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Proceedings Paper

Automated Submicrometer Defect Detection During VLSI Circuit Production
Author(s): John R. Dralla; John C. Hoff; Andrew H. Lee
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Paper Abstract

Statistical monitoring and control procedures are essential components of VLSI manufacturing operations. Inspection of defects, measurement of critical dimensions and measurement of registration overlay are the traditional methods of monitoring and controlling a photolithography process. This paper will focus on one function of a fully automated inspection system being developed by OSI; the automated detection of defects on multilayer patterned wafers with textured thin films. A system architecture is described consisting of integrated mechanical, electrical, optical and software components that have been tailored to the inspection of semiconductor device micropatterns. A brief review of vision algorithms is presented along with a comparison of the template matching approach and a new method introduced by OSI. The discussion includes the effects of normal process variations and texture of device patterns on defect detection and false defect rates. Finally, the paper will describe the methods in which the data is analyzed and presented to production personnel to establish a rapid means of monitoring and controlling the photolithography process.

Paper Details

Date Published: 17 April 1987
PDF: 8 pages
Proc. SPIE 0775, Integrated Circuit Metrology, Inspection, & Process Control, (17 April 1987); doi: 10.1117/12.940431
Show Author Affiliations
John R. Dralla, Optical Specialties, Inc. (United States)
John C. Hoff, Optical Specialties, Inc. (United States)
Andrew H. Lee, Optical Specialties, Inc. (United States)


Published in SPIE Proceedings Vol. 0775:
Integrated Circuit Metrology, Inspection, & Process Control
Kevin M. Monahan, Editor(s)

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