Small angle X-ray scattering ghost imaging

Traditional small angle X-ray scattering (SAXS) techniques utilize a focused microbeam for spatial scanning to achieve spatially resolved imaging of the nanostructures of nonuniform materials. However, this method is notably inefficient regarding information acquisition, and its spatial resolution is constrained by the beam's focusing capabilities. We propose a proof-of-concept experiment using structured illumination to demonstrate a SAXS method capable of achieving high spatial resolution. This method leverages the experimental setup of real-space ghost imaging in intensity correlation measurements. It maps reciprocal space signals—specifically, small angle scattering signals—to real space, enabling small angle scattering imaging with enhanced spatial resolution without needing beam-focusing elements. Due to its inherent compatibility with compressed sensing, this method can significantly reduce the number of measurements. Successfully validated using synchrotron radiation X-rays, this approach theoretically applies to scattering imaging of photons and high-energy particles across various wavelength bands. It holds broad application prospects in the fields of nanomaterials and biomedicine. Published by the American Physical Society 2024

Authors

Institutions

Publication Details

Journal
Physical Review Research
Published
2024-12-19
DOI
https://doi.org/10.1103/physrevresearch.6.043293
Citations
4
Primary Topic
Random lasers and scattering media
Type
article
Field-Weighted Citation Impact
1.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Small angle X-ray scattering ghost imaging

Honglan Xie, Tiqiao Xiao, Shumin Yang, Xiuhong Li et al.
4 citations
Physical Review Research
Random lasers and scattering media
1.11
article

Small angle X-ray scattering ghost imaging

Honglan Xie, Tiqiao Xiao, Shumin Yang, Xiuhong Li, Haipeng Zhang, Feixiang Wang, Wenqiang Hua, Biao Deng, Changzhe Zhao
article en
4 citations

Abstract

Traditional small angle X-ray scattering (SAXS) techniques utilize a focused microbeam for spatial scanning to achieve spatially resolved imaging of the nanostructures of nonuniform materials. However, this method is notably inefficient regarding information acquisition, and its spatial resolution is constrained by the beam's focusing capabilities. We propose a proof-of-concept experiment using structured illumination to demonstrate a SAXS method capable of achieving high spatial resolution. This method leverages the experimental setup of real-space ghost imaging in intensity correlation measurements. It maps reciprocal space signals—specifically, small angle scattering signals—to real space, enabling small angle scattering imaging with enhanced spatial resolution without needing beam-focusing elements. Due to its inherent compatibility with compressed sensing, this method can significantly reduce the number of measurements. Successfully validated using synchrotron radiation X-rays, this approach theoretically applies to scattering imaging of photons and high-energy particles across various wavelength bands. It holds broad application prospects in the fields of nanomaterials and biomedicine. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(4)
Chinese Academy of Sciences (CN), Shanghai Advanced Research Institute (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 25%
Random lasers and scattering media
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.