D
Din Ping Tsai
Researcher at Hong Kong Polytechnic University
Publications - 572
Citations - 22884
Din Ping Tsai is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Metamaterial & Plasmon. The author has an hindex of 65, co-authored 532 publications receiving 18101 citations. Previous affiliations of Din Ping Tsai include University of Toronto & Industrial Technology Research Institute.
Papers
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Proceedings ArticleDOI
Simplified algorithm of ionizing radiation detecting based on image sensor
Tai-Shan Liao,Chi-Chieh Wu,Chih-Chung Chou,Chi-Hung Hwang,Tang Ya-Wen,Din Ping Tsai,Tzung Yuang Chen +6 more
TL;DR: Although the CMOS image sensor of a smartphone cannot be used to measure background radiation, it enables the convenient detection of ionizing radiation exceeding 10 μSv/h.
Patent
Measurement system for gamma ray dose rate
TL;DR: In this paper, a measurement system for gamma ray dose rate that increases convenience in use is proposed, which includes a detection module, an image analysis module, and a display module.
Proceedings ArticleDOI
Meta-Device for Photonics in Demand
Pin Chieh Wu,Cheng Hung Chu,Mu Ku Chen,Shuming Wang,Hsin Yu Kuo,Ming Lun Tseng,Wei-Yi Tsai,Yu Han Chen,Ren Jie Lin,Tsung Lin Chung,Tao Li,Shining Zhu,Din Ping Tsai +12 more
TL;DR: In this paper, several metasurface based components for photonic applications are discussed, including versatile polarization control, pixel-scale metalens, and achromatic meta-devices.
Proceedings ArticleDOI
Enhanced resolution with metallic nanoparticle clusters
Wei Chih Liu,Din Ping Tsai +1 more
TL;DR: In this article, the super-resolution property of the AgOx-type superresolution near-field structure was investigated and simulations and near field measurements indicated that collective surface plasmons of silver nanoparticle clusters resulted in the super resolution property.
Proceedings ArticleDOI
Metalens for light field imaging
Cheng Hung Chu,Mu Ku Chen,Hsin Yu Kuo,Ren Jie Lin,Shuming Wang,Vincent Yi Fong Su,Tsung Lin Chung,Jia-Wern Chen,Yi Teng Huang,Pin Chieh Wu,Tao Li,Shining Zhu,Din Ping Tsai +12 more
TL;DR: In this paper, a 60 × 60 dielectric achromatic metalens array was used to capture multidimensional optical information including both image and depth, and the scene can be reconstructed slice by slice from a series of rendered full-color images.