会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Methods and systems for improved localized feature quantification in surface metrology tools
    • 用于改进表面计量工具中局部特征量化的方法和系统
    • US08630479B2
    • 2014-01-14
    • US12986176
    • 2011-01-07
    • Haiguang ChenJaydeep SinhaShouhong TangJohn HagerAndrew ZengSergey Kamensky
    • Haiguang ChenJaydeep SinhaShouhong TangJohn HagerAndrew ZengSergey Kamensky
    • G06K9/00
    • G06T5/002G06T5/20G06T7/0004G06T2207/30148
    • A method for enabling more accurate measurements of localized features on wafers is disclosed. The method includes: a) performing high order surface fitting to more effectively remove the low frequency shape components and also to reduce possible signal attenuations commonly observed from SEMI standard high pass, such as Gaussian and Double Gaussian filtering; b) constructing and applying a proper two dimensional LFM window to the residual image from the surface fitting processing stage to effectively reduce the residual artifacts at the region boundaries; c) calculating the metrics of the region using the artifact-reduced image to obtain more accurate and reliable measurements; and d) using site-based metrics obtained from front and back surface data to quantify the features of interest. Additional steps may also include: filtering data from measurements of localized features on wafers and adjusting the filtering behavior according to the statistics of extreme data samples.
    • 公开了一种能够更精确地测量晶片上局部特征的方法。 该方法包括:a)执行高阶表面拟合,以更有效地去除低频形状分量,并减少通常从SEMI标准高通(如高斯和双高斯滤波)观察到的信号衰减; b)从表面拟合处理阶段构造和应用适当的二维LFM窗口到残余图像,以有效地减少区域边界处的残余伪像; c)使用伪影图像计算该区域的度量以获得更准确和可靠的测量; 以及d)使用从前面和背面数据获得的基于站点的度量来量化感兴趣的特征。 附加步骤还可以包括:根据晶片上局部特征的测量过滤数据,并根据极端数据样本的统计调整滤波行为。
    • 2. 发明申请
    • METHODS AND SYSTEMS FOR IMPROVED LOCALIZED FEATURE QUANTIFICATION IN SURFACE METROLOGY TOOLS
    • 用于改进表面计量工具中的本地化特征量化的方法和系统
    • US20120177282A1
    • 2012-07-12
    • US12986176
    • 2011-01-07
    • Haiguang ChenJaydeep SinhaShouhong TangJohn HagerAndrew ZengSergey Kamensky
    • Haiguang ChenJaydeep SinhaShouhong TangJohn HagerAndrew ZengSergey Kamensky
    • G06K9/00
    • G06T5/002G06T5/20G06T7/0004G06T2207/30148
    • A method for enabling more accurate measurements of localized features on wafers is disclosed. The method includes: a) performing high order surface fitting to more effectively remove the low frequency shape components and also to reduce possible signal attenuations commonly observed from filtering; b) constructing and applying a proper two dimensional LFM window to the residual image from the surface fitting processing stage to effectively reduce the residual artifacts at the region boundaries; c) calculating the metrics of the region using the artifact-reduced image to obtain more accurate and reliable measurements; and d) using site-based metrics obtained from front and back surface data to quantify the features of interest. A method for filtering data from measurements of localized features on wafers is disclosed. This method includes an algorithm designed to adjust the filtering behavior according to the statistics of extreme data samples.A method for utilizing the 2D window and the data filtering to yield a more robust and more accurate Localized Feature quantification methodology is disclosed.
    • 公开了一种能够更精确地测量晶片上局部特征的方法。 该方法包括:a)执行高阶表面拟合以更有效地去除低频形状分量,并且还可以减少通常从滤波观察到的可能的信号衰减; b)从表面拟合处理阶段构造和应用适当的二维LFM窗口到残余图像,以有效地减少区域边界处的残余伪像; c)使用伪影图像计算该区域的度量以获得更准确和可靠的测量; 以及d)使用从前面和背面数据获得的基于站点的度量来量化感兴趣的特征。 公开了一种用于从晶片上的局部特征的测量中滤出数据的方法。 该方法包括根据极端数据样本统计来调整过滤行为的算法。 公开了一种利用2D窗口和数据过滤产生更强大和更准确的局部特征量化方法的方法。
    • 10. 发明授权
    • Methods and systems for detection of selected defects particularly in relatively noisy inspection data
    • 用于检测选定缺陷的方法和系统,特别是在相对嘈杂的检查数据中
    • US07373277B1
    • 2008-05-13
    • US10858420
    • 2004-06-01
    • Sean WuHaiguang ChenMichael D. Kirk
    • Sean WuHaiguang ChenMichael D. Kirk
    • G06F11/30
    • G06T7/0006G01N21/8851G01N21/9501G06T2207/10056G06T2207/20061G06T2207/30148
    • Various methods and systems for detection of selected defects particularly in relatively noisy inspection data are provided. One method includes applying a spatial filter algorithm to raw inspection data acquired across an area on a substrate to determine a first portion of the raw inspection data that has a higher probability of being a selected type of defect than a second portion of the raw inspection data. The selected type of defect includes a non-point defect. The method also includes generating a raw two-dimensional map illustrating the first portion of the raw inspection data. In addition, the method includes searching the raw two-dimensional map for an event that has spatial characteristics that approximately match spatial characteristics of the selected type of defect. The method further includes determining if the event corresponds to a defect having the selected type.
    • 提供用于检测所选缺陷的各种方法和系统,特别是在相对嘈杂的检查数据中。 一种方法包括将空间滤波器算法应用于跨越衬底上的区域获取的原始检查数据,以确定原始检查数据的第一部分与原始检查数据的第二部分相比具有较高选择类型的缺陷概率 。 所选择的缺陷类型包括非点缺陷。 该方法还包括生成示出原始检查数据的第一部分的原始二维映射。 此外,该方法包括搜索原始二维地图中具有与所选择的缺陷类型的空间特征近似匹配的空间特征的事件。 该方法还包括确定事件是否对应于具有所选类型的缺陷。