkeley researchers have developed novel imaging techniques with the use of a multiphoton magnetic resonance imaging apparatus. By taking a particular rotating frame transformation the researchers found that multiphoton excitations appear just like single‐photon excitations and can also use concepts explored in standard single‐photon excitation. One prototype included a low frequency coil while another prototype included no additional hardware but instead used oscillating gradients as a source of extra photons for excitation.  The methods and multiphoton MRI can be used to transform a standard slice selective adiabatic inversion pulse into a multiband version without modifying the RF pulse itself. The addition of oscillating gradients creates multiphoton resonances at multiple spatial locations and allows for adiabatic inversions at each location.

The inventors developed a ratiometric fluorescent small molecule probe for potassium ion detection composed of a duo-fluorophore system (KR-1). UV-vis detector and fluorometer measurement support ratiometric response of the probe towards potassium ion concentration. The probe was further applied to cellular potassium level detection using confocal microscope imaging technique. KR-1 enables simple determination of potassium levels in various cancer or non-cancer cell lines.

This materials platform enables flexible engineering of infrared (IR) emissivity and development of thermal radiation devices beyond the Stefan-Boltzmann law. The materials structure is based on thin films of vanadium oxide (VO2) with judiciously designed graded W doping across a thickness less than the skin depth of electromagnetic screening (~100 nm). The infrared emissivity can be engineered to decrease in an arbitrary manner from ~ 0.75 to ~ 0.35 over a temperature range up to 50 C near room temperature. The large range of emissivity tuning and flexible adjustability is beyond the capability of regular materials or structures. This invention provides a new platform for unprecedented manipulation of thermal radiation and IR signals with a wide variety of applications, such as:  The emissivity can be programmed to precisely counteract the T^4 dependence in the Stefan-Boltzmann law and achieve a temperature dependent thermal radiation. Such a design enables a mechanically flexible and power-free infrared camouflage, which is inherently robust and immune to drastic temporal fluctuation and spatial variation of temperature. By tailoring structure and composition, the materials platform can create a surface with robust and arbitrary IR temperature image, regardless of the actual temperature distribution on the targets. This design of infrared "decoy" not only passively conceals the real thermal activity of the object, but also intentionally fools the camera with a counterfeited image. The materials platform can achieve strong temperature dependence of reflectivity over a broad wavelength from near-IR to far-IR, which is promising for high-sensitivity remote temperature sensing by thermoreflectance imaging, or active reflectance modulation of IR signals. 

Nuclear medicine is a diagnostic imaging method that works very well, but it is both expensive and gives off excess radiation. X-rays also are used for diagnostic imaging but have poor contrast. Magnetic Particle Imaging (MPI)is a promising new tracer modality with zero attenuation in tissue, near-ideal contrast and sensitivity, and an excellent safety profile, however, the spatial resolution of MPI is currently the modality’s only weak technical attribute. UC Berkeley and UF researchers have developed a novel, compact, and intuitive MPI scanner that resolves this issue.  The research demonstrated proof-of-concept studies for an MPI modality, referred to herein as strongly-interacting magnetic particle imaging (siMPI) that enables a super-resolution breakthrough. The siMPI provided more than a 6-fold improvement in every dimension of space spatial resolution and 37-fold increase in sensitivity. The MPI can be used for early-stage detection of cancer, gut bleeds, strokes, pulmonary embolism, and tracking immunotherapies and MPI can penetrate any tissue, including bone, lungs, and dense breast tissue.

Class 2 CRISPR-Cas systems are streamlined versions in which a single Cas protein (an effector protein, e.g., a type V Cas effector protein such as Cpf1) bound to RNA is responsible for binding to and cleavage of a targeted sequence. The programmable nature of these minimal systems has facilitated their use as a versatile technology that continues to revolutionize the field of genome manipulation.    Cas12 is an RNA-guided protein that binds and cuts any matching DNA sequence. Binding of the Cas12-CRISPR RNA (crRNA) complex to a matching single-stranded DNA (ssDNA) or double-stranded DNA (dsDNA) molecule activates the protein to non-specifically degrade any ssDNA in trans. Cas12a-dependent target binding can be coupled to a reporter molecule to provide a direct readout for DNA detection within a sample.  UC Berkeley researchers have developed compositions, systems, and kits having labeled single stranded reporter DNA molecules that provide a sensitive readout for detection of a target DNA. 

