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:
Jul. 23, 2019

Filed:

Nov. 08, 2016
Applicant:

Zeta Instruments, Inc., San Jose, CA (US);

Inventors:

James Jianguo Xu, San Jose, CA (US);

Ronny Soetarman, Fremont, CA (US);

Budi Hartono, Fremont, CA (US);

Assignee:

KLA-TENCOR CORPORATION, Milpitas, CA (US);

Attorneys:
Assistant Examiner:
Int. Cl.
CPC ...
G02B 21/24 (2006.01); G02B 21/00 (2006.01); G02B 21/26 (2006.01); G02B 21/36 (2006.01); G06T 7/00 (2017.01); G06T 7/571 (2017.01);
U.S. Cl.
CPC ...
G02B 21/244 (2013.01); G02B 21/0016 (2013.01); G02B 21/26 (2013.01); G02B 21/367 (2013.01); G06T 7/0006 (2013.01); G06T 7/571 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/10148 (2013.01); G06T 2207/30148 (2013.01);
Abstract

A method of generating 3D information includes: varying the distance between the sample and an objective lens of the optical microscope at pre-determined steps, capturing an image at each pre-determined step; determining a characteristic value of each pixel in each captured image; determining, for each captured image, the greatest characteristic value across all pixels in the captured image; comparing the greatest characteristic value for each captured image to determine if a surface of the sample is present at each pre-determined step; determining a first captured image that is focused on a first surface of the sample based on the characteristic value of each pixel in each captured image; determining a second captured image that is focused on a second surface of the sample based on the characteristic value of each pixel in each captured image; and determining a first distance between the first surface and the second surface.


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