Patents Assigned to Perceptive Technologies, Inc.
  • Publication number: 20240298899
    Abstract: An optical coherence tomography scanning system traverses its respective scan pattern quickly, typically completing an entire two-dimensional frame faster than a conventional raster scanner completes one raster line segment. To traverse the scan pattern quickly, the system takes fewer A-scans per length of scan pattern than a conventional OCT scanner. To compensate for the sparsity of the sample points along the respective scan line segments, and for gaps between respective line segments of the trajectory, the system acquires and combines several partially overlapping frames for each study.
    Type: Application
    Filed: May 15, 2024
    Publication date: September 12, 2024
    Applicant: Perceptive Technologies, Inc.
    Inventors: Christopher John Ciriello, Wei Kang, Phillip Getto, Angela Zhang, Justin LaRue, Victor Grinberg
  • Patent number: 12029619
    Abstract: Provided herein are computer-implemented methods, computer-implemented systems, and a non-transitory computer-readable storage media for directing an automated dental drill (ADD) for preparation of a target tooth of a patient under the control of a practitioner.
    Type: Grant
    Filed: March 2, 2023
    Date of Patent: July 9, 2024
    Assignee: Perceptive Technologies, Inc.
    Inventors: Christopher John Ciriello, Scott Howard Phillips
  • Patent number: 12016653
    Abstract: An optical coherence tomography scanning system traverses its respective scan pattern quickly, typically completing an entire two-dimensional frame faster than a conventional raster scanner completes one raster line segment. To traverse the scan pattern quickly, the system takes fewer A-scans per length of scan pattern than a conventional OCT scanner. To compensate for the sparsity of the sample points along the respective scan line segments, and for gaps between respective line segments of the trajectory, the system acquires and combines several partially overlapping frames for each study.
    Type: Grant
    Filed: September 8, 2023
    Date of Patent: June 25, 2024
    Assignee: Perceptive Technologies, Inc.
    Inventors: Christopher John Ciriello, Wei Kang, Phillip Getto, Angela Zhang, Justin LaRue, Victor Grinberg