光学
数值孔径
像素
显微镜
物理
分辨率(逻辑)
超分辨率
单发
图像分辨率
合成孔径雷达
焦点
视野
材料科学
计算机科学
波长
基点
图像(数学)
计算机视觉
人工智能
作者
Lieyu Chen,Wenwei liu,Zhancheng Li,Yuebian Zhang,Hua Cheng,Jianguo Tian,Shuqi Chen
出处
期刊:Optics Letters
[The Optical Society]
日期:2024-02-23
卷期号:49 (7): 1640-1640
摘要
The development of super-oscillatory lens (SOL) offers opportunities to realize far-field label-free super-resolution microscopy. Most microscopes based on a high numerical aperture (NA) SOL operate in the point-by-point scanning mode, resulting in a slow imaging speed. Here, we propose a high-NA metalens operating in the single-shot wide-field mode to achieve real-time super-resolution imaging. An optimization model based on the exhaustion algorithm and angular spectrum (AS) theory is developed for metalens design. We numerically demonstrate that the optimized metalens with an NA of 0.8 realizes the imaging resolution (imaging pixel size) about 0.85 times the Rayleigh criterion. The metalens can achieve super-resolution imaging of an object with over 200 pixels, which is one order of magnitude higher than the unoptimized metalens. Our method provides an avenue toward single-shot far-field label-free super-resolution imaging for applications such as real-time imaging of living cells and temporally moving particles.
科研通智能强力驱动
Strongly Powered by AbleSci AI