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:
Jan. 15, 2019

Filed:

Jul. 23, 2015
Applicants:

National University Corporation Hamamatsu University School of Medicine, Hamamatsu-shi, Shizuoka, JP;

Hamamatsu Photonics K.k., Hamamatsu-shi, Shizuoka, JP;

Inventors:

Yusuke Ozaki, Hamamatsu, JP;

Hidenao Iwai, Hamamatsu, JP;

Hiroyuki Konno, Hamamatsu, JP;

Hirotoshi Kikuchi, Hamamatsu, JP;

Toyohiko Yamauchi, Hamamatsu, JP;

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G01N 15/14 (2006.01); G01B 11/06 (2006.01); G01N 15/02 (2006.01); G01N 15/10 (2006.01); G06T 7/00 (2017.01); G01N 15/00 (2006.01);
U.S. Cl.
CPC ...
G01N 15/1429 (2013.01); G01B 11/06 (2013.01); G01N 15/0227 (2013.01); G01N 15/10 (2013.01); G01N 15/14 (2013.01); G01N 15/1463 (2013.01); G01N 15/1475 (2013.01); G06K 9/00147 (2013.01); G06T 7/0014 (2013.01); G01N 2015/008 (2013.01); G01N 2015/025 (2013.01); G01N 2015/1018 (2013.01); G01N 2015/1493 (2013.01); G06T 2207/30024 (2013.01);
Abstract

The identification apparatus includes a quantitative phase image acquisition unit, a feature quantity extraction unit, a learning unit, a storage unit, and an identification unit. The feature quantity extraction unit extracts a feature quantity of a quantitative phase image of a cell. The learning unit performs machine learning for a quantitative phase image of a known cell of which a type is known based on the feature quantity extracted by the extraction unit. The storage unit stores a result of the machine learning by the learning unit. The identification unit determines, based on the feature quantity extracted by the extraction unit for the quantitative phase image of an unknown cell of which a type is unknown, the type of the unknown cell using the learning result stored by the storage unit.


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