Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Guo-Hao Lu"'
Autor:
Kai-Hao Chang, Yen-Chun Chen, Yo-Song Huang, Wei-Lun Hsu, Guo-Hao Lu, Chao-Feng Liu, Chun-Jen Weng, Yu-Hsin Lin, Che-Chin Chen, Chien-Chieh Lee, Yu-Chi Chang, Po-Hsiang Wang, Chih-Ming Wang
Publikováno v:
Nanophotonics. 12:1309-1315
In this study, an axicon metalens comprising a large central disc surrounded by nanoposts for energy harvesting in composite metal-oxide semiconductor sensors was designed, fabricated, and experimentally characterized. The main role of the central di
Autor:
Pee-Yew Lee, Chun-Jen Weng, Hung Ji Huang, Li-Yan Wu, Guo-Hao Lu, Chao-Feng Liu, Cheng-You Chen, Ting-Yu Li, Yung-Sheng Lin
Publikováno v:
Journal of Manufacturing Science and Engineering. 145
Micro/nano-textured Si wafers manufactured using metal-assisted chemical etching (MACE) have been the focus of several studies, but the mechanism of bubble generation during the MACE process affecting textured surfaces has rarely been reported. This
Autor:
Jing-Feng Weng, Yen-Chung Wang, Yu-Hsin Lin, Guo-Hao Lu, Chao-Feng Liu, Po-Hsun Wu, Pi-Ying Cheng, Chun-Jen Weng, Ting-Ting Chang
Publikováno v:
Applications of Digital Image Processing XLIV.
This study proposes a novel passive auto-focusing algorithm which is applied in the optical microscope. The main core of the proposed auto-focusing algorithm is the weight distribution of Gaussian pyramid and the zero weight values in the designed me
Publikováno v:
2020 Opto-Electronics and Communications Conference (OECC).
In the non-contact optical measurement techniques, the depth of field limits the range of the measurement. If the step height sample is out of the depth of field, and it will cause the measurement to fail. In this study, the proposed integration fram
Autor:
Hsiao-Chun Ting, Jing-Feng Weng, Chao-Feng Liu, Robbie Vincke, Chun-Jen Weng, Ting-Ting Chang, Yu-Hsin Lin, Guo-Hao Lu
Publikováno v:
Optics Express. 29:10285
This paper presents a passive autofocus algorithm applicable to interferometric microscopes. The proposed algorithm uses the number of slope variations in an image mask to locate the focal plane (based on focus-inflection points) and identify the two
Publikováno v:
Applied Mathematics and Mechanics; July 1993, Vol. 14 Issue: 7 p677-683, 7p