WO2014112290A1 - 検査装置 - Google Patents
検査装置 Download PDFInfo
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- WO2014112290A1 WO2014112290A1 PCT/JP2013/084131 JP2013084131W WO2014112290A1 WO 2014112290 A1 WO2014112290 A1 WO 2014112290A1 JP 2013084131 W JP2013084131 W JP 2013084131W WO 2014112290 A1 WO2014112290 A1 WO 2014112290A1
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- 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
- 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
- G01N21/95607—Inspecting patterns on the surface of objects using a comparative method
-
- H—ELECTRICITY
- H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
- H10P—GENERIC PROCESSES OR APPARATUS FOR THE MANUFACTURE OR TREATMENT OF DEVICES COVERED BY CLASS H10
- H10P74/00—Testing or measuring during manufacture or treatment of wafers, substrates or devices
- H10P74/20—Testing or measuring during manufacture or treatment of wafers, substrates or devices characterised by the properties tested or measured, e.g. structural or electrical properties
- H10P74/203—Structural properties, e.g. testing or measuring thicknesses, line widths, warpage, bond strengths or physical defects
Definitions
- the present invention relates to an inspection apparatus for detecting a flaw on a sample and a defect corresponding to a foreign object.
- Semiconductor elements are produced by applying various treatments to silicon wafers. In the course of the semiconductor manufacturing process, if the silicon wafer is scratched or foreign matter adheres to it, a malfunction of the semiconductor element occurs.
- a so-called inspection device is used for detecting a defect on a semiconductor wafer, and an apparatus for detecting a defect using light is sometimes called an optical inspection apparatus.
- Optical inspection apparatuses are roughly classified into surface inspection apparatuses that inspect bare wafers on which patterns are not formed and wafer inspection apparatuses with patterns that inspect wafers on which patterns are formed.
- Patent Document 1 In the wafer inspection apparatus with a pattern, as disclosed in Patent Document 1, there is a technique for detecting defects by comparing dies or cell parts, calculating a difference image, performing threshold determination, and detecting defects. Are known.
- a die is a silicon wafer chip onto which an integrated circuit is baked, and a cell portion is a region where a minimum repetitive pattern formed inside the die is formed.
- a circuit pattern called a peri part is formed around the cell part.
- This peri portion does not have the same pattern for each of the plurality of cell portions. For example, an A pattern is formed in the left region of a certain cell portion, a B pattern is formed in the right region, a B pattern is formed in the left region of another cell portion, and a C pattern is formed in the right region. Sometimes formed.
- An object of the present invention is to realize an inspection apparatus capable of accurately detecting a defect regardless of the difference between the peri portions formed around the cell portion.
- the present invention is configured as follows.
- the inspection object is formed from a plurality of cell portions formed so as to have the same circuit pattern, and a plurality of peri portions formed on both sides of each of the plurality of cell portions, and the circuit pattern is formed.
- a plurality of dies having integrated circuits are formed, a plurality of peri portions have a plurality of types of circuit patterns, and an arithmetic processing unit is provided on one of both sides of a plurality of cell portions formed on one die.
- Cell portions having the same arrangement order of the circuit pattern of the formed peri portion and the circuit pattern of the peri portion formed on the other of both sides are extracted, and the cell portions having the same arrangement order of the circuit pattern of the peri portion are mutually connected. Alignment is performed so as to overlap, a difference image is calculated, and a defect is detected by determining whether the calculated difference is equal to or less than a threshold value.
- FIG. 3 is an explanatory diagram of dies 201 to 2N1 arranged on a patterned wafer 200. It is a figure showing the section image of the cell part and the peri part of the both sides. It is explanatory drawing about the alignment of the cell parts in die
- FIG. 1 is an overall schematic configuration diagram of a defect inspection apparatus 1000 to which Embodiment 1 of the present invention is applied.
- an object 200 to be inspected which is a patterned wafer, is mounted on a stage (support base) 400 as a transfer system (transfer unit).
- the illumination system (illumination unit) 300 illuminates illumination light 301 on the inspection target 200 to form a linear illumination region 104.
