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Production use of an integrated automatic defect classification (ADC) system operating in a laser confocal/white light imaging defect review station

机译:在激光共焦/白光成像缺陷检查站中运行的集成自动缺陷分类(ADC)系统的生产使用

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This paper reports results obtained using a fully automatic defect classification package integrated in the system processor of a Laser Confocal/White Light Defect Review Tool. This system classifies defects utilizing algorithms which automatically load a cassette of wafers previously scanned by an Automatic Defect Inspection tool (ADI), aligns the wafers, and image processes to re-detect the defect. The defect region image is then analyzed for its characterization content, and the results matched with a data base of previously stored examples. System calibration is performed by presenting the system with a series of examples of each type of defect, and is edited with on-line tools provided for that purpose. We report results using the system in a production environment on a series of process levels. This effort is primarily with wafers containing logic circuitry (nonrepeating pattern). Accuracy obtained with white light only imaging is reported, as are improvements when laser confocal imaging (3-D, enhanced resolution) is added. We report also studies of optical and mechanical components of the microscope system which are critical to automatic guidelines for implementation of ADC in the production environment.
机译:本文报告了使用集成在激光共焦/白光缺陷审查工具的系统处理器中的全自动缺陷分类包获得的结果。该系统通过自动加载先前由自动缺陷检测工具(ADI)扫描的晶片自动加载纸盒的算法来对缺陷进行分类,使晶片和图像处理对准以重新检测缺陷。然后分析缺陷区域图像的表征内容,结果与先前存储的示例的数据库匹配。通过用每种类型的缺陷的一系列示例呈现系统来执行系统校准,并通过为此目的提供的在线工具编辑。我们向一系列过程级别的生产环境中的系统报告结果。这项努力主要是包含逻辑电路的晶片(非豁免模式)。报告使用白光成像获得的精度,因为当添加激光共焦成像(3-D增强的分辨率)时,改善。我们还报告了显微镜系统的光学和机械部件的研究,这对于在生产环境中实现ADC的自动准则至关重要。

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