A novel class of puromycin activity-based sensing probes containing analyte-specific responsive triggers have been synthesized and utilized for molecular imaging and histochemistry. After specific reaction between the trigger on the probe and target analyte, free puromycin molecules will be released and incorporated into nascent peptides. These incorporated puromycin can be detected after immunostaining, thus offering a highly sensitive method for detection of target analytes due to no leakage problem (as found in some reported fluorescent probes) and high signal-to-noise level from immunostaining. The syntheses of the probes are highly versatile, and representative examples for detection of reactive oxygen species (ROS), reactive sulfur species (RSS), reactive carbonyl species (RCS), ROS scavengers, and redox active metal ions have been demonstrated. One exemplary probe is Peroxymycin-1, which contains H2O2-responsive aryl boronate conjugated to puromycin through carbamate linkage. Peroxymycin-1 shows robust performance on molecular imaging of H2O2 in cell culture and histochemical analysis of H2O2 level in tissue samples harvested from small animals. It has been further employed for detection of elevated H2O2 level in liver tissues from a murine model of non-alcoholic fatty liver disease (NAFLD), suggesting its potential for studying disease pathology associated with H2O2 as well as disease diagnosis and monitoring of treatment progress.

96 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; 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;} The biological properties of trifluoromethyl compounds (e.g, CF3) have led to their ubiquity in pharmaceuticals, yet their chemical properties have made their preparation a substantial challenge, necessitating innovative chemical solutions.  For example, strong, non-interacting C-F bonds lend metabolic stability while simultaneously limiting the ability of chemical transformations to forge the relevant linkages and install the CF3 unit.  When these same synthetic considerations are extended toward the synthesis of trifluoromethylated positron emission tomography (PET) tracers, the situation becomes more complex.   UC Berkeley researchers discovered an unusual alternative mechanism, in which borane abstracts fluoride from the CF3 group in a gold complex. The activated CF2 fragment can then bond to a wide variety of other carbon substituents added to the same gold center. Return of the fluoride liberates a trifluoromethylated compound from the metal. This mechanism would be useful for the introduction of radioactive fluoride substituents for potential tracers to be used for positron emission tomography applications.

Researchers at Stanford and University of California, Berkeley, have developed an integrated MRI-Linac hybrid system that can increase the efficacy of image-guided radiotherapy (IGRT). This system allows more aggressive treatment strategies that employ dose escalation, tighter geometric margins and sharper dose gradients which can improve clinical outcomes. This radiotherapy treatment apparatus includes a treatment beam (charged by Linac, particle, proton, or electron beam), a magnetic field disposed parallel collinear to the treatment beam, and a target that is disposed along the treatment beam. MRI is ideal for IGRT, however, there is magnetic field and RF interference between the linear accelerator and MRI scanner. The configurations of this system overcome this issue.

The mechanical properties of cells derive from the structure and dynamics of their intracellular components, including the cytoskeleton, cell membrane, nucleus, and other organelles.  These, in turn, emerge from cell specific genetic, epigenetic, and biochemical programs, providing a link between cellular mechanics and the underlying molecular state.  Differences in mechanical properties reflect on cellular properties with clinical implications, including the metastatic potential, cell-cycle stage, and differentiation state of cells.  Yet, many mechanical aspects of various cells and sub-cell organelles remain unknown due to absence of appropriate analysis platforms. Atomic-force microscopy (AFM) and micropipette aspiration are the gold standards for performing mechanical measurements of cells, as they both provide controlled loading conditions and quantify such cellular properties as elastic modulus and cortical tension.  They are, however, burdened by slow throughput, capable of analyzing only just a few cells/hr.  Likewise, optical tweezers and microplate rheometry also suffer from low throughput.  Various microfluidic based platforms have been proposed for the high-throughput mechanical analysis of cells, including hydrodynamic stretching cytometry, suspended microchannel resonators (SMR), and real-time deformability cytometry (RT-DC).  Although each of these methods can analyze populations of cells in a relatively short time, they focus only on a single cellular property.  Consequently, these platforms, and the low-throughput traditional methods that under-sample, can neither identify cellular heterogeneity nor classify mechanical sub-phenotypes within a population. Investigators at UC Berkeley have developed a microfluidic platform, “mechano-node-pore sensing” (mechano-NPS), a rapid and multi-parametric cell screening platform, that simultaneously quantifies cell diameter, transit time through a contraction channel, transverse deformation under constant strain, and recovery time after deformation.  This platform efficiently reveals malignant-dependent mechanical phenotypes of cancer and normal epithelial cells, discriminates between sub-lineages of cells with accuracy comparable to flow cytometry, and determines the effects of chronological age and malignant progression on cell elasticity and recovery from deformation – based solely on a cell’s mechanical properties.

