JPH0437922B2 - - Google Patents

Info

Publication number
JPH0437922B2
JPH0437922B2 JP59151211A JP15121184A JPH0437922B2 JP H0437922 B2 JPH0437922 B2 JP H0437922B2 JP 59151211 A JP59151211 A JP 59151211A JP 15121184 A JP15121184 A JP 15121184A JP H0437922 B2 JPH0437922 B2 JP H0437922B2
Authority
JP
Japan
Prior art keywords
transparent thin
thin film
film pattern
pattern
image
Prior art date
Legal status (The legal status 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 status listed.)
Expired - Lifetime
Application number
JP59151211A
Other languages
Japanese (ja)
Other versions
JPS6129712A (en
Inventor
Yasuo Nakagawa
Mitsuyoshi Koizumi
Hitoshi Kubota
Shunji Maeda
Satoshi Fushimi
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hitachi Ltd
Original Assignee
Hitachi Ltd
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 Hitachi Ltd filed Critical Hitachi Ltd
Priority to JP15121184A priority Critical patent/JPS6129712A/en
Publication of JPS6129712A publication Critical patent/JPS6129712A/en
Publication of JPH0437922B2 publication Critical patent/JPH0437922B2/ja
Granted legal-status Critical Current

Links

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
    • G01N21/8806—Specially adapted optical and illumination features

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Testing Or Measuring Of Semiconductors Or The Like (AREA)

Description

【発明の詳細な説明】 〔発明の利用分野〕 本発明は、パターン欠陥の自動検査方法に係
り、特にLSIウエハ上に形成された回路パターン
など、複雑で微細なパターンから欠陥を検出する
方法及びその装置に関するものである。
[Detailed Description of the Invention] [Field of Application of the Invention] The present invention relates to an automatic pattern defect inspection method, and in particular to a method and method for detecting defects from complex and fine patterns such as circuit patterns formed on LSI wafers. This is related to the device.

〔発明の背景〕[Background of the invention]

LSIウエハ上に形成される微細パターンは複数
の材質の異なる薄膜層で形成されている。このた
めその欠陥には層の平面的形状不良に起因するパ
ターン形状欠陥と、層の厚さの異常に起因する色
相欠陥ないし、濃淡むら欠陥がある。人間は顕微
鏡で目視することにより、これらの欠陥を検出、
判別しているが、これを自動的に行なうために
は、パターン形状情報と色相ないし濃淡情報を分
離検出することが必要となる。パターン形状情報
は本来段差を有するパターンエツヂによるもので
あり、これを能率良く検出するため暗視野照明が
有効である。しかし、暗視野照明ではエツヂ部分
だけが検出され平滑なパターン内の色相や濃淡は
検出することができない。一方、明視野照明では
色相や濃淡むらが検出できるが、同時にパターン
エツヂも検出されてしまい、これらの情報を分離
しようとすると膨大な画像処理を必要とし、実用
性がない。
Fine patterns formed on LSI wafers are made of multiple thin film layers made of different materials. For this reason, the defects include pattern shape defects caused by poor planar shape of the layer, and hue defects or density unevenness defects caused by abnormal layer thickness. Humans can detect these defects by visually observing them with a microscope.
However, in order to perform this automatically, it is necessary to separately detect pattern shape information and hue or shading information. Pattern shape information is originally based on pattern edges having steps, and dark field illumination is effective for efficiently detecting this. However, with dark-field illumination, only the edge portions are detected, and the hue and shade within the smooth pattern cannot be detected. On the other hand, bright-field illumination can detect hue and density unevenness, but pattern edges are also detected at the same time, and attempting to separate this information requires extensive image processing, making it impractical.

〔発明の目的〕[Purpose of the invention]

本発明の目的は、上記従来技術の課題を解決す
べく、LSIウエハのような多層微細回路パターン
を形成する基板上の最上層透明薄膜パターンにお
いて発生する欠け等の形状不良に起因するパター
ン形状欠陥と、該層の膜厚の異常に起因する色相
欠陥または濃淡むら欠陥を膨大な画像処理を施す
ことなく、分離して検出できるようにした微細な
パターンの欠陥検出方法及びその装置を提供する
ことにある。
The purpose of the present invention is to solve the problems of the prior art as described above, and to solve the problems of the prior art, it is an object of the present invention to solve pattern shape defects caused by shape defects such as chips that occur in the top layer transparent thin film pattern on a substrate forming a multilayer fine circuit pattern such as an LSI wafer. And, to provide a method and device for detecting fine pattern defects, which can separate and detect hue defects or shade unevenness defects caused by an abnormality in the film thickness of the layer without performing extensive image processing. It is in.

〔発明の概要〕[Summary of the invention]

