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. 17, 2023

Filed:

Apr. 20, 2021
Applicant:

National Chung Cheng University, Chia-Yi, TW;

Inventors:

Hsiang-Chen Wang, Chiayi, TW;

Kai-Chun Li, Kaohsiung, TW;

Kai-Hsiang Ke, Chiayi, TW;

Chun-Wen Liang, Hsinchu, TW;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G02B 21/36 (2006.01); G01J 3/44 (2006.01); G01J 3/28 (2006.01); G01N 21/65 (2006.01); G01N 21/17 (2006.01);
U.S. Cl.
CPC ...
G02B 21/367 (2013.01); G01J 3/2823 (2013.01); G01J 3/44 (2013.01); G01N 21/658 (2013.01); G02B 21/361 (2013.01); G01N 2021/1765 (2013.01);
Abstract

A method for analyzing 2D material thin film and a system for analyzing 2D material thin film are disclosed. The detection method includes the following steps: capturing sample images of 2D material thin films; measuring the 2D material thin films by a Raman spectrometer; performing a visible light hyperspectral algorithm on the sample images by a processor to generate a plurality of visible light hyperspectral images; performing a training and validation procedure, performing an image feature algorithm on the visible light hyperspectral images, and establishing a thin film prediction model based on a validation; and capturing a thin-film image to be measured by the optical microscope, performing the visible light hyperspectral algorithm, and then generating a distribution result of the thin-film image to be measured according to an analysis of the thin film prediction model.


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