Patents by Inventor David A. Van Valen

David A. Van Valen 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).

  • Training data generation with generative modeling
    Patent number: 12249126
    Abstract: Disclosed herein include systems, devices, and methods for generating training data for spot detection using generative models with expectation maximization. The training data can be used to train a machine learning model for spot detection.
    Type: Grant
    Filed: February 24, 2022
    Date of Patent: March 11, 2025
    Assignee: California Institute of Technology
    Inventors: Emily C. Laubscher, Nitzan Razin, David A. Van Valen
  • Deep learning enabled spatial optical barcodes for pooled library screens
    Patent number: 12139705
    Abstract: Disclosed herein include systems, methods, and compositions for determining perturbations in single cells or performing integrated measurements using, for example, plasmids each comprising (i) a perturbation gRNA with a guide region targeting a chromosome sequence and (ii) barcode gRNAs each with a guide region targeting predetermined spatial region of the genome and zero, one, or more optical detection probe binding sites.
    Type: Grant
    Filed: November 4, 2020
    Date of Patent: November 12, 2024
    Assignee: California Institute of Technology
    Inventors: Morgan S. Schwartz, David A. Van Valen, Edward Pao
  • Tracking biological objects over time and space
    Patent number: 12094126
    Abstract: Disclosed herein include systems and methods for biological object tracking and lineage construction. Also disclosed herein include cloud-based systems and methods for allocating computational resources for deep learning-enabled image analysis of biological objects. Also disclosed herein include systems and methods for annotating and curating biological object tracking-specific training datasets.
    Type: Grant
    Filed: December 30, 2022
    Date of Patent: September 17, 2024
    Assignee: California Institute of Technology
    Inventors: Erick K. Moen, Enrico Z. Borba, David A. Van Valen, William H. Graf, Barry D. Bannon
  • TRACKING BIOLOGICAL OBJECTS OVER TIME AND SPACE
    Publication number: 20230394675
    Abstract: Disclosed herein include systems and methods for biological object tracking and lineage construction. Also disclosed herein include cloud-based systems and methods for allocating computational resources for deep learning-enabled image analysis of biological objects. Also disclosed herein include systems and methods for annotating and curating biological object tracking-specific training datasets.
    Type: Application
    Filed: December 30, 2022
    Publication date: December 7, 2023
    Inventors: Erick K. Moen, Enrico Z. Borba, David A. Van Valen, William H. Graf, Barry D. Bannon
  • Tracking biological objects over time and space
    Patent number: 11544843
    Abstract: Disclosed herein include systems and methods for biological object tracking and lineage construction. Also disclosed herein include cloud-based systems and methods for allocating computational resources for deep learning-enabled image analysis of biological objects. Also disclosed herein include systems and methods for annotating and curating biological object tracking-specific training datasets.
    Type: Grant
    Filed: April 27, 2020
    Date of Patent: January 3, 2023
    Assignee: California Institute of Technology
    Inventors: Erick K. Moen, Enrico Z. Borba, David A. Van Valen, William H. Graf, Barry D. Bannon
  • TRAINING DATA GENERATION WITH GENERATIVE MODELING
    Publication number: 20220284697
    Abstract: Disclosed herein include systems, devices, and methods for generating training data for spot detection using generative models with expectation maximization. The training data can be used to train a machine learning model for spot detection.
    Type: Application
    Filed: February 24, 2022
    Publication date: September 8, 2022
    Inventors: Emily C. Laubscher, Nitzan Razin, David A. Van Valen
  • DEEP LEARNING ENABLED SPATIAL OPTICAL BARCODES FOR POOLED LIBRARY SCREENS
    Publication number: 20210130810
    Abstract: Disclosed herein include systems, methods, and compositions for determining perturbations in single cells or performing integrated measurements using, for example, plasmids each comprising (i) a perturbation gRNA with a guide region targeting a chromosome sequence and (ii) barcode gRNAs each with a guide region targeting predetermined spatial region of the genome and zero, one, or more optical detection probe binding sites.
    Type: Application
    Filed: November 4, 2020
    Publication date: May 6, 2021
    Inventors: Morgan S. Schwartz, David A. Van Valen, Edward Pao
  • TRACKING BIOLOGICAL OBJECTS OVER TIME AND SPACE
    Publication number: 20200364857
    Abstract: Disclosed herein include systems and methods for biological object tracking and lineage construction. Also disclosed herein include cloud-based systems and methods for allocating computational resources for deep learning-enabled image analysis of biological objects. Also disclosed herein include systems and methods for annotating and curating biological object tracking-specific training datasets.
    Type: Application
    Filed: April 27, 2020
    Publication date: November 19, 2020
    Inventors: Erick K. Moen, Enrico Z. Borba, David A. Van Valen, Will H. Graf, Barry D. Bannon