- the light from the illumination area 104 is detected by an oblique detection system (orthogonal detection unit) 100, 101 and an upper detection system (upward detection unit) 800.
- the upper detection system 800 includes an objective lens 805 and an imaging lens 809.
- the oblique detection systems (orthogonal detection units) 100 and 101 also have an objective lens and an imaging lens.
- the oblique detection systems 100 and 101 and the upper detection system 800 include a spatial filter and a zoom lens arranged on the Fourier plane. Further, the oblique detection systems 100 and 101 and the upper detection system 800 have sensors 102, 103, and 802 such as a one-dimensional CCD line sensor and a two-dimensional TDI sensor, and a dark field image formed by these sensors. Detected. The dark field images detected by the sensors 102, 103, and 802 are transmitted as detection signals to the arithmetic processing system (arithmetic processing unit) 701, and defects are detected from the obtained dark field images.
- arithmetic processing system arithmetic processing unit
- the image obtained by the arithmetic processing system 702 is displayed by the display device 702.
- Reference numeral 205 is a reference chip
- 803 is a microscope.
- the control device 703 controls operations of the microscope 803, the stage 400, the display device 702, and the arithmetic processing system 701.
- FIG. 2 is an explanatory diagram of the dies 201 to 2N1 arranged on the patterned wafer 200 (N is a natural number).
- N is a natural number.
- the pattern arrangement in the die will be described by taking the die 201 as an example.
- the die 201 is formed with a plurality of cell portions 202 to 20n in which the same pattern is repeatedly produced. A peri portion is formed on both sides of the cell portion. These structures can be expressed as periodic structures (repeated structures) formed in the die.
- the peripheral circuit pattern of the cell portion is formed in the peri portion, but not all the same circuit pattern is formed, and as shown in FIG. 2, the patterns A, B, and C There are multiple types.
- peri parts A and B are formed on both sides of the cell part 202, and peri parts B and C are formed on both sides of the cell part 203.
- FIG. 3 shows a cross-sectional image (FIG. 3A) of the cell part 202 and the peri part on both sides thereof, and a cross-sectional image of the cell part 203 and the peri part on both sides thereof (FIG. 3B).
- FIG. 3A shows a cross-sectional image of the cell part 202 and the peri part on both sides thereof, and a cross-sectional image of the cell part 203 and the peri part on both sides thereof.
- FIG. 3A shows a cross-sectional image of the cell part 202 and the peri part on both sides thereof
- FIG. 3B shows a cross-sectional image of the cell part 203 and the peri part on both sides thereof
- Example 1 of the present invention in order to prevent false alarms from occurring in the cell part region near the peri part, the peri part on both sides aligns the same cell part, detects the difference, By determining the presence or absence, the occurrence of false information is prevented.
- the peripheral parts of the cell parts 202 and 206 are both AB, the cell parts 202 and 206 are aligned, a difference is detected, and the presence / absence of a defect is determined.
- the cell parts 203 and 207 are both BC (peripheral) peri parts, the cell parts 203 and 207 are aligned so that the cell parts 203 and 207 overlap each other, the difference is detected, and the presence or absence of a defect is determined.
- BC peripheral peripheral peri parts
- FIGS. 4 and 5 are explanatory diagrams for alignment of cell portions in the die 201.
- FIG. The examples shown in FIGS. 4 and 5 are examples in which the coordinates of the boundary between the dark part and the bright part in the dark field image are used.
- a dark field image of an area including a part of the peri parts 501 and 502 is obtained.
- the cell part 203 as indicated by a dotted line 213, a dark field image of an area including a part of the peri parts 502 and 503 is obtained.
- the cell unit 204 as shown by a dotted line 214, a dark field image of a region including a part of the peri units 503 and 504 is obtained, and for the cell unit 205, as shown by a dotted line 215, the peri unit 504 is obtained. , 505 is obtained.
- a dark field image of a region including a part of the peri portions 505 and 506 is obtained. Thereafter, a dark field image is obtained for each cell portion in the same manner.
- FIG. 5 is a diagram for explaining the alignment between the cell portions, taking the alignment between the cell portions 202 and 206 as an example.
