Paper
10 May 2005 Advanced macro inspection provides data to address blister defects
Randy Smith, Sean M. Collins
Author Affiliations +
Abstract
This paper describes a method for automatically inspecting the top edge region of a wafer for defects and how this method was used to evaluate process improvements. The need for such an inspection was driven by a within wafer defect problem first seen on product. The root cause of the defect was found to be the redistribution of certain defect types from the wafer edge exclusion region into the product area. Process partition and manual inspection using a scanning electron microscope (SEM) revealed the mechanism to be the formation and rupture of blisters during part of the process sequence. These blisters were found to be as small as 2μm, and appeared along the top edge of wafers. During processing, a high percentage of these blisters would rupture and redeposit debris on the topside of the wafer resulting in nearly 100 percent kill rate. While the root cause was understood, the use of SEM inspection to quantifiably evaluate process improvements intended to reduce the edge defects was impractical. This was deemed impractical because of the large of the number of wafers required to generate meaningful statistics and the number of process options. Additionally, manual inspections used to count the number of defects were inconsistent as well as slow. An automated macro defect inspection system (August Technology AXi Series 930) was used in a novel way to enable fast, accurate, and repeatable defect counts from the wafer top edge to help determine the most appropriate process improvement.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Randy Smith and Sean M. Collins "Advanced macro inspection provides data to address blister defects", Proc. SPIE 5752, Metrology, Inspection, and Process Control for Microlithography XIX, (10 May 2005); https://doi.org/10.1117/12.620070
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CITATIONS
Cited by 2 scholarly publications and 1 patent.
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KEYWORDS
Inspection

Semiconducting wafers

Scanning electron microscopy

Defect inspection

Image processing

Wafer inspection

Defect detection

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