Jiangnan University, School of Science, Computational Optics Laboratory, Wuxi, China.
Chinese Academy of Sciences, Shanghai Institute of Optics and Fine Mechanics, Shanghai, China.
J Biomed Opt. 2018 Feb;23(2):1-8. doi: 10.1117/1.JBO.23.2.026007.
A variable aperture-based ptychographical iterative engine (vaPIE) is demonstrated both numerically and experimentally to reconstruct the sample phase and amplitude rapidly. By adjusting the size of a tiny aperture under the illumination of a parallel light beam to change the illumination on the sample step by step and recording the corresponding diffraction patterns sequentially, both the sample phase and amplitude can be faithfully reconstructed with a modified ptychographical iterative engine (PIE) algorithm. Since many fewer diffraction patterns are required than in common PIE and the shape, the size, and the position of the aperture need not to be known exactly, this proposed vaPIE method remarkably reduces the data acquisition time and makes PIE less dependent on the mechanical accuracy of the translation stage; therefore, the proposed technique can be potentially applied for various scientific researches.
一种基于可变孔径的叠层相位恢复迭代引擎（vaPIE）在数值和实验上均得到了验证，可实现对样品相位和幅度的快速重建。通过在平行光束的照射下调整小孔的尺寸，逐步改变对样品的照明，并依次记录相应的衍射图案，利用改进的叠层相位恢复迭代引擎（PIE）算法，可以精确地重建样品的相位和幅度。与传统的 PIE 相比，该方法所需的衍射图案数量要少得多，并且由于不需要精确地知道孔径的形状、大小和位置，因此大大缩短了数据采集时间，降低了对平移台机械精度的依赖性；因此，该技术可潜在地应用于各种科学研究。
