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:
Jun. 10, 2025

Filed:

Dec. 20, 2021
Applicant:

X-zell, Inc., Wilmington, DE (US);

Assignee:

X-Zell, Inc., Wilmington, DE (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01N 1/30 (2006.01); C11D 1/66 (2006.01); C11D 3/04 (2006.01); C11D 3/20 (2006.01); C11D 3/37 (2006.01); C11D 3/43 (2006.01); C12N 11/08 (2020.01); C12N 11/089 (2020.01); G01N 1/36 (2006.01); G01N 33/574 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G01N 1/30 (2013.01); C11D 1/667 (2013.01); C11D 3/046 (2013.01); C11D 3/2003 (2013.01); C11D 3/2065 (2013.01); C11D 3/3776 (2013.01); C11D 3/43 (2013.01); C12N 11/08 (2013.01); C12N 11/089 (2020.01); G01N 1/36 (2013.01); G06T 7/0012 (2013.01); G06T 7/0014 (2013.01); C11D 2111/12 (2024.01); C11D 2111/44 (2024.01); G01N 2001/302 (2013.01); G01N 2001/305 (2013.01); G01N 33/574 (2013.01);
Abstract

Disclosed herein are compositions and methods of fixing and staining rare cells. Further, disclosed herein are methods of identifying circulating tumor cells (CTC). In some embodiments, the method includes: imaging a cell sample to identify a cell of interest; determining a first pixel intensity of a stained nuclear area; determining a second pixel intensity of a background area; calculating a ploidy status of the cell of interest by subtracting the second pixel intensity from the first pixel intensity; and determining whether the cell of interest is a CTC based on the ploidy status. The method may be computer implemented, such that the method uses a machine learning algorithm to identify a feature; process the feature to extract a parameter of interest; analyze the parameter of interest; and when the parameter of interest is greater than or less than a pre-determined threshold, classify the cell of interest as a CTC.


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