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. 25, 2024

Filed:

Nov. 14, 2019
Applicant:

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

Inventors:

Aydogan Ozcan, Los Angeles, CA (US);

Yair Rivenson, Los Angeles, CA (US);

Yichen Wu, Los Angeles, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G02B 21/00 (2006.01); G02B 21/36 (2006.01); G03H 1/00 (2006.01); G03H 1/26 (2006.01); G06T 5/70 (2024.01); G06T 7/50 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G02B 21/0008 (2013.01); G02B 21/365 (2013.01); G03H 1/0005 (2013.01); G03H 1/268 (2013.01); G06T 5/70 (2024.01); G06T 7/50 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01); G03H 2001/005 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/10064 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A trained deep neural network transforms an image of a sample obtained with a holographic microscope to an image that substantially resembles a microscopy image obtained with a microscope having a different microscopy image modality. Examples of different imaging modalities include bright-field, fluorescence, and dark-field. For bright-field applications, deep learning brings bright-field microscopy contrast to holographic images of a sample, bridging the volumetric imaging capability of holography with the speckle-free and artifact-free image contrast of bright-field microscopy. Holographic microscopy images obtained with a holographic microscope are input into a trained deep neural network to perform cross-modality image transformation from a digitally back-propagated hologram corresponding to a particular depth within a sample volume into an image that substantially resembles a microscopy image of the sample obtained at the same particular depth with a microscope having the different microscopy image modality.


Find Patent Forward Citations

Loading…