公开(公告)号：US20170249548A1

公开(公告)日：2017-08-31

申请号：US15055446

申请日：2016-02-26

Applicant: Google Inc.

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

IPC: G06N3/08 ,  G06T7/60

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.

公开(公告)号：US20170116371A1

公开(公告)日：2017-04-27

申请号：US14921973

申请日：2015-10-23

Applicant: Google Inc.

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

IPC: G06F19/24 ,  G06N3/08

CPC classification number: G16B40/00 ,  G06N3/0454 ,  G06N3/08

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.