|Latest technologies from The University of Arizona|
|Microcavity Surface Bioconjugation Using Unilamellar Lipid Membranes For Label Free, Ultrasensitive Detection Of Alzheimer's Biomarkers|
|Mon, 11 Mar 2019 11:07:58 GMT|
This invention outlines a new way of preparing a microtoroid optical resonator for the purpose of detecting amyloid-β plaque. Traditional ways of surface functionalization leave roughness on the optical resonator, making it difficult to achieve a higher Q-factor. This invention provides a new way of smoothing the surface of a resonator so that ultrasensitive detection can be achieved, providing high Q-factors as well as reduced scattering loss which is important when detecting key biomarkers such as amyloid-β.
Optical resonators are a key component of biosensors that are used in many different applications. However, the resonator has to have a smooth surface to allow the capture of light at different wavelengths. The ability of a resonator to capture light effectively is referred to as its Q-factor (quality factor). Traditional ways of smoothing the surface of a resonator still leave too much residual roughness that leads to a lower q-factor, and thus less accurate detection of biomarkers.
|Integrated Frequency Locked Optical Whispering Evanescent Resonator (FLOWER) based on Raspberry Pi|
|Mon, 11 Mar 2019 13:08:15 GMT|
Raspberry Pi is a card-sized mini-computer that acts as a data processing center that replaces the prior commercial frequency locking system. It greatly reduces the size and the weight of the FLOWER system, making it possible for the FLOWER system to be carried by people or mounted on a drone.
FLOWER (frequency locked optical whispering evanescent resonator) is a currently patented system (9,739,770B2) which can measure low concentrations of biological and chemical molecules down to the single molecule limit. Although FLOWER is able to sense low concentrations of molecules, it occupies a large footprint and currently fits on a 4’ x 6’ optical table in the lab. This technology miniaturizes FLOWER, making it lightweight and portable.
|Radial Fast Spin-Echo (FSE) MRI Pulse Sequence|
|Thu, 26 Feb 2015 13:34:34 GMT|
This invention is a software method that combines radial imaging (taking MRI data radially--from the center, out) with fast spin-echo (FSE) imaging to create faster, more accurate images.
|An FPGA Implementation of a Gb/s OFDM Transmitter and Receiver for Fiber Telecommunication Applications|
|Wed, 17 Jun 2020 11:53:24 GMT|
University of Arizona researchers have invented a Field-Programmable Gate Array (FPGA) implementation of Orthogonal Frequency Division Multiplexing (OFDM) transmitter (Tx) and receiver (Rx). The design has two variants. One for direct detection OFDM and one for coherent OFDM based on self-coherent reception.
Orthogonal Frequency Division Multiplexing (OFDM) is a form of signal waveform or modulation that provides some significant advantages for data links. It is used for many of the latest wide bandwidth and high data rate wireless systems including Wi-Fi and cellular telecommunications. Field-programmable gate array (FPGA) is an integrated circuit designed to be configured by the user. They contain an array of programmable logic block that can be inter-wired in different configurations.
|A Photorefractive, High Refractive Optical Polymers from Styrenic Sulfide Monomers|
|Mon, 17 Sep 2018 14:47:12 GMT|
Title: A photo-definable high refractive index optical polymer from styrenic sulfide monomers
Invention: This is a novel method to create optical polymer with regions of high and low refractive index.
Background: The inventors were motivated by large technological motivation for optical polymers that are low-cost and have variable refractive index, especially in telecommunication. They have demonstrated the synthesis of a new compound, a new type of polymer, which can be used on the fabrication of new optical devices.
• Novel way to make new polymers that can have variable refractive index
• Create new optical devices
• High refractive index
• Refractive index is tunable during the polymerization process
|Quantitative Large Area Binding Sensor For Detecting Biomarkers|
|Sat, 09 Mar 2019 16:36:54 GMT|
Title: Quantitative Large Area Binding Sensor For Detecting Biomarkers
Invention: Researchers at the University of Arizona have developed a lens-free holographic microscope (LFHM) for observing and quantifying target biomarkers in a solution, including targets with a large dynamic range in concentration. LFHM can be used to detect microscale targets (e.g., bacteria and cells) and nanoscale targets (e.g., viruses, DNA strands, and cancer biomarkers).
