Eric P Christiansen

US Patent:

20230114552, Apr 13, 2023

Filed:

Sep 12, 2022

Appl. No.:

17/943089

Inventors:

- Mountain View CA, US
Eric Martin Christiansen - Carlsbad CA, US
Marc Berndl - Mountain View CA, US
Michael Frumkin - Santa Cruz CA, US

International Classification:

G06N 3/08
G06T 7/60
G06V 20/69
G06N 3/045

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.

US Patent:

20200320394, Oct 8, 2020

Filed:

Jun 18, 2020

Appl. No.:

16/905714

Inventors:

- Mountain View CA, US
Eric Martin Christiansen - Carlsbad CA, US
Marc Berndl - Mountain View CA, US
Michael Frumkin - Santa Cruz CA, US

International Classification:

G06N 3/08
G06T 7/60
G06K 9/00
G06N 3/04

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.

US Patent:

20180349770, Dec 6, 2018

Filed:

May 14, 2018

Appl. No.:

15/979104

Inventors:

- Mountain View CA, US
Eric Martin Christiansen - Carlsbad CA, US
Marc Berndl - San Francisco CA, US
Michael Frumkin - Santa Cruz CA, US

International Classification:

G06N 3/08
G06K 9/00
G06N 3/04
G06T 7/60

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.

US Patent:

20170249548, Aug 31, 2017

Filed:

Feb 26, 2016

Appl. No.:

15/055446

Inventors:

- Mountain View CA, US
Eric Martin Christiansen - Carlsbad CA, US
Marc Berndl - San Francisco CA, US
Michael Frumkin - Santa Cruz CA, US

International Classification:

G06N 3/08
G06T 7/60

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.