The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 06, 2022

Filed:

Apr. 05, 2019
Applicant:

Sony Corporation, Tokyo, JP;

Inventors:

Takeshi Ohashi, Kanagawa, JP;

Masataka Shinoda, Kanagawa, JP;

Assignee:

Sony Corporation, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06N 20/00 (2019.01); C12M 1/34 (2006.01); C12M 1/36 (2006.01); G06F 3/14 (2006.01); G06K 9/62 (2022.01); G06N 5/04 (2006.01); G06T 11/20 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0016 (2013.01); C12M 41/46 (2013.01); C12M 41/48 (2013.01); G06F 3/14 (2013.01); G06K 9/6256 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06T 11/206 (2013.01); G06T 2207/20036 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30072 (2013.01);
Abstract

The technology is provided to effectively visualize culture statuses related to a plurality of culture targets. Provided is a control device including a display control unit that controls dynamic display related to a culture status of a culture target including a cell having a division potential, the culture status being estimated along a time series by morphological analysis using a learned model generated on the basis of a machine learning algorithm, in which the display control unit controls comparative display of the culture statuses of a plurality of the culture targets. Furthermore, provided is a control method including controlling, by a processor, dynamic display related to a culture status of a culture target including a cell having a division potential, the culture status being estimated along a time series by morphological analysis using a learned model generated on the basis of a machine learning algorithm, and controlling the display further including controlling comparative display of the culture statuses of a plurality of the culture targets.


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