- FIG. 5A shows a dark field image 3001 of the area indicated by the dotted line 212 in FIG. 4, and FIG. 5B shows a dark field image of the area indicated by the dotted line 216 in FIG. 3002 is shown.
- the arithmetic processing unit 701 coordinates the boundary points 301, 302, 303, and 304 of the dark field image 3001, the dark field image of the cell unit 202, the dark field image 305 of the peri unit 501, and the dark field image 306 of the peri unit 502. Is calculated.
- the arithmetic processing unit 701 has boundary points 308, 309, 310, 306 between the dark field image of the cell unit 206 and the dark field image 312 of the peri unit 505 and the dark field image 313 of the peri unit 506.
- the coordinates of 311 are calculated.
- the arithmetic processing unit 701 then coordinates the boundary point 301 and the boundary point 308, the boundary point 302 and the boundary point 309, the boundary point 303 and the boundary point 310, and the boundary point 304. At least one of the dark field images 3001 and 3002 so that the distance between the coordinates of at least one set (preferably all) of the coordinates and the coordinates of the boundary point 311 is within an acceptable range (preferably matched). Move one.
- the alignment of cell parts is used using another method. It is also possible to perform. For example, alignment can be performed using characteristic signal behavior that appears in common in different dark field images.
- the processing for calculating the difference between the images is performed after the above-described alignment of the cell portions.
- the first method is a method of calculating a difference in units of dies after performing the alignment of the cell portions described above.
- the second method is a method of calculating a difference between dark field images after alignment of the cell portion in the die.
- FIG. 6 is an internal functional block diagram relating to the defect determination process of the arithmetic processing unit 701.
- an arithmetic processing unit 701 includes an image processing unit 701a that forms an image of an inspection object, a cell extracting unit 701b, a cell moving unit 701c, a difference calculating unit 701d, and a defect determining unit 701e.
- the inspection apparatus includes an operation unit 704 such as a keyboard and a mouse, and an image processing method according to an instruction from the operation unit 704. Are instructed to the image processing unit 701a.
- FIG. 7 is an operation flowchart of defect inspection by the second method described above.
- the cell extraction unit 701b uses a single die, among a plurality of cell units. Cells having the same arrangement order of the patterns of the peri portions on both sides are extracted (for example, the cell portions 202 and 206 and the cell portions 203 and 207 shown in FIG. 2).
- step S2 the cell moving unit 701c moves and aligns the cell parts so that the cell parts having the same peri pattern arrangement order overlap each other.
- step S3 the difference calculation unit 701d calculates a difference between the cell portions aligned in one die.
- step S4 the defect determination unit 701e determines whether the calculated difference is equal to or less than the threshold value. If the difference exceeds the threshold value, the defect determination unit 701e determines that there is a defect (step S5). Is determined (step S6).
- the determination result of the presence / absence of a defect is transmitted from the defect determination unit 701e to the display device 702 and displayed on the display device 702.
- FIG. 8 is an operation flowchart of defect inspection by the first method described above.
- steps S1 and S2 are the same as those in the flowchart shown in FIG. 8.
- step S7 the cell moving unit 701c determines whether or not the cell unit is aligned with respect to the final die of the die to be inspected. If the cell is not the final die, the cell moving unit 701c determines the position of the cell unit in the next die. In order to perform alignment, the process returns to step S1.
- step S7 If it is determined in step S7 that the cell part has been aligned with respect to the final die, the process proceeds to step S8, where the difference calculation unit 701d performs alignment so that the dies overlap each other, and the difference is calculated in units of dies. calculate. Thereafter, the same processing as steps S4 to S5 shown in FIG. 7 is performed.
- cell portions having the same arrangement order of the peri portions on both sides are aligned in the same die, and the difference is calculated to determine the presence or absence of a defect. Therefore, an inspection apparatus capable of accurately detecting a defect can be realized regardless of the difference between the peri portions formed on both sides of the cell portion.
