Position correction in ptychography using hybrid input-output (HIO) and cross-correlation

Journal Article (2019)
Author(s)

P. Dwivedi (TU Delft - ImPhys/Optics, TU Delft - ImPhys/Imaging Physics)

A.P. Konijnenberg (TU Delft - ImPhys/Optics, TU Delft - ImPhys/Imaging Physics)

Silvania F. Pereira (TU Delft - ImPhys/Imaging Physics, TU Delft - ImPhys/Optics)

J. Meisner (TU Delft - ImPhys/Imaging Physics, TU Delft - ImPhys/Optics)

Paul Urbach (TU Delft - ImPhys/Imaging Physics, TU Delft - ImPhys/Optics)

Research Group
ImPhys/Optics
Copyright
© 2019 P. Dwivedi, A.P. Konijnenberg, S.F. Pereira, J.A. Meisner, Paul Urbach
DOI related publication
https://doi.org/10.1088/2040-8986/ab02ce
More Info
expand_more
Publication Year
2019
Language
English
Copyright
© 2019 P. Dwivedi, A.P. Konijnenberg, S.F. Pereira, J.A. Meisner, Paul Urbach
Research Group
ImPhys/Optics
Issue number
3
Volume number
21
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Ptychography is a form of coherent diffractive imaging; it employs far-field intensity patterns of the object to reconstruct the object. In ptychography, an important limiting factor for the reconstructed image quality is the uncertainty in the probe positions. Here, we propose a new approach which uses the hybrid input-output algorithm and cross-correlation in a way that can correct our estimates of the probe positions. The performance and limitations of the method in the presence of noise, varying overlap, and maximum recoverable error are studied using simulations. A brief comparison with other existing methods is also discussed here.