返回
Sharpness-statistics-based auto-focusing algorithm for optical ptychography
DOI:10.1016/j.optlaseng.2020.106053.png)
摘要
En 中文
In ptychography, the precise diffraction distance is critical to recover the object with high quality. An auto-focus algorithm is proposed which consists of a rough focusing step and a fine focusing step. These two steps make the sharpness statistics for the amplitude reconstructed from a single diffraction pattern and the amplitude retrieved with extended ptychographic iterative engine, respectively. Through the two focusing steps, the precise focal length is achievable at visible light wavelength. By using the refocused diffraction distance, we can acquire the ptychographic retrieved object with improved quality and resolution. The proposed algorithm has been verified by computer simulations and optical experiments, both in the ptychographic imaging of biological samples and the ptychographic microscopy of resolution targets.
Keyword:
Optical ptychography
Auto-focusing algorithm
Microscopy
Experiment
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.7
论文数:
7.3K
被引数:
1.7W
机构
引用论文
Electronic and optoelectronic properties of van der Waals heterostructure based on graphene-like GaN, blue phosphorene, SiC, and ZnO: A first principles study基于类石墨烯GaN,蓝色磷烯,SiC和ZnO的范德华异质结构的电子和光电性质: 第一性原理研究
Ptychographic electron microscopy using high-angle dark-field scattering for sub-nanometre resolution imaging
NATURE COMMUNICATIONS
IF15.7

