Invention Grant
US09293298B2 Defect discovery and inspection sensitivity optimization using automated classification of corresponding electron beam images 有权
使用自动分类对应的电子束图像的缺陷发现和检测灵敏度优化

  • Patent Title: Defect discovery and inspection sensitivity optimization using automated classification of corresponding electron beam images
  • Patent Title (中): 使用自动分类对应的电子束图像的缺陷发现和检测灵敏度优化
  • Application No.: US14528941
    Application Date: 2014-10-30
  • Publication No.: US09293298B2
    Publication Date: 2016-03-22
  • Inventor: Jan A. Lauber
  • Applicant: KLA-Tencor Corporation
  • Applicant Address: US CA Milpitas
  • Assignee: KLA-Tencor Corp.
  • Current Assignee: KLA-Tencor Corp.
  • Current Assignee Address: US CA Milpitas
  • Agent Ann Marie Mewherter
  • Main IPC: H01J37/26
  • IPC: H01J37/26 G01N23/22 G01N23/00 G01N21/00
Defect discovery and inspection sensitivity optimization using automated classification of corresponding electron beam images
Abstract:
Various embodiments for classifying defects detected on a wafer are provided. One method includes acquiring an electron beam image generated by a defect review tool for a location of a defect detected on a wafer by a wafer inspection tool. The method also includes determining a classification of the defect based on at least the electron beam image and without input from a user. The method may also include feeding back the classification results to the wafer inspection tool and optimizing the parameters of the tool to maximize sensitivity to the defects of interest.
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