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:
Feb. 07, 2023

Filed:

Feb. 03, 2021
Applicant:

Nanotronics Imaging, Inc., Cuyahoga Falls, OH (US);

Inventors:

Matthew C. Putman, Brooklyn, NY (US);

Vadim Pinskiy, Wayne, NJ (US);

Tanaporn Na Narong, Palo Alto, CA (US);

Denis Sharoukhov, Brooklyn, NY (US);

Tonislav Ivanov, Brooklyn, NY (US);

Assignee:

Nanotronics Imaging, Inc., Cuyahoga Falls, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/586 (2017.01); H04N 5/225 (2006.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01); G02B 21/36 (2006.01);
U.S. Cl.
CPC ...
G06T 7/586 (2017.01); G02B 21/367 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); H04N 5/2256 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/10152 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

An imaging system is disclosed herein. The imaging system includes an imaging apparatus and a computing system. The imaging apparatus includes a plurality of light sources positioned at a plurality of positions and a plurality of angles relative to a stage configured to support a specimen. The imaging apparatus is configured to capture a plurality of images of a surface of the specimen. The computing system in communication with the imaging apparatus. The computing system configured to generate a 3D-reconstruction of the surface of the specimen by receiving, from the imaging apparatus, the plurality of images of the surface of the specimen, generating, by the imaging apparatus via a deep learning model, a height map of the surface of the specimen based on the plurality of images, and outputting a 3D-reconstruction of the surface of the specimen based on the height map generated by the deep learning model.


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