即ち本発明は上記目的を達成するために、多層
微細回路パターンを形成する基板上の最上層透明
薄膜パターン上のほぼ同一箇所に対して、上記最
上層透明薄膜パターンの断差部の表面からの反射
光量を増してこの最上層透明薄膜パターンの断差
部を顕在化すべくS偏光からなる第1の照明光を
斜め方向から照射して暗視野照明を行うと共に上
記第1の照明光と異なる波長の第2の照明光をほ
ぼ垂直方向から照射して上記最上層透明薄膜パタ
ーンを透過して最上層透明薄膜パターンの下層の
表面で反射して最上層透明薄膜パターンを透過し
てくる反射光量に最上層透明薄膜パターンの膜厚
に応じて変化するように明視野照明を行い、上記
第1の照明光による最上層透明薄膜パターンの断
差部から第1の反射光と上記第2の照明光による
最上層透明薄膜パターンを通しての最上層透明薄
膜パターンの下層の表面で反射してくる第2の反
射光とを対物レンズを通して集光すると共に第1
の反射光像と第2の反射光像とを、波長の相違に
基いて分離して各々の像検出器で検出し、一方の
像検出器で得られる第1の反射光像による第1の
画像信号と第1の基準画像信号とを比較して断差
部を示す輪郭部の不一致信号により最上層透明薄
膜パターンの形状欠陥を検出し、他方の像検出器
から得られる第2の反射光像による第2の画像信
号と第2の基準画像信号とを比較して濃淡変化や
色相変化を示す差画像信号により最上層透明薄膜
パターンの膜厚変動による欠陥を検出することを
特徴とする微細パターンの欠陥検出方法及びその
装置である。
That is, in order to achieve the above-mentioned object, the present invention provides a method for forming a multi-layer microcircuit pattern from the surface of the cut-off portion of the uppermost transparent thin film pattern to approximately the same location on the uppermost transparent thin film pattern on the substrate on which the multilayer fine circuit pattern is formed. In order to increase the amount of reflected light and make the difference in the uppermost layer transparent thin film pattern visible, first illumination light consisting of S-polarized light is irradiated from an oblique direction to perform dark-field illumination, and a wavelength different from that of the first illumination light is applied. The second illumination light is irradiated from a substantially vertical direction, passes through the uppermost transparent thin film pattern, is reflected by the surface of the lower layer of the uppermost transparent thin film pattern, and is transmitted through the uppermost transparent thin film pattern. Bright field illumination is performed so as to vary according to the film thickness of the uppermost transparent thin film pattern, and the first reflected light and the second illumination light are emitted from the difference part of the uppermost transparent thin film pattern caused by the first illumination light. The second reflected light that passes through the uppermost transparent thin film pattern and is reflected on the surface of the lower layer of the uppermost transparent thin film pattern is focused through the objective lens, and the first
The reflected light image and the second reflected light image are separated based on the difference in wavelength and detected by each image detector, and the first reflected light image obtained by one of the image detectors is The image signal is compared with the first reference image signal to detect a shape defect in the uppermost layer transparent thin film pattern based on the mismatch signal of the outline indicating the difference, and the second reflected light obtained from the other image detector is detected. A second image signal based on an image is compared with a second reference image signal to detect a defect due to a film thickness variation of the uppermost layer transparent thin film pattern using a difference image signal indicating a change in shade or hue. A method and apparatus for detecting pattern defects.

〔発明の実施例〕[Embodiments of the invention]

以下、本発明の一実施例を第1図により説明す
る。第1図は暗視野照明系として光源1、コンデ
ンサレンズ2、暗視野照明用波長選定のための狭
帯域フイルタ(波長λ1とする)3、リング状開口
スリツト4、リング状ミラー5、放物凹面鏡6、
また明視野照明系として光源7、コンデンサレン
ズ8、波長選定フイルタ9、円形開口スリツト1
0、ハーフミラー11、結像系として対物レンズ
12、波長分離ミラー(例えばダイクロツクミラ
ー)13、および暗視野像検出イメージセンサ1
4、明視野像検出イメージセンサ15、2値化回
路16、メモリ17、画像比較回路18、2値化
回路19、メモリ20、画像比較回路21、判定
部22、XYテーブル23、送りモータ24、テ
ーブル制御回路25、全体制御回路26で構成さ
れる。
An embodiment of the present invention will be described below with reference to FIG. Figure 1 shows a dark-field illumination system including a light source 1, a condenser lens 2, a narrow band filter (wavelength λ 1 ) 3 for selecting the wavelength for dark-field illumination, a ring-shaped aperture slit 4, a ring-shaped mirror 5, and a paraboloid. concave mirror 6,
In addition, a bright field illumination system includes a light source 7, a condenser lens 8, a wavelength selection filter 9, and a circular aperture slit 1.
0, a half mirror 11, an objective lens 12 as an imaging system, a wavelength separation mirror (for example, a dichroic mirror) 13, and a dark field image detection image sensor 1
4, bright field image detection image sensor 15, binarization circuit 16, memory 17, image comparison circuit 18, binarization circuit 19, memory 20, image comparison circuit 21, determination section 22, XY table 23, feed motor 24, It is composed of a table control circuit 25 and an overall control circuit 26.

被検査物、例えばLSIウエハ27はXYテーブ
ル23の上にあらかじめ正確に位置決めされ、固
定されている。位置決め、固定機構は図示してい
ない。27上のパターンは暗視野、及び明視野の
照明がなされている。暗視野照明はフイルタ3に
より波長λに限定され、放物凹面鏡6により、パ
ターン上に周囲斜め方向から照らされる。明視野
照明はフイルタ9により波長λを含まない光に限
定され、ハーフミラー11を介し、対物レンズ1
2より上方から照らされる。パターンは対物レン
ズ12により拡大され、波長λの暗視野像はイメ
ージセンサ14上に、波長λ以外の明視野像はイ
メージセンサ15上に結像される。結像系におけ
る波長及び光路分離は薄膜ミラー13によりなさ
れる。
An object to be inspected, for example, an LSI wafer 27, is accurately positioned and fixed on the XY table 23 in advance. Positioning and fixing mechanisms are not shown. The pattern on 27 is illuminated in dark field and bright field. The dark field illumination is limited to a wavelength λ by a filter 3, and is illuminated onto the pattern from an oblique direction around the pattern by a parabolic concave mirror 6. Bright field illumination is limited to light that does not include the wavelength λ by a filter 9, and is passed through a half mirror 11 to the objective lens 1.
2. It is illuminated from above. The pattern is magnified by the objective lens 12, and a dark-field image with a wavelength λ is formed on the image sensor 14, and a bright-field image with a wavelength other than λ is formed on the image sensor 15. Wavelength and optical path separation in the imaging system is performed by a thin film mirror 13.