* can image a large range of target sizes
* accommodates a large dynamic range in concentration
* has a large field of view
* cancer biomarker detection
|Fast Volumetric Imaging Of Fluorescent Tissue Structures And Activities|
|Wed, 27 Mar 2019 13:11:59 GMT|
Researchers at the University of Arizona have developed a novel microscope imaging technique that generates high-resolution large-volume 3D images of tissue at subcellular resolution, and captures transient activities within the volume at 100 volume frames per second (vps). The invention breaks away from the traditional plane-scanning approach and implements volumetric projection imaging instead.
In order to study complex dynamics of tissue in live animals, ideally the microscope needs to maintain the sub-micron resolution in deep tissue to resolve activities in subcellular structures, cover a large volume to analyze complex networks, and refresh the volumetric image at high speed to capture transient dynamics. However, despite many processes, at present there are no known microscopic techniques that fully satisfy the need for resolution, penetration, volume and speed.
• Fast 3D subcellular imaging for organs, tissues, and other body parts
• Intrinsic high 3D resolution
• Simplified image processing
• Faster frame rates; can accommodate movement in sample
• Large image area/field of view
• Twice the photon sensitivity for increased photon efficiency
|Rayleigh-Raman Polychromatic Laser Guide Star|
|Wed, 25 Mar 2020 13:29:32 GMT|
Title: Rayleigh-Raman Polychromatic Laser Guide
Invention: A Rayleigh-Raman polychromatic laser guide star is implemented in an adaptive optics system to allow for the measurement of the tilt at the wavelength of observation. This makes use of the dispersion of the refractive index of and on or more differential tilt measurements at multiple wavelengths returned from the Rayleigh-Raman spectrum.
Background: Adaptive optics systems require wavefront tilt compensation. Existing tilt measurement systems rely on light from a source that traverses the medium in a single. Laser guide stars create a reference source anywhere in the field of view to enable a wavefront measurement through turbulence. However, many existing laser guide stars cannot act as a tilt measurement reference source due to the double pass nature of the reference light. The technology is an improvement upon current technologies and will allow for the measurement of the tilt at the wavelength of observation. This method is scalable and offers flexibility in selecting multiple lasers of different wavelengths to measure from.
• Satellite imaging
• Advanced imaging systems
• Free Space Optical communication
• Laser weapons
• Increased range
|A Broadband Apparatus for Generating and Sampling Polarization States|
|Thu, 15 May 2014 13:23:07 GMT|
Researchers at the University of Arizona have developed thin-film polarization devices that generate and/or sample light-polarization states over a broad band (wide wavelength range) and over wide angles. The polarizers incorporate and exploit multiple polarization layer groups and can be integrated into a microarray and incorporated into a light source or a polarization camera.
Polarization is one of the primary characteristics of light. Current polarizers can measure or create both linear and circularly polarized light, but they are limited to operating over a narrow range of wavelengths and angles. There is a need for for polarizer-based devices that are operable over wider ranges of wavelengths and angles.
Refer to Technology UA13-104
|Dual Contrast Agents Improve Dynamic Contrast Enhancement Magnetic Resonance Imaging (DCE-MRI) of Vascular Permeability, Angiogenesis|
|Fri, 14 Sep 2012 16:20:31 GMT|
Scientists at the University of Arizona have developed a contrast agent model for DCE-MRI that allows an MRI to selectively detect two contrast agents at the same time. This invention includes software that allows the reference agent model to be used with all DCE-MRI equipment. The reference agent model accounts for the variable blood flow and hematocrit in each patient. It improves an MRI's ability to monitor contrast agent concentration in even the tiniest blood vessels. This reference agent model was successfully tested with two fluorinated contrast agents, designed specifically for this imaging system, in a mouse model of breast cancer.
Traditional Dynamic Contrast Enhancement Magnetic Resonance Imaging (DCE-MRI) technology can only recognize one contrast agent or imaging agent when measuring vascular permeability and angiogenesis in tumors. This imaging agent limitation inhibits the accuracy and efficacy of DCE-MRI tumor scans.
Julio Cesar Cardenas Rodriguez
|Solar generator with two-stage optical concentration onto PV cells|
|Wed, 29 Apr 2020 11:42:50 GMT|
Title: Solar Generator with Two-Stage Optical Concentration Onto PV Cells
Invention: A photovoltaic (PV) solar power generator that leverages optical design principles to obtain high power conversion performance and the robustness of operation at lower cost.
