Patents by Inventor Joel Steven Schuman

Joel Steven Schuman 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: 11730360
    Abstract: The innovation provides for a system and method available to image and visualize the palisades of Vogt via a non-contact process, analyze the image volumes acquired, evaluate the status of the palisades of Vogt from the data represented therein, and display the data in real-time or as a part of a medical record for ongoing.
    Type: Grant
    Filed: August 27, 2020
    Date of Patent: August 22, 2023
    Assignee: University of Pittsburgh-Of the Commonwealth System of Higher Education
    Inventors: Kira Lynn Lathrop, Joel Steven Schuman, Lawrence Edward Kagemann
  • Publication number: 20220145248
    Abstract: A method of preparing a functional trabecular meshwork (TM) cell from adipose-derived stem cells is provided. Methods of treating glaucoma, implanting trabecular meshwork (TM) cells, or repairing or regenerating the aqueous outflow pathway of an eye of a patient also are provided.
    Type: Application
    Filed: January 19, 2022
    Publication date: May 12, 2022
    Inventors: Yiqin Du, Joel Steven Schuman
  • Patent number: 11246838
    Abstract: A method for sustained delivery of an agent to an ocular organ in a subject, comprising topically delivering to the ocular surface a liquid thermoresponsive hydrogel comprising agent-loaded polymer microparticles, wherein the agent is sustainably released for a period of at least five days.
    Type: Grant
    Filed: March 4, 2014
    Date of Patent: February 15, 2022
    Assignee: University of Pittsburgh—Of the Commonwealth System of Higher Education
    Inventors: Morgan Virginia Fedorchak, Steven R. Little, Joel Steven Schuman, Anthony Cugini
  • Patent number: 11170480
    Abstract: The present invention is directed to systems and methods for generating virtually averaged optical coherence tomography (Oct.) images. An illustrative method can include receiving an image, identifying a first voxel of the image, and selecting a plurality of local voxels of the image. Each of the plurality of local voxels is within a defined region of the first voxel. The values of the plurality of local voxels can indicate an appearance of the local voxels in the image.
    Type: Grant
    Filed: April 28, 2016
    Date of Patent: November 9, 2021
    Assignee: University of Pittsburgh—Of the Commonwealth System of Higher Education
    Inventors: Hiroshi Ishikawa, Chieh-Li Chen, Joel Steven Schuman, Chaim-Gadi Wollstein
  • Publication number: 20200390326
    Abstract: The innovation provides for a system and method available to image and visualize the palisades of Vogt via a non-contact process, analyze the image volumes acquired, evaluate the status of the palisades of Vogt from the data represented therein, and display the data in real-time or as a part of a medical record for ongoing
    Type: Application
    Filed: August 27, 2020
    Publication date: December 17, 2020
    Applicant: Unversity of Pittsburgh-Of the Commonwealth System of Higher Education
    Inventors: Kira Lynn Lathrop, Joel Steven Schuman, Lawrence Edward Kagemann
  • Patent number: 10813549
    Abstract: The innovation provides for a system and method available to image and visualize the palisades of Vogt via a non-contact process, analyze the image volumes acquired, evaluate the status of the palisades of Vogt from the data represented therein, and display the data in real-time or as a part of a medical record for ongoing consideration and evaluation.
    Type: Grant
    Filed: January 3, 2018
    Date of Patent: October 27, 2020
    Assignee: University of Pittsburgh Of the Commonwealth System of Higher Education
    Inventors: Kira Lynn Lathrop, Joel Steven Schuman, Lawrence Edward Kagemann
  • Patent number: 10575723
    Abstract: The present disclosure describes systems and method for generating surgical maps that provide a surgeon with information regarding the placement of features of interest. More particularly, the system is configured to display optical coherence tomography (OCT) images to a medical professional. The medical professional can select anatomical features, biomarkers, and other features of interest within each of the OCT images. The system can then translate the location of the features of interest within the OCT images to an en face image to generate a map of the features that the medical professional can use for surgical guidance.
    Type: Grant
    Filed: February 24, 2016
    Date of Patent: March 3, 2020
    Assignees: University of Pittsburgh—Of the Commonwealth System of Higher Education, The Regents of the University of Michigan
    Inventors: Lawrence E. Kagemann, Jr., Joel Steven Schuman, Sayoko Eileen Moroi
  • Patent number: 10136808
    Abstract: The innovation provides for a system and method available to image and visualize the palisades of Vogt via a non-contact process, analyze the image volumes acquired, evaluate the status of the palisades of Vogt from the data represented therein, and display the data in real-time or as a part of a medical record for ongoing consideration and evaluation.
