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. 30, 2024

Filed:

May. 26, 2021
Applicant:

South China Agricultural University, Guangdong, CN;

Inventors:

Fang Lin, Guangdong, CN;

Qi Zhang, Guangdong, CN;

Chen Wang, Guangdong, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G01N 23/04 (2018.01); G01N 23/2251 (2018.01); G06F 18/214 (2023.01); G06F 18/232 (2023.01); G06T 7/00 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
G01N 23/04 (2013.01); G01N 23/2251 (2013.01); G06F 18/214 (2023.01); G06F 18/232 (2023.01); G06T 7/0002 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); G06T 2207/10061 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30168 (2013.01);
Abstract

The present disclosure provides a determination method, an elimination method and an apparatus for an electron microscope aberration. The determination method comprises: training a neural network for image recognition using a plurality of electron microscope simulation images to obtain an electron microscope image recognition model; recognizing an electron microscope image of an experimental sample using the electron microscope image recognition model to obtain the electron microscope simulation image corresponding to the electron microscope image of the experimental sample; and obtaining the corresponding set aberration as an imaging aberration of the electron microscope image of the experimental sample according to the electron microscope simulation image corresponding to the electron microscope image of the experimental sample. Through the above solution, an aberration value of an electron microscope can be obtained using a lattice image of the experimental sample, thereby improving an imaging effect of the electron microscope.


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