Patents by Inventor Joshua David Larkin

Joshua David Larkin 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: 8031926
    Abstract: Locations of the origins of “discrete events,” e.g., photons or other units of radiant energy are acquired from a specimen with reference to a scan frame or other region of interest of the specimen. The location of origin of a discrete event can be determined from the corresponding location datum as derived from a scan-drive signal, a positional feed-back signal, or by a point in time during a unit of sampling time (“image-acquisition period”) at which the event is detected. A probability-density function (PDF) is associated with the detected locations. Summing or other processing of the PDFs is performed to produce imagable data. From the data, images can be produced that require fewer discrete events to converge to an ideal density distribution associated with an image feature than required by pixel-based binning methods. Stored data can be mapped into pixels or voxels of a display or otherwise processed, including post hoc processing.
    Type: Grant
    Filed: November 21, 2007
    Date of Patent: October 4, 2011
    Assignee: Board of Regents of the Nevada System of Higher Education, on behalf of the University of Nevada, Reno
    Inventors: John L. Sutko, Nelson George Publicover, Joshua David Larkin
  • Publication number: 20090116707
    Abstract: Locations of the origins of “discrete events,” e.g., photons or other units of radiant energy are acquired from a specimen with reference to a scan frame or other region of interest of the specimen. The location of origin of a discrete event can be determined from the corresponding location datum as derived from a scan-drive signal, a positional feed-back signal, or by a point in time during a unit of sampling time (“image-acquisition period”) at which the event is detected. A probability-density function (PDF) is associated with the detected locations. Summing or other processing of the PDFs is performed to produce imageable data. From the data, images can be produced that require fewer discrete events to converge to an ideal density distribution associated with an image feature than required by pixel-based binning methods. Stored data can be mapped into pixels or voxels of a display or otherwise processed, including post hoc processing.
    Type: Application
    Filed: November 21, 2007
    Publication date: May 7, 2009
    Inventors: John L. Sutko, Nelson George Publicover, Joshua David Larkin