Single-crystal x-ray diffraction is a powerful technique for the definitive identification of chemical structures.  Although most molecules and molecular complexes can be crystallized, often enthalpic and entropic factors introduce orientational disorder that prevent determination of a high-resolution structure.  Several strategies based on the inclusion of guests in a host framework that helps maintain molecular orientation have been used to overcome this challenge.  However, most of these methods rely primarily on weak interactions to induce crystalline order of the included molecules. Researchers at UC Berkeley have developed a strategy for crystallization of molecules within the pores of chiral metal-organic frameworks (MOFs) using coordinative bonding, which includes covalent and ionic bonds, and/or using chirality.  

96 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Calibri; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} The ∼10% optical contrast of graphene on specialized substrates like oxide-capped silicon substrates, together with the high-throughput and noninvasive features of optical microscopy, have greatly facilitated the use and research of graphene research for the past decade.  However, substantially lower contrast is obtained on transparent substrates. Visualization of nanoscale defects in graphene, e.g., voids, cracks, wrinkles, and multilayers, formed during either growth or subsequent transfer and fabrication steps, represents yet another level of challenge for most device substrates.     UC Berkeley researchers have developed a facile, label-free optical microscopy method to directly visualize graphene on transparent inorganic and polymer substrates at 30−40% image contrast per graphene layer.  Their noninvasive approach overcomes typical challenges associated with transparent substrates, including insulating and rough surfaces, enables unambiguous identification of local graphene layer numbers and reveals nanoscale structures and defects with outstanding contrast and throughput. We thus demonstrate in situ monitoring of nanoscale defects in graphene, including the generation of nano-cracks under uniaxial strain, at up to 4× video rate.  

Realizing the potential of massive sensor networks requires overcoming cost and power challenges. When sleep/wake strategies can adequately limit a network node's sensor and wireless power consumption, then the power limitation comes down to the real-time clock (RTC) that synchronizes sleep/wake cycles. With typical RTC battery consumption on the order of 1µW, a low-cost printed battery with perhaps 1J of energy would last about 11 days. However, if a clock could bleed only 10nW from this battery, then it would last 3 years. To attain such a clock, researchers at UC Berkeley developed a mechanical circuit that harnesses squegging to convert received RF energy (at -58dBm) into a local clock while consuming less than 17.5nW of local battery power. The Berkeley design dispenses with the conventional closed-loop positive feedback approach to realize an RCT (along with its associated power consumption) and removes the need for a sustaining amplifier altogether. 

Piezoelectric Micromachined Ultrasonic Transducers (pMUTs) have attracted industry attention for their good acoustic matching, small geometry, low cost-by-batch fabrication, and compatibilities with CMOS and consumer electronics. While planar pMUTs have reasonable performance over bulk piezoelectric transducers, certain deficits remain in terms of coupling and acoustic pressure outputs, DC displacements, bandwidth, and power consumption. To address these deficiencies, researchers at the University of California, Berkeley, have developed a next generation of shaped pMUTs which are no longer fully defined by resonance frequency and can accommodate larger pressure outputs and bandwidths. This new pMUT apparatus can significantly boost overall performance while dramatically reducing power as compared to flat diaphragm state-of-the-art pMUTs.

Light is a wave, having both an amplitude and phase. Our eyes and cameras, however, only see real values (i.e. intensity), so cannot measure phase directly. Phase is important, especially in biological imaging, where cells are typically transparent (i.e. invisible) but yet impose phase delays. When we can measure the phase delays, we get back important shape and density maps.   Researchers at the University of California, Berkeley have developed a new method for recovering both phase and amplitude of an arbitrary sample in an optical microscope from a single image, using patterned partially coherent illumination. The hardware requirements are compatible with most modern microscopes via a simple condenser insert, or by replacing the entire illumination pathway with a programmable LED array, providing flexibility, portability, and affordability, while eliminating many of the trade-offs required by other methods. This enables quantitative imaging of phase from a single image, using partially coherent illumination, and in a way that is flexible and amenable to a variety of existing microscopy systems. 

The use of electric fields for signaling and manipulation is widespread, mediating systems spanning the action potentials of neuron and cardiac cells to battery technologies and lab-on-a-chip devices. Current FET- and dye-based techniques to detect electric field effects are systematically difficult to scale, costly, or perturbative. Researchers at the University of California Berkeley have developed an optical detection platform, based on the unique optoelectronic properties of two-dimensional materials that permits high-resolution imaging of electric fields, voltage, acidity, strain and bioelectric action potentials across a wide field-of-view.