今、LSIウエハ27上に第9図に示すパターン
があるとする。第9図aはパターンの平面図、同
図bはaの一点鎖線部分の断面図である。すなわ
ち、周囲に厚いSiO2の表面層があり、パターン
部分だけSiO2の層が極端にうすくなつている。
ここでAで示す部分はパターン形状が一部欠け
た、すなわち輪郭形状に異常をきたしている欠
陥、Bで示す部分はSiO2の層の厚さが局部的に
厚い欠陥である。Aのようなパターン形状欠陥は
パターンエツヂの平面形状の異常として検出され
る。これに対してBのような透明薄膜の厚さ異常
の欠陥はパターンエツヂの平面形状は何ら異常で
はないが、平面画像の明るさや色相が変化する。
これは薄膜の厚さ変化による透過光量の変化また
は、薄膜表面と下面とからの反射光の干渉による
干渉色が厚さの変化に伴ない変化するために生じ
るものである。第9図は一層のパターン例を示し
たが多層パターンにおいても同様の欠陥を生じ
る。さて、このウエハパターンを検出すると14
の結像面上には第2図aのような暗視野照明像が
結像する。すなわち、パターンエツヂが明るく検
出され、その他のほぼ平滑な面は暗く検出され
る。第2図bは、aの中央に示した一点鎖線上の
映像信号を例示しており、エツヂが明るく、明瞭
に検出される。従つて2値化回路16で第2図b
に鎖線で示す2値化閾値VTH1で2値化すると、第
2図cのようにエツヂ部が値1、その他が0の安
定した2値パターンが得られる。一方15の結像
面上には例えば第3図aのような明視野照明像が
結像する。すなわち、各パターンの平滑面がその
パターンの性状により決まる濃淡を有している。
第3図の例では骨状パターンの右にパターン膜厚
の異常があり、濃淡が変化している。この部分は
欠陥である。第3図bは第3図aの一点鎖線上の
映像信号を示しており、上記欠陥部で若干出力が
低下している。この部分が暗らく(値0)で検出
されるように閾値VTH2を設定しておき、パターン
を2値化するとほぼ均一な明るさを持つパターン
部を値1、変色や濃淡変化を生じている部分とエ
ツヂ及びその周辺を値0とする2値パターンが得
られる。
Assume that there is a pattern shown in FIG. 9 on the LSI wafer 27. FIG. 9a is a plan view of the pattern, and FIG. 9b is a sectional view taken along the dashed line in a. That is, there is a thick surface layer of SiO 2 around it, and the SiO 2 layer is extremely thin only in the pattern area.
Here, the part indicated by A is a defect in which a part of the pattern shape is missing, that is, the contour shape is abnormal, and the part indicated by B is a defect in which the thickness of the SiO 2 layer is locally thick. A pattern shape defect like A is detected as an abnormality in the planar shape of the pattern edge. On the other hand, in the case of a defect such as B in which the thickness of the transparent thin film is abnormal, the planar shape of the pattern edge is not abnormal at all, but the brightness and hue of the planar image change.
This occurs because the amount of transmitted light changes due to a change in the thickness of the thin film, or because the interference color due to the interference of reflected light from the surface and bottom surface of the thin film changes with the change in thickness. Although FIG. 9 shows an example of a single layer pattern, similar defects occur in multilayer patterns as well. Now, when this wafer pattern is detected, 14
A dark-field illumination image as shown in FIG. 2a is formed on the imaging plane. That is, the pattern edges are detected brightly, and the other substantially smooth surfaces are detected darkly. FIG. 2b shows an example of the video signal on the dashed line shown in the center of a, and the edges are bright and clearly detected. Therefore, in the binarization circuit 16,
When the image is binarized using the binarization threshold value V TH1 shown by the chain line in FIG. On the other hand, a bright field illumination image as shown in FIG. 3a, for example, is formed on the imaging plane 15. That is, the smooth surface of each pattern has shading determined by the properties of the pattern.
In the example shown in FIG. 3, there is an abnormality in the pattern film thickness to the right of the bone-like pattern, and the shading changes. This part is defective. FIG. 3b shows the video signal on the dashed-dotted line in FIG. 3a, and the output is slightly reduced at the defective portion. The threshold value V TH2 is set so that this part is detected as dark (value 0), and when the pattern is binarized, the pattern part with almost uniform brightness is set to a value 1, and the value 1 is set so that this part is detected as dark (value 0). A binary pattern is obtained in which the value 0 is set at the edge, the edge, and its surroundings.

第4図は検査対象の例としてLSIウエハを示し
ている。ウエハ27上には、LSIチツプ28が繰
返し、整列して配置されている。イメージセンサ
14,15にリニア・イメージセンサを用いる場
合、イメージセンサは第4図実線29の視野を有
しており、XYテーブル23の走査によりリニ
ア・イメージセンサの視野はジグザグの矢印30
のように移動する。従つてメモリ17,20に
は、検出パターンが順次記憶されてゆき、かつ検
出中のパターンの頂度1チツプ前の同一位置のパ
ターン信号が読出されてゆく。従つて比較回路1
8,21では検出中のパターンと1チツプ前のパ
ターンの同一位置のパターンが比較され、不一致
が存在する時、欠陥判定部22に不一致が存在し
たこと、その大きさ、位置を通知する。欠陥判定
部は18または21からあらかじめ設定した値以
上の大きさを持つ不一致の存在が通知された時、
その位置を欠陥位置として記憶する。欠陥位置と
欠陥の大きさ等出力回路については特に図示して
いない。全体制御回路26は上記した一連の動作
のシーケンスを制御する。以上のように本実施例
ではパターンの輪郭形状と濃淡情報を暗視野照
明、明視野照明で同時に分離検出、自動検査する
ことができる。
FIG. 4 shows an LSI wafer as an example of an object to be inspected. On the wafer 27, LSI chips 28 are repeatedly arranged in alignment. When linear image sensors are used as the image sensors 14 and 15, the image sensors have a field of view as shown by the solid line 29 in FIG.
Move like. Therefore, the detection patterns are sequentially stored in the memories 17 and 20, and the pattern signal at the same position one chip before the top of the pattern being detected is read out. Therefore, comparison circuit 1
At steps 8 and 21, the pattern being detected and the pattern at the same position of the pattern one chip before are compared, and when a mismatch exists, the defect determining section 22 is notified of the presence of the mismatch, its size, and position. When the defect determination unit is notified from 18 or 21 of the existence of a mismatch having a size greater than a preset value,
The position is stored as a defect position. A circuit for outputting the defect position, defect size, etc. is not particularly shown. The overall control circuit 26 controls the sequence of the above-described operations. As described above, in this embodiment, the contour shape and shading information of a pattern can be simultaneously detected separately and automatically inspected using dark field illumination and bright field illumination.

