Patents by Inventor Zachariah Olson Martin

Zachariah Olson Martin has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12159369
    Abstract: A method of providing super-resolved images of a photon emitting particle is disclosed, which includes providing a machine-learning (ML) platform, wherein the ML platform is configured to receive pixel-based sparse autocorrelation data and generate a predicted super-resolved image of a photon emitting particle, receiving photons from the photon emitting particle by two or more photon detectors, each generating an electrical pulse associated with receiving an incident photon thereon, generating sparse autocorrelation data from the two or more photon detectors for each pixel within an image area, and inputting the pixel-based sparse autocorrelation data to the ML platform, thereby generating a predicted super-resolved image of the imaging area, wherein the resolution of the super-resolved image is improved by ?n as compared to a classical optical microscope limited by Abbe diffraction limit.
    Type: Grant
    Filed: July 6, 2022
    Date of Patent: December 3, 2024
    Assignee: Purdue Research Foundation
    Inventors: Zhaxylyk A. Kudyshev, Demid Sychev, Zachariah Olson Martin, Simeon I. Bogdanov, Xiaohui Xu, Alexander Kildishev, Alexandra Boltasseva, Vladimir Shalaev
  • Publication number: 20230177642
    Abstract: A method of providing super-resolved images of a photon emitting particle is disclosed, which includes providing a machine-learning (ML) platform, wherein the ML platform is configured to receive pixel-based sparse autocorrelation data and generate a predicted super-resolved image of a photon emitting particle, receiving photons from the photon emitting particle by two or more photon detectors, each generating an electrical pulse associated with receiving an incident photon thereon, generating sparse autocorrelation data from the two or more photon detectors for each pixel within an image area, and inputting the pixel-based sparse autocorrelation data to the ML platform, thereby generating a predicted super-resolved image of the imaging area, wherein the resolution of the super-resolved image is improved by ?n as compared to a classical optical microscope limited by Abbe diffraction limit.
    Type: Application
    Filed: July 6, 2022
    Publication date: June 8, 2023
    Applicant: Purdue Research Foundation
    Inventors: Zhaxylyk A. Kudyshev, Demid Sychev, Zachariah Olson Martin, Simeon I. Bogdanov, Xiaohui Xu, Alexander Kildishev, Alexandra Boltasseva, Vladimir Shalaev
  • Publication number: 20220406962
    Abstract: Methods of fabricating single photon emitters (SPEs) including nanoindentation of hexagonal boron nitride (hBN) host materials and annealing thereof, devices formed from such methods, and chips with a single photon emitter. A substrate with a layer of hBN is provided. Nanoindentation is performed on the layer of hBN to produce an array of sub-micron indentations in the layer of hBN. The layer of hBN is annealed to activate SPEs near the indentations. Devices include a substrate with an SPE produced in accordance with the methods. Chips include a substrate, an hBN layer, and an SPE including an indentation on the hBN layer, in which the substrate is not damaged at the indentation.
    Type: Application
    Filed: June 21, 2022
    Publication date: December 22, 2022
    Inventors: Xiaohui Xu, Zachariah Olson Martin, Demid Sychev, Alexei S. Lagutchev, Yong Chen, Vladimir Michael Shalaev, Alexandra Boltasseva