Patents by Inventor Ali Mousavi

Ali Mousavi 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: 20250060291
    Abstract: Automated system configured to perform and methods for performing one or more slide processing operations on slides bearing biological samples. The system and methods enable high sample throughput while also minimizing or limiting the potential for cross-contamination of slides. The automated systems can include features that facilitate consistency, controllability of processing time, and/or processing temperature.
    Type: Application
    Filed: November 7, 2024
    Publication date: February 20, 2025
    Inventors: Kayla Capps, Henning Groll, Brian Howard Kram, Matthew Mette, Ali Mousavi, Christine Tse, Glen Ward, Daniel O'Connor, Troy Paluszcyk, Benjamin David Randall, Ken Stumpe
  • Patent number: 12181389
    Abstract: Automated system configured to perform and methods for performing one or more slide processing operations on slides bearing biological samples. The system and methods enable high sample throughput while also minimizing or limiting the potential for cross-contamination of slides. The automated systems can include features that facilitate consistency, controllability of processing time, and/or processing temperature.
    Type: Grant
    Filed: February 22, 2023
    Date of Patent: December 31, 2024
    Assignee: Ventana Medical Systems, Inc.
    Inventors: Kayla Capps, Henning Groll, Brian Howard Kram, Matthew Mette, Ali Mousavi, Christine Tse, Glen Ward, Daniel O'Connor, Troy Paluszcyk, Benjamin David Randall, Ken Stumpe
  • Publication number: 20230194397
    Abstract: Automated system configured to perform and methods for performing one or more slide processing operations on slides bearing biological samples. The system and methods enable high sample throughput while also minimizing or limiting the potential for cross-contamination of slides. The automated systems can include features that facilitate consistency, controllability of processing time, and/or processing temperature.
    Type: Application
    Filed: February 22, 2023
    Publication date: June 22, 2023
    Inventors: Kayla Capps, Henning Groll, Brian Howard Kram, Matthew Mette, Ali Mousavi, Christine Tse, Glen Ward, Daniel O'Connor, Troy Paluszcyk, Benjamin David Randall, Ken Stumpe
  • Patent number: 11614387
    Abstract: Automated system configured to perform and methods for performing one or more slide processing operations on slides bearing biological samples. The system and methods enable high sample throughput while also minimizing or limiting the potential for cross-contamination of slides. The automated systems can include features that facilitate consistency, controllability of processing time, and/or processing temperature.
    Type: Grant
    Filed: August 21, 2020
    Date of Patent: March 28, 2023
    Assignee: Ventana Medical Systems, Inc.
    Inventors: Kayla Capps, Henning Groll, Brian Howard Kram, Matthew Mette, Ali Mousavi, Christine Tse, Glen Ward, Daniel O'Connor, Troy Paluszcyk, Benjamin David Randall, Ken Stumpe
  • Patent number: 10985777
    Abstract: Real-world data may not be sparse in a fixed basis, and current high-performance recovery algorithms are slow to converge, which limits compressive sensing (CS) to either non-real-time applications or scenarios where massive back-end computing is available. Presented herein are embodiments for improving CS by developing a new signal recovery framework that uses a deep convolutional neural network (CNN) to learn the inverse transformation from measurement signals. When trained on a set of representative images, the network learns both a representation for the signals and an inverse map approximating a greedy or convex recovery algorithm. Implementations on real data indicate that some embodiments closely approximate the solution produced by state-of-the-art CS recovery algorithms, yet are hundreds of times faster in run time.
    Type: Grant
    Filed: December 6, 2017
    Date of Patent: April 20, 2021
    Assignee: William Marsh Rice University
    Inventors: Richard G. Baraniuk, Ali Mousavi
  • Publication number: 20210080360
    Abstract: Automated system configured to perform and methods for performing one or more slide processing operations on slides bearing biological samples. The system and methods enable high sample throughput while also minimizing or limiting the potential for cross-contamination of slides. The automated systems can include features that facilitate consistency, controllability of processing time, and/or processing temperature.
    Type: Application
    Filed: August 21, 2020
    Publication date: March 18, 2021
    Inventors: Kayla Capps, Henning Groll, Brian Howard Kram, Matthew Mette, Ali Mousavi, Christine Tse, Glen Ward, Daniel O'Connor, Troy Paluszcyk, Benjamin David Randall, Ken Stumpe
  • Patent number: 10794805
    Abstract: Automated system configured to perform and methods for performing one or more slide processing operations on slides bearing biological samples. The system and methods enable high sample throughput while also minimizing or limiting the potential for cross-contamination of slides. The automated systems can include features that facilitate consistency, controllability of processing time, and/or processing temperature.