本実施例ではリニアイメージセンサを使用した
が、2次元のイメージセンサを使用し、XYテー
ブルをステツプ送り、あるいは連続送りでパルス
状発光を照明光源にさせても良い。また本実施例
では、検出画像を2値化し、2値画像で比較した
が、A/D変換器で多値化し、多値画像で比較し
ても良い。また、本実施例では1つ前のチツプと
の比較検査を例示したが、これは1チツプ内の繰
返しパターン間の比較検査、2つのウエハの比較
検査、設計パターンなどあらかじめ用意できる良
品パターン情報との比較検査であつても良い。
Although a linear image sensor is used in this embodiment, a two-dimensional image sensor may be used, and the XY table may be fed in steps or continuously, and pulsed light emission may be used as the illumination light source. Further, in this embodiment, the detected image is binarized and compared as a binary image, but it may be converted into a multivalued image using an A/D converter and compared as a multivalued image. In addition, in this example, a comparison inspection with the previous chip was exemplified, but this can also be done with comparison inspection between repeated patterns within one chip, comparison inspection between two wafers, and non-defective pattern information that can be prepared in advance such as a design pattern. It may also be a comparative test.

第5図は本発明の他の一実施例を示している。
暗視野照明系は光源1、コンデンサレンズ2、波
長λのフイルタ3、偏光板兼リング状スリツト3
1、リング状ミラー5、放物凹面鏡6で構成され
ており、対象面に周囲より一様な暗視野偏光照明
を行なう。偏向はS偏光(振動が被検査面に並
行)である。明視野照明系は波長λとは異なる波
長成分λ′,λ″を持つ2つの光源32,33、コン
デンサレンズ34、波長λ′の狭帯域フイルタ3
5、波長λ″の狭帯域フイルタ36、λ′とλ″を合成
するハーフミラー37、円形開口スリツト10、
ハーフミラー11で構成される。検出系は対物レ
ンズ12、明視野、暗視野照明光分離用ミラー3
8、これは波長λのみ透過、λ′,λ″は反射、明視
野照明光をλ′,λ″に分離する分離用ミラー39、
λ′の狭帯域フイルタ40、λ″の狭帯域フイルタ4
1、明視野λ′用のイメージセンサ42、明視野
λ″用のイメージセンサ43から構成される。判
定回路部はA/D変換器44、メモリ45、色相
抽出回路46、画像比較回路47,48、判定部
22で構成され、これらとXYテーブル23、送
りモータ24、テーブル制御回路25、全体制御
回路26で構成される。
FIG. 5 shows another embodiment of the invention.
The dark field illumination system consists of a light source 1, a condenser lens 2, a filter 3 with wavelength λ, and a ring-shaped slit 3 that also serves as a polarizing plate.
1. It is composed of a ring-shaped mirror 5 and a parabolic concave mirror 6, and provides uniform dark-field polarized illumination to the target surface from the surrounding area. The polarization is S-polarized light (vibration parallel to the surface to be inspected). The bright field illumination system includes two light sources 32 and 33 with wavelength components λ' and λ'' different from the wavelength λ, a condenser lens 34, and a narrow band filter 3 with a wavelength λ'.
5. Narrow band filter 36 for wavelength λ'', half mirror 37 for combining λ' and λ'', circular aperture slit 10,
It is composed of a half mirror 11. The detection system includes an objective lens 12 and a mirror 3 for separating bright field and dark field illumination lights.
8. This is a separation mirror 39 that transmits only the wavelength λ, reflects λ' and λ'', and separates the bright field illumination light into λ' and λ''.
λ′ narrow band filter 40, λ″ narrow band filter 4
1. It is composed of an image sensor 42 for bright field λ' and an image sensor 43 for bright field λ''. The determination circuit section includes an A/D converter 44, a memory 45, a hue extraction circuit 46, an image comparison circuit 47, 48, a determination section 22, an XY table 23, a feed motor 24, a table control circuit 25, and an overall control circuit 26.

