Patents by Inventor Sebastian Chakrit Punyaratabandhu Bhakdi

Sebastian Chakrit Punyaratabandhu Bhakdi 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: 20220113231
    Abstract: Disclosed herein are compositions and methods of fixing and staining rare cells. Further, disclosed herein are methods of identifying circulating tumor cells (CTC). In some embodiments, the method includes: imaging a cell sample to identify a cell of interest; determining a first pixel intensity of a stained nuclear area; determining a second pixel intensity of a background area; calculating a ploidy status of the cell of interest by subtracting the second pixel intensity from the first pixel intensity; and determining whether the cell of interest is a CTC based on the ploidy status. The method may be computer implemented, such that the method uses a machine learning algorithm to identify a feature; process the feature to extract a parameter of interest; analyze the parameter of interest; and when the parameter of interest is greater than or less than a pre-determined threshold, classify the cell of interest as a CTC.
    Type: Application
    Filed: December 20, 2021
    Publication date: April 14, 2022
    Inventor: Sebastian Chakrit Punyaratabandhu Bhakdi
  • Patent number: 11226271
    Abstract: Disclosed herein are compositions and methods of fixing and staining rare cells. Further, disclosed herein are methods of identifying circulating tumor cells (CTC). In some embodiments, the method includes: imaging a cell sample to identify a cell of interest; determining a first pixel intensity of a stained nuclear area; determining a second pixel intensity of a background area; calculating a ploidy status of the cell of interest by subtracting the second pixel intensity from the first pixel intensity; and determining whether the cell of interest is a CTC based on the ploidy status. The method may be computer implemented, such that the method uses a machine learning algorithm to identify a feature; process the feature to extract a parameter of interest; analyze the parameter of interest; and when the parameter of interest is greater than or less than a predetermined threshold, classify the cell of interest as a CTC.
    Type: Grant
    Filed: March 6, 2017
    Date of Patent: January 18, 2022
    Assignee: X-Zell Biotech Pte Ltd
    Inventor: Sebastian Chakrit Punyaratabandhu Bhakdi
  • Publication number: 20210108996
    Abstract: A system for automatically staining slides includes a slide management subsystem, a reagent management subsystem, and a fluid dispenser configured to uptake the reagent from the receptacle and dispense the reagent to the slide. The slide management subsystem may include a slide holder configured to receive a slide and a first cooling unit configured to maintain the slide at a temperature between ?1° C. and ?3° C. In some embodiments, the slide holder comprises a material configured to maintain the temperature between ?1° C. and ?3° C. The reagent management subsystem may include a rotatable support configured to receive a receptacle holding a reagent, and a second cooling unit configured to maintain the reagent at a temperature between ?1° C. and 6° C.
    Type: Application
    Filed: April 20, 2017
    Publication date: April 15, 2021
    Inventors: Sebastian Chakrit Punyaratabandhu Bhakdi, Jay Vichayavichien
  • Publication number: 20190094115
    Abstract: Disclosed herein are compositions and methods of fixing and staining rare cells. Further, disclosed herein are methods of identifying circulating tumor cells (CTC). In some embodiments, the method includes: imaging a cell sample to identify a cell of interest; determining a first pixel intensity of a stained nuclear area; determining a second pixel intensity of a background area; calculating a ploidy status of the cell of interest by subtracting the second pixel intensity from the first pixel intensity; and determining whether the cell of interest is a CTC based on the ploidy status. The method may be computer implemented, such that the method uses a machine learning algorithm to identify a feature; process the feature to extract a parameter of interest; analyze the parameter of interest; and when the parameter of interest is greater than or less than a predetermined threshold, classify the cell of interest as a CTC.
    Type: Application
    Filed: March 6, 2017
    Publication date: March 28, 2019
    Inventor: Sebastian Chakrit Punyaratabandhu Bhakdi