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2026 (English)In: IUCrJ, E-ISSN 2052-2525, Vol. 13, no 1, p. 105-115Article in journal (Refereed) Published
Abstract [en]
Three-dimensional electron diffraction (3D ED), also known as microcrystal electron diffraction (microED), is an emerging method for determining structures from submicron-sized crystals. With the development of rapid and convenient data collection protocols, acquiring dozens of datasets in a single 3D ED/microED session has become routine. A fast and automated workflow for processing, scaling and merging a large number of 3D ED/microED datasets can significantly accelerate the structure determination process. Herein, we present an XDS-based pipeline with a graphical user interface for automated real-time and offline batch 3D ED/microED data processing (AutoLEI). We demonstrate the functionality and applications of the pipeline through four examples, using both offline and real-time data processing capabilities. The samples include small organic molecules, metal–organic frameworks (MOFs) and proteins, showcasing the versatility and efficiency of AutoLEI in various applications.
Keywords
3D electron diffraction, 3D ED, microcrystal electron diffraction, microED, electron crystallography, real-time data processing, offline batch data processing, data analysis, beam-sensitive materials
National Category
Structural Biology
Research subject
Physical Chemistry; Structural Biology
Identifiers
urn:nbn:se:su:diva-246396 (URN)10.1107/S2052252525010784 (DOI)001662280300013 ()
Funder
EU, Horizon 2020, 956099Swedish Research Council, 2019-00815Swedish Research Council, 2022-03681Swedish Research Council, 2022-03596Knut and Alice Wallenberg Foundation, 2019.0124Science for Life Laboratory, SciLifeLab
2025-09-032025-09-032026-05-13Bibliographically approved