ここで偏光板兼リング状スリツト31は第6図
のように、偏光板を分割、組合せることにより周
囲ほぼ一様なS偏光暗視野照明が可能となる。S
偏光を用いる理由は、多層の複雑なパターンの内
最上層パターンをコントラスト良く検出するのに
有効だからである。第10図はウエハ多層パター
ンの例としてダイナミツクRAMの構造を示して
いる。すなわちデータ線49がA、ワード線5
0が多結晶シリコンで形成され、同じく多結晶シ
リコンの電極51とP基板52の反転層領域から
なる記憶領域とが、データ線49の真下でデータ
線方向にレイアウトされているものである。なお
ワード線50とデータ線49との間には絶縁膜が
形成されている。このような多種類の層からなる
LSIウエハの各層のパターンを検査するために
は、最上層が形成される毎に、最上層が正しく形
成されたかを検査する必要があり、最上層の顕在
化検出はこの目的に合致する。その原理は第7図
に示すように、S偏光がP偏光に対し反射率が高
い、すなわち、多層パターンに照明した光の多く
が表面で反射するため最上層のパターンエツヂが
顕在化されるものである。暗視野照明像はイメー
ジセンサ14で検出され、45,47により1チ
ツプ前のパターンの同一位置の暗視野照明像と比
較検査される。この点は第1の実施例と同一であ
る。
As shown in FIG. 6, the polarizing plate/ring-shaped slit 31 can be divided and combined to provide almost uniform S-polarized dark field illumination around the area. S
The reason why polarized light is used is that it is effective in detecting the top layer pattern of a multilayer complex pattern with good contrast. FIG. 10 shows the structure of a dynamic RAM as an example of a wafer multilayer pattern. That is, data line 49 is A, word line 5
0 is made of polycrystalline silicon, and a storage area consisting of an electrode 51 also made of polycrystalline silicon and an inversion layer region of a P substrate 52 is laid out directly below the data line 49 in the data line direction. Note that an insulating film is formed between the word line 50 and the data line 49. Consists of many types of layers like this
In order to inspect the pattern of each layer of an LSI wafer, it is necessary to inspect whether the uppermost layer has been formed correctly each time it is formed, and the detection of the uppermost layer meets this purpose. The principle behind this is that, as shown in Figure 7, S-polarized light has a higher reflectance than P-polarized light; in other words, much of the light illuminated on a multilayer pattern is reflected from the surface, making the pattern edge of the top layer obvious. be. The dark-field illumination image is detected by the image sensor 14 and compared with the dark-field illumination image at the same position of the pattern one chip before by 45 and 47. This point is the same as the first embodiment.

一方、明視野照明は、対象パターンの色調変化
を検出しやすい2つの波長λ′,λ″をあらかじめ設
定しておき、これで照明、検出光学像を波長λ′,
λ″で分離し、その像をそれぞれイメージセンサ
42,43で検出する。色相抽出回路46は正確
に色相を抽出する必要はなく、多層薄膜の微妙な
色調変化が検出できれば良い。一般に薄膜は明視
野照明で第8図に例示されるような干渉色を生
じ、その分光反射率は膜厚tにより異なる。従つ
て特徴の顕著に出る2波長λ′,λ″が選定されてい
れば、各波長での出力をV(λ′),V(λ″)とする
と、V(λ′)/V(λ″)を求めることにより、色調
変化を顕在化することができる。ここでV(λ″)
<VTH3の時、割算を行なわず、出力をゼロとする
ことにより、パターンエツヂなど暗い部分での誤
検出を防ぐことができると共に、濃淡変化におけ
る第一の実施例と同じ効果をもたらすことができ
る。46では以上の処理を行なう。45,46は
第1の実施例におけると同様の機能をし、色相お
よび濃淡変化を有する不一致を検出、22におい
て欠陥と認識できる。
On the other hand, with bright-field illumination, two wavelengths λ' and λ'' are set in advance to make it easier to detect color changes in the target pattern.
λ'', and the images are detected by image sensors 42 and 43, respectively.The hue extraction circuit 46 does not need to extract the hue accurately, but only needs to be able to detect subtle changes in tone of the multilayer thin film.Generally, thin films are bright. Field illumination produces interference colors as shown in Fig. 8, and the spectral reflectance thereof varies depending on the film thickness t.Therefore, if two wavelengths λ' and λ'' are selected that have prominent characteristics, each Assuming that the output at wavelength is V(λ') and V(λ''), the change in color tone can be made apparent by finding V(λ')/V(λ''). Here V(λ″)
<V When TH3 , by not performing division and setting the output to zero, it is possible to prevent false detection in dark areas such as pattern edges, and it is possible to bring about the same effect as the first embodiment in terms of density changes. can. At step 46, the above processing is performed. 45 and 46 have the same functions as in the first embodiment, and detect discrepancies in hue and shade changes, which can be recognized as defects at 22.

以上第二の実施例においても第一の実施例にお
ける付記事項(2次元イメージセンサや比較対象
のバリエーシヨン)は成立する。また第二の実施
例ではλ′,λ″の2波長を使用する場合を例示した
が、青、赤、緑の3原色で検出、色の位相角度を
求める方式であつても良い。またその他の複数波
長を利用する方式であつても良い。また波長光源
を用い、波長λだけをカツトし、複数のイメージ
センサで複数波長の画像を検出する方式であつて
も良い。
Also in the second embodiment, the additional items in the first embodiment (two-dimensional image sensor and variations of the comparison target) hold true. Further, in the second embodiment, the case where two wavelengths of λ' and λ'' are used is illustrated, but a method of detecting the three primary colors of blue, red, and green and determining the phase angle of the color may also be used. Alternatively, it may be a method that uses a wavelength light source, cuts only the wavelength λ, and detects images of multiple wavelengths using a plurality of image sensors.