Background: As competition continues to grow within the solar power market, more efficient and less costly solar power systems are in high demand. This technology addresses that demand by providing a high performance optical design that focuses light onto multi-junction PV cells, thereby increasing efficiency and reducing cost for the power generated.
|Obstetrics Critical Care VR Training Volume 1, Episodes 1 & 2|
|Mon, 13 Feb 2017 13:12:00 GMT|
Title: Virtual Reality Technology Used to Provide Experiential Education in the Management of Obstetric Critical Care Emergencies
Invention: The invention is a series of educational videos created to be viewed with virtual reality (VR) technologies to provide an experiential learning experience specific to crisis management for obstetric care providers.
Background: VR technology is poised to be a disruptive technology that will change the education of health care. VR technology can empower faculty to teach with a focus on increasing resources on monitoring learning physicians in critical thinking, pattern recognition, situational awareness, and comprehensive care instead of didactic knowledge.
|Graphical User Interface for Electrophysiology Studies in Small Animals|
|Tue, 19 Jan 2016 14:00:07 GMT|
Title: Graphical User Interface (GUI) for Electrophysiology Studies
Invention: This technology presents a GUI in conjunction with software written for recording and storing signals related to electrophysiological studies. Once recorded, this data can be filtered, extracted, and mapped, in color, to visualize properties. Developed along with corresponding techniques used in rat electrophysiology studies, this technology may provide further insight before testing proceeds to human subjects.
Background: Nearly 2,000 electrophysiology labs in the U.S. and an expected 12 million atrial fibrillation patients by 2050 indicate that the market will continue to demand advanced EP devices that decrease ablation procedure times and improve success rates.
|Improved Assessments of Vascular Permeability Using a Linear Reference Region Model for Dynamic Contrast Enhancement Imaging Studies|
|Fri, 17 Feb 2012 14:48:26 GMT|
The investigators have developed significant improvements to the Reference Region Model that uses the pharmacokinetics in a large region of muscle tissue as a reference for the tumor tissue; this is much easier to monitor compared to tiny blood vessels. Moreover, the standard Reference Region Model uses a non-linear fitting routine that is slow, depends on initial guesses of the parameters to be determined, and fails to analyze up to 40% of image pixels. The invention’s linear fitting routine for this model is ~60 times faster, does not require initial guesses, and precisely fits all image pixels, enabling the algorithm much more practical in clinical settings.
Angiogenesis, or the growth of new blood vessels, is a hallmark of tumor biology. Rapidly growing tumors have blood vessels that are immature and incompletely developed, leading to "leaky" tumor vasculature with increased permeability relative to normal tissues. Anti-angiogenic chemotherapies are designed to decrease the growth of new blood vessels and decrease vascular permeability. A variety of non-invasive imaging methods, including optical imaging, PET and SPECT radionuclide imaging, and magnetic resonance imaging (MRI) can be used to temporally monitor the perfusion of an imaging contrast agent in the tumor tissue, known as Dynamic Contrast Enhancement (DCE) imaging. A variety of computational methods are used to analyze the DCE imaging results to measure the vascular permeability in tumors. DCE MRI, DCE PET, DCE SPECT, and DCE fluorescence imaging have each been developed to assess tumor angiogenesis.
DCE imaging is not routinely used in the clinic because monitoring the dynamic changes in the concentration of the imaging agent in tiny blood vessels has been difficult and variable blood flow and hematocrit can complicate the interpretation of results. To overcome this problem, other researchers have developed the Reference Region Model (RRM) for DCE imaging, which uses the uptake and wash-out of the agent in a large muscle tissue as a reference that replaces the Arterial Input Function of the tiny blood vessels. Because imaging large muscle tissue is technically much easier than imaging tiny blood vessels, the RRM is considered to be a major improvement for this methodology.
Dr. Mark “Marty” Pagel
Licensing Manger, Tech Launch Arizona
UA ID: UA12-084
|Wed, 18 Mar 2020 11:30:12 GMT|
Tech ID: UA19-055
Title: Curved Combiner
Invention: The Curved Combiner is an improvement on flat waveguide head-up (i.e. windshields) and near to eye displays (i.e. glasses). The curved nature of the present invention allows for image expansion and aesthetically pleasing hardware to be used in a diversified set of applications. The present invention contains three holograms to redirect or expand the light that passes through the curved waveguide. Each hologram has a different function to ensure that the image has no aberrations which can occur when using curved waveguides.
