Lossy Compression of Electron Diffraction Patterns for Ptychography via Change of Basis

TL;DR

This paper explores lossy compression techniques for electron diffraction patterns in ptychography, significantly reducing data size while preserving essential information for image reconstruction.

Contribution

It introduces and evaluates lossy compression methods that drastically decrease dataset size without compromising ptychographic reconstruction quality.

Findings

Data size reduced by three to four orders of magnitude.

Compression methods retain necessary information for accurate reconstructions.

Promising results on both simulated and experimental data.

Abstract

Ptychography is a computational imaging technique that has risen in popularity in the x-ray and electron microscopy communities in the past half decade. One of the reasons for this success is the development of new high performance electron detectors with increased dynamic range and readout speed, both of which are necessary for a successful application of this technique. Despite the advances made in computing power, processing the recorded data remains a challenging task, and the growth in data rate has made the size of the resulting datasets a bottleneck for the whole process. Here we present an investigation into lossy compression methods for electron diffraction patterns that retain the necessary information for ptychographic reconstructions, yet lead to a decrease in data set size by three or four orders of magnitude. We apply several compression methods to both simulated and experimental data - all with promising results.