darfix: Data analysis for dark-field X-ray microscopy
J\'ulia Garriga Ferrer, Raquel Rodr\'iguez-Lamas, Henri Payno, Wout De, Nolf, Phil Cook, Vicente Armando Sol\'e Jover, Vincent Favre-Nicolin, Can, Y{\i}ld{\i}r{\i}m, Carsten Detlefs
TL;DR
darfix is a versatile Python package that streamlines the analysis and visualization of dark-field X-ray microscopy data, supporting large datasets and offering both library and GUI interfaces.
Contribution
It introduces a comprehensive software tool with online algorithms and workflow chaining for DFXM data analysis, including automatic metadata extraction.
Findings
Supports large datasets with online processing
Provides both library and GUI interfaces
Automates extraction of instrument parameters
Abstract
A Python package for the analysis of dark-field X-ray microscopy (DFXM) and rocking curve imaging (RCI) data is presented. \textit{darfix} provides a set of data processing and visualization tools that can be either imported as library components or accessed through a graphical user interface (GUI) as an Orange add-on. In the latter case, the different analysis modules can be easily chained to define computational workflows. Operations on larger-than-memory image sets are supported through the implementation of online versions of the data processing algorithms, effectively trading performance for feasibility when the computing resources are limited. The software can automatically extract the relevant instrument angle settings from the input files metadata. The currently available input file format is EDF and in future releases HDF5 will be incorporated.
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Taxonomy
TopicsAdvanced X-ray Imaging Techniques