Patents by Inventor Stephen P. A. Fodor

Stephen P. A. Fodor 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: 20200224266
    Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
    Type: Application
    Filed: August 26, 2019
    Publication date: July 16, 2020
    Inventors: Stephen P.A. Fodor, Glenn K. Fu
  • Patent number: 10619203
    Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
    Type: Grant
    Filed: July 22, 2016
    Date of Patent: April 14, 2020
    Assignee: BECTON, DICKINSON AND COMPANY
    Inventors: Stephen P. A. Fodor, Glenn K. Fu
  • Patent number: 10392661
    Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
    Type: Grant
    Filed: December 13, 2018
    Date of Patent: August 27, 2019
    Assignee: BECTON, DICKINSON AND COMPANY
    Inventors: Stephen P. A. Fodor, Glenn K. Fu
  • Patent number: 10253375
    Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
    Type: Grant
    Filed: October 16, 2018
    Date of Patent: April 9, 2019
    Assignee: Becton, Dickinson and Company
    Inventors: Christina Fan, Stephen P. A. Fodor, Glenn Fu, Geoffrey Richard Facer, Julie Wilhelmy
  • Publication number: 20190100798
    Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
    Type: Application
    Filed: December 13, 2018
    Publication date: April 4, 2019
    Inventors: Stephen P.A. Fodor, Glenn K. Fu
  • Publication number: 20190085412
    Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
    Type: Application
    Filed: October 16, 2018
    Publication date: March 21, 2019
    Inventors: Christina Fan, Stephen P.A. Fodor, Glenn Fu, Geoffrey Richard Facer, Julie Wilhelmy
  • Patent number: 10208356
    Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
    Type: Grant
    Filed: October 16, 2018
    Date of Patent: February 19, 2019
    Assignee: Becton, Dickinson and Company
    Inventors: Christina Fan, Stephen P. A. Fodor, Glenn Fu, Geoffrey Richard Facer, Julie Wilhelmy
  • Patent number: 10202646
    Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
    Type: Grant
    Filed: July 18, 2018
    Date of Patent: February 12, 2019
    Assignee: Becton, Dickinson and Company
    Inventors: Stephen P. A. Fodor, Glenn K. Fu
  • Publication number: 20190040474
    Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
    Type: Application
    Filed: October 16, 2018
    Publication date: February 7, 2019
    Inventors: Christina Fan, Stephen P.A. Fodor, Glenn Fu, Geoffrey Richard Facer, Julie Wilhelmy
  • Patent number: 10151003
    Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
    Type: Grant
    Filed: July 18, 2018
    Date of Patent: December 11, 2018
    Assignee: Cellular Research, Inc.
    Inventors: Christina Fan, Stephen P. A. Fodor, Glenn Fu, Geoffrey Richard Facer, Julie Wilhelmy
  • Patent number: 10131958
    Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
    Type: Grant
    Filed: July 18, 2018
    Date of Patent: November 20, 2018
    Assignee: Cellular Research, Inc.
    Inventors: Christina Fan, Stephen P. A. Fodor, Glenn Fu, Geoffrey Richard Facer, Julie Wilhelmy
  • Publication number: 20180327835
    Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
    Type: Application
    Filed: July 18, 2018
    Publication date: November 15, 2018
    Inventors: Stephen P.A. Fodor, Glenn K. Fu
  • Publication number: 20180327866
    Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
    Type: Application
    Filed: July 18, 2018
    Publication date: November 15, 2018
    Inventors: Christina Fan, Stephen P.A. Fodor, Glenn Fu, Geoffrey Richard Facer, Julie Wilhelmy
  • Publication number: 20180327836
    Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
    Type: Application
    Filed: July 18, 2018
    Publication date: November 15, 2018
    Inventors: Stephen P.A. Fodor, Glenn K. Fu
  • Publication number: 20180327867
    Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
    Type: Application
    Filed: July 18, 2018
    Publication date: November 15, 2018
    Inventors: Christina Fan, Stephen P.A. Fodor, Glenn Fu, Geoffrey Richard Facer, Julie Wilhelmy
  • Publication number: 20180291470
    Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
    Type: Application
    Filed: June 19, 2018
    Publication date: October 11, 2018
    Inventors: Christina Fan, Stephen P.A. Fodor, Glenn Fu, Geoffrey Richard Facer, Julie Wilhelmy
  • Publication number: 20180258500
    Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).
    Type: Application
    Filed: May 23, 2018
    Publication date: September 13, 2018
    Inventors: Christina Fan, Stephen P.A. Fodor, Glenn Fu, Geoffrey Richard Facer, Julie Wilhelmy
  • Patent number: 10059991
    Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
    Type: Grant
    Filed: July 22, 2016
    Date of Patent: August 28, 2018
    Assignee: CELLULAR RESEARCH, INC.
    Inventors: Stephen P. A. Fodor, Glenn K. Fu
  • Patent number: 10047394
    Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.
    Type: Grant
    Filed: July 29, 2016
    Date of Patent: August 14, 2018
    Assignee: Cellular Research, Inc.
    Inventors: Stephen P. A. Fodor, Glenn K. Fu
  • Patent number: 10002316
    Abstract: The disclosure provides for methods, compositions, systems, devices, and kits for determining the number of distinct targets in distinct spatial locations within a sample. In some examples, the methods include: stochastically barcoding the plurality of targets in the sample using a plurality of stochastic barcodes, wherein each of the plurality of stochastic barcodes comprises a spatial label and a molecular label; estimating the number of each of the plurality of targets using the molecular label; and identifying the spatial location of each of the plurality of targets using the spatial label. The method can be multiplexed.
    Type: Grant
    Filed: August 2, 2017
    Date of Patent: June 19, 2018
    Assignee: Cellular Research, Inc.
    Inventors: Stephen P. A. Fodor, Christina Fan, Glenn Fu, Geoffrey Facer