    Type: Grant
    Filed: April 5, 2019
    Date of Patent: October 6, 2020
    Assignee: Ventana Medical Systems, Inc.
    Inventors: Kayla Capps, Henning Groll, Brian Howard Kram, Matthew Mette, Ali Mousavi, Christine Tse, Glen Ward, Daniel O'Connor, Troy Paluszcyk, Benjamin David Randall, Ken Stumpe
  • Publication number: 20190340497
    Abstract: Real-world data may not be sparse in a fixed basis, and current high-performance recovery algorithms are slow to converge, which limits compressive sensing (CS) to either non-real-time applications or scenarios where massive back-end computing is available. Presented herein are embodiments for improving CS by developing a new signal recovery framework that uses a deep convolutional neural network (CNN) to learn the inverse transformation from measurement signals. When trained on a set of representative images, the network learns both a representation for the signals and an inverse map approximating a greedy or convex recovery algorithm. Implementations on real data indicate that some embodiments closely approximate the solution produced by state-of-the-art CS recovery algorithms, yet are hundreds of times faster in run time.
    Type: Application
    Filed: December 6, 2017
    Publication date: November 7, 2019
    Inventors: Richard G. Baraniuk, Ali Mousavi
  • Publication number: 20190234843
    Abstract: Automated system configured to perform and methods for performing one or more slide processing operations on slides bearing biological samples. The system and methods enable high sample throughput while also minimizing or limiting the potential for cross-contamination of slides. The automated systems can include features that facilitate consistency, controllability of processing time, and/or processing temperature.
    Type: Application
    Filed: April 5, 2019
    Publication date: August 1, 2019
    Inventors: Kayla Capps, Henning Groll, Brian Howard Kram, Matthew Mette, Ali Mousavi, Christine Tse, Glen Ward, Daniel O'Connor, Troy Paluszcyk, Benjamin David Randall, Ken Stumpe
  • Patent number: 10254202
    Abstract: Automated system configured to perform and methods for performing one or more slide processing operations on slides bearing biological samples. The system and methods enable high sample throughput while also minimizing or limiting the potential for cross-contamination of slides. The automated systems can include features that facilitate consistency, controllability of processing time, and/or processing temperature.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: April 9, 2019
    Assignee: Ventana Medical Systems, Inc.
    Inventors: Kayla Capps, Henning Groll, Brian Howard Kram, Matthew Mette, Ali Mousavi, Christine Tse, Glen Ward, Daniel O'Connor, Troy Paluszcyk, Benjamin David Randall, Ken Stumpe
  • Publication number: 20160282239
    Abstract: Automated system configured to perform and methods for performing one or more slide processing operations on slides bearing biological samples. The system and methods enable high sample throughput while also minimizing or limiting the potential for cross-contamination of slides. The automated systems can include features that facilitate consistency, controllability of processing time, and/or processing temperature.
    Type: Application
    Filed: June 10, 2016
    Publication date: September 29, 2016
    Inventors: Kayla Capps, Henning Groll, Brian Howard Kram, Matthew Mette, Ali Mousavi, Christine Tse, Glen Ward, Daniel O'Connor, Troy Paluszcyk, Benjamin David Randall, Ken Stumpe
  • Publication number: 20050224603
    Abstract: An improved irrigation spray head for use with pressurized water to produce a generally 360° spray pattern is provided. The spray head has a first channel that provides a water flow path in a generally vertical direction from the distal end of the spray head body to a main exit port. The spray head body includes a cavity having a geometry that, along with the first channel and the main exit port designs, causes the pressurized water to disperse radially outward away from the spray head body in the generally 360° spray pattern. A plurality of secondary channels provides secondary water flow paths from a plurality of interior ports in the cavity to a plurality of sidewall exit ports. The secondary channels result in a water flow out of the sidewall ports at a reduced water velocity thereby providing enhanced, close-in irrigation coverage.
    Type: Application
    Filed: April 7, 2004
    Publication date: October 13, 2005
    Inventors: Ali Mousavi, Rahul Yarala