SG11201903715XA - High sensitivity repeater defect detection - Google Patents
High sensitivity repeater defect detectionInfo
- Publication number
- SG11201903715XA SG11201903715XA SG11201903715XA SG11201903715XA SG11201903715XA SG 11201903715X A SG11201903715X A SG 11201903715XA SG 11201903715X A SG11201903715X A SG 11201903715XA SG 11201903715X A SG11201903715X A SG 11201903715XA SG 11201903715X A SG11201903715X A SG 11201903715XA
- Authority
- SG
- Singapore
- Prior art keywords
- california
- international
- image processing
- processing components
- defect detection
- Prior art date
Links
- 230000007547 defect Effects 0.000 title abstract 9
- 238000001514 detection method Methods 0.000 title abstract 5
- 230000035945 sensitivity Effects 0.000 title abstract 2
- 239000003795 chemical substances by application Substances 0.000 abstract 2
- 238000005516 engineering process Methods 0.000 abstract 2
- 235000006550 Liquidambar Nutrition 0.000 abstract 1
- 241000208682 Liquidambar Species 0.000 abstract 1
- 238000007689 inspection Methods 0.000 abstract 1
- 238000000034 method Methods 0.000 abstract 1
- 230000008520 organization Effects 0.000 abstract 1
- 239000002023 wood Substances 0.000 abstract 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/9501—Semiconductor wafers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0006—Industrial image inspection using a design-rule based approach
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
- G01N2021/95676—Masks, reticles, shadow masks
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10056—Microscopic image
- G06T2207/10061—Microscopic image from scanning electron microscope
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10141—Special mode during image acquisition
- G06T2207/10152—Varying illumination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20076—Probabilistic image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30148—Semiconductor; IC; Wafer
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Theoretical Computer Science (AREA)
- Biochemistry (AREA)
- Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Signal Processing (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Automation & Control Theory (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Testing Or Measuring Of Semiconductors Or The Like (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Applications Claiming Priority (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201662420409P | 2016-11-10 | 2016-11-10 | |
US201762443810P | 2017-01-09 | 2017-01-09 | |
US201762455948P | 2017-02-07 | 2017-02-07 | |
US15/804,980 US10395358B2 (en) | 2016-11-10 | 2017-11-06 | High sensitivity repeater defect detection |
PCT/US2017/060589 WO2018089459A1 (en) | 2016-11-10 | 2017-11-08 | High sensitivity repeater defect detection |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201903715XA true SG11201903715XA (en) | 2019-05-30 |
Family
ID=62064714
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201903715XA SG11201903715XA (en) | 2016-11-10 | 2017-11-08 | High sensitivity repeater defect detection |
Country Status (7)
Country | Link |
---|---|
US (1) | US10395358B2 (zh) |
KR (1) | KR102295269B1 (zh) |
CN (1) | CN109964115B (zh) |
IL (1) | IL265905B (zh) |
SG (1) | SG11201903715XA (zh) |
TW (1) | TWI726169B (zh) |
WO (1) | WO2018089459A1 (zh) |
Families Citing this family (25)
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JP6549644B2 (ja) * | 2017-06-27 | 2019-07-24 | ファナック株式会社 | 機械学習装置、ロボット制御システム及び機械学習方法 |
US10748271B2 (en) | 2018-04-25 | 2020-08-18 | Applied Materials Israel Ltd. | Method of defect classification and system thereof |
JP6675433B2 (ja) * | 2018-04-25 | 2020-04-01 | 信越化学工業株式会社 | 欠陥分類方法、フォトマスクブランクの選別方法、およびマスクブランクの製造方法 |
DE102018207880A1 (de) * | 2018-05-18 | 2019-11-21 | Carl Zeiss Smt Gmbh | Verfahren und Vorrichtung zum Bewerten einer unbekannten Auswirkung von Defekten eines Elements eines Photolithographieprozesses |
