Further improvements to the ptychographical iterative engine
Further improvements to the ptychographical iterative engine
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DOI：
10.1364/optica.4.000736
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发表时间：
2017-07-20
期刊：
影响因子：
10.4
通讯作者：
Li, Peng
中科院分区：
文献类型：
--
作者：
Maiden, Andrew;Johnson, Daniel;Li, Peng
重叠关联成像是相位成像的一种形式，其使用迭代算法从一系列衍射图案重建样品的图像。它正在迅速发展成为一种主流技术，在一系列成像模式中的应用范围不断增加。随着该领域的发展，已经提出了许多重建算法，但早期的方法没有看到重大改进，仍然很受欢迎。在本文中，我们重新审视了第一个这样的算法，重叠关联迭代引擎（PIE），并展示了如何一个简单的修订和强大的扩展可以提供一个数量级的速度增加和处理困难的数据集，原始版本完全失败。
Ptychography is a form of phase imaging that uses iterative algorithms to reconstruct an image of a specimen from a series of diffraction patterns. It is swiftly developing into a mainstream technique, with a growing list of applications across a range of imaging modalities. As the field has advanced, numerous reconstruction algorithms have been proposed, yet the early approaches have not seen major improvement and remain popular. In this paper, we revisit the first such algorithm, the ptychographical iterative engine (PIE), and show how a simple revision and powerful extension can deliver an order of magnitude speed increase and handle difficult data sets where the original version fails completely.