    Type: Grant
    Filed: August 14, 2017
    Date of Patent: November 27, 2018
    Assignee: University of Pittsburgh—Of the Commonwealth System of Higher Education
    Inventors: Kira Lynn Lathrop, Joel Steven Schuman, Lawrence Edward Kagemann
  • Publication number: 20180235457
    Abstract: The present disclosure describes systems and method for generating surgical maps that provide a surgeon with information regarding the placement of features of interest. More particularly, the system is configured to display optical coherence tomography (OCT) images to a medical professional. The medical professional can select anatomical features, biomarkers, and other features of interest within each of the OCT images. The system can then translate the location of the features of interest within the OCT images to an en face image to generate a map of the features that the medical professional can use for surgical guidance.
    Type: Application
    Filed: February 24, 2016
    Publication date: August 23, 2018
    Applicants: University of Pittsburgh - Of the Commonwealth System of Higher Education, The Regents of the University of Michigan
    Inventors: Lawrence E. KAGEMANN, JR., Joel Steven SCHUMAN, Sayoko Eileen MOROI
  • Patent number: 10004766
    Abstract: Provided herein are isolated populations of multipotent stem cells capable of differentiating into trabecular meshwork (TM) cells, methods of obtaining an isolated population of TM cells, and isolated populations of TM cells obtained therefrom. Compositions, kits, and devices comprising the isolated populations of multipotent stem cells or TM cells are also provided herein. Further provided are methods of using the compositions, kits, and devices for decreasing intraocular pressure in an eye, increasing cell density in a trabecular meshwork of an eye, increasing outflow of aqueous humor from an eye, or treating or preventing a medical condition in a subject.
    Type: Grant
    Filed: January 26, 2015
    Date of Patent: June 26, 2018
    Assignee: University of Pittsburgh—of the Commonwealth System of Higher Education
    Inventors: Yiqin Du, James L. Funderburgh, Joel Steven Schuman
  • Publication number: 20180158182
    Abstract: The present invention is directed to systems and methods for generating virtually averaged optical coherence tomography (OCT) images. An illustrative method can include receiving an image, identifying a first voxel of the image, and selecting a plurality of local voxels of the image. Each of the plurality of local voxels is within a defined region of the first voxel. The values of the plurality of local voxels can indicate an appearance of the local voxels in the image.
    Type: Application
    Filed: April 28, 2016
    Publication date: June 7, 2018
    Applicant: University of Pittsburgh - Of The Commonwealth System of Higher Education
    Inventors: Hiroshi ISHIKAWA, Chieh-Li Chen, Joel Steven Schuman, Chaim-Gadi Wollstein
  • Publication number: 20180140184
    Abstract: The innovation provides for a system and method available to image and visualize the palisades of Vogt via a non-contact process, analyze the image volumes acquired, evaluate the status of the palisades of Vogt from the data represented therein, and display the data in real-time or as a part of a medical record for ongoing consideration and evaluation.
    Type: Application
    Filed: January 3, 2018
    Publication date: May 24, 2018
    Applicant: UNIVERSITY OF PITTSBURGH-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
    Inventors: Kira Lynn Lathrop, Joel Steven Schuman, Lawrence Edward Kagemann
  • Publication number: 20170367573
    Abstract: The innovation provides for a system and method available to image and visualize the palisades of Vogt via a non-contact process, analyze the image volumes acquired, evaluate the status of the palisades of Vogt from the data represented therein, and display the data in real-time or as a part of a medical record for ongoing consideration and evaluation.
    Type: Application
    Filed: August 14, 2017
    Publication date: December 28, 2017
    Applicant: University of Pittsburgh - Of the Commonwealth System of Higher Education
    Inventors: KIRA LYNN LATHROP, JOEL STEVEN SCHUMAN, LAWRENCE EDWARD KAGEMANN
  • Patent number: 9844315
    Abstract: The present disclosure is directed to systems and methods for normalizing an image of an eye among multiple optical coherence tomography (OCT) devices. The system can receive an OCT image and generate a normalized OCT image. The system is configured to normalize a sample density of the received image, normalize an amount of noise using a suitable noise reduction technique, normalize a distribution of signal amplitudes of the image, and then normalize a signal quality of the image. The resulting normalized image of the eye can then be used in the comparison among OCT images taken from multiple OCT devices.
