IP Library › Granted Patent US 11,995,817
Granted Patent B2
US 11,995,817 · App. 17/643,682 · Granted May 28, 2024

Defect inspection method

Inventor: Ryoichi Hirano (Tokyo, JP)
Assignee: NuFlare Technology, Inc.
G06T7/001G01N21/8806G06V10/751
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Quick Facts
Patent No.
US 11,995,817
App. No.
17/643,682
Filed
Dec 10, 2021
Granted
May 28, 2024
Kind
B2
Art Unit
2877
USPC
382/149
Abstract

According to an embodiment, a defect inspection method is performed with a defect inspection apparatus. The defect inspection apparatus is adapted to irradiate a first sample with illumination light to acquire a first sample image, and compare the first sample image to a reference image to inspect a defect. The defect inspection method includes generating the reference image, acquiring the first sample image, setting a defect detection condition using an index based on a result of defect inspection of a second sample different from the first sample, and discriminating a nuisance from a result of comparison between the reference image and the first sample image based on the defect detection condition.

Claims (18)

1. A defect inspection method performed with a defect inspection apparatus, the defect inspection apparatus adapted to irradiate a first sample with illumination light to acquire a first sample optical image, and compare the first sample optical image to a reference image to inspect a defect of a mask used in a semiconductor manufacturing process, the defect inspection method comprising:

generating the reference image based on data of the mask;

acquiring the first sample optical image;

setting a defect detection condition using an index based on a result of defect inspection of a second sample different from the first sample; and

discriminating a nuisance from a result of comparison between the reference image and the first sample optical image based on the defect detection condition.

2. The defect inspection method according to claim 1 , wherein the reference image is generated based on design data of the mask used for the first sample.

3. The defect inspection method according to claim 1 , wherein the reference image is generated for a region different from a region for which the first sample optical image is acquired but having a same pattern of the mask used for the first sample.

4. The defect inspection method according to claim 1 , wherein the index is prepared based on the result of the defect inspection of the second sample and a prediction of yields which is based on design data for the first sample.

5. The defect inspection method according to claim 4 , wherein the result of the defect inspection of the second sample comprises sensitivity information indicative of detection sensitivity for the nuisance.

6. The defect inspection method according to claim 1 , wherein the defect inspection of the second sample uses a defect detection condition set based on design data for the first sample.

7. The defect inspection method according to claim 1 , wherein the index is set based on the result of the defect inspection of the second sample and information on manufacturing capability for a product which is based on the second sample, wherein the information on the manufacturing capability for the product comprises information on defect inspection, a review result for the product, and yield information of the product.

8. The defect inspection method according to claim 1 , wherein the setting the defect detection condition comprises:

conducting defect detection of a third sample different from the first sample and the second sample; and

predicting yields based on a result of the defect inspection of the third sample.

9. The defect inspection method according to claim 1 , wherein the defect detection condition comprises multiple elements including defect categorization, defect grouping, defect detection sensitivity, and nuisance filtering.

10. The defect inspection method according to claim 9 , wherein the multiple elements are selected and/or excluded based on the index.

11. The defect inspection method according to claim 9 , wherein the defect detection sensitivity is set based on the index.

12. The defect inspection method according to claim 1 , further comprising setting an optical-system condition based on design data for the first sample.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 10, 2021
From: HIRANO, RYOICHI
To: NUFLARE TECHNOLOGY, INC.
Reel/Frame 058360/0947 →
Priority Claims (1)
JP 2021-000536 · Jan 5, 2021 · national
Continuity (1)
Related Publication 20220215524A1 · Jul 7, 2022