Ning Shoucong, Xu Wenhui, Loh Leyi, Lu Zhen, Bosman Michel, Zhang Fucai, He Qian
Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore.
Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China; Harbin Institute of Technology, Harbin 150001, China.
Ultramicroscopy. 2023 Jun;248:113716. doi: 10.1016/j.ultramic.2023.113716. Epub 2023 Mar 12.
Correcting scan-positional errors is critical in achieving electron ptychography with both high resolution and high precision. This is a demanding and challenging task due to the sheer number of parameters that need to be optimized. For atomic-resolution ptychographic reconstructions, we found classical refining methods for scan positions not satisfactory due to the inherent entanglement between the object and scan positions, which can produce systematic errors in the results. Here, we propose a new protocol consisting of a series of constrained gradient descent (CGD) methods to achieve better recovery of scan positions. The central idea of these CGD methods is to utilize a priori knowledge about the nature of STEM experiments and add necessary constraints to isolate different types of scan positional errors during the iterative reconstruction process. Each constraint will be introduced with the help of simulated 4D-STEM datasets with known positional errors. Then the integrated constrained gradient decent (iCGD) protocol will be demonstrated using an experimental 4D-STEM dataset of the 1H-MoS monolayer. We will show that the iCGD protocol can effectively address the errors of scan positions across the spectrum and help to achieve electron ptychography with high accuracy and precision.
校正扫描位置误差对于实现高分辨率和高精度的电子叠层成像至关重要。由于需要优化的参数数量众多,这是一项艰巨且具有挑战性的任务。对于原子分辨率的叠层成像重建,我们发现传统的扫描位置优化方法并不令人满意,因为物体和扫描位置之间存在固有的纠缠,这可能会在结果中产生系统误差。在此,我们提出了一种由一系列约束梯度下降(CGD)方法组成的新方案,以更好地恢复扫描位置。这些CGD方法的核心思想是利用关于扫描透射电子显微镜(STEM)实验性质的先验知识,并添加必要的约束,以便在迭代重建过程中分离不同类型的扫描位置误差。每个约束将借助具有已知位置误差的模拟四维STEM数据集引入。然后,将使用1H-MoS单层的实验四维STEM数据集演示集成约束梯度下降(iCGD)方案。我们将表明,iCGD方案可以有效解决全谱扫描位置的误差,并有助于实现高精度和高分辨率的电子叠层成像。