TWI805868B - 使用以深度學習為基礎之缺陷偵測及分類方案用於像素位準影像量化 - Google Patents

使用以深度學習為基礎之缺陷偵測及分類方案用於像素位準影像量化 Download PDF

Info

Publication number
TWI805868B
TWI805868B TW108141684A TW108141684A TWI805868B TW I805868 B TWI805868 B TW I805868B TW 108141684 A TW108141684 A TW 108141684A TW 108141684 A TW108141684 A TW 108141684A TW I805868 B TWI805868 B TW I805868B
Authority
TW
Taiwan
Prior art keywords
image
processor
defects
pixels
wafer
Prior art date
Application number
TW108141684A
Other languages
English (en)
Chinese (zh)
Other versions
TW202033954A (zh
Inventor
哈利 帕薩吉
席娃布拉撒什 米那什桑多藍
塔納伊 班薩爾
Original Assignee
美商科磊股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 美商科磊股份有限公司 filed Critical 美商科磊股份有限公司
Publication of TW202033954A publication Critical patent/TW202033954A/zh
Application granted granted Critical
Publication of TWI805868B publication Critical patent/TWI805868B/zh

Links

Images

Classifications

    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01JELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J37/00Discharge tubes with provision for introducing objects or material to be exposed to the discharge, e.g. for the purpose of examination or processing thereof
    • H01J37/02Details
    • H01J37/22Optical, image processing or photographic arrangements associated with the tube
    • H01J37/222Image processing arrangements associated with the tube
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/9501Semiconductor wafers
    • G01N21/9505Wafer internal defects, e.g. microcracks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01JELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J37/00Discharge tubes with provision for introducing objects or material to be exposed to the discharge, e.g. for the purpose of examination or processing thereof
    • H01J37/26Electron or ion microscopes; Electron or ion diffraction tubes
    • H01J37/28Electron or ion microscopes; Electron or ion diffraction tubes with scanning beams
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10056Microscopic image
    • G06T2207/10061Microscopic image from scanning electron microscope
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30148Semiconductor; IC; Wafer
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01JELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J2237/00Discharge tubes exposing object to beam, e.g. for analysis treatment, etching, imaging
    • H01J2237/22Treatment of data
    • H01J2237/221Image processing
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01JELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J2237/00Discharge tubes exposing object to beam, e.g. for analysis treatment, etching, imaging
    • H01J2237/244Detection characterized by the detecting means
    • H01J2237/2448Secondary particle detectors
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01JELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J2237/00Discharge tubes exposing object to beam, e.g. for analysis treatment, etching, imaging
    • H01J2237/26Electron or ion microscopes
    • H01J2237/28Scanning microscopes
    • H01J2237/2803Scanning microscopes characterised by the imaging method
    • H01J2237/2806Secondary charged particle
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01JELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J2237/00Discharge tubes exposing object to beam, e.g. for analysis treatment, etching, imaging
    • H01J2237/26Electron or ion microscopes
    • H01J2237/28Scanning microscopes
    • H01J2237/2809Scanning microscopes characterised by the imaging problems involved
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01JELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J2237/00Discharge tubes exposing object to beam, e.g. for analysis treatment, etching, imaging
    • H01J2237/26Electron or ion microscopes
    • H01J2237/28Scanning microscopes
    • H01J2237/2813Scanning microscopes characterised by the application
    • H01J2237/2817Pattern inspection

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Quality & Reliability (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Pathology (AREA)
  • Immunology (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Testing Or Measuring Of Semiconductors Or The Like (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
  • Transforming Light Signals Into Electric Signals (AREA)
TW108141684A 2018-11-15 2019-11-15 使用以深度學習為基礎之缺陷偵測及分類方案用於像素位準影像量化 TWI805868B (zh)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
IN201841042919 2018-11-15
IN201841042919 2018-11-15
US16/249,337 US10672588B1 (en) 2018-11-15 2019-01-16 Using deep learning based defect detection and classification schemes for pixel level image quantification
US16/249,337 2019-01-16

Publications (2)

Publication Number Publication Date
TW202033954A TW202033954A (zh) 2020-09-16
TWI805868B true TWI805868B (zh) 2023-06-21

Family

ID=70727871

Family Applications (1)

Application Number Title Priority Date Filing Date
TW108141684A TWI805868B (zh) 2018-11-15 2019-11-15 使用以深度學習為基礎之缺陷偵測及分類方案用於像素位準影像量化

Country Status (7)

Country Link
US (1) US10672588B1 (enExample)
EP (1) EP3870959A4 (enExample)
JP (1) JP7216822B2 (enExample)
KR (1) KR102513717B1 (enExample)
CN (1) CN112969911B (enExample)
TW (1) TWI805868B (enExample)
WO (1) WO2020102611A1 (enExample)

Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10546160B2 (en) 2018-01-05 2020-01-28 Datamax-O'neil Corporation Methods, apparatuses, and systems for providing print quality feedback and controlling print quality of machine-readable indicia
US10803264B2 (en) 2018-01-05 2020-10-13 Datamax-O'neil Corporation Method, apparatus, and system for characterizing an optical system
US10834283B2 (en) 2018-01-05 2020-11-10 Datamax-O'neil Corporation Methods, apparatuses, and systems for detecting printing defects and contaminated components of a printer
US10795618B2 (en) 2018-01-05 2020-10-06 Datamax-O'neil Corporation Methods, apparatuses, and systems for verifying printed image and improving print quality
US11501424B2 (en) * 2019-11-18 2022-11-15 Stmicroelectronics (Rousset) Sas Neural network training device, system and method
US11200659B2 (en) 2019-11-18 2021-12-14 Stmicroelectronics (Rousset) Sas Neural network training device, system and method
US11449711B2 (en) * 2020-01-02 2022-09-20 Applied Materials Isreal Ltd. Machine learning-based defect detection of a specimen
US11651981B2 (en) * 2020-08-18 2023-05-16 Taiwan Semiconductor Manufacturing Co., Ltd. Method and system for map-free inspection of semiconductor devices
US20220101114A1 (en) * 2020-09-27 2022-03-31 Kla Corporation Interpretable deep learning-based defect detection and classification
KR20220127004A (ko) 2021-03-10 2022-09-19 삼성전자주식회사 확률론적 콘투어 예측 시스템 및 확률론적 콘투어 예측 시스템의 제공 방법 및 확률론적 콘투어 예측 시스템을 이용한 EUV(Extreme Ultra violet) 마스크의 제공 방법
WO2022207181A1 (en) * 2021-03-30 2022-10-06 Asml Netherlands B.V. Improved charged particle image inspection
CN112884769B (zh) * 2021-04-12 2021-09-28 深圳中科飞测科技股份有限公司 图像处理方法、装置、光学系统和计算机可读存储介质
US20220335288A1 (en) * 2021-04-16 2022-10-20 Micron Technology, Inc. Systems, apparatuses and methods for detecting and classifying patterns of heatmaps
FR3125156B1 (fr) * 2021-07-12 2023-11-10 Safran Controle non destructif d’une piece
JP7034529B1 (ja) * 2021-08-13 2022-03-14 株式会社ハシマ 学習モデルの生成方法、学習モデル、検査装置、検査方法およびコンピュータプログラム
KR20230029409A (ko) * 2021-08-24 2023-03-03 삼성전자주식회사 반도체 장치의 제조를 위한 방법, 전자 장치 및 전자 장치의 동작 방법
EP4148499A1 (en) * 2021-09-09 2023-03-15 ASML Netherlands B.V. Patterning device defect detection systems and methods
CN113935982B (zh) * 2021-10-27 2024-06-14 征图新视(江苏)科技股份有限公司 基于深度学习的印刷质量检测分析系统
CN115222658B (zh) * 2022-06-01 2025-12-02 湖南长步道光学科技有限公司 一种多工位并行镜片缺陷检测方法和装置
CN115965574B (zh) * 2022-08-31 2025-03-14 东方晶源微电子科技(北京)股份有限公司 基于设计版图的扫描电子显微镜图像缺陷检测方法、装置
US12136225B2 (en) * 2022-09-09 2024-11-05 Applied Materials, Inc. Clog detection via image analytics
US20240169514A1 (en) * 2022-11-21 2024-05-23 Onto Innovation Inc. Defect detection in manufactured articles using multi-channel images
TWI839046B (zh) * 2022-12-26 2024-04-11 華邦電子股份有限公司 膜層中的縫隙的檢測方法
CN116993669B (zh) * 2023-06-29 2024-11-08 东方晶源微电子科技(上海)有限公司 扫描电镜图像缺陷的确定方法及装置
CN116840238A (zh) * 2023-07-04 2023-10-03 杭州中为光电技术有限公司 一种硅棒检测设备、检测方法及切割方法
US12561791B2 (en) * 2023-09-26 2026-02-24 Kla Corporation Method to calibrate, predict, and control stochastic defects in EUV lithography
KR102693776B1 (ko) 2023-11-14 2024-08-09 주식회사 파이비스 딥러닝 모델을 기반으로 오브젝트의 결함을 검출하기 위한 장치 및 방법
CN120411120B (zh) * 2025-07-07 2025-08-29 中科方寸知微(南京)科技有限公司 一种基于深度学习图像分割算法的输电图像缺陷检测及缺陷去重的方法及系统

