Patents by Inventor Jason D. Marsack

Jason D. Marsack 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: 9658470
    Abstract: Provided herein is a computer program product comprising a non-transitory computer-readable medium storing an algorithm to optimize a wavefront guided correction for a custom ophthalmic lens. The correction is determined from inputs of quantified wavefront error and registration uncertainty and a metric predictive of a visual performance task of interest and provides a level of visual performance within a user-defined performance range. Also provided is a method for optimizing a wavefront guided correction for a custom ophthalmic lens via inputting residual wavefront error values and quantified translational and rotational movements into an algorithm configured to determine the optimal wavefront guided correction therefrom and a custom ophthalmic lens comprising the correction.
    Type: Grant
    Filed: February 27, 2014
    Date of Patent: May 23, 2017
    Assignee: University of Houston System
    Inventors: Raymond A. Applegate, Jason D. Marsack, Konrad Pesudovs, Yue Shi
  • Patent number: 9022570
    Abstract: Provided herein are methods of manufacturing an optical lens using image simulation and/or predictive metrics to determine optical aberrations and an iterative algorithm to correct the aberrations to create a custom-designed surface for the optical lens and to implement the manufacture of the custom-designed surface onto the lens. Also, a computer program product storing the method is provided. In addition, there are provided a customized optical lens designed by the method and a method of correcting optical aberration to improve visual using the customized optical lens. Further provided is a method of manufacturing a custom lens effective to mimic a subset of optical aberrations.
    Type: Grant
    Filed: November 9, 2006
    Date of Patent: May 5, 2015
    Assignee: The University of Houston System
    Inventors: Raymond A. Applegate, Jason D. Marsack, Konrad Pesudovs
  • Publication number: 20140176900
    Abstract: Provided herein is a computer program product comprising a non-transitory computer-readable medium storing an algorithm to optimize a wavefront guided correction for a custom ophthalmic lens. The correction is determined from inputs of quantified wavefront error and registration uncertainty and a metric predictive of a visual performance task of interest and provides a level of visual performance within a user-defined performance range. Also provided is a method for optimizing a wavefront guided correction for a custom ophthalmic lens via inputting residual wavefront error values and quantified translational and rotational movements into an algorithm configured to determine the optimal wavefront guided correction therefrom and a custom ophthalmic lens comprising the correction.
    Type: Application
    Filed: February 27, 2014
    Publication date: June 26, 2014
    Inventors: Raymond A. Applegate, Jason D. Marsack, Konrad Pesudovs, Yue Shi
  • Publication number: 20110157545
    Abstract: Provided herein are methods of manufacturing an optical lens using image simulation and/or predictive metrics to determine optical aberrations and an iterative algorithm to correct the aberrations to create a custom-designed surface for the optical lens and to implement the manufacture of the custom-designed surface onto the lens. Also, a computer program product storing the method is provided. In addition, there are provided a customized optical lens designed by the method and a method of correcting optical aberration to improve visual using the customized optical lens. Further provided is a method of manufacturing a custom lens effective to mimic a subset of optical aberrations.
    Type: Application
    Filed: November 9, 2006
    Publication date: June 30, 2011
    Inventors: Raymond A. Applegate, Jason D. Marsack, Konrad Pesudovs