Patents Assigned to Arizona Board of Regents on behalf of Arizona State University
  • Patent number: 11814677
    Abstract: Provided herein are methods and systems for sensitive and multiplexed in situ analysis of samples such as biological samples using cleavable hapten linked targeting agents and cleavable detectably-labeled hapten-binding agents. In particular, provided herein are methods for multiplexed single-cell in situ biomolecule profiling in samples, including fixed or fresh tissues, and also allows the investigation of the different cell compositions and their spatial organizations in intact tissues through consecutive cycles of probe hybridization, fluorescence imaging, and signal removal.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: November 14, 2023
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Jia Guo, Joshua LaBaer
  • Patent number: 11814659
    Abstract: Described herein are polyhedral, three-dimensional tunable nanocages assembled with a multimeric protein covalently linked to a polynucleotide handle and a DNA origami base assembly including sequences complementary to the polynucleotide handles, wherein the polynucleotide handle and the complementary sequences hybridize to for double-stranded DNA helices.
    Type: Grant
    Filed: March 11, 2020
    Date of Patent: November 14, 2023
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Nicholas Stephanopoulos, Yang Xu
  • Publication number: 20230356862
    Abstract: A fabric-based, soft-bodied aerial robot includes contact-reactive perching and embodied impact protection structures while remaining lightweight and streamlined. The aerial robot is operable to 1) pneumatically vary its body stiffness for collision resilience and 2) utilize a hybrid fabric-based, bistable (HFB) grasper to perform passive grasping. When compared to conventional rigid drone frames the soft-bodied aerial robot successfully demonstrates its ability to dissipate impact from head-on collisions and maintain flight stability without any structural damage. Furthermore, in dynamic perching scenarios the HFB grasper is capable to convert impact energy upon contact into firm grasp through rapid body shape conforming in less than 4 ms.
    Type: Application
    Filed: May 8, 2023
    Publication date: November 9, 2023
    Applicant: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Wenlong Zhang, Karishma Patnaik, Pham Nguyen, Shatadal Mishra, Panagiotis Polygerinos
  • Patent number: 11807661
    Abstract: Disclosed herein are compositions comprising a polypeptide with at least two domains, wherein the first domain is capable of binding CD3 and the second domain is capable of binding to a cancer cell. Also disclosed herein are methods of treating cancer in a subject, comprising: providing a composition comprising a polypeptide with at least two domains, wherein the first domain is capable of binding CD3 and the second domain is capable of binding to a cancer cell; and treating the cancer by administering a therapeutically effective dosage of the composition to the subject.
    Type: Grant
    Filed: July 14, 2020
    Date of Patent: November 7, 2023
    Assignees: Dignity Health, Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Rachael Sirianni, Rebecca Cook, Tsafrir Mor, Joseph Blattman
  • Patent number: 11807944
    Abstract: Forming a lithium lanthanum zirconate thin film includes disposing zirconium oxide on a substrate to yield a zirconium oxide coating, contacting the zirconium oxide coating with a solution including a lithium salt and a lanthanum salt, heating the substrate to yield a dried salt coating on the zirconium oxide coating, melting the dried salt coating to yield a molten salt mixture, reacting the molten salt mixture with the zirconium oxide coating to yield lithium lanthanum zirconate, and cooling the lithium lanthanum zirconate to yield a lithium lanthanum zirconate coating on the substrate. In some cases, the zirconium oxide coating is contacted with an aqueous molten salt mixture including a lithium salt and a lanthanum salt, the molten salt mixture is reacted with the zirconium oxide coating to yield lithium lanthanum zirconate, and the lithium lanthanum zirconate is cooled to yield a lithium lanthanum zirconate coating on the substrate.
    Type: Grant
    Filed: March 3, 2022
    Date of Patent: November 7, 2023
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Candace Chan, Jon Mark Weller
  • Patent number: 11812341
    Abstract: A hyper-precise positioning and communications (HPPC) system and network are provided. The HPPC system is a next-generation positioning technology that promises a low-cost, high-performance solution to the need for more sophisticated positioning technologies in increasingly cluttered environments. The HPPC system is a joint positioning-communications radio technology that simultaneously performs relative positioning and secure communications. Both of these tasks are performed with a single, co-use waveform, which efficiently utilizes limited resources and supports higher user densities. Aspects of this disclosure include an HPPC system for a network which includes an arbitrary number of network nodes (e.g., radio frequency (RF) devices communicating over a joint positions-communications waveform). As such, networking protocols and design of data link and physical layers are described herein.
    Type: Grant
    Filed: November 8, 2021
    Date of Patent: November 7, 2023
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Andrew Herschfelt, Daniel W. Bliss
  • Patent number: 11806729
    Abstract: The present technology relates to improved device and methods of use of insulator-based dielectrophoresis. This device provides a multi-length scale element that provides enhanced resolution and separation. The device provides improved particle streamlines, trapping efficiency, and induces laterally similar environments. Also provided are methods of using the device.
