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. 09, 2024

Filed:

Sep. 08, 2022
Applicant:

Cellmax Ltd., Grand Cayman, KY;

Inventors:

Huangpin B. Hsieh, Palo Alto, CA (US);

XiaoMing Wang, Dublin, CA (US);

Jr-Ming Lai, Taipei, TW;

Rui Mei, Santa Clara, CA (US);

Hung-Jen Shao, Taipei, TW;

Jen-Chia Wu, Taipei, TW;

Assignee:

CellMax Ltd., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); C12Q 1/6886 (2018.01); G01N 15/14 (2006.01); G01N 33/574 (2006.01); G01N 33/50 (2006.01); G01N 1/31 (2006.01); G01N 33/58 (2006.01); C12Q 1/6883 (2018.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
C12Q 1/6886 (2013.01); G01N 1/31 (2013.01); G01N 15/1475 (2013.01); G01N 33/5094 (2013.01); G01N 33/57484 (2013.01); G01N 33/582 (2013.01); C12Q 1/6883 (2013.01); G01N 15/1468 (2013.01); G01N 2015/1472 (2013.01); G01N 2333/4742 (2013.01); G01N 2333/70589 (2013.01); G06T 7/0012 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01);
Abstract

Techniques for identifying and enumerating candidate target cells within a biological fluid specimen are described. A digital image of the biological fluid specimen is received, and one or more candidate regions of pixels in the digital image are identified by identifying connected regions of pixels of a minimum intensity having a size between a minimum size and a maximum size and an aspect ratio that meets a threshold. For each candidate region of at least one of the one or more candidate region, whether the portion of the image corresponding to the candidate region includes more than a threshold number of intensity levels is determined. If the portion of the image corresponding to the candidate region includes more than the threshold number of intensity levels the portion of the image is continued to be treated as a candidate for classification.


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