- the first embodiment of the present invention it is also possible to perform alignment between cell portions having the same arrangement order of peripheral peri portions and extract differences between a plurality of dies to determine the presence or absence of defects. Also in this case, it is possible to realize an inspection apparatus capable of accurately detecting a defect regardless of the difference between the peri portions formed on both sides of the cell portion.
- the plurality of dies formed on the patterned wafer are manufactured with the same specifications as each other and are one type of dies.
- the plurality of dies formed on the patterned wafer are not limited to one type, and there are cases where a plurality of types of dies are formed.
- different types of dies A (231, 232), B (233), C (234, 235), and D (236 to 239) are included in a part 401 of the patterned wafer. May be distributed.
- FIG. 10 is a detailed explanatory diagram of the dies A and B.
- the width WA of the cell part 5001 in the die A is different from the width WB of the cell part 5002 of the die B.
- the types of left and right peri parts (A3, A1) of the cell part 5001 and the types of left and right peri parts (B3, B2) of the cell part 5002 are also different.
- the shift width can be changed, alignment is performed, and the difference is calculated.
- the alignment method and difference calculation in this die are performed in the same manner as in the first embodiment.
- the change of the range of the area where the dark field image is obtained, the position of the boundary point used for alignment, and the allowable deviation width for alignment are performed by a command from the operation unit 701a shown in FIG.
- the command from the operation unit 701a can be set by the operator for each type of die.
- the second embodiment of the present invention even when different types of dies are distributed on a part of the patterned wafer, regardless of the difference in the peri portions formed around the cell portion, It is possible to realize an inspection apparatus capable of accurately detecting defects.
- a threshold value (statistical threshold value) using a standard deviation of pixels of a dark field image may be used in threshold value processing in determining whether or not a wafer is defective.
- a statistical threshold the greater the number of pixels used, the better.
- the presence or absence of a defect is determined using the statistical threshold in the first or second embodiment.
- FIG. 11 is an explanatory diagram of a method for obtaining a statistical threshold in the third embodiment of the present invention.
- dark field images 3001, 3002,... 300N are used for the repetitive structure in the die 201 described above.
- the standard deviation is calculated using the pixel values of the corresponding coordinates of different dark field images. That is, the standard deviation is calculated using the values of the pixels 5101, 5201,. The standard deviation is similarly calculated for other pixels.
