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Computer Science > Information Theory

arXiv:2212.01309v1 (cs)
[Submitted on 2 Dec 2022 ]

Title: Wigner Distribution Deconvolution Adaptation for Live Ptychography Reconstruction

Title: 威格纳分布去卷积适应用于实时ptychography重建

Authors:Arya Bangun, Paul F. Baumeister, Alexander Clausen, Dieter Weber, Rafal E. Dunin-Borkowski
Abstract: We propose a modification of Wigner Distribution Deconvolution (WDD) to support live processing ptychography. Live processing allows to reconstruct and display the specimen transfer function gradually while diffraction patterns are acquired. For this purpose we reformulate WDD and apply a dimensionality reduction technique that reduces memory consumption and increases processing speed. We show numerically that this approach maintains the reconstruction quality of specimen transfer functions as well as reduces computational complexity during acquisition processes. Although we only present the reconstruction for Scanning Transmission Electron Microscopy (STEM) datasets, in general, the live processing algorithm we present in this paper can be applied to real-time ptychographic reconstruction for different fields of application.
Abstract: 我们提出对Wigner分布去卷积(WDD)的修改,以支持实时处理的ptychography。 实时处理允许在获取衍射图样时逐步重建并显示样品传递函数。 为此,我们重新表述了WDD,并应用了一种降维技术,该技术减少了内存消耗并提高了处理速度。 我们通过数值实验表明,这种方法保持了样品传递函数的重建质量,并在采集过程中降低了计算复杂度。 尽管我们仅展示了扫描透射电子显微镜(STEM)数据集的重建,但一般来说,本文中提出的实时处理算法可以应用于不同应用领域的实时ptychographic重建。
Subjects: Information Theory (cs.IT) ; Image and Video Processing (eess.IV)
Cite as: arXiv:2212.01309 [cs.IT]
  (or arXiv:2212.01309v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2212.01309
arXiv-issued DOI via DataCite
Journal reference: Microscopy and Microanalysis 2023
Related DOI: https://doi.org/10.1093/micmic/ozad021
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Submission history

From: Arya Bangun [view email]
[v1] Fri, 2 Dec 2022 16:59:30 UTC (8,429 KB)
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