Wireless sensors and the Internet of Things (IoT) have the potential to greatly impact society. Millimeter-scale wireless microsystems are the foundation of this vision. Accordingly, to realize this potential, these microsystems must be extremely low-cost and energy autonomous. Integrating wireless sensing systems on a single silicon chip with zero external components is a key advancement toward achieving those cost and energy requirements.  Almost all commercial microsystems today use off-chip quartz technology for precise timing and frequency reference. The quartz crystal (XTAL) is a bulky off-chip component that puts a size limitation on miniaturization and adds to the cost of the microsystem. Alternatively, MEMS technology is showing promising results for replacing the XTAL in space-constrained applications. However, the MEMS approach still requires an off-chip frequency reference and the resulting packaging adds to the cost of the microsystem.  To achieve a single-chip solution, researchers at UC Berkeley developed: (1) an approach to calibrating the frequency of an on-chip inaccurate relaxation oscillator such that it can be used as an accurate frequency reference for low-power, crystal-free wireless communications; and (2) a novel ultra-low power radio architecture that leverages the inaccurate on-chip oscillator, operates on energy harvesting, and meets the 1% packet error rate specification of the IEEE 802.15.4 standard. 

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.  

The invention concerns the use of homoallylamines which undergo a 2-aza-Cope reaction upon condensation with formaldehyde (FA) which can be coupled to a ftuorogenic, colorimetric, or biolurninescent response. Traditional methods for biological FA detection rely on sample destruction and/or extensive processing, resulting in a loss of spatiotemporal information. The invention, as showcased by the tw'! chemical probes FAP-1 and FP-1, enables detection of biological FA with high selectivity in aqueous buffer and in living samples in a non-invasive manner. The hornoallylamine trigger can be generalized to cage a large variety of different fluorophores, chromophores, and bioluminescent molecules (e.g. tuciferin). 

Current super-resolution microscopy (SRM) methods have excellent spatial resolution, but no spectral information. Issues such as heavy color crosstalk, compromised image quality, and difficulties in aligning 3D coordinates of different color channels mean that high-quality multicolor 3D SRM remains a challenge. Another current imaging technique, single-molecule spectroscopy, is also limited in use because current methods are low throughput, have low spatial resolution, and cannot be used effectively for densely labeled biological samples.   UC Berkeley researchers have developed a 3-D super-resolution microscopy and single molecule spectroscopy system that addresses the issues inherent to both of these imaging techniques. By synchronously measuring the fluorescence spectra and positions of millions of single molecules within minutes, both spectrally resolved SRM and ultrahigh-throughput single-molecule spectroscopy are made possible.

The ability to see depth is a key visual function, as three-dimensional vision is used to guide body movements. Although many visual cues are used to infer spatial relationships, depth perception relies primarily on stereopsis, or the perception of depth based on differences in the images in the two eyes. More than 5% of the US population, however, is unable to see in three dimensions due to stereo-blindness and stereo-anomaly. Without depth perception, basic activities such as catching a ball or driving a car are not possible. Current therapeutic methods to address this issue include a set of eye-training exercises that aim to equalize the input from the eyes to the brain, which are collectively called orthoptics.   Researchers at UC Berkeley have developed an orthoptic method to train stereo depth perception. This method includes devices and systems for implementation, and it can be used in the home. 

Better understanding the brain's architecture and the behavior of neural networks requires non-invasive probes capable of monitoring brain activity at the scale of individual neurons.  Functional neuro-imaging methods have the advantage of being minimally invasive and can potentially resolve individual action potentials.  An ideal imaging method would be capable of quantifying many neurons simultaneously, have high spatial and temporal resolution, be non-invasive, and be accurate even in deep layers of brain tissue. There are a variety of current techniques available, many of which use mechanical scanning to reduce the effects of optical scattering and therefore have low temporal resolution. UC Berkeley researchers have developed a device capable of quantitative functional neuro-imaging in the thick brain tissue of live animals. By combining a detection method with algorithmic data processing, this device achieves single neuron resolution and fast sampling rates with high spatial and temporal resolution.  

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.  

Time-resolved phase contrast MRI (4D flow) can quantify cardiac function and flow. The technique may even permit complex anatomical assessment, thus comprising a comprehensive exam in a single scan. Unfortunately, artifacts from respiratory motion compromise this ability. Therefore, we developed a simple method to measure motion using readily available navigation information from the velocity-encoding gradients without any significant modification to conventional sequences.