Paper
1 November 2021 Auto-focusing of ultra-clean sample based on projection view method
Author Affiliations +
Proceedings Volume 12057, Twelfth International Conference on Information Optics and Photonics; 1205738 (2021) https://doi.org/10.1117/12.2606335
Event: Twelfth International Conference on Information Optics and Photonics, 2021, Xi'an, China
Abstract
Auto-focusing methods, including infrared ranging, laser triangulation, ultrasound distance measurement, contrast detection, phase detection, depth from defocus, and depth from focus, are widely applied in laser direct writing system. Concurrently, the samples with an ultra-clean surface may cause the focusing to fail. This paper presents a method based on projection view to solve the auto-focusing problem of ultra-clean sample. A projection view in the Koller illumination path, is projected to the focal plane of the objective lens. One can, use the image of projection view in the charge coupled device (CCD) to evaluate the image definition so as to conduct a fast and accurate auto-focusing. A gray variance fusion model used for focusing accuracy evaluation is proposed. The robustness and accuracy of the auto-focusing are measured experimentally. The influencing factors including illumination condition and sample materials are analyzed. This method is useful for auto-focusing of ultra-clean samples.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xing Liu, Guodong Chen, Jinlun Zheng, and Jingsong Wei "Auto-focusing of ultra-clean sample based on projection view method", Proc. SPIE 12057, Twelfth International Conference on Information Optics and Photonics, 1205738 (1 November 2021); https://doi.org/10.1117/12.2606335
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KEYWORDS
Image analysis

Image fusion

Objectives

Error analysis

Image quality

Charge-coupled devices

Photoresist materials

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