https://scholars.lib.ntu.edu.tw/handle/123456789/638143
標題: | Intelligent Phase Contrast Meta-Microscope System | 作者: | Chu, Cheng Hung Chia, Yu-Hsin Hsu, Hung-Chuan Vyas, Sunil Tsai, Chen-Ming Yamaguchi, Takeshi Tanaka, Takuo HUEI-WEN CHEN YUAN LUO PAN-CHYR YANG Tsai, Din Ping |
關鍵字: | deep learning; edge detection; metasurface; phase contrast imaging | 公開日期: | 1-十二月-2023 | 出版社: | American Chemical Society | 卷: | 23 | 期: | 24 | 起(迄)頁: | 11630-11637 | 來源出版物: | Nano Letters | 摘要: | Phase contrast imaging techniques enable the visualization of disparities in the refractive index among various materials. However, these techniques usually come with a cost: the need for bulky, inflexible, and complicated configurations. Here, we propose and experimentally demonstrate an ultracompact meta-microscope, a novel imaging platform designed to accomplish both optical and digital phase contrast imaging. The optical phase contrast imaging system is composed of a pair of metalenses and an intermediate spiral phase metasurface located at the Fourier plane. The performance of the system in generating edge-enhanced images is validated by imaging a variety of human cells, including lung cell lines BEAS-2B, CLY1, and H1299 and other types. Additionally, we integrate the ResNet deep learning model into the meta-microscope to transform bright-field images into edge-enhanced images with high contrast accuracy. This technology promises to aid in the development of innovative miniature optical systems for biomedical and clinical applications. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/638143 | ISSN: | 15306984 | DOI: | 10.1021/acs.nanolett.3c03484 |
顯示於: | 醫療器材與醫學影像研究所 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。