Patents by Inventor Elisabeth Marie Walczak

Elisabeth Marie Walczak 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: 12071617
    Abstract: Disclosed herein include systems, methods, compositions, and kits for the labeling of nucleic acids targets. In some embodiments, the methods comprise the use of target-specific primers and target-non-specific primers during library preparation (e.g., hybrid library preparation). In some embodiments, the methods increase the abundance of select low abundance targets during cDNA library preparation and/or sequencing library preparation.
    Type: Grant
    Filed: February 12, 2020
    Date of Patent: August 27, 2024
    Assignee: Becton, Dickinson and Company
    Inventors: Eleen Shum, Christina Fan, Elisabeth Marie Walczak
  • Patent number: 11773441
    Abstract: Disclosed herein include systems, methods, compositions, and kits for sample analysis. Nucleic acid fragments comprising a capture sequence (or a complement thereof) can be generated from double-stranded genomic deoxyribonucleic acid (gDNA), barcoded to generate single-stranded DNA (ssDNA) fragments, and sequenced. Information relating to the gDNA (e.g., genome, chromatin accessibility, methylome) can be determined based on the sequences of the ssDNA fragments in the sequencing data obtained.
    Type: Grant
    Filed: May 1, 2019
    Date of Patent: October 3, 2023
    Assignee: Becton, Dickinson and Company
    Inventors: Christina Fan, Elisabeth Marie Walczak
  • Publication number: 20230295609
    Abstract: Disclosed herein are methods and systems for classifying cell labels, for example identifying a signal cell label. In some embodiments, the method comprises: obtaining sequencing data of barcoded targets created using targets in cells barcoded using barcodes, wherein a barcode comprises a cell label and a molecular label. After ranking the cell labels, a minimum of a second derivative plot of a cumulative sum plot can be determined. Using the methods, a cell label can be classified as a signal cell label or a noise cell label based on the number of molecular labels with distinct sequences associated with the cell label and a cell label threshold.
    Type: Application
    Filed: March 6, 2023
    Publication date: September 21, 2023
    Inventors: Jing Hu, Christina Fan, David Rosenfeld, Jue Fan, Elisabeth Marie Walczak
  • Publication number: 20230295723
    Abstract: Disclosed herein include systems, methods, compositions, and kits for sample analysis. Nucleic acid fragments comprising a capture sequence (or a complement thereof) can be generated from double-stranded genomic deoxyribonucleic acid (gDNA), barcoded to generate single-stranded DNA (ssDNA) fragments, and sequenced. Information relating to the gDNA (e.g., genome, chromatin accessibility, methylome) can be determined based on the sequences of the ssDNA fragments in the sequencing data obtained.
    Type: Application
    Filed: May 26, 2023
    Publication date: September 21, 2023
    Inventors: Christina Fan, Elisabeth Marie Walczak
  • Publication number: 20230295724
    Abstract: Disclosed herein include systems, methods, compositions, and kits for sample analysis. Nucleic acid fragments comprising a capture sequence (or a complement thereof) can be generated from double-stranded genomic deoxyribonucleic acid (gDNA), barcoded to generate single-stranded DNA (ssDNA) fragments, and sequenced. Information relating to the gDNA (e.g., genome, chromatin accessibility, methylome) can be determined based on the sequences of the ssDNA fragments in the sequencing data obtained.
    Type: Application
    Filed: May 26, 2023
    Publication date: September 21, 2023
    Inventors: Christina Fan, Elisabeth Marie Walczak
  • Publication number: 20230282313
    Abstract: Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).
    Type: Application
    Filed: October 21, 2022
    Publication date: September 7, 2023
    Applicant: BERKELEY LIGHTS, INC.
    Inventors: Darshan Thaker, Keith J. Breinlinger, Vincent Haw Tien Pai, Christoph Andreas Neyer, Thomas M. Vetterli, Hayley M. Bennett, Elisabeth Marie Walczak, Alexander Gerald Olson, Wesley Arthur Zink, John A. Tenney, Oleksandr Tokmakov, Igor Fastnacht, Yuriy Nicheporuk, Andriy Koval, Khrystyna Andres, Alona Kostenko
  • Publication number: 20230105220
    Abstract: Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).
    Type: Application
    Filed: May 16, 2022
    Publication date: April 6, 2023
    Applicant: BERKELEY LIGHTS, INC.
    Inventors: Darshan Thaker, Keith J. Breinlinger, Vincent Haw Tien Pai, Christoph Andreas Neyer, Thomas M. Vetterli, Hayley M. Bennett, Elisabeth Marie Walczak, Alexander Gerald Olson, Wesley Arthur Zink, John A. Tenney, Oleksandr Tokmakov, Igor Fastnacht, Yuriy Nicheporuk, Andriy Koval, Khrystyna Andres, Alona Kostenko
  • Patent number: 11608497
    Abstract: Disclosed herein are methods and systems for classifying cell labels, for example identifying a signal cell label. In some embodiments, the method comprises: obtaining sequencing data of barcoded targets created using targets in cells barcoded using barcodes, wherein a barcode comprises a cell label and a molecular label. After ranking the cell labels, a minimum of a second derivative plot of a cumulative sum plot can be determined. Using the methods, a cell label can be classified as a signal cell label or a noise cell label based on the number of molecular labels with distinct sequences associated with the cell label and a cell label threshold.
