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    • 9. 发明授权
    • Detecting surface pits
    • 检测表面凹坑
    • US07295300B1
    • 2007-11-13
    • US11237257
    • 2005-09-28
    • Laurie BechtlerVamsi VelidandlaSteven W. Meeks
    • Laurie BechtlerVamsi VelidandlaSteven W. Meeks
    • G01N21/00
    • G01N21/9501G01N21/94G01N21/9503G01N2021/218
    • A system to detect pits in a surface comprises first and second radiation targeting assemblies to target a second radiation beam onto a surface, a first radiation collecting assembly that collects radiation scattered from the surface, a processor coupled to the first radiation collecting assembly, a memory module coupled to the processor and comprising logic instructions which, when executed by the processor, configure the processor to generate a first signal from radiation scattered from the first radiation beam, generate a second signal from radiation scattered from the second radiation beam, record the first signal and the second signal at an array of different positions on the surface, calculate a median value for the first signal and the second signal over the array of different positions on the surface, and use the first signal, the second signal, and the median value to detect pits in the surface.
    • 用于检测表面中的凹坑的系统包括将第二辐射束瞄准到表面上的第一和第二辐射瞄准组件,收集从表面散射的辐射的第一辐射收集组件,耦合到第一辐射收集组件的处理器,存储器 模块,其耦合到所述处理器并且包括逻辑指令,所述逻辑指令在被所述处理器执行时配置所述处理器以从所述第一辐射束散射的辐射生成第一信号,从所述第二辐射束散射的辐射产生第二信号, 信号和表面上不同位置的阵列上的第二信号,计算表面上不同位置阵列上的第一信号和第二信号的中值,并使用第一信号,第二信号和中值 值以检测表面中的凹坑。
    • 10. 发明授权
    • System and method for classifying, detecting, and counting micropipes
    • 微孔分类,检测和计数的系统和方法
    • US07201799B1
    • 2007-04-10
    • US10997328
    • 2004-11-24
    • Vamsi Velidandla
    • Vamsi Velidandla
    • C30B25/12
    • C30B29/36C30B25/16
    • An automated, non-invasive method for classifying, detecting, and counting micropipes contained within silicon wafers, and generally any assortment of transparent wafers. Classifying, detecting, and counting micropipes takes place through the use of a data processing algorithm that incorporates information regarding: defect size; pit signature; area of pit signature when comparing a topography, specular, or scatter images; and detecting a tail within the standard pit signature. The method of the present invention teaches the development of a topography defect map, specular defect map, and scatter defect map for a complete analysis of the surface of a particular transparent wafer. Conventional detection, classification, and counting of micropipes involve characterization of micropipes in a manual fashion and rely upon an extremely invasive form of sample preparation. The method disclosed in the present invention is completely automated and non-invasive with regards to the treatment of the transparent wafer to be analyzed.
    • 一种用于分类,检测和计数硅晶片内的微孔以及通常各种透明晶片的自动化非侵入性方法。 通过使用包含以下信息的数据处理算法进行分类,检测和计数微孔:缺陷尺寸; 坑签名; 比较地形,镜面或散射图像时的坑签名区域; 并检测标准坑签名内的尾部。 本发明的方法教导了用于完整分析特定透明晶片的表面的形貌缺陷图,镜面缺陷图和散射缺陷图。 微管的常规检测,分类和计数涉及以手动方式表征微管,并且依赖于极其侵入性的样品制备形式。 关于待分析透明晶片的处理,本发明公开的方法是完全自动化且非侵入性的。