    Type: Grant
    Filed: August 12, 2021
    Date of Patent: November 7, 2023
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Mark Hayes, Claire Crowther, Paul Jones
  • Publication number: 20230352847
    Abstract: Large intelligent surfaces (LISs) with sparse channel sensors are provided. Embodiments described herein provide efficient solutions for these problems by leveraging tools from compressive sensing and deep learning. Consequently, an LIS architecture based on sparse channel sensors is provided where all LIS elements are passive reconfigurable elements except for a few elements that are active (e.g., connected to baseband). Two solutions are developed that design LIS reflection matrices with negligible training overhead. First, compressive sensing tools are leveraged to construct channels at all the LIS elements from the channels seen only at the active elements. These full channels can then be used to design the LIS reflection matrices with no training overhead.
    Type: Application
    Filed: June 27, 2023
    Publication date: November 2, 2023
    Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Ahmed ALKHATEEB, Abdelrahman TAHA, Muhammed ALRABEIAH
  • Patent number: 11802318
    Abstract: Provided herein are synthetic nucleic acid molecules known as loop-mediated riboregulators that have single-nucleotide polymorphism (SNP) sensitivity and ultralow OFF state signal levels. Loop-mediated riboregulators can activate or repress gene expression in response to trigger RNAs bearing completely arbitrary sequences. Also provided herein are methods of using such synthetic nucleic acid molecules for detecting the presence or absence of a particular target RNA in, for example, a biological sample.
    Type: Grant
    Filed: August 4, 2017
    Date of Patent: October 31, 2023
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Alexander Green, Duo Ma
  • Publication number: 20230340224
    Abstract: A method for producing and recycling a crosslinked photopolymer is disclosed. The method includes mixing reactive thiols, multifunctional alkenes, and a photoinitiator to create a homogeneous mixture that is crosslinked through exposure to light. The method also includes decrosslinking the crosslinked photopolymer through base-catalyzed thiol-disulfide exchange reactions by mixing the crosslinked photopolymer with a reactive thiol, a base catalyst, and a solvent to create a decrosslinked material including recycled thiol oligomers which are reactive. The method further includes removing the base catalyst and the solvent and recrosslinking the recycled thiol oligomers by mixing stoichiometric amounts of the recycled thiol oligomers and a reactive alkene such that a molar ratio between thiol end groups and ene end groups is maintained at 1:1. The method includes adding a photoinitiator and mixing to create a homogeneous mixture, and recrosslinking the homogeneous mixture through exposure to light.
    Type: Application
    Filed: April 20, 2023
    Publication date: October 26, 2023
    Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Kailong Jin, Saleh Alfarhan
  • Publication number: 20230342414
    Abstract: A machine-learning framework for multi-fidelity modeling provides three components: multi-fidelity data compiling, multi-fidelity perceptive field and convolution, and deep neural network for mapping. This framework captures and utilizes implicit relationships between any high-fidelity datum and all available low-fidelity data using a defined local perceptive field and convolution. First, the framework treats multi-fidelity data as image data and processes them using a CNN, which is very scalable to high dimensional data with more than two fidelities. Second, the flexibility of nonlinear mapping facilitates the multi-fidelity aggregation and does not need to assume specific relationships among multiple fidelities. Third, the framework does not assume that multi-fidelity data are at the same order or from the same physical mechanisms (e.g., assumptions are needed for some error estimation-based multi-fidelity model).
    Type: Application
    Filed: March 31, 2023
    Publication date: October 26, 2023
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventor: Yongming Liu
  • Publication number: 20230341713
    Abstract: A dynamic nanophotonic filter and method for tuning and fabricating the same is disclosed. The filter includes a transparent substrate, a first layer of thermochromic VO2 deposed on the substrate with a first thickness, a spacer layer having a spacer thickness and composed of a dielectric material deposed on the first layer, and a second layer of thermochromic VO2 deposed on the spacer layer such that the spacer layer is sandwiched between the second and first layer. The dynamic nanophotonic filter changes between a semi-transparent state and an opaque state based on temperature. The semi-transparent state includes the first and second layers being insulating. The opaque state includes the first layer and the second layer both being metallic. The first thickness, the second thickness, and the spacer thickness are chosen to tune how the dynamic nanophotonic filter behaves in the semi-transparent state and the opaque states.
    Type: Application
    Filed: April 20, 2023
    Publication date: October 26, 2023
    Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Jeremy Chao, Liping Wang, Sydney Taylor
  • Publication number: 20230342604
    Abstract: Dynamic additive attention adaption for memory-efficient multi-domain on-device learning is provided. Almost all conventional methods for multi-domain learning in deep neural networks (DNNs) only focus on improving accuracy with minimal parameter update, while ignoring high computing and memory cost during training. This makes it difficult to deploy multi-domain learning into resource-limited edge devices, like mobile phones, internet-of-things (IoT) devices, embedded systems, and so on. To reduce training memory usage, while keeping the domain adaption accuracy performance, Dynamic Additive Attention Adaption (DA3) is proposed as a novel memory-efficient on-device multi-domain learning approach. Embodiments of DA3 learn a novel additive attention adaptor module, while freezing the weights of the pre-trained backbone model for each domain.
