Paper
1 July 1991 Applications of an automated particle detection and identification system in VLSI wafer processing
Takeshi Hattori, Sakuo Koyata
Author Affiliations +
Abstract
Identifying particulate sources at an intermediate stage in the VLSI manufacturing process is frequently indispensable for taking the appropriate corrective action, and thereby enhancing device yield. To rapidly locate and analyze both organic and inorganic particles on a large silicon wafer, the authors have developed an automated wafer-surface particle detection and identification system that consists of a laser-scanning wafer inspection unit, an SEM/EDX unit, a microfluorescence spectroscopy unit, and a computing unit for file conversion and XY-coordinate transformation. Examples of successful applications of a particle inspection and analysis program using this new system in VLSI wafer processing are presented. With emphasis on photolithography and the subsequent processes such as ion implantation and dry etching.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Takeshi Hattori and Sakuo Koyata "Applications of an automated particle detection and identification system in VLSI wafer processing", Proc. SPIE 1464, Integrated Circuit Metrology, Inspection, and Process Control V, (1 July 1991); https://doi.org/10.1117/12.44449
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Cited by 8 scholarly publications.
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KEYWORDS
Particles

Semiconducting wafers

Photoresist materials

Very large scale integration

Inspection

Contamination

System identification

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