The Influence and Compensation of Process on Measurement Accuracy in Digital Grating Focusing and Leveling Sensors

The digital grating focusing and leveling sensor is a kind of wafer height sensor for focus control in a lithography tool by measuring the displacement of an optical grating image reflected from the wafer surface. The process pattern on the wafer surface can significantly affect the measurement accuracy of the sensor. To mitigate this effect, the Criminisi algorithm for image processing is employed. First, process patterns in the optical grating image are identified and masked with a specific color-yellow in this paper. The Criminisi algorithm is then applied to recover the clear image in the masked region. To evaluate the algorithm performance, 50 masked images are recovered and compared with the original clear image where the mask ratios range from 1% to 15%. The experimental results indicate that the mean repair accuracy is below 1 nm after 10 repair iterations for a given mask ratio and the maximum error in a single repair is 68 nm across all 50 images.

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Publication Details

Journal
Micromachines
Published
2025-11-26
DOI
https://doi.org/10.3390/mi16121326
Primary Topic
Advancements in Photolithography Techniques
Type
article
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article

The Influence and Compensation of Process on Measurement Accuracy in Digital Grating Focusing and Leveling Sensors

Xianjie Li, Guannan He, Shiguang Li
Micromachines
Advancements in Photolithography Techniques
article

The Influence and Compensation of Process on Measurement Accuracy in Digital Grating Focusing and Leveling Sensors

Xianjie Li, Guannan He, Shiguang Li
article en

Abstract

The digital grating focusing and leveling sensor is a kind of wafer height sensor for focus control in a lithography tool by measuring the displacement of an optical grating image reflected from the wafer surface. The process pattern on the wafer surface can significantly affect the measurement accuracy of the sensor. To mitigate this effect, the Criminisi algorithm for image processing is employed. First, process patterns in the optical grating image are identified and masked with a specific color-yellow in this paper. The Criminisi algorithm is then applied to recover the clear image in the masked region. To evaluate the algorithm performance, 50 masked images are recovered and compared with the original clear image where the mask ratios range from 1% to 15%. The experimental results indicate that the mean repair accuracy is below 1 nm after 10 repair iterations for a given mask ratio and the maximum error in a single repair is 68 nm across all 50 images.

MicromachinesVol. 16(12)
Chinese Academy of Sciences (CN), Institute of Microelectronics (CN), Xuzhou Construction Machinery Group (China) (CN)
Openalex Percentile: Top 63%
Advancements in Photolithography Techniques
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