Patents by Inventor Vincent Haw Tien Pai
Vincent Haw Tien Pai 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).
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Publication number: 20230323433Abstract: Disclosed herein are methods for performing assays, including general functional assays, on a biological cell. Also disclosed herein are methods of barcoding the 5? ends of RNA from a biological cell and methods of preparation of expression constructs from the barcoded RNA. The barcoded RNA can encode proteins of interest, such as B cell receptor (BCR) heavy and light chain sequences. The expression constructs can be generated individually or in a paired/multiplexed manner, allowing rapid re-expression of individual proteins or protein complexes.Type: ApplicationFiled: March 6, 2023Publication date: October 12, 2023Applicant: Berkeley Lights, Inc.Inventors: Matthew Asuka Kubit, Joshua David Mast, John Junyeon Kim, Alexander Gerald Olson, Preston Lock Ng, Arlvin Louis Ellefson, Shruthi Sreedhar Kubatur, Vincent Haw Tien Pai, Minha Park, Po-Yuan Tung, Jason C. Briggs, Patrick N. Ingram, Katrine Elise Dailey, Maryam Shansab, Jason M. McEwen, Adrienne T. Higa, Hongye Zhou, Zhen Hu, John A. Tenney
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Publication number: 20230282313Abstract: 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: ApplicationFiled: October 21, 2022Publication date: September 7, 2023Applicant: 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
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Publication number: 20230105220Abstract: 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: ApplicationFiled: May 16, 2022Publication date: April 6, 2023Applicant: 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
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Patent number: 11521709Abstract: 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: GrantFiled: May 19, 2021Date of Patent: December 6, 2022Assignee: 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
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Publication number: 20220033758Abstract: Methods for laser-assisted repositioning of a micro-object and for culturing an attachment-dependent biological cell within a microfluidic device are described herein. Laser illumination is used to controllably create a bubble which repositions the micro-object. Further, methods of culturing an attachment-dependent biological cell are described, where the methods may include laser-assisted repositioning.Type: ApplicationFiled: August 13, 2021Publication date: February 3, 2022Inventors: Eric K. SACKMANN, Nathan J. VER HEUL, Ryan M. COOPER, Alexander J. MASTROIANNI, Annamaria MOCCIARO, Vincent Haw Tien PAI, Randall D. LOWE, JR., Hector D. NEIRA-QUINTERO, Patrick N. INGRAM, Smriti SRIDHAR
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Publication number: 20210349075Abstract: Methods are provided for the assay of secreted biomolecules using automated detection and characterization of micro-objects in a microfluidic device. The biomolecules can be secreted by cells, particularly immunological cells, such as T cells. The biomolecules being assayed can include cytokines, growth factors, and the like. Methods are also provided for assaying the cytotoxicity of a cell with respect to another, target cell. Also provided are kits and non-transitory computer-readable media in which programs are stored for causing a system comprising a computer to perform automated methods for detecting secreted biomolecules and/or cytotoxicity in a microfluidic device.Type: ApplicationFiled: April 27, 2021Publication date: November 11, 2021Inventors: Yelena BRONEVETSKY, Annamaria MOCCIARO, Guido K. STADLER, Peter J. BEEMILLER, Natalie C. MARKS, Duane SMITH, Vincent Haw Tien PAI, Jason M. MCEWEN, Amanda L. GOODSELL, John A. TENNEY, Thomas M. VETTERLI, Hansohl E. Kim
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Publication number: 20210272654Abstract: 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: ApplicationFiled: May 19, 2021Publication date: September 2, 2021Applicant: 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