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Sharpness-statistics-based auto-focusing algorithm for optical ptychography

delete2020-05-01
delete23
PRE
AI
R
Rui Ma
D
Dongyu Yang
于涛 cover
于涛 (Tao Yu)
T
Tuo Li
X
Xinkai Sun
Y
Yupeng Zhu
N
Na Yang
H
Huaying Wang
史祎诗 cover
史祎诗 (Yishi Shi) *
DOI:10.1016/j.optlaseng.2020.106053delete
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Abstract

Abstract

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.
Keywords:
Optical ptychography
Auto-focusing algorithm
Microscopy
Experiment
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Journal

Optics and Lasers in Engineering cover
Optics and Lasers in Engineering
IF:
3.7
Papers:
7.2K
Citations:
1.7W

Organization

U
university of chinese academy of sciences, cas
Scholars:
4.1W
Papers: 3.8W
Citations: 75
C
chinese academy of sciences
Scholars:
56.5W
Papers: 44.9W
Citations: 704