SG11201901040WA - Automated 3-d measurement - Google Patents

Automated 3-d measurement

Info

Publication number
SG11201901040WA
SG11201901040WA SG11201901040WA SG11201901040WA SG11201901040WA SG 11201901040W A SG11201901040W A SG 11201901040WA SG 11201901040W A SG11201901040W A SG 11201901040WA SG 11201901040W A SG11201901040W A SG 11201901040WA SG 11201901040W A SG11201901040W A SG 11201901040WA
Authority
SG
Singapore
Prior art keywords
captured image
international
characteristic
sample
determining
Prior art date
Application number
SG11201901040WA
Inventor
James Jianguo Xu
Ronny Soetarman
Original Assignee
Kla Tencor Corp
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 Kla Tencor Corp filed Critical Kla Tencor Corp
Publication of SG11201901040WA publication Critical patent/SG11201901040WA/en

Links

Classifications

    • GPHYSICS
    • G02OPTICS
    • G02BOPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B21/00Microscopes
    • G02B21/0004Microscopes specially adapted for specific applications
    • G02B21/002Scanning microscopes
    • G02B21/0024Confocal scanning microscopes (CSOMs) or confocal "macroscopes"; Accessories which are not restricted to use with CSOMs, e.g. sample holders
    • G02B21/0028Confocal scanning microscopes (CSOMs) or confocal "macroscopes"; Accessories which are not restricted to use with CSOMs, e.g. sample holders specially adapted for specific applications, e.g. for endoscopes, ophthalmoscopes, attachments to conventional microscopes
    • 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
    • GPHYSICS
    • G02OPTICS
    • G02BOPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B21/00Microscopes
    • G02B21/0004Microscopes specially adapted for specific applications
    • G02B21/0016Technical microscopes, e.g. for inspection or measuring in industrial production processes
    • GPHYSICS
    • G02OPTICS
    • G02BOPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B21/00Microscopes
    • G02B21/0004Microscopes specially adapted for specific applications
    • G02B21/002Scanning microscopes
    • G02B21/0024Confocal scanning microscopes (CSOMs) or confocal "macroscopes"; Accessories which are not restricted to use with CSOMs, e.g. sample holders
    • G02B21/0052Optical details of the image generation
    • G02B21/006Optical details of the image generation focusing arrangements; selection of the plane to be imaged
    • GPHYSICS
    • G02OPTICS
    • G02BOPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B21/00Microscopes
    • G02B21/0004Microscopes specially adapted for specific applications
    • G02B21/002Scanning microscopes
    • G02B21/0024Confocal scanning microscopes (CSOMs) or confocal "macroscopes"; Accessories which are not restricted to use with CSOMs, e.g. sample holders
    • G02B21/008Details of detection or image processing, including general computer control
    • GPHYSICS
    • G02OPTICS
    • G02BOPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B21/00Microscopes
    • G02B21/36Microscopes arranged for photographic purposes or projection purposes or digital imaging or video purposes including associated control and data processing arrangements
    • G02B21/365Control or image processing arrangements for digital or video microscopes
    • G02B21/367Control or image processing arrangements for digital or video microscopes providing an output produced by processing a plurality of individual source images, e.g. image tiling, montage, composite images, depth sectioning, image comparison
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • G06T7/55Depth or shape recovery from multiple images
    • G06T7/571Depth or shape recovery from multiple images from focus
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10056Microscopic image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10141Special mode during image acquisition
    • G06T2207/10148Varying focus
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Optics & Photonics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Surgery (AREA)
  • Ophthalmology & Optometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Microscoopes, Condenser (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Control Or Security For Electrophotography (AREA)

Abstract

INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property :::` , MD HIM 0 11101 010 11111 01 II 0 0111E011 OHM 100 110 11110 ill 011 Organization International Bureau (10) International Publication Number 03 (43) International Publication Date .....•\"\"- WO 2018/031560 Al 15 February 2018 (15.02.2018) WIP0 I PCT (51) International Patent Classification: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, G02B 21/00 (2006.01) G01N 21/95 (2006.01) CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, G02B 21/36 (2006.01) G06T 7/00 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, (21) International Application Number: HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, PCT/US2017/045929 KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, (22) International Filing Date: OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, 08 August 2017 (08.08.2017) SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (26) Publication Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (30) Priority Data: GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, 15/233,812 10 August 2016 (10.08.2016) US UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, (71) Applicant: KLA-TENCOR CORPORATION [US/US]; EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, Legal Department, One Technology Drive, Milpitas, Cali- MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, fornia 95035 (US). TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, (72) Inventors: XU, James Jianguo; 1029 Olmo Court, San KM, ML, MR, NE, SN, TD, TG). Jose, California 95129 (US). SOETARMAN, Ronny; _ 48353 Avalon Heights Terrace, Fremont, California 94539 Published: (US). — with international search report (Art. 2 I (3)) = (74) Agent: MCANDREWS, Kevin et al.; KLA-TENCOR = CORPORATION, Legal Department, One Technology Dri- ve, Milpitas, California 95035 (US). = (81) Designated States (unless otherwise indicated, for every = = kind of national protection available): AE, AG, AL, AM, (54) Title: AUTOMATED = - = = — _ = — _ E = = = ON = 111111111111111111 ' .: ) _ ill 11 .4 . ©' - 1 1 in ,—, M © co SEMI-AUTOMATED Il © ei 1 27 .47- -DrE METROLOGY ZETA WAFER / OFF 3111111111111 1.111 5 COMPUTER 4 3-D METROLOGY FIG. = further SEMI-AUTOMATED 3-D // 1 iNSTRUNIENTS SYSTEM \"/ MEASUREMENT 3-D SYSTEM (57) : A method of generating 3D information of a sample using an op- tical microscope includes: varying the distance between the sample and an objec- tive lens of the optical microscope at predetermined steps, capturing an image at each predetermined step. In one example, the method further includes: determin- ing a characteristic of each pixel in each captured image; determining, for each captured image, the greatest characteristic across all pixels in the captured image; and comparing the greatest characteristic for each captured image to determine if a surface of the sample is present at each step. In another example, the method includes: determining a characteristic of each pixel in each captured image; determining, for each captured image, a count of pixels that have a characteristic value within a first range; and determining if a surface of the sample is present at each step based on the count of pixels for each captured image. C
SG11201901040WA 2016-08-10 2017-08-08 Automated 3-d measurement SG11201901040WA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/233,812 US20180045937A1 (en) 2016-08-10 2016-08-10 Automated 3-d measurement
PCT/US2017/045929 WO2018031560A1 (en) 2016-08-10 2017-08-08 Automated 3-d measurement

Publications (1)

Publication Number Publication Date
SG11201901040WA true SG11201901040WA (en) 2019-03-28

Family

ID=61158795

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201901040WA SG11201901040WA (en) 2016-08-10 2017-08-08 Automated 3-d measurement

Country Status (6)

Country Link
US (1) US20180045937A1 (en)
KR (2) KR20210148424A (en)
CN (1) CN109716197A (en)
SG (1) SG11201901040WA (en)
TW (1) TWI751184B (en)
WO (1) WO2018031560A1 (en)

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WO2020060501A1 (en) * 2018-09-17 2020-03-26 Koc Universitesi A method and apparatus for detecting nanoparticles and biological molecules

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Also Published As

Publication number Publication date
KR20190029763A (en) 2019-03-20
TWI751184B (en) 2022-01-01
CN109716197A (en) 2019-05-03
TW201809592A (en) 2018-03-16
US20180045937A1 (en) 2018-02-15
KR20210148424A (en) 2021-12-07
WO2018031560A1 (en) 2018-02-15

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