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AutoLEI: Un pipeline basado en XDS con interfaz gráfica de usuario para el procesamiento automatizado de datos 3D
Lei Wang1, Yinlin Chen1, Emma Scaletti Hutchinson2
1Department of Chemistry, Stockholm University, 106 91 Stockholm, Sweden.
Abstract:
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.