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020130262A1 (en) * 2000-11-17 2002-09-19 Mamoru Nakasuji Method for inspecting substrate, substrate inspecting system and electron beam apparatus
US20030023404A1 (en) * 2000-11-22 2003-01-30 Osama Moselhi Method and apparatus for the automated detection and classification of defects in sewer pipes
US20180060702A1 (en) * 2016-08-23 2018-03-01 Dongfang Jingyuan Electron Limited Learning Based Defect Classification
TW201816670A (zh) * 2016-10-14 2018-05-01 美商克萊譚克公司 用於經組態用於半導體應用之深度學習模型之診斷系統及方法
US20180293721A1 (en) * 2017-04-07 2018-10-11 Kla-Tencor Corporation Contour based defect detection

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6292582B1 (en) 1996-05-31 2001-09-18 Lin Youling Method and system for identifying defects in a semiconductor
US6067376A (en) 1998-01-16 2000-05-23 Cognex Corporation Classifying pixels of an image
JP3749090B2 (ja) * 2000-07-06 2006-02-22 大日本スクリーン製造株式会社 パターン検査装置
US7162071B2 (en) 2002-12-20 2007-01-09 Taiwan Semiconductor Manufacturing Co., Ltd. Progressive self-learning defect review and classification method
TWI370501B (en) 2003-11-10 2012-08-11 Hermes Microvision Inc Method and system for monitoring ic process
JP2006098152A (ja) 2004-09-29 2006-04-13 Dainippon Screen Mfg Co Ltd 欠陥検出装置および欠陥検出方法
JP2012217139A (ja) * 2011-03-30 2012-11-08 Sony Corp 画像理装置および方法、並びにプログラム
JP5707291B2 (ja) * 2011-09-29 2015-04-30 株式会社日立ハイテクノロジーズ 画像分類支援を行う荷電粒子線装置
US10186026B2 (en) * 2015-11-17 2019-01-22 Kla-Tencor Corp. Single image detection
TWI797699B (zh) 2015-12-22 2023-04-01 以色列商應用材料以色列公司 半導體試樣的基於深度學習之檢查的方法及其系統
US10181185B2 (en) 2016-01-11 2019-01-15 Kla-Tencor Corp. Image based specimen process control
US10031997B1 (en) * 2016-11-29 2018-07-24 Taiwan Semiconductor Manufacturing Co., Ltd. Forecasting wafer defects using frequency domain analysis

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020130262A1 (en) * 2000-11-17 2002-09-19 Mamoru Nakasuji Method for inspecting substrate, substrate inspecting system and electron beam apparatus
US20030023404A1 (en) * 2000-11-22 2003-01-30 Osama Moselhi Method and apparatus for the automated detection and classification of defects in sewer pipes
US20180060702A1 (en) * 2016-08-23 2018-03-01 Dongfang Jingyuan Electron Limited Learning Based Defect Classification
TW201816670A (zh) * 2016-10-14 2018-05-01 美商克萊譚克公司 用於經組態用於半導體應用之深度學習模型之診斷系統及方法
US20180293721A1 (en) * 2017-04-07 2018-10-11 Kla-Tencor Corporation Contour based defect detection

Also Published As

Publication number Publication date
KR20210080567A (ko) 2021-06-30
CN112969911A (zh) 2021-06-15
JP7216822B2 (ja) 2023-02-01
EP3870959A4 (en) 2022-07-27
EP3870959A1 (en) 2021-09-01
TW202033954A (zh) 2020-09-16
JP2022507543A (ja) 2022-01-18
WO2020102611A1 (en) 2020-05-22
US10672588B1 (en) 2020-06-02
CN112969911B (zh) 2022-09-06
US20200161081A1 (en) 2020-05-21
KR102513717B1 (ko) 2023-03-23

Similar Documents

Publication Publication Date Title
TWI805868B (zh) 使用以深度學習為基礎之缺陷偵測及分類方案用於像素位準影像量化
TWI803595B (zh) 晶圓檢測之系統及方法,以及相關之非暫時性電腦可讀儲存媒體
TWI769371B (zh) 用於半導體裝置之檢測方法及系統,以及其非暫時性電腦可讀媒體
KR102905111B1 (ko) 머신 러닝을 사용한 웨이퍼 검사용 예측 이미지 생성 시스템 및 방법
US11756187B2 (en) Systems and methods of optimal metrology guidance
JP5695924B2 (ja) 欠陥推定装置および欠陥推定方法並びに検査装置および検査方法
JP6391170B2 (ja) 検査装置
TWI907462B (zh) 用於半導體缺陷檢視之方法及系統以及相關之非暫時電腦可讀儲存媒體
US12561791B2 (en) Method to calibrate, predict, and control stochastic defects in EUV lithography
CN112292753B (zh) 用于更好的设计对准的目标选择改进
US20230326710A1 (en) Screening edge placement uniformity wafer stochastics
JP7598872B2 (ja) Z高さの絶対値を利用したツール間の相乗効果
US20260044948A1 (en) Evaluation of linearity in critical dimension measurements
CN116648722A (zh) 基于半导体处理的晶片级分析和根本原因分析的数据驱动失败模式预测和标识