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    Processing cell images using neural networks
    4.
    发明授权
    Processing cell images using neural networks 有权

    公开(公告)号：US11443190B2

    公开(公告)日：2022-09-13

    申请号：US16905714

    申请日：2020-06-18

    Applicant: Google LLC

    Inventor： Philip Charles Nelson ,  Eric Martin Christiansen ,  Marc Berndl ,  Michael Frumkin

    IPC: G06V20/69 ,  G06N3/08 ,  G06T7/60 ,  G06N3/04 ,  G06N3/02

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.

    Processing cell images using neural networks
    5.
    发明授权
    Processing cell images using neural networks 有权

    公开(公告)号：US10692001B2

    公开(公告)日：2020-06-23

    申请号：US15979104

    申请日：2018-05-14

    Applicant: Google LLC

    Inventor： Philip Charles Nelson ,  Eric Martin Christiansen ,  Marc Berndl ,  Michael Frumkin

    IPC: G06K9/00 ,  G06N3/08 ,  G06T7/60 ,  G06N3/04 ,  G06N3/02

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.

    Processing cell images using neural networks
    6.
    发明授权
    Processing cell images using neural networks 有权

    公开(公告)号：US09971966B2

    公开(公告)日：2018-05-15

    申请号：US15055446

    申请日：2016-02-26

    Applicant: Google LLC

    Inventor： Philip Charles Nelson ,  Eric Martin Christiansen ,  Marc Berndl ,  Michael Frumkin

    IPC: G06K9/00 ,  G06N3/08 ,  G06T7/60 ,  G06N3/02

    CPC classification number: G06N3/08 ,  G06K9/00127 ,  G06N3/02 ,  G06N3/0454 ,  G06T7/60 ,  G06T2207/20084

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.

    PROCESSING CELL IMAGES USING NEURAL NETWORKS
    7.
    发明申请
    PROCESSING CELL IMAGES USING NEURAL NETWORKS 有权

    公开(公告)号：US20230114552A1

    公开(公告)日：2023-04-13

    申请号：US17943089

    申请日：2022-09-12

    Applicant: Google LLC

    Inventor： Philip Charles Nelson ,  Eric Martin Christiansen ,  Marc Berndl ,  Michael Frumkin

    IPC: G06N3/08 ,  G06T7/60 ,  G06V20/69 ,  G06N3/045

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.

    Neural network for processing aptamer data
    8.
    发明授权
    Neural network for processing aptamer data 有权

    公开(公告)号：US10546650B2

    公开(公告)日：2020-01-28

    申请号：US14921973

    申请日：2015-10-23

    Applicant: Google LLC

    Inventor： Michelle Therese Hoerner Dimon ,  Marc Berndl ,  Marc Adlai Coram ,  Brian Trippe ,  Patrick F. Riley ,  Philip Charles Nelson

    IPC: G16B40/00 ,  G06N3/08 ,  G06N3/04

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for obtaining data defining a sequence for an aptamer, the aptamer comprising a string of nucleobases; encoding the data defining the sequence for the aptamer as a neural network input; and processing the neural network input using a neural network to generate an output that characterizes how strongly the aptamer binds to a particular target molecule, wherein the neural network has been configured through training to receive the data defining the sequence and to process the data to generate predicted outputs that characterize how strongly the aptamer binds to the particular target molecule.

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