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A Python package for the analysis of dark-field X-ray microscopy (DFXM) and rocking curve imaging (RCI) data is presented. DFXM is a non-destructive diffraction imaging technique that provides three-dimensional maps of lattice strain and orientation. The darfix package enables fast processing and visualization of these data, providing the user with the essential tools to extract information from the acquired images in a fast and intuitive manner. These data processing and visualization tools can be either imported as library components or accessed through a graphical user interface 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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http://dx.doi.org/10.1107/S1600577523001674 | DOI Listing |
ACS Omega
September 2025
Department of Chemistry, College of Science, Wollo University, PO Box, 1145 Dessie, Ethiopia.
The increasing pollution of water bodies from various industrial wastewater discharges has raised significant environmental concerns because these effluents contain toxic, nonbiodegradable compounds that pose serious risks to living organisms. In particular, the textile and pharmaceutical industries routinely use dyes that severely degrade water quality and lead to significant environmental issues. Therefore, effective removal of these dyes from industrial wastewater is crucial for mitigating pollution.
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
School of Nuclear Science & Technology, Southwest University of Science and Technology, Mianyang 621010, P. R. China.
Covalent organic frameworks (COFs) represent attractive crystalline porous materials for the capture of radioactive iodate anions (IO). However, the optimization and improvement of COF performances have mainly relied on trial-and-error approaches using bulk ensemble samples, and high-performance COFs for IO treatment are still lacking. Here we image the encapsulation of formic acids in a model single LZU-111 COF (FA@LZU-111) to react with IO using dark-field optical microscopy (DFM) and quantitatively unveil the stepwise reduction kinetics of IO into I/I in real time.
View Article and Find Full Text PDFAnal Chem
August 2025
Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 210009, P. R. China.
β-Secretase (BACE1), a key enzyme to producing neurotoxic β-amyloid, is a potential biomarker of Alzheimer's disease (AD). Developing a sensitive and efficient detection method for BACE1 activity is significant for AD progression evaluation. Due to the poor cleavage efficiency and acidic working conditions of BACE1, developing probes with high stability and strong signals is challenging for its detection.
View Article and Find Full Text PDFPhys Chem Chem Phys
August 2025
AREA Science Park, 34149 Trieste, Italy.
Rare-earth nickelates, such as LaNiO (LNO), exhibit complex electronic properties, with ordered oxygen vacancies (OOV) influencing conductivity and magnetic behavior. We investigate the structural stability of strain-induced OOV phases in LNO thin films grown on SrTiO substrates and the impact of Ruddlesden-Popper (RP) faults. Using high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM) and integrated differential phase contrast (iDPC) STEM imaging, we conducted atomic-scale structural and compositional analyses of OOV.
View Article and Find Full Text PDFWith increasing interest in studying biological systems across spatial scales-from centimetres down to nanometres-histology continues to be the gold standard for tissue imaging at cellular resolution, providing an essential bridge between macroscopic and nanoscopic analysis. However, its inherently destructive and two-dimensional nature limits its ability to capture the full three-dimensional complexity of tissue architecture. Here we show that phase-contrast X-ray microscopy can enable three-dimensional virtual histology with subcellular resolution.
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