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公开(公告)号:US10600177B2
公开(公告)日:2020-03-24
申请号:US15858511
申请日:2017-12-29
Applicant: KLA-Tencor Corporation
Inventor: Bjorn Brauer , Junqing Huang , Lisheng Gao
Abstract: Methods and systems are disclosed that provide nuisance reduction in images, such as semiconductor images that include one or more metal lines. A potential defect is correlated against pixel grey level intensity charts for two perpendicular axes. A position of the potential defect relative to a pattern, such as a metal line, is determined along the two axes. The potential defect can be classified as a defect of interest or nuisance event.
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公开(公告)号:US20190279357A1
公开(公告)日:2019-09-12
申请号:US16293599
申请日:2019-03-05
Applicant: KLA-Tencor Corporation
Inventor: Jingshan Zhong , Bjorn Brauer , Lisheng Gao
Abstract: Methods and systems for determining a layer on which a defect detected on a wafer is located are provided. One method includes detecting defects on a wafer by directing light to the wafer at first and second angles of incidence and determining locations of the defects on the wafer based on the output corresponding to the defects. For one of the defects detected in the output generated for one spot illuminated on the wafer with the light directed to the wafer at the first and second angles, the method includes comparing the locations of the one of the defects determined based on the output generated with the light directed to the one spot on the wafer at the first and second angles. The method further includes determining a layer of the wafer on which the one of the defects is located based on results of the comparing.
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3.
公开(公告)号:US10410338B2
公开(公告)日:2019-09-10
申请号:US14506407
申请日:2014-10-03
Applicant: KLA-Tencor Corporation
Inventor: Hucheng Lee , Lisheng Gao , Jan Lauber , Yong Zhang
Abstract: The correlation of optical images with SEM images includes acquiring a full optical image of a sample by scanning the sample with an optical inspection sub-system, storing the full optical image, identifying a location of a feature-of-interest present in the full optical image with an additional sources, acquiring an SEM image of a portion of the sample that includes the feature at the identified location with a SEM tool, acquiring an optical image portion at the location identified by the additional source, the image portions including a reference structure, correlating the image portion and the SEM image based on the presence of the feature-of-interest and the reference structure in both the image portions and the SEM image, and transferring a location of the feature-of-interest in the SEM image into the coordinate system of the image portion of the full optical image to form a corrected optical image.
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4.
公开(公告)号:US10324046B1
公开(公告)日:2019-06-18
申请号:US15241005
申请日:2016-08-18
Applicant: KLA-Tencor Corporation
Inventor: Tao-Yi Fu , Steve Lange , Lisheng Gao , Xuguang Jiang , Ping Gu , Sylvain Muckenhirn
Abstract: Methods and systems for monitoring a non-defect related characteristic of a patterned wafer are provided. One computer-implemented method includes generating output responsive to light from a patterned wafer using an inspection system. The method also includes determining differences between a value of a non-defect related characteristic of the patterned wafer and a known value of the non-defect related characteristic based on differences between one or more attributes of the output and one or more attributes of other output of the inspection system for a different patterned wafer having the known value of the non-defect related characteristic.
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公开(公告)号:US09915625B2
公开(公告)日:2018-03-13
申请号:US15391753
申请日:2016-12-27
Applicant: KLA-Tencor Corporation
Inventor: Lisheng Gao , Tao Luo , Keith Wells , Xiaochun Li
IPC: G01N21/95 , G01N21/956 , G06T7/00
CPC classification number: G01N21/95607 , G01N21/9501 , G01N2201/12 , G06T7/001 , G06T2207/20084 , G06T2207/30148
Abstract: Methods and systems for detecting defects on a wafer are provided. One system includes one or more computer subsystems configured for generating a rendered image based on information for a design printed on the wafer. The rendered image is a simulation of an image generated by an optical inspection subsystem for the design printed on the wafer. Generating the rendered image includes one or more steps, and the computer subsystem(s) are configured for performing at least one of the one or more steps by executing a generative model. The computer subsystem(s)) are also configured for comparing the rendered image to an optical image of the wafer generated by the optical inspection subsystem. The design is printed on the wafer using a reticle. In addition, the computer subsystem(s) are configured for detecting defects on the wafer based on results of the comparing.
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公开(公告)号:US09726617B2
公开(公告)日:2017-08-08
申请号:US14075488
申请日:2013-11-08
Applicant: KLA-Tencor Corporation
Inventor: Pavel Kolchin , Richard Wallingford , Lisheng Gao , Grace H. Chen , Markus B. Huber , Robert M. Danen
IPC: G01N21/95
CPC classification number: G01N21/9501
Abstract: Disclosed are methods and apparatus for optimizing a mode of an inspection tool. A first image or signal for each of a plurality of first apertures of the inspection tool is obtained, and each first image or signal pertains to a defect area. For each of a plurality of combinations of the first apertures and their first images or signals, a composite image or signal is obtained. Each composite image or signal is analyzed to determine an optimum one of the combinations of the first apertures based on a defect detection characteristic of each composite image.
