ArticleNature communications2022
Imaging Cu
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- The hard X-ray ptychography endstation at the Taiwan Photon Source.Journal of synchrotron radiation · 2026Article
- HoToPy: a toolbox for X-ray holo-tomography in Python.Journal of synchrotron radiation · 2025Article
- Direct Visualization and Quantitative Insights into the Formation and Phase Evolution of Cu Nanoparticles via In Situ Liquid Phase 4D-STEM.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Prospects for coherent X-ray diffraction imaging at fourth-generation synchrotron sources.IUCrJ · 2025Article
- Enhanced Imaging in Scanning Transmission X-Ray Microscopy Assisted by Ptychography.Nanomaterials (Basel, Switzerland) · 2025Article
- Utilizing High X-ray Energy Photon-In Photon-Out Spectroscopies and X-ray Scattering to Experimentally Assess the Emergence of Electronic and Atomic Structure of ZnS Nanorods.Journal of the American Chemical Society · 2024Article
- Dynamic X-ray Coherent Diffraction Analysis: Bridging the Time Scales between Imaging and Photon Correlation Spectroscopy.Nano letters · 2024Article
- Ptychographic phase retrieval via a deep-learning-assisted iterative algorithm.Journal of applied crystallography · 2024Article
- Subgradient-projection-based stable phase-retrieval algorithm for X-ray ptychography.Journal of applied crystallography · 2024Article