- This processing is executed by the image processing unit 701a in the arithmetic processing unit 701.
- the image processing unit 701a stores the standard deviation for each pixel of the corresponding coordinates, and the defect determination unit 701e uses the standard deviation stored in the image processing unit 701a as a threshold value when detecting a defect.
- the detection optical system may be plural or singular.
- each detection optical system should be configured to change the range for obtaining a dark field image, the boundary points used for alignment, and the allowable positional deviation for alignment. Can do.
- the present invention can also be applied to an inspection apparatus that uses a bright field image.
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Abstract
Description
図1は、本発明の実施例1が適用される欠陥検査装置1000の全体概略構成図である。図1において、検査装置は、パターン付ウエハである被検査対象200は、搬送系(搬送部)としてのステージ(支持台)400上に搭載される。照明系(照明部)300は、被検査対象200上に照明光301を照明し、線状の照明領域104を形成する。
次に、本発明の実施例2について説明する。
次に、本発明の実施例3について説明する。
Claims (12)
- 検査対象物に光を照明する照明部と、
上記検査対象物からの光を検出する検出光学部と、
上記検出光学部からの検出信号に基づいて、上記検査対象物の欠陥を検出する演算処理部と、
を備え、
上記検査対象物は、互いに同一の回路パターンを有するように形成された複数のセル部及びこれら複数のセル部の各々の両辺に形成され、回路パターンが形成された複数のペリ部からなる集積回路を有するダイが複数形成され、上記複数のペリ部は、複数種類の回路パターンを有し、
上記演算処理部は、一つの上記ダイに形成された複数のセル部のうち、その両辺の一方に形成されたペリ部の回路パターンと上記両辺の他方に形成されたペリ部の回路パターンとの配列順序が同一のセル部を抽出し、上記ペリ部の回路パターンの配列順序が同一のセル部どうしが互いに重なるように位置合わせを行い、差分画像を算出し、算出した差分が閾値以下か否かを判断することにより、欠陥を検出することを特徴とする検査装置。 - 請求項1に記載の検査装置において、
上記複数のダイのセル部は、同一の回路パターンを有するように形成され、上記演算処理部は、上記セル部の両辺のペリ部及びセル部を含む一定の大きさの領域を抽出し、セル部どうしが互いに重なるように位置合わせを行うことを特徴とする検査装置。 - 請求項1に記載の検査装置において、
上記検査対象物には、セル部の回路パターンの種類が異なる複数複種類のダイが形成され、上記演算処理部は、上記セルの抽出を、上記セル部の両辺のペリ部及びセル部を含む領域を抽出して行い、上記セル部の回路パターンの種類に応じて抽出する領域の大きさを変更することを特徴とする検査装置。 - 請求項1に記載の検査装置において、
上記演算処理部は、
上記検査対象物の画像を形成する画像処理部と、
上記セル部の両辺の一方に形成されたペリ部の回路パターンと上記両辺の他方に形成されたペリ部の回路パターンとの配列順序が同一のセル部を抽出するセル抽出部と、
上記抽出したセル部の両辺のペリ部の回路パターンの配列順序が同一のセル部どうしが互いに重なるように位置合わせを行うセル移動部と、
上記位置合わせを行ったセル部どうしの差分画像を算出する差分算出部と、
算出した差分が閾値以下か否かを判断して欠陥を検出する欠陥判断部と、
を有することを特徴とする検査装置。 - 請求項4に記載の検査装置において、
上記欠陥判断部による欠陥有無判断結果を表示する表示装置をさらに備える、ことを特徴とする検査装置。 - 請求項1に記載の検査装置において、
上記演算処理部は、一つのダイ内の複数のセル部の画像の互いに対応する位置の画素について、画素値の標準偏差を算出し、算出した標準偏差を上記閾値とすることを特徴とする検査装置。 - 検査対象物を支持する支持台と、
上記検査対象物に光を照明する照明部と、
上記検査対象物からの反射光を検出する検出光学部と、
上記検出光学部からの検出信号に基づいて、上記検査対象物の欠陥を検出する演算処理部と、
を備え、
上記検査対象物は、互いに同一の回路パターンを有するように形成された複数のセル部及びこれら複数のセル部の各々の両辺に形成され、回路パターンが形成された複数のペリ部からなる集積回路を有するダイが複数形成され、上記複数のペリ部は、複数種類の回路パターンを有し、
上記演算処理部は、上記複数のダイのそれぞれについて、ダイに形成された複数のセル部のうち、その両辺の一方に形成されたペリ部の回路パターンと上記両辺の他方に形成されたペリ部の回路パターンとの配列順序が同一のセル部を抽出し、上記ペリ部の回路パターンの配列順序が同一のセル部どうしが互いに重なるように位置合わせを行い、上記位置合わせを行ったダイどうしが互いに重なるように位置合わせを行い、差分画像を算出し、算出した差分が閾値以下か否かを判断することにより、欠陥を検出することを特徴とする検査装置。 - 請求項7に記載の検査装置において、
上記複数のダイのセル部は、同一の回路パターンを有するように形成され、上記演算処理部は、上記セル部の両辺のペリ部及びセル部を含む一定の大きさの領域を抽出し、セル部どうしが互いに重なるように位置合わせを行うことを特徴とする検査装置。 - 請求項7に記載の検査装置において、
