Wigner Distribution Deconvolution Adaptation for Live Ptychography Reconstruction

TL;DR

This paper introduces a modified Wigner Distribution Deconvolution method enabling real-time ptychography reconstruction by reformulating the algorithm and applying dimensionality reduction, maintaining quality while reducing computational load.

Contribution

It presents a novel adaptation of Wigner Distribution Deconvolution for live ptychography, improving speed and memory efficiency without sacrificing reconstruction quality.

Findings

Maintains reconstruction quality in live processing

Reduces memory consumption and computational complexity

Applicable to various fields beyond STEM

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.