Patents by Inventor Patrick McLendon

Patrick McLendon 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).

  • Unbiased feature selection in high content analysis of biological image samples
    Patent number: 10867208
    Abstract: A high content analysis computing system, computer program product and method provides receiving two or more sets of microscopic images of respective sites of selected biological cell assay. Each set of microscopic images comprises one or more images having an aggregate field of view sufficient to encompass all of the cells within the respective site and a resolution sufficient to image cellular bodies within each of encompassed cells. For each set of microscopic images, a library of algorithms is executed that evaluate image features for each cell in each site producing a quantified feature measurement for each cell. Quantified feature measurements are compared for each one of the two or more sets of microscopic images. A subset of the library of algorithms is identified that discriminate at least two of the two sets or more microscopic images and deployed as a computer program product for evaluating additional biological cell assays.
    Type: Grant
    Filed: August 14, 2018
    Date of Patent: December 15, 2020
    Assignee: United States of America as represented by the Secretary of the Air Force
    Inventors: Thomas Lamkin, Patrick McLendon, Daniel Cowan, Robert Trevino
  • Unbiased Feature Selection in High Content Analysis of Biological Image Samples
    Publication number: 20190332891
    Abstract: A high content analysis computing system, computer program product and method provides receiving two or more sets of microscopic images of respective sites of selected biological cell assay. Each set of microscopic images comprises one or more images having an aggregate field of view sufficient to encompass all of the cells within the respective site and a resolution sufficient to image cellular bodies within each of encompassed cells. For each set of microscopic images, a library of algorithms is executed that evaluate image features for each cell in each site producing a quantified feature measurement for each cell. Quantified feature measurements are compared for each one of the two or more sets of microscopic images. A subset of the library of algorithms is identified that discriminate at least two of the two sets or more microscopic images and deployed as a computer program product for evaluating additional biological cell assays.
    Type: Application
    Filed: August 14, 2018
    Publication date: October 31, 2019
    Applicant: Government of the United States as Represented by the Secretary of the Air Force
    Inventors: Thomas Lamkin, Patrick McLendon, Daniel Cowan