上記検査対象物には、セル部の回路パターンの種類が異なる複数複種類のダイが形成され、上記演算処理部は、上記セルの抽出を、上記セル部の両辺のペリ部及びセル部を含む領域を抽出して行い、上記セル部の回路パターンの種類に応じて抽出する領域の大きさを変更することを特徴とする検査装置。 - 請求項7に記載の検査装置において、
上記演算処理部は、
上記検査対象物の画像を形成する画像処理部と、
上記セル部の両辺の一方に形成されたペリ部の回路パターンと上記両辺の他方に形成されたペリ部の回路パターンとの配列順序が同一のセル部を抽出するセル抽出部と、
上記抽出したセル部の両辺のペリ部の回路パターンの配列順序が同一のセル部どうしが互いに重なるように位置合わせを行うセル移動部と、
上記位置合わせを行ったセル部を有するダイどうしの差分画像を算出する差分算出部と、
算出した差分が閾値以下か否かを判断して欠陥を検出する欠陥判断部と、
を有することを特徴とする検査装置。 - 請求項10に記載の検査装置において、
上記欠陥判断部による欠陥有無判断結果を表示する表示装置をさらに備える、ことを特徴とする検査装置。 - 請求項7に記載の検査装置において、
上記演算処理部は、一つのダイ内の複数のセル部の画像の互いに対応する位置の画素について、画素値の標準偏差を算出し、算出した標準偏差を上記閾値とすることを特徴とする検査装置。
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| US14/655,493 US20150355105A1 (en) | 2013-01-17 | 2013-12-19 | Inspection Apparatus |
| JP2014557371A JP6049101B2 (ja) | 2013-01-17 | 2013-12-19 | 検査装置 |
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| JP6557943B2 (ja) * | 2014-01-15 | 2019-08-14 | オムロン株式会社 | 画像照合装置、画像センサ、処理システム、画像照合方法 |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003059989A (ja) * | 2001-08-13 | 2003-02-28 | Hitachi Ltd | 半導体装置の製造方法 |
| JP2009192371A (ja) * | 2008-02-14 | 2009-08-27 | Tokyo Seimitsu Co Ltd | 外観検査装置及び外観検査方法 |
| JP2012150106A (ja) * | 2010-12-27 | 2012-08-09 | Hitachi High-Technologies Corp | 検査装置 |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6324298B1 (en) * | 1998-07-15 | 2001-11-27 | August Technology Corp. | Automated wafer defect inspection system and a process of performing such inspection |
| JP2004128391A (ja) * | 2002-10-07 | 2004-04-22 | Renesas Technology Corp | 半導体ウェーハの検査方法 |
| US8712118B2 (en) * | 2003-04-10 | 2014-04-29 | Carl Zeiss Microimaging Gmbh | Automated measurement of concentration and/or amount in a biological sample |
| JP5022191B2 (ja) * | 2007-11-16 | 2012-09-12 | 株式会社日立ハイテクノロジーズ | 欠陥検査方法及び欠陥検査装置 |
| JP5498189B2 (ja) * | 2010-02-08 | 2014-05-21 | 株式会社日立ハイテクノロジーズ | 欠陥検査方法及びその装置 |
-
2013
- 2013-12-19 US US14/655,493 patent/US20150355105A1/en not_active Abandoned
- 2013-12-19 JP JP2014557371A patent/JP6049101B2/ja not_active Expired - Fee Related
- 2013-12-19 WO PCT/JP2013/084131 patent/WO2014112290A1/ja not_active Ceased
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003059989A (ja) * | 2001-08-13 | 2003-02-28 | Hitachi Ltd | 半導体装置の製造方法 |
| JP2009192371A (ja) * | 2008-02-14 | 2009-08-27 | Tokyo Seimitsu Co Ltd | 外観検査装置及び外観検査方法 |
| JP2012150106A (ja) * | 2010-12-27 | 2012-08-09 | Hitachi High-Technologies Corp | 検査装置 |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017072501A (ja) * | 2015-10-08 | 2017-04-13 | 株式会社日立パワーソリューションズ | 欠陥検査方法、及びその装置 |
| US10354372B2 (en) | 2015-10-08 | 2019-07-16 | Hitachi Power Solutions Co., Ltd. | Defect inspection method and apparatus |
| US10529068B2 (en) | 2015-10-08 | 2020-01-07 | Hitachi Power Solutions Co., Ltd. | Defect inspection method and apparatus |
Also Published As
| Publication number | Publication date |
|---|---|
| JP6049101B2 (ja) | 2016-12-21 |
| US20150355105A1 (en) | 2015-12-10 |
| JPWO2014112290A1 (ja) | 2017-01-19 |
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