    Type: Application
    Filed: April 21, 2023
    Publication date: October 26, 2023
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Li Yang, Deliang Fan, Adnan Siraj Rakin
  • Patent number: 11795387
    Abstract: A light emitting device includes a first electrode, a hole transporting layer in contact with the first electrode, a second electrode, an electron transporting layer in contact with the second electrode; and an emissive layer between the hole transporting layer and the electron transporting layer. The emissive layer includes a metal-assisted delayed fluorescent (MADF) emitter, a fluorescent emitter, and a host, and the MADF emitter harvests electrogenerated excitons and transfers energy to the fluorescent emitter.
    Type: Grant
    Filed: March 31, 2022
    Date of Patent: October 24, 2023
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventor: Jian Li
  • Patent number: 11798706
    Abstract: A method includes accelerating an electron bunch along a direction of propagation to a relativistic energy and partitioning the electron bunch by transmitting the electron bunch through a grating at the relativistic energy. The grating includes a plurality of alternating narrow portions and wide portions. The narrow portions have a first thickness in a direction substantially parallel to the direction of propagation of the electron bunch, and the wide portions have a second thickness in the direction substantially parallel to the direction of propagation of the electron bunch. The second thickness is greater than the first thickness. The method also includes generating a pulse of light using the partitioned electron bunch.
    Type: Grant
    Filed: July 16, 2021
    Date of Patent: October 24, 2023
    Assignee: Arizona Board of Regents on Behalf of Arizona State University
    Inventor: William Graves
  • Patent number: 11793431
    Abstract: A system with an analyzer device in fluid communication with a sample of a bodily fluid is configured to chemically or electrochemically convert at least a portion of ammonium (NH4+) contained within the bodily fluid into ammonia (NH3) and dispel the converted ammonia (NH3) into a gas sensing chamber. An ammonia (NH3) sensor located within the gas sensing chamber in conjunction with a processor can quantify an amount of ammonia (NH3) present in the gas sensing chamber in relation to the total ammonia of the bodily fluid.
    Type: Grant
    Filed: January 11, 2019
    Date of Patent: October 24, 2023
    Assignees: Mayo Foundation for Medical Education and Research, Arizona Board of Regents on behalf of Arizona State University
    Inventors: Marylaura Thomas, Leslie Thomas, Erica Forzani
  • Publication number: 20230330631
    Abstract: A selective metamaterial absorber and method for fabricating the same is disclosed. The method includes deposing a first metal layer on a first surface of a substrate and on a plurality of nanowires extending outward from the first surface of the substrate, the plurality of nanowires forming an array on the first surface, the substrate further including a second surface opposite the first surface. The first metal layer may be deposed using conformally sputtering. The substrate and the plurality of nanowires may be composed of silicon, and the first metal layer may be composed of tungsten. The first metal layer may be composed of a material having a penetration depth for a wavelength range of interest. The first metal layer may be at least three times thicker than the penetration depth.
    Type: Application
    Filed: September 15, 2022
    Publication date: October 19, 2023
    Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Jui-Yung Chang, Sydney Taylor, Liping Wang
  • Patent number: 11788125
    Abstract: Provided herein are imaging probes and systems and methods employing such imaging probes for real-time, label-free, multiplexed imaging of RNAs in living cells. More particularly, aptamer-based sensors (“aptasensors”) and molecular fuses comprising multiple aptasensors are genetically encoded imaging probes comprising RNA-target binding sequence and an intramolecular reconfiguration sequence. The probe is configured such that binding of a RNA target by the RNA-target binding sequence triggers the intramolecular reconfiguration sequence to reconfigure such that an optically detectable output is generated by the probe.
    Type: Grant
    Filed: May 19, 2021
    Date of Patent: October 17, 2023
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventor: Alexander Green
  • Patent number: 11787574
    Abstract: Various embodiments of a variable geometry quadrotor with a compliant frame are disclosed, which adapts to tight spaces and obstacles by way of passive rotation of its arms.
    Type: Grant
    Filed: October 13, 2021
    Date of Patent: October 17, 2023
    Assignee: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Wenlong Zhang, Seyed Mostafa Rezayat Sorkhabadi, Shatadal Mishra, Karishma Patnaik
  • Patent number: 11788965
    Abstract: The disclosure provides a system, compositions, and methods for detecting ovarian cancer cells by photoacoustic flow cytometry.
    Type: Grant
    Filed: February 21, 2020
    Date of Patent: October 17, 2023
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Barbara Smith, Joel Lusk