Detail

Experimental data for evaluation of deep learning approach for high-accuracy electron counting of MAPS-type direct electron detectors

Wei, Jingrui; Hagopian, Nicholas; Voyles, Paul

Organizations

MDF Open

Year

2023

Source Name

exp_dl_electron_counting

Contacts

Paul Voyles(paul.voyles@wisc.edu)

DOI

10.18126/xv6r-y3lr View on Datacite
Experimental data of Celeritas XS direct detector for evaluation of deep learning counting approach as well as conventional connected component labeling counting and integrating. The dataset contains uniformly illuminated data with and without beam stop for MTF/DQE/DCE calculation, 4DSTEM datasets of monolayer WS2 before and after counting, and 4DSTEM datasets of SrTiO3[100] before and after counting. The zspy files can be loaded using Hyperspy(https://hyperspy.org)