    Type: Grant
    Filed: October 7, 2015
    Date of Patent: December 19, 2017
    Assignee: University of Pittsburgh—Of the Commonwealth System of Higher Education
    Inventors: Chieh-Li Chen, Hiroshi Ishikawa, Joel Steven Schuman, Chaim-Gadi Wollstein
  • Publication number: 20170253854
    Abstract: A method of preparing a functional trabecular meshwork (TM) cell from adipose-derived stem cells is provided. Methods of treating glaucoma, implanting trabecular meshwork (TM) cells, or repairing or regenerating the aqueous outflow pathway of an eye of a patient also are provided.
    Type: Application
    Filed: March 2, 2017
    Publication date: September 7, 2017
    Inventors: Yiqin Du, Joel Steven Schuman
  • Publication number: 20160100755
    Abstract: The present disclosure is directed to systems and methods for normalizing an image of an eye among multiple optical coherence tomography (OCT) devices. The system can receive an OCT image and generate a normalized OCT image. The system is configured to normalize a sample density of the received image, normalize an amount of noise using a suitable noise reduction technique, normalize a distribution of signal amplitudes of the image, and then normalize a signal quality of the image. The resulting normalized image of the eye can then be used in the comparison among OCT images taken from multiple OCT devices.
    Type: Application
    Filed: October 7, 2015
    Publication date: April 14, 2016
    Applicant: University of Pittsburgh - Of the Commonwealth System of Higher Education
    Inventors: Chieh-Li Chen, Hiroshi Ishikawa, Joel Steven Schuman, Chaim-Gadi Wollstein
  • Publication number: 20150231180
    Abstract: Provided herein are isolated populations of multipotent stem cells capable of differentiating into trabecular meshwork (TM) cells, methods of obtaining an isolated population of TM cells, and isolated populations of TM cells obtained therefrom. Compositions, kits, and devices comprising the isolated populations of multipotent stem cells or TM cells are also provided herein. Further provided are methods of using the compositions, kits, and devices for decreasing intraocular pressure in an eye, increasing cell density in a trabecular meshwork of an eye, increasing outflow of aqueous humor from an eye, or treating or preventing a medical condition in a subject.
    Type: Application
    Filed: January 26, 2015
    Publication date: August 20, 2015
    Applicant: University of Pittsburgh - of the Commonwealth System of Higher Education
    Inventors: Yiqin Du, James L. Funderburgh, Joel Steven Schuman
  • Publication number: 20120237485
    Abstract: Provided herein are isolated populations of multipotent stem cells capable of differentiating into trabecular meshwork (TM) cells, methods of obtaining an isolated population of TM cells, and isolated populations of TM cells obtained therefrom. Compositions, kits, and devices comprising the isolated populations of multipotent stem cells or TM cells are also provided herein. Further provided are methods of using the compositions, kits, and devices for decreasing intraocular pressure in an eye, increasing cell density in a trabecular meshwork of an eye, increasing outflow of aqueous humor from an eye, or treating or preventing a medical condition in a subject.
    Type: Application
    Filed: January 30, 2012
    Publication date: September 20, 2012
    Inventors: Yiqin Du, James L. Funderburgh, Joel Steven Schuman
  • Patent number: 7992999
    Abstract: A fully automated optic nerve head assessment system, based on spectral domain optical coherence tomography, provides essential disc parameters for clinical analysis, early detection, and monitoring of progression.
    Type: Grant
    Filed: April 21, 2009
    Date of Patent: August 9, 2011
    Assignee: University of Pittsburgh - Of the Commonwealth System of Higher Education
    Inventors: Juan Xu, Chaim-Gadi Wollstein, Hiroshi Ishikawa, Joel Steven Schuman
  • Publication number: 20090268159
    Abstract: A fully automated optic nerve head assessment system, based on spectral domain optical coherence tomography, provides essential disc parameters for clinical analysis, early detection, and monitoring of progression.
    Type: Application
    Filed: April 21, 2009
    Publication date: October 29, 2009
    Inventors: Juan Xu, Chaim-Gadi Wollstein, Hiroshi Ishikawa, Joel Steven Schuman