Background: Waveguides are currently being produced using flat glass pieces. The advantage of flat waveguides is the small chance of image aberrations when injecting an image through the waveguide. However, flat waveguides limit the opportunity for image expansion and real-world applications. Current systems are bulky and limit integration capabilities. To address this issue, the present invention describes a curvature of the waveguide. The curvature allows the invention to be integrated into more modern applications.
• Car windshields
• Modern glasses
• Airplane canopies
• Ticket counters
• Smart windows
• Doors of ovens, refrigerators, & freezers
• Contact lenses
• Augmented Reality
• Retail store window
• Image expansion
• Curvature capability of screen
• Aesthetic appeal
• Increased comfort for viewer
• Elimination of image distortion and aberrations in current waveguides
|Inverse Optical Design of the Human Eye|
|Wed, 18 Mar 2020 09:39:25 GMT|
Background: Adaptive optics technology using wavefront sensors is currently making profound contributions to vision science and ophthalmology. It provides eye specialists with superior techniques for studying and correcting human vision, and for the early detection and treatment of visual diseases. Researchers at The University of Arizona and the National University of Ireland, Galway, are developing an innovative method to estimate the full set of patient-specific ocular parameters using wavefront sensors. This 'inverse optical design' method maps the entire eye and shows potential for very low uncertainties. It promises a complete patient-specific eye model, providing substantial improvements in vision science and ophthalmology such as vision correction, retinal imaging, and surgical procedures, enabling research and applications previously unapproachable.
The Technology: The 'inverse optical design' approach is the opposite of traditional optical design. Data consist of raw detector outputs from a Shack-Hartmann wavefront sensor, and parameters in the eye model are then determined via maximum-likelihood estimation methods.
Stage of Development: The technology has been reduced to practice.
Inventors: Prof. Harrison H. Barrett, Alexander V. Goncharov, Ph.D., and Julia A. Sakamoto
Status: US Patent No.: 7,832,864 issued on Nov. 16, 2010. The University is seeking companies interested in incorporating this technology into there optical testing equipment with application to vision correction, retinal imaging, and surgical procedures.
Refer to Case No. UA07-055
|Tissue Characterization with Partial Volume Correction Using Highly Undersampled Data and a Joint Fitting Algorithm|
|Tue, 07 Feb 2012 15:47:59 GMT|
This technology provides techniques to a fast and accurate parameter estimation in the presence of partial volume from MRI data acquired. A specific technique application for liver lesion imaging is provided in this disclosure. The inventors employ Joint Bi-Exponential Fitting (JBF) algorithm in context of T2 estimation for small structure determination within background, overcoming the partial volume effect.
While MRI technical improvements have transformed this modality for clinical application over the past 15 years, there remains a number of pressing technical requirements for a more extensive use in clinical applications. A major aim in MRI development is the need to achieve shorter acquisition times, particularly for imaging tissues that move (as a result from physiological effects such as respiration) or in types of imaging where obtaining the required information involves long acquisition times rendering the method impractical under clinical conditions. The goal of quantitative imaging modalities is to estimate a parameter that is associated with a specific property of the sample being imaged. Because samples of clinical or industrial importance are typically made up of more than one component, parameter estimation typically involves algorithms that can handle multi-component data. Conventional multiple component parameter fitting algorithms, however, are affected by the level of noise in the measurement data set yielding large uncertainties of the estimated parameter.
|Method for Reconstruction of Magnetic Resonance Images|
|Fri, 16 Apr 2010 11:08:45 GMT|
This technology presents an improved Compressed Sensing (CS) method. This method analyzes every iteration in the CS reconstruction process and refines the solution. This process gives statistically more reliable solutions and provides for better reconstructed image quality with reduced signal to noise ratios. This method improves reconstruction times by 13X to 20X over conventional methods while providing more accurate results.
Long-data acquisition times are problematic when performing Magnetic Resonance Imaging (MRI) diagnostics. These long data acquisition times result in the inefficient use of scarce MRI machines and increased patient discomfort. In a previous technology, a method called Compressed Sensing was described to improve upon these issues.