US11151711B2 (en) * | 2018-06-06 | 2021-10-19 | Kla-Tencor Corporation | Cross layer common-unique analysis for nuisance filtering |
WO2020083612A1 (en) * | 2018-10-23 | 2020-04-30 | Asml Netherlands B.V. | Method and apparatus for adaptive alignment |
JP2022043365A (ja) | 2018-11-19 | 2022-03-16 | 株式会社日立ハイテク | 検査装置、検査方法、欠陥検出プログラム |
US11138722B2 (en) * | 2018-12-21 | 2021-10-05 | Kla-Tencor Corporation | Differential imaging for single-path optical wafer inspection |
US10957034B2 (en) * | 2019-01-17 | 2021-03-23 | Applied Materials Israel Ltd. | Method of examination of a specimen and system thereof |
US11276161B2 (en) * | 2019-02-26 | 2022-03-15 | KLA Corp. | Reference image generation for semiconductor applications |
US11120546B2 (en) | 2019-09-24 | 2021-09-14 | Kla Corporation | Unsupervised learning-based reference selection for enhanced defect inspection sensitivity |
US11551344B2 (en) * | 2019-12-09 | 2023-01-10 | University Of Central Florida Research Foundation, Inc. | Methods of artificial intelligence-assisted infrastructure assessment using mixed reality systems |
KR20210094314A (ko) | 2020-01-21 | 2021-07-29 | 삼성전자주식회사 | 반도체 장치의 제조 방법 |
US11328411B2 (en) * | 2020-05-04 | 2022-05-10 | KLA Corp. | Print check repeater defect detection |
US11150200B1 (en) | 2020-06-15 | 2021-10-19 | Mitutoyo Corporation | Workpiece inspection and defect detection system indicating number of defect images for training |
US11430105B2 (en) | 2020-06-15 | 2022-08-30 | Mitutoyo Corporation | Workpiece inspection and defect detection system including monitoring of workpiece images |
US11410417B2 (en) * | 2020-08-17 | 2022-08-09 | Google Llc | Modular system for automatic hard disk processing and verification |
US11810284B2 (en) | 2020-08-21 | 2023-11-07 | Kla Corporation | Unsupervised learning for repeater-defect detection |
JP2022103692A (ja) * | 2020-12-28 | 2022-07-08 | 京セラドキュメントソリューションズ株式会社 | 画像処理装置、画像処理方法、および画像処理プログラム |
US11614480B2 (en) * | 2021-06-08 | 2023-03-28 | Kla Corporation | System and method for Z-PAT defect-guided statistical outlier detection of semiconductor reliability failures |
EP4148499A1 (en) * | 2021-09-09 | 2023-03-15 | ASML Netherlands B.V. | Patterning device defect detection systems and methods |
US11756186B2 (en) | 2021-09-15 | 2023-09-12 | Mitutoyo Corporation | Workpiece inspection and defect detection system utilizing color channels |
TWI832180B (zh) * | 2022-03-23 | 2024-02-11 | 鴻海精密工業股份有限公司 | 瑕疵檢測方法及系統 |
US11922619B2 (en) | 2022-03-31 | 2024-03-05 | Kla Corporation | Context-based defect inspection |
US20230314336A1 (en) | 2022-03-31 | 2023-10-05 | Kla Corporation | Multi-mode optical inspection |
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JP4351522B2 (ja) | 2003-11-28 | 2009-10-28 | 株式会社日立ハイテクノロジーズ | パターン欠陥検査装置およびパターン欠陥検査方法 |
JP4904034B2 (ja) | 2004-09-14 | 2012-03-28 | ケーエルエー−テンカー コーポレイション | レチクル・レイアウト・データを評価するための方法、システム及び搬送媒体 |
US8041103B2 (en) | 2005-11-18 | 2011-10-18 | Kla-Tencor Technologies Corp. | Methods and systems for determining a position of inspection data in design data space |
US7676077B2 (en) * | 2005-11-18 | 2010-03-09 | Kla-Tencor Technologies Corp. | Methods and systems for utilizing design data in combination with inspection data |
EP1955225A4 (en) * | 2005-11-18 | 2009-11-04 | Kla Tencor Tech Corp | METHOD AND SYSTEMS FOR USE OF DESIGN DATA IN COMBINATION WITH TEST DATA |
US7369236B1 (en) | 2006-10-31 | 2008-05-06 | Negevtech, Ltd. | Defect detection through image comparison using relative measures |
US8698093B1 (en) | 2007-01-19 | 2014-04-15 | Kla-Tencor Corporation | Objective lens with deflector plates immersed in electrostatic lens field |
US8126255B2 (en) | 2007-09-20 | 2012-02-28 | Kla-Tencor Corp. | Systems and methods for creating persistent data for a wafer and for using persistent data for inspection-related functions |
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JP5619776B2 (ja) * | 2009-02-06 | 2014-11-05 | ケーエルエー−テンカー コーポレイション | ウエハの検査のための1つまたは複数のパラメータの選択方法 |