〔発明の効果〕〔Effect of the invention〕

以上説明したように本発明によれば、S偏光か
らなる第1の照明光による最上層透明薄膜パター
ンの断差部からの第1の反射光像と第2の照明光
による最上層透明薄膜パターンを通しての最上層
透明薄膜パターンの下層の表面で反射してくる第
2の反射光像とを、波長の相違に基いて分離して
各々の像検出器で検出し、一方の像検出器で得ら
れる第1の反射光像による第1の画像信号と第1
の基準画像信号とを比較して断差部を示す輪郭部
の不一致信号により最上層透明薄膜パターンの形
状欠陥を検出し、他方の像検出器から得られる第
2の反射光像による第2の画像信号と第2の基準
画像信号とを比較して濃淡変化や色相変化を示す
差画像信号により最上層透明薄膜パターンの膜厚
変動による欠陥を検出することにより、LSIウエ
ハのような多層微細回路パターンを形成する基板
上の最上層透明薄膜パターンにおいて、輪郭の異
常による形状欠陥か、膜厚変動による欠陥かを、
簡単な構成により高速に分離して検査することが
でき、プロセス条件にフイードバツクして不良原
因を究明して高歩留まりで半導体等の製品を製造
することができる効果を奏する。
As explained above, according to the present invention, the first reflected light image from the difference part of the uppermost layer transparent thin film pattern by the first illumination light consisting of S-polarized light and the uppermost layer transparent thin film pattern by the second illumination light. The second reflected light image reflected from the surface of the lower layer of the uppermost layer transparent thin film pattern is separated based on the difference in wavelength and detected by each image detector. The first image signal based on the first reflected light image and the first
A shape defect in the uppermost layer transparent thin film pattern is detected by comparing the reference image signal with the reference image signal of the contour part indicating the difference part, and a second reflected light image obtained from the other image detector is detected. By comparing the image signal and the second reference image signal and detecting defects due to film thickness variations in the top layer transparent thin film pattern using the difference image signal indicating changes in density and hue, multilayer microcircuits such as LSI wafers can be detected. In the uppermost transparent thin film pattern on the substrate where the pattern is formed, we can determine whether the defect is due to an abnormal contour or a variation in the film thickness.
The simple configuration allows for high-speed separation and inspection, provides feedback to process conditions, investigates the cause of defects, and produces products such as semiconductors with high yield.

【図面の簡単な説明】[Brief explanation of drawings]

第1図は本発明の一実施例を説明するための全
体構成図、第2図は暗視野照明におけるパターン
検出状態と2値化を説明する図、第3図は明視野
照明におけるパターン検出状態と2値化を説明す
る図、第4図は実施例における検出視野と検出シ
ーケンスを説明する図、第5図は本発明の他の一
実施例を説明するための全体構成図、第6図は第
5図の実施例におけるリング状偏光板の具体例を
説明する図、第7図はS偏光とP偏光の反射特性
の差を説明する図、第8図は薄膜の干渉色を説明
するための分光反射率特性を示す図、第9図aは
LSIウエハ上のパターンを示す平面図、第9図b
は第9図aの断面を示す図、第10図はウエハ多
層パターンの例としてダイナミツクRAMの構造
を示した図である。 1……光源、2……コンデンサレンズ、3……
狭帯域フイルタ、4……リング状開口スリツト、
5……リング状ミラー、6……放物凹面鏡、7…
…光源、8……コンデンサレンズ、9……波長選
定フイルタ、10……円形開口スリツト、11…
…ハーフミラー、12……対物レンズ、13……
波長分離ミラー、14……暗視野像検出イメージ
センサ、15……明視野像検出イメージセンサ、
16……2値化回路、17,20……メモリ、1
8,21……画像比較回路、22……判定部、2
7……LSIウエハ。
Figure 1 is an overall configuration diagram for explaining one embodiment of the present invention, Figure 2 is a diagram for explaining pattern detection status and binarization in dark-field illumination, and Figure 3 is a diagram for explaining pattern detection status in bright-field illumination. 4 is a diagram illustrating the detection field of view and the detection sequence in the embodiment, FIG. 5 is an overall configuration diagram illustrating another embodiment of the present invention, and FIG. 6 is a diagram explaining the binarization. is a diagram explaining a specific example of the ring-shaped polarizing plate in the embodiment of FIG. 5, FIG. 7 is a diagram explaining the difference in the reflection characteristics of S-polarized light and P-polarized light, and FIG. 8 is a diagram explaining the interference color of the thin film. Figure 9a shows the spectral reflectance characteristics for
Plan view showing the pattern on the LSI wafer, Figure 9b
is a cross-sectional view of FIG. 9a, and FIG. 10 is a diagram showing the structure of a dynamic RAM as an example of a wafer multilayer pattern. 1...Light source, 2...Condenser lens, 3...
Narrowband filter, 4...ring-shaped opening slit,
5... Ring-shaped mirror, 6... Parabolic concave mirror, 7...
...Light source, 8...Condenser lens, 9...Wavelength selection filter, 10...Circular aperture slit, 11...
...Half mirror, 12...Objective lens, 13...
Wavelength separation mirror, 14...Dark field image detection image sensor, 15...Bright field image detection image sensor,
16... Binarization circuit, 17, 20... Memory, 1
8, 21... Image comparison circuit, 22... Judgment unit, 2
7...LSI wafer.

Claims (1)

