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:
Apr. 08, 2025

Filed:

Jan. 27, 2021
Applicant:

The Regents of the University of California, Los Angeles, CA (US);

Inventors:

Aydogan Ozcan, Los Angeles, CA (US);

Yair Rivenson, Los Angeles, CA (US);

Hongda Wang, Los Angeles, CA (US);

Hatice Ceylan Koydemir, Los Angeles, CA (US);

Yunzhe Qiu, Los Angeles, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
C12Q 1/04 (2006.01); G02B 21/26 (2006.01); G02B 21/36 (2006.01); G03H 1/00 (2006.01); G06V 10/10 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01); H04N 23/56 (2023.01); H04N 23/698 (2023.01);
U.S. Cl.
CPC ...
C12Q 1/04 (2013.01); G02B 21/26 (2013.01); G02B 21/365 (2013.01); G03H 1/0005 (2013.01); G06V 10/16 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01); G06V 20/698 (2022.01); H04N 23/56 (2023.01); H04N 23/698 (2023.01); G03H 2001/005 (2013.01);
Abstract

A system for the detection and classification of live microorganisms in a sample includes a light source and an incubator holding one or more sample-containing growth plates. A translation stage moves the image sensor and/or the growth plate(s) along one or more dimensions to capture time-lapse holographic images of microorganisms. Image processing software executed by a computing device captures time-lapse holographic images of the microorganisms or clusters of microorganisms on the one or more growth plates. The image processing software is configured to detect candidate microorganism colonies in reconstructed, time-lapse holographic images based on differential image analysis. The image processing software includes one or more trained deep neural networks that process the time-lapsed image(s) of candidate microorganism colonies to detect true microorganism colonies and/or output a species associated with each true microorganism colony.


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