ArticleNature communications2025
Ultra-broadband ptychography for dispersive samples.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Improved image reconstruction in coherent diffraction imaging using self-seeded XFEL pulses.Journal of synchrotron radiation · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
X-ray ptychography has emerged as a powerful imaging tool on X-ray synchrotron facilities. Implementation of ptychography on laboratory-scale X-ray sources has largely been hindered by their poor temporal coherence and low flux. Here we propose an ultra-broadband method incorporating structured illumination to enhance the robustness of ptychography to broadband sources. Different from other methods, our ultra-broadband ptychography method enables imaging of dispersive samples without prior knowledge of light spectra. A 60% bandwidth light source and a high harmonic extreme ultraviolet source were used to validate our method. Moreover, our method demonstrates precise quantitative phase imaging capabilities. The proposed method will significantly advance the implementation of ptychography on laboratory-scale broadband X-ray sources and widen its applications in biomedicine and materials science.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.