【特許請求の範囲】 1 多層微細回路パターンを形成する基板上の最
上層透明薄膜パターン上のほぼ同一箇所に対し
て、上記最上層透明薄膜パターンの断差部の表面
からの反射光量を増してこの最上層透明薄膜パタ
ーンの断差部を顕在化すべくS偏光からなる第1
の照明光を斜め方向から照射して暗視野照明を行
うと共に上記第1の照明光と異なる波長の第2の
照明光をほぼ垂直方向から照射して上記最上層透
明薄膜パターンを透過して最上層透明薄膜パター
ンの下層の表面で反射して最上層透明薄膜パター
ンを透過してくる反射光量に最上層透明薄膜パタ
ーンの膜厚に応じて変化するように明視野照明を
行い、上記第1の照明光による最上層透明薄膜パ
ターンの断差部からの第1の反射光と上記第2の
照明光による最上層透明薄膜パターンを通しての
最上層透明薄膜パターンの下層の表面で反射して
くる第2の反射光とを対物レンズを通して集光す
ると共に第1の反射光像と第2の反射光像とを、
波長の相違に基いて分離して各々の像検出器で検
出し、一方の像検出器で得られる第1の反射光像
による第1の画像信号と第1の基準画像信号とを
比較して断差部を示す輪郭部の不一致信号により
最上層透明薄膜パターンの形状欠陥を検出し、他
方の像検出器から得られる第2の反射光像による
第2の画像信号と第2の基準画像信号とを比較し
て濃淡変化や色相変化を示す差画像信号により最
上層透明薄膜パターンの膜厚変動による欠陥を検
出することを特徴とする微細パターンの欠陥検出
方法。 2 多層微細回路パターンを形成する基板上の最
上層透明薄膜パターン上に対して、上記最上層透
明薄膜パターンの断差部の表面からの反射光量を
増してこの最上層透明薄膜パターンの断差部を顕
在化すべくS偏光からなる第1の照明光を斜め方
向から照射する暗視野照明光学系と、上記第1の
照明光と波長を異ならしめた第2の照明光を上記
最上層透明薄膜パターンを透過して最上層透明薄
膜パターンの下層の表面で反射して最上層透明薄
膜パターンを透過してくる反射光量に最上層透明
薄膜パターンの膜厚に応じて変化するように上記
最上層透明薄膜パターン上のほぼ同一箇所に対し
てほぼ垂直方向から照射する明視野照明光学系
と、上記暗視野照明光学系で照射する第1の照明
光による最上層透明薄膜パターンの断差部からの
第1の反射光と明視野照明光学系で照射する第2
の照明光による最上層透明薄膜パターンを通して
の最上層透明薄膜パターンの下層の表面で反射し
てくる第2の反射光とを集光させる対物レンズ
と、該対物レンズを通して得られる第1の反射光
像と第2の反射光像とを、波長の相違に基いて分
離して各々の像検出器に結像させて検出する分離
検出光学系と、該分離検出光学系で分離され、一
方の像検出器で得られる第1の反射光像による第
1の画像信号と第1の基準画像信号とを比較して
断差部を示す輪郭部の不一致信号により最上層透
明薄膜パターンの形状欠陥を検出すると共に、他
方の像検出器から得られる第2の反射光像による
第2の画像信号と第2の基準画像信号とを比較し
て濃淡変化や色相変化を示す差画像信号により最
上層透明薄膜パターンの膜厚変動による欠陥を検
出する欠陥検出手段とを備えたこと特徴とする微
細パターンの欠陥検出装置。
[Scope of Claims] 1. Increase the amount of light reflected from the surface of the cut-off portion of the uppermost transparent thin film pattern at substantially the same location on the uppermost transparent thin film pattern on the substrate on which the multilayer fine circuit pattern is formed. In order to make the difference in the uppermost layer transparent thin film pattern visible, the first
Dark-field illumination is performed by irradiating illumination light from an oblique direction, and second illumination light having a different wavelength from the first illumination light is irradiated from a substantially perpendicular direction to transmit through the uppermost transparent thin film pattern to perform dark field illumination. Bright field illumination is performed so that the amount of reflected light reflected from the surface of the lower layer of the upper transparent thin film pattern and transmitted through the uppermost transparent thin film pattern changes according to the film thickness of the uppermost transparent thin film pattern, and The first reflected light from the difference part of the uppermost transparent thin film pattern caused by the illumination light and the second reflected light from the surface of the lower layer of the uppermost transparent thin film pattern through the uppermost transparent thin film pattern caused by the second illumination light. The reflected light is collected through an objective lens, and a first reflected light image and a second reflected light image are
The first image signal obtained by the first reflected light image obtained by one of the image detectors is compared with the first reference image signal, which is separated based on the difference in wavelength and detected by each image detector. A shape defect in the top layer transparent thin film pattern is detected based on a mismatch signal of a contour portion indicating a difference, and a second image signal and a second reference image signal are generated based on a second reflected light image obtained from the other image detector. 1. A method for detecting defects in fine patterns, characterized by detecting defects due to variations in film thickness of an uppermost layer transparent thin film pattern using a difference image signal indicating a change in shade or hue by comparing the two. 2. Increase the amount of light reflected from the surface of the cut-off portion of the top-layer transparent thin-film pattern on the top-layer transparent thin-film pattern on the substrate on which the multilayer fine circuit pattern is formed, so that the cut-off portion of the top-layer transparent thin-film pattern is increased. a dark-field illumination optical system that irradiates first illumination light consisting of S-polarized light from an oblique direction in order to make the The amount of light transmitted through the uppermost transparent thin film pattern is reflected by the surface of the lower layer of the uppermost transparent thin film pattern, and then transmitted through the uppermost transparent thin film pattern.The uppermost transparent thin film A bright field illumination optical system that irradiates almost the same spot on the pattern from a substantially perpendicular direction, and a first illumination light that irradiates with the dark field illumination optical system from the difference part of the uppermost transparent thin film pattern. The second beam is illuminated by the reflected light and the bright-field illumination optical system.
an objective lens for condensing second reflected light reflected from the surface of the lower layer of the uppermost transparent thin film pattern through the uppermost transparent thin film pattern caused by the illumination light; and a first reflected light obtained through the objective lens. a separation detection optical system that separates the image and a second reflected light image based on the difference in wavelength and forms the images on respective image detectors for detection; A first image signal based on a first reflected light image obtained by a detector is compared with a first reference image signal, and a shape defect in the top layer transparent thin film pattern is detected based on a mismatch signal of a contour portion indicating a difference portion. At the same time, a second image signal based on a second reflected light image obtained from the other image detector is compared with a second reference image signal, and a difference image signal indicating a change in density or hue is used to detect the top layer transparent thin film. 1. A defect detection device for fine patterns, comprising: defect detection means for detecting defects due to variations in film thickness of a pattern.
JP15121184A 1984-07-23 1984-07-23 Fine pattern defect detection method and device Granted JPS6129712A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP15121184A JPS6129712A (en) 1984-07-23 1984-07-23 Fine pattern defect detection method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP15121184A JPS6129712A (en) 1984-07-23 1984-07-23 Fine pattern defect detection method and device

