光学
计算机科学
带宽(计算)
混叠
采样(信号处理)
瞳孔功能
点扩散函数
算法
傅里叶变换
对角线的
物理
人工智能
数学
衍射
电信
数学分析
探测器
欠采样
几何学
作者
Yutong Li,Wen Xiu,Ming Sun,Xiangyan Zhou,Yu Ji,Guancheng Huang,Keya Zhou,Shutian Liu,Zhengjun Liu
摘要
Annular-illumination quantitative phase imaging based on space-domain Kramers–Kronig relations (AIKK) is a newly developed technique that is object-independent and non-iterative reconstructed inherently. Only capturing four low-resolution images, the AIKK system gains a resolution enhancement of nearly twofold. Under matching constraints between the illumination wave vector and pupil function aperture, we set a spectrum sampling criterion and establish a spectrum effective utilization model to search for the optimal solution of spectrum distribution for the specific annular structure. In view of the square spectrum structure, a diagonal-expanded sampling based AIKK method (DES-AIKK) is presented to get rid of the pixel aliasing problem. It is worth noting that the space–bandwidth–time product (SBP-T) further increases to 439.51 megapixels (1.8× of AIKK). Our work provides the guidelines and insights for designing the most suitable AIKK platform for high-throughput microscopic applications in pathology and real-time dynamic observation.
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