2022/11/14 by Anton Gladyshev, Thomas C. Pekin, Gladyshev, Anton +9 · 1 citation
Medicine · Physics and Astronomy · #Advanced X-ray Imaging Techniques #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Particle physics theoretical and experimental studies #Pediatric Urology and Nephrology Studies #Statistics and Probability (physics.data-an)
paper · pdf · doi:10.48550/arxiv.2211.07372
openalex publication_date 2022/11/14 · openalex created_date 2022/11/23 · openalex updated_date 2026/07/28
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.