Patents by Inventor Michelle Dunn

Michelle Dunn 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: 11798662
    Abstract: The present invention relates generally to the field of computer-based image recognition. More particularly, the invention relates to methods and systems for the identification, and optionally the quantitation of, discrete objects of biological origin such as cells, cytoplasmic structures, parasites, parasite ova, and the like which are typically the subject of microscopic analysis. The invention may be embodied in the form of a method for training a computer to identify a target biological material in a sample. The method may include accessing a plurality of training images, the training images being obtained by light microscopy of one or more samples containing a target biological material and optionally a non-target biological material. The training images are cropped by a human or a computer to produce cropped images, each of which shows predominantly the target biological material.
    Type: Grant
    Filed: March 5, 2019
    Date of Patent: October 24, 2023
    Assignee: VERDICT HOLDINGS PTY LTD
    Inventors: Alistair Cumming, Luan Duong Minh Lam, Christopher McCarthy, Michelle Dunn, Luke Gavin, Samar Kattan, Antony Tang
  • Publication number: 20210248419
    Abstract: The present invention relates generally to the field of computer-based image recognition. More particularly, the invention relates to methods and systems for the identification, and optionally the quantitation of, discrete objects of biological origin such as cells, cytoplasmic structures, parasites, parasite ova, and the like which are typically the subject of microscopic analysis. The invention may be embodied in the form of a method for training a computer to identify a target biological material in a sample. The method may include accessing a plurality of training images, the training images being obtained by light microscopy of one or more samples containing a target biological material and optionally a non-target biological material. The training images are cropped by a human or a computer to produce cropped images, each of which shows predominantly the target biological material.
    Type: Application
    Filed: March 5, 2019
    Publication date: August 12, 2021
    Inventors: Alistair Cumming, Luam Lam, Christopher McCarthy, Michelle Dunn, Luke Gavin, Samar Kattan, Antony Tang
  • Publication number: 20070010985
    Abstract: The invention is directed to a simulation and modelling approach, which comprises two parts. The first part comprises a generic mathematical model used to simulate or model a system and elements of the system interacting with a predetermined environment. The second part comprises at least one user defined data file that contains not only predetermined parameters (scalars values and/or tables with fixed independent variables) for use by the first part, but which also contains executable mathematical equations and respective data relating to an element of the system. These user-defined algorithmic expressions add to and complement the generic mathematical model so as to produce, when operating together numerical output that simulates or models the behaviour of the one or more elements of the system in a predetermined environment. Typically computer programs interact with the invention to provide a visualisation tools for the numerical output provided.
    Type: Application
    Filed: February 9, 2006
    Publication date: January 11, 2007
    Inventors: Robert Anderson, Alister Smith, Efthimies Gouthas, Michelle Dunn