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US8664594B1 (en) | 2011-04-18 | 2014-03-04 | Kla-Tencor Corporation | Electron-optical system for high-speed and high-sensitivity inspections |
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JP5771561B2 (ja) | 2012-05-30 | 2015-09-02 | 株式会社日立ハイテクノロジーズ | 欠陥検査方法および欠陥検査装置 |
US8716662B1 (en) | 2012-07-16 | 2014-05-06 | Kla-Tencor Corporation | Methods and apparatus to review defects using scanning electron microscope with multiple electron beam configurations |
JP6025489B2 (ja) * | 2012-10-11 | 2016-11-16 | 株式会社ニューフレアテクノロジー | 検査装置および検査装置システム |
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US9053527B2 (en) * | 2013-01-02 | 2015-06-09 | Kla-Tencor Corp. | Detecting defects on a wafer |
US9134254B2 (en) * | 2013-01-07 | 2015-09-15 | Kla-Tencor Corp. | Determining a position of inspection system output in design data space |
JP5948262B2 (ja) * | 2013-01-30 | 2016-07-06 | 株式会社日立ハイテクノロジーズ | 欠陥観察方法および欠陥観察装置 |
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US9509112B2 (en) * | 2013-06-11 | 2016-11-29 | Kla-Tencor Corporation | CW DUV laser with improved stability |
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US9518935B2 (en) * | 2013-07-29 | 2016-12-13 | Kla-Tencor Corporation | Monitoring changes in photomask defectivity |
CN104465433B (zh) * | 2013-09-23 | 2017-05-17 | 中芯国际集成电路制造(上海)有限公司 | 重复性缺陷的分析方法 |
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CN104022050A (zh) * | 2014-04-22 | 2014-09-03 | 上海华力微电子有限公司 | 一种晶圆批次中重复位置缺陷的检测方法 |
US9262821B2 (en) * | 2014-05-12 | 2016-02-16 | Kla-Tencor Corp. | Inspection recipe setup from reference image variation |
CN104103541B (zh) * | 2014-08-01 | 2019-07-09 | 上海华力微电子有限公司 | 一种对缺陷进行选择性检测的方法 |
US9766186B2 (en) * | 2014-08-27 | 2017-09-19 | Kla-Tencor Corp. | Array mode repeater detection |
US9766187B2 (en) | 2014-08-27 | 2017-09-19 | Kla-Tencor Corp. | Repeater detection |
US9830421B2 (en) | 2014-12-31 | 2017-11-28 | Kla-Tencor Corp. | Alignment of inspection to design using built in targets |
US10140698B2 (en) * | 2015-08-10 | 2018-11-27 | Kla-Tencor Corporation | Polygon-based geometry classification for semiconductor mask inspection |
US9735069B2 (en) * | 2015-09-23 | 2017-08-15 | Lam Research Corporation | Method and apparatus for determining process rate |
US9965901B2 (en) | 2015-11-19 | 2018-05-08 | KLA—Tencor Corp. | Generating simulated images from design information |
US11094502B2 (en) * | 2015-12-24 | 2021-08-17 | Asml Netherlands B.V. | Method and apparatus for inspection |
US9916965B2 (en) | 2015-12-31 | 2018-03-13 | Kla-Tencor Corp. | Hybrid inspectors |
US10648924B2 (en) | 2016-01-04 | 2020-05-12 | Kla-Tencor Corp. | Generating high resolution images from low resolution images for semiconductor applications |
US10360477B2 (en) | 2016-01-11 | 2019-07-23 | Kla-Tencor Corp. | Accelerating semiconductor-related computations using learning based models |
US10043261B2 (en) | 2016-01-11 | 2018-08-07 | Kla-Tencor Corp. | Generating simulated output for a specimen |
-
2017
- 2017-11-06 US US15/804,980 patent/US10395358B2/en active Active
- 2017-11-08 CN CN201780068950.XA patent/CN109964115B/zh active Active
- 2017-11-08 SG SG11201903715XA patent/SG11201903715XA/en unknown
- 2017-11-08 WO PCT/US2017/060589 patent/WO2018089459A1/en active Application Filing
- 2017-11-08 KR KR1020197016303A patent/KR102295269B1/ko active IP Right Grant
- 2017-11-10 TW TW106138913A patent/TWI726169B/zh active
-
2019
- 2019-04-08 IL IL265905A patent/IL265905B/en active IP Right Grant
Also Published As
Publication number | Publication date |
---|---|
CN109964115A (zh) | 2019-07-02 |
IL265905B (en) | 2021-02-28 |
CN109964115B (zh) | 2021-04-13 |
WO2018089459A1 (en) | 2018-05-17 |
KR20190069597A (ko) | 2019-06-19 |
TWI726169B (zh) | 2021-05-01 |
KR102295269B1 (ko) | 2021-08-27 |
TW201830134A (zh) | 2018-08-16 |
US20180130199A1 (en) | 2018-05-10 |
US10395358B2 (en) | 2019-08-27 |
IL265905A (en) | 2019-06-30 |
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