    Type: Grant
    Filed: November 7, 2017
    Date of Patent: March 21, 2023
    Assignee: Becton, Dickinson And Company
    Inventors: Jing Hu, Christina Fan, David Rosenfeld, Jue Fan, Elisabeth Marie Walczak
  • Patent number: 11521709
    Abstract: Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).
    Type: Grant
    Filed: May 19, 2021
    Date of Patent: December 6, 2022
    Assignee: Berkeley Lights Inc.
    Inventors: Darshan Thaker, Keith J. Breinlinger, Vincent Haw Tien Pai, Christoph Andreas Neyer, Thomas M. Vetterli, Hayley M. Bennett, Elisabeth Marie Walczak, Alexander Gerald Olson, Wesley Arthur Zink, John A. Tenney, Oleksandr Tokmakov, Igor Fastnacht, Yuriy Nicheporuk, Andriy Koval, Khrystyna Andres, Alona Kostenko
  • Publication number: 20210272654
    Abstract: Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).
    Type: Application
    Filed: May 19, 2021
    Publication date: September 2, 2021
    Applicant: BERKELEY LIGHTS, INC.
    Inventors: Darshan Thaker, Keith J. Breinlinger, Vincent Haw Tien Pai, Christoph Andreas Neyer, Thomas M. Vetterli, Hayley M. Bennett, Elisabeth Marie Walczak, Alexander Gerald Olson, Wesley Arthur Zink, John A. Tenney, Oleksandr Tokmakov, Igor Fastnacht, Yuriy Nicheporuk, Andriy Koval, Khrystyna Andres, Alona Kostenko
  • Publication number: 20200263169
    Abstract: Disclosed herein include systems, methods, compositions, and kits for the labeling of nucleic acids targets. In some embodiments, the methods comprise the use of target-specific primers and target-non-specific primers during library preparation (e.g., hybrid library preparation). In some embodiments, the methods increase the abundance of select low abundance targets during cDNA library preparation and/or sequencing library preparation.
    Type: Application
    Filed: February 12, 2020
    Publication date: August 20, 2020
    Inventors: Eleen Shum, Christina Fan, Elisabeth Marie Walczak
  • Publication number: 20200040379
    Abstract: Disclosed herein include methods, compositions, and kits suitable for use in performing single nuclei capture and barcoding in a single step. In some embodiments, the method comprises isolating nuclei using a nuclei-isolation composition. The nuclei-isolation composition can comprise a nuclei-binding reagent capable of specifically binding to one or more components of a nucleus. The method can include barcoding targets in the nuclei using barcodes to generate barcoded targets for sequencing analysis.
    Type: Application
    Filed: July 29, 2019
    Publication date: February 6, 2020
    Inventors: Elisabeth Marie Walczak, Eleen Shum, Christina Chang, Christina Fan
  • Publication number: 20190338357
    Abstract: Disclosed herein include systems, methods, compositions, and kits for sample analysis. Nucleic acid fragments comprising a capture sequence (or a complement thereof) can be generated from double-stranded genomic deoxyribonucleic acid (gDNA), barcoded to generate single-stranded DNA (ssDNA) fragments, and sequenced. Information relating to the gDNA (e.g., genome, chromatin accessibility, methylome) can be determined based on the sequences of the ssDNA fragments in the sequencing data obtained.
    Type: Application
    Filed: May 1, 2019
    Publication date: November 7, 2019
    Inventors: Christina Fan, Elisabeth Marie Walczak
  • Publication number: 20180127744
    Abstract: Disclosed herein are methods and systems for classifying cell labels, for example identifying a signal cell label. In some embodiments, the method comprises: obtaining sequencing data of barcoded targets created using targets in cells barcoded using barcodes, wherein a barcode comprises a cell label and a molecular label. After ranking the cell labels, a minimum of a second derivative plot of a cumulative sum plot can be determined. Using the methods, a cell label can be classified as a signal cell label or a noise cell label based on the number of molecular labels with distinct sequences associated with the cell label and a cell label threshold.
    Type: Application
    Filed: November 7, 2017
    Publication date: May 10, 2018
    Inventors: Jing Hu, Christina Fan, David Rosenfeld, Jue Fan, Elisabeth Marie Walczak
  • Publication number: 20160289669
    Abstract: Disclosed herein are devices and systems comprising a) a substrate comprising at least 100 microwells and a plurality of beads, wherein a plurality of the at least 100 microwells each contain a single bead, and wherein the ratio of the average diameter of the microwells to the diameter of the beads ranges from about 1.2 to about 1.8; b) a flow cell in fluid communication with the substrate; and c) at least one inlet port and at least one outlet port, wherein the at least one inlet port and at least one outlet port are capable of directing a flow of a fluid through the flow cell, thereby contacting the microwells with the fluid.
    Type: Application
    Filed: January 22, 2016
    Publication date: October 6, 2016
    Inventors: Christina Fan, Stephen P.A. Fodor, Glenn Fu, Geoff Facer, David Stern, Janice Lai, Ari Chaney, Phillip Spuhler, Sixing Li, Xiaohua Chen Huang, Kimberly R. Metzler, Elisabeth Marie Walczak