X-ray Diffraction Data Processing in 3D Reciprocal Space
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Solution Overview
Problem
Current X-ray diffraction techniques face challenges in accurately and efficiently determining crystal structure properties of crystalline samples due to distorted beam positions on 2D images, missing of weak features, and the need for post-processing of full image sequences, which complicates the assessment of crystallographic quality and introduces artifacts.
Innovation Solution
A method that acquires X-ray diffraction data while the sample rotates, generates 2D image frames, distinguishes diffracted data from background, maps data into 3D reciprocal space in real-time, and visualizes it, allowing for immediate processing and reducing computational tasks by focusing on crystallographically meaningful data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If X-ray diffraction data is visualized using a sequence of 2D still images while the sample rotates, then the complete diffraction pattern information can be obtained, but the beam positions become distorted by detector geometry and beams are present on multiple consecutive images, making it difficult to clearly observe the data as a whole and assess crystallographic quality
Solution Approach 1:
The patent transforms the 2D diffraction pattern data into a 3D reciprocal space representation. This dimensional transformation allows all diffraction information to be visualized simultaneously in a unified 3D space, eliminating the distortion and fragmentation problems inherent in sequential 2D image displays while preserving complete diffraction pattern information.
2Loss of information
If the sample is rotated during X-ray diffraction and intensity is continuously measured, then complete diffraction pattern information is obtained, but structural properties can only be derived after a sufficient number of 2D images are available and comparable
Solution Approach 1:
By mapping diffraction data into 3D reciprocal space, the patent enables immediate visualization and analysis of structural properties as data is acquired, rather than requiring accumulation of multiple 2D images. The 3D representation provides real-time access to crystallographic information.
Solution Approach 2:
The patent replaces the mechanical sequential image comparison process with a computational 3D reciprocal space mapping system. This substitution allows automated, real-time derivation of structural properties from the 3D diffraction data without manual image-by-image analysis.
3Ease of manufacture
If conventional 2D image sequences are used for diffraction analysis, then the measurement process is simple, but artefacts, weak diffuse features or twinned crystals can be missed from the data analysis
Solution Approach 1:
The transformation to 3D reciprocal space provides enhanced visualization that makes weak diffuse features, twinned crystals, and other subtle crystallographic features more visible and easier to detect, while maintaining measurement simplicity through automated processing.
Solution Approach 2:
The patent employs color mapping in the 3D reciprocal space visualization to highlight different intensity levels and feature types. This color encoding enhances the visibility of weak features and distinguishes between different crystallographic phenomena, improving detection capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables faster and more accurate determination of crystal structure properties, enhances the visibility of twinned crystals and lattice superstructures, and reduces the risk of missing important features by providing a comprehensive 3D representation of diffraction information, improving the assessment of sample quality and experimental integrity.
Implementation Method 1
The general principle of X-ray diffraction on a sample to be investigated is as follows. An X-ray source generates an X-ray beam... The incident beam on the sample is diffracted by the crystal lattice of the sample
Implementation Method 2
Diffracted beams occur at incident angles where the Bragg condition is met (that is, at angles where coherent scattering from the crystal lattice of the sample is expected)
Implementation Method 3
The diffracted beams are detected by a two-dimensional X-ray detector (in short 2D X-ray detector) which may be planar, segmented or curved and visualized using appropriate imaging techniques
Data Source
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AI summary
A computer-implemented method of processing X-ray diffraction data is provided, wherein the X-ray diffraction data is provided by an X-ray detector (1030) configured to detect diffracted X-ray beams (20) of a sample (30) to be investigated, the method comprising the steps of: (a) acquiring X-ray diffraction data from the X-ray detector (1030) while the sample (30) is rotating with respect to an incident X-ray beam (10), (b) generating a 2D image frame from the acquired X-ray diffraction data, wherein the generated 2D image frame comprises 2D image data representing X-ray diffraction data for a specific rotational position of the sample; (c) for the generated 2D image frame, distinguishing the X-ray diffraction data from the background; (d) mapping the distinguished X-ray diffraction data of the generated 2D image frame into a single 3D reciprocal space; and (e) visualizing the 3D reciprocal space along with the mapped X-ray diffraction data on a display screen (104). Further provided is an apparatus and an X-ray device implementing the above described method.