Patents by Inventor Kam Lin Wong

Kam Lin Wong 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).

  • Publication number: 20090245612
    Abstract: One automated imaging process, as described herein, includes: a) obtaining digital images of objects in a biological sample; b) selecting a plurality of objects of interest from the digital images; c) obtaining multiple images of the selected objects of interest at a plurality of different wavelengths; d) combining one of said multiple images with a corresponding digital image to produce a combined image; and e) analyzing the combined image in order to characterize the biological sample.
    Type: Application
    Filed: June 8, 2009
    Publication date: October 1, 2009
    Applicant: CYTYC CORPORATION
    Inventors: David Zahniser, Kam Lin Wong, Jim Linder, Douglas Tenney
  • Patent number: 7587078
    Abstract: One automated imaging process, as described herein, includes: a) obtaining digital images of objects in a biological sample; b) selecting a plurality of objects of interest from the digital images; c) obtaining multiple images of the selected objects of interest at a plurality of different wavelengths; d) combining one of said multiple images with a corresponding digital image to produce a combined image; and e) analyzing the combined image in order to characterize the biological sample.
    Type: Grant
    Filed: May 2, 2005
    Date of Patent: September 8, 2009
    Assignee: Cytyc Corporation
    Inventors: David Zahniser, Kam Lin Wong, Jim Linder, Douglas Tenney
  • Publication number: 20090087074
    Abstract: Methods, systems and computer readable media for processing one or more biological specimens carried by specimen slides. Images of objects in a specimen are acquired and objects of interest in the acquired images are identified. Additional images of identified objects of interest may be acquired at multiple wavelengths. Cellular features of objects of interest are extracted from images and may be used for classifying the specimen, e.g., as normal or suspicious/abnormal, based a probabilistic model that utilizes the extracted features.
    Type: Application
    Filed: September 28, 2007
    Publication date: April 2, 2009
    Applicant: CYTYC CORPORATION
    Inventors: Kam Lin Wong, David Zahniser, Kathy Mui, James Linder, Howard Kaufman
  • Publication number: 20080144915
    Abstract: Components, e.g., background, cytoplasm, nucleus and nucleolus, of a biological specimen are identified using multi-wavelength analysis. Specimen components, such as nucleoli, are selected, and a determination is made whether cells having nucleoli are cancer cells or regular repair cells based on one or more physical characteristics of the identified component. The physical characteristics can be one or more of a shape, size, texture and gray value.
    Type: Application
    Filed: December 14, 2007
    Publication date: June 19, 2008
    Applicant: CYTYC CORPORATION
    Inventors: Kam Lin Wong, David Zahniser, Kathy Mui, Jim Linder, Ellen Sheets
  • Publication number: 20040252876
    Abstract: Methods, systems, and computer software for classifying biological specimens. A number of objects of interest are identified in a biological specimen. A first feature of each object of interest (e.g., nuclear area) and a second feature of each object of interest (e.g., nuclear integrated optical density) are measured, and a scatter plot of the first and second features is generated. The specimen is classified as being either normal or suspicious based on the distribution of points within the scatter plot.
    Type: Application
    Filed: March 5, 2004
    Publication date: December 16, 2004
    Applicant: Cytyc Corporation
    Inventors: Kam Lin Wong, Louise Isenstein, David Zahniser
  • Publication number: 20040253616
    Abstract: Methods, systems, and computer software for determining the stain quality of a plurality of biological specimens. A number of objects of interest are identified in a biological specimen. A first feature of each object of interest (e.g., nuclear area) and a second feature of each object of interest (e.g., nuclear integrated optical density) are measured, and a scatter plot of the first and second features is generated. The stain quality of the specimens are determined based on the distribution of points within the scatter plot.
    Type: Application
    Filed: March 5, 2004
    Publication date: December 16, 2004
    Applicant: Cytyc Corporation
    Inventors: Kam Lin Wong, Louise Isenstein, David Zahniser