Dr. Ali Bilgin
Licensing Manger, Tech Launch Arizona
Refer to technology # UA10-056
|T2 Relaxometry with Indirect Echo Compensation from Highly Undersampled Data|
|Thu, 24 May 2012 16:12:55 GMT|
Background: While MRI technical improvements have transformed this modality for clinical application over the past 15 years, there remains a number of pressing technical requirements for continued progress towards more extensive utilization in clinical applications. A major current aim in furthering MRI development and applications is the need to achieve shorter acquisition times, particularly for imaging tissues that move (as a result from physiological effects such as respiration) or in types of imaging (as is the case for parametric imaging) where obtaining the required information involves long acquisition times rendering the method impractical under clinical conditions.
The SEPG algorithm has been recently proposed for T2 estimation with indirect echo compensation, however, this algorithm is not capable of performing the estimation using highly undersampled data. Slice-resolve Extended Phase Graph (SEPG) signal model has been proposed to estimate decay curves that consider indirect echoes. The main problem of incorporating the SEPG approach into a model-based reconstruction (in order to obtain accurate T2 estimates from highly undersampled data) is that the signal model is highly non-linear.
Invention: This invention enables accurate T2 estimation from highly undersampled data with indirect echo contamination. The technique is based on an iterative algorithm where the signalmodel (which is derived from a model that takes into account the presence of indirect echoes) is linearized using principal component analysis. The goal of the proposed SlicE Resolved ExteNd phAse graph baseD rEconstruction of principal component coefficient maps (SERENADE) algorithm is to obtain accurate T2 estimates from data acquired in a short period of time (as short as a breath hold). Currently there are a few algorithms capable of performing T2 estimation from highly undersampled data. These algorithms ignore the indirect echo contamination which results in T2 overestimation especially when non-180° refocusing pulses are prescribed (as in athe case in high field magnets).
Applications: The common denominator is to able to estimate a parameter called the T2 relaxation time in a very short period of time. Changes in T2 are Indicative of a wide variety of pathologies including inflammatory processes, tumor formation, iron deposition, etc. In the case of abdominal and cardiothoracic imaging the technique has a tremendous advantage because it allows for accurate T2 mapping (by compensating for the effects of indirect echoes) from data acquired in just a single breath hold. Currently, no other techniques are available to achieve this degree of acceleration when high temporal and spatial resolution is required for tissue characterization. Thus, the proposed technology could represent a considerable opportunity regarding commercial value, such as through licensing arrangements.
Lead Inventor: Maria Altbach
|Motion-Compensated Compressed Sensing for Dynamic Imaging|
|Wed, 01 Dec 2010 13:21:17 GMT|
This invention develops a model based on Compressed Sensing techniques for application in Magnetic Resonance Imaging (MRI), wherein MR images can be reconstructed from significantly reduced data sets. The invention provides methods for reconstruction of time-varying signals from limited number of measurements. MR images can be reconstructed from significantly reduced data sets. This is done using motion estimation and compensation techniques in CS models to reconstruct more accurate estimates of support for image sequences with substantial motion.
The recently introduced Compressed Sensing (CS) theory explains how sparse or compressible signals can be reconstructed from far fewer samples than what was previously believed possible. The CS theory has attracted significant attention for applications such as Magnetic Resonance Imaging (MRI) where long acquisition times have been problematic. This is especially true for dynamic MRI applications where high spatio-temporal resolution is needed. For example, in cardiac cine MRI, it is desirable to acquire the whole cardiac volume within a single breath-hold in order to avoid artifacts due to respiratory motion. Conventional MRI techniques do not allow reconstruction of high resolution image sequences from such limited amount of data. Vaswani et al. recently proposed an extension of the CS framework to problems with partially known support (i.e. sparsity pattern). In their work, the problem of recursive reconstruction of time sequences of sparse signals was considered. Under the assumption that the support of the signal changes slowly over time, they proposed using the support of the previous frame as the "known" part of the support for the current frame. While this approach works well for image sequences with little or no motion, motion causes significant change in support between adjacent frames. In this invention, the inventors illustrate how motion estimation and compensation techniques can be used to reconstruct more accurate estimates of support for image sequences with substantial motion (such as cardiac MRI).
Dr. Ali Bilgin