Publications (2)

Publication Number Publication Date
JPS6129712A JPS6129712A (en) 1986-02-10
JPH0437922B2 true JPH0437922B2 (en) 1992-06-22

Family

ID=15513662

Family Applications (1)

Application Number Title Priority Date Filing Date
JP15121184A Granted JPS6129712A (en) 1984-07-23 1984-07-23 Fine pattern defect detection method and device

Country Status (1)

Country Link
JP (1) JPS6129712A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009150725A (en) * 2007-12-19 2009-07-09 Hitachi High-Technologies Corp Defect inspection equipment

Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2605115A1 (en) * 1986-10-01 1988-04-15 Primat Didier Multi channel optical acquisition device with integral illumination
JPS63190261A (en) * 1987-01-31 1988-08-05 Pentel Kk battery
JPH0541551Y2 (en) * 1987-02-16 1993-10-20
JPH02170279A (en) * 1988-12-23 1990-07-02 Hitachi Ltd Method and device for detecting defect of pattern to be checked
US6411377B1 (en) 1991-04-02 2002-06-25 Hitachi, Ltd. Optical apparatus for defect and particle size inspection
JP2827843B2 (en) * 1993-10-18 1998-11-25 村田機械株式会社 Package dirt inspection method
JP2822937B2 (en) * 1995-07-17 1998-11-11 株式会社日立製作所 Semiconductor device manufacturing system and defect inspection method
JP4001653B2 (en) * 1996-08-29 2007-10-31 ケーエルエー・インストルメンツ・コーポレーション Optical inspection of samples using multichannel response from the sample
JPH11237344A (en) * 1998-02-19 1999-08-31 Hitachi Ltd Defect inspection method and apparatus
WO1999066314A1 (en) * 1998-06-16 1999-12-23 Orbotech Ltd. Illuminator for inspecting substantially flat surfaces
JP3981696B2 (en) * 1998-07-28 2007-09-26 株式会社日立製作所 Defect inspection apparatus and method
JP3904581B2 (en) * 1998-07-28 2007-04-11 株式会社日立製作所 Defect inspection apparatus and method
JP3904565B2 (en) * 1998-07-28 2007-04-11 株式会社日立製作所 Defect inspection apparatus and method
AU1412000A (en) * 1998-11-30 2000-06-19 Olympus Optical Co., Ltd. Measuring instrument
JP2005308725A (en) * 2004-03-26 2005-11-04 Sumitomo Osaka Cement Co Ltd Device for inspecting defect in transparent plate
JP4826750B2 (en) * 2005-04-08 2011-11-30 オムロン株式会社 Defect inspection method and defect inspection apparatus using the method
JP4716827B2 (en) * 2005-09-13 2011-07-06 株式会社東京精密 Appearance inspection apparatus and appearance inspection method
JP4723362B2 (en) * 2005-11-29 2011-07-13 株式会社日立ハイテクノロジーズ Optical inspection apparatus and method
US7782452B2 (en) * 2007-08-31 2010-08-24 Kla-Tencor Technologies Corp. Systems and method for simultaneously inspecting a specimen with two distinct channels
JP2009222689A (en) * 2008-03-19 2009-10-01 Nuflare Technology Inc Inspection apparatus
JP6861092B2 (en) * 2017-05-24 2021-04-21 株式会社カネカ Visual inspection method and visual inspection equipment for electronic components
JP7775799B2 (en) * 2022-08-31 2025-11-26 三菱電機株式会社 Semiconductor inspection equipment and semiconductor manufacturing equipment

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5767844A (en) * 1980-10-15 1982-04-24 Nippon Kogaku Kk <Nikon> Surface inspecting device
JPS58120106A (en) * 1982-01-12 1983-07-16 Hitachi Ltd Detecting device for focal point
JPS5977345A (en) * 1982-10-27 1984-05-02 Toshiba Corp Surface defect detecting method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009150725A (en) * 2007-12-19 2009-07-09 Hitachi High-Technologies Corp Defect inspection equipment

Also Published As

Publication number Publication date
JPS6129712A (en) 1986-02-10

Similar Documents

Publication Publication Date Title
JPS6129712A (en) Fine pattern defect detection method and device
US8228494B2 (en) Apparatus for inspecting defects
US7826047B2 (en) Apparatus and method for optical inspection
US8885037B2 (en) Defect inspection method and apparatus therefor
KR920007196B1 (en) Method and apparatus for detecting foreign matter
JP4001653B2 (en) Optical inspection of samples using multichannel response from the sample
JP2006220644A (en) Pattern inspection method and apparatus
JP2009281898A (en) Defect inspection method and apparatus for the same
WO2009032681A1 (en) Systems and method for simultaneously inspecting a specimen with two distinct channels
US20130063721A1 (en) Pattern inspection apparatus and method
JP3047646B2 (en) Defect detection method and device
JP5281741B2 (en) Defect inspection equipment
US7130036B1 (en) Methods and systems for inspection of an entire wafer surface using multiple detection channels
JP2010151824A (en) Method and apparatus for inspecting pattern
TW200839916A (en) Polarization imaging
JPS61104243A (en) Foreign object detection method and device
JP2004144764A (en) Defect inspection method and apparatus
JPH0868618A (en) Semiconductor device manufacturing system and manufacturing method
JP2007101401A (en) Visual examination device and method
JP3047881B2 (en) Semiconductor device manufacturing system and semiconductor device manufacturing method
JPH0329177B2 (en)
JPH01140047A (en) Method for detecting bulk particles in transparent thin film
JP3201396B2 (en) Method for manufacturing semiconductor device
JPH07159333A (en) Appearance inspection device and appearance inspection method
JPH1185997A (en) Image processing device