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公开(公告)号:US09619876B2
公开(公告)日:2017-04-11
申请号:US13796955
申请日:2013-03-12
Applicant: KLA-Tencor Corporation
Inventor: Junqing Huang , Lisheng Gao
IPC: G06K9/00 , G06T7/00 , G01N21/95 , G01N21/956 , G01N21/88
CPC classification number: G06T7/0004 , G01N21/88 , G01N21/8803 , G01N21/9501 , G01N21/956 , G01N21/95607 , G01N2021/8825 , G06T7/0002 , G06T7/001 , G06T2207/10061 , G06T2207/20076 , G06T2207/30148
Abstract: Methods and systems for detecting defects on a wafer are provided. One method includes determining difference values for pixels in first output for a wafer generated using a first optics mode of an inspection system and determining other values for pixels in second output for the wafer generated using a second optics mode of the inspection system. The first and second optics modes are different from each other. The method also includes generating a two-dimensional scatter plot of the difference values and the other values for the pixels in the first and second output corresponding to substantially the same locations on the wafer. The method further includes detecting defects on the wafer based on the two-dimensional scatter plot.
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公开(公告)号:US20170091925A1
公开(公告)日:2017-03-30
申请号:US15376486
申请日:2016-12-12
Applicant: KLA-Tencor Corporation
Inventor: Kenong Wu , Lisheng Gao , Grace Hsiu-Ling Chen , David W. Shortt
IPC: G06T7/00 , G01N21/88 , G01N21/956 , G01N21/95
CPC classification number: G06T7/0008 , G01N21/8806 , G01N21/8851 , G01N21/9501 , G01N21/956 , G01N2021/8822 , G01N2021/8848 , G06T7/001 , G06T2207/30148 , H01L22/12 , H01L22/34
Abstract: Methods and systems for detecting defects on a wafer using defect-specific and multi-channel information are provided. One method includes acquiring information for a target on a wafer. The target includes a pattern of interest (POI) formed on the wafer and a known defect of interest (DOI) occurring proximate to or in the POI. The method also includes detecting the known DOI in target candidates by identifying potential DOI locations based on images of the target candidates acquired by a first channel of an inspection system and applying one or more detection parameters to images of the potential DOI locations acquired by a second channel of the inspection system. Therefore, the image(s) used for locating potential DOI locations and the image(s) used for detecting defects can be different.
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9.
公开(公告)号:US09563943B2
公开(公告)日:2017-02-07
申请号:US15092510
申请日:2016-04-06
Applicant: KLA-Tencor Corporation
Inventor: Satya Kurada , Raghav Babulnath , Kwok Ng , Lisheng Gao
IPC: G06K9/00 , G06T7/00 , G01N21/956 , G01N21/95
CPC classification number: G06T7/0006 , G01N21/9501 , G01N21/956 , G01N21/95607 , G01N2021/95676 , G01N2201/06113 , G01N2201/068 , G01N2201/10 , G01N2201/12 , G06K9/00 , G06K9/66 , G06T7/0008 , G06T7/001 , G06T2207/20081 , G06T2207/30148
Abstract: Methods and systems for design based sampling and binning for yield critical defects are provided. One method includes aligning each image patch in each inspection image frame generated for a wafer by an optical subsystem of an inspection system to design information for the wafer. The method also includes deriving multiple layer design attributes at locations of defects detected in the image patches. In addition, the method includes building a decision tree with the multiple layer design attributes. The decision tree is used to separate the defects into bins with different yield impacts on a device being formed on the wafer. The method also includes binning the defects with the decision tree.
Abstract translation: 提供了用于产量关键缺陷的基于设计的抽样和装箱的方法和系统。 一种方法包括通过检查系统的光学子系统对于为晶片生成的每个检查图像帧中的每个图像补片进行对准以设计晶片的信息。 该方法还包括在图像斑块中检测到的缺陷位置导出多层设计属性。 另外,该方法包括使用多层设计属性构建决策树。 决策树用于将缺陷分离成对晶片上形成的器件产生不同产量的影响。 该方法还包括使用决策树将缺陷合并。
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10.
公开(公告)号:US09310320B2
公开(公告)日:2016-04-12
申请号:US14251415
申请日:2014-04-11
Applicant: KLA-Tencor Corporation
Inventor: Satya Kurada , Raghav Babulnath , Kwok Ng , Lisheng Gao
IPC: G06K9/00 , G01N21/956 , G06T7/00 , G01N21/95
CPC classification number: G06T7/0006 , G01N21/9501 , G01N21/956 , G01N21/95607 , G01N2021/95676 , G01N2201/06113 , G01N2201/068 , G01N2201/10 , G01N2201/12 , G06K9/00 , G06K9/66 , G06T7/0008 , G06T7/001 , G06T2207/20081 , G06T2207/30148
Abstract: Methods and systems for design based sampling and binning for yield critical defects are provided. One method includes aligning each image patch in each inspection image frame generated for a wafer by an optical subsystem of an inspection system to design information for the wafer. The method also includes deriving multiple layer design attributes at locations of defects detected in the image patches. In addition, the method includes building a decision tree with the multiple layer design attributes. The decision tree is used to separate the defects into bins with different yield impacts on a device being formed on the wafer. The method also includes binning the defects with the decision tree.
Abstract translation: 提供了用于产量关键缺陷的基于设计的抽样和装箱的方法和系统。 一种方法包括通过检查系统的光学子系统对于为晶片生成的每个检查图像帧中的每个图像补片进行对准以设计晶片的信息。 该方法还包括在图像斑块中检测到的缺陷位置导出多层设计属性。 另外,该方法包括使用多层设计属性构建决策树。 决策树用于将缺陷分离成对晶片上形成的器件产生不同产量的影响。 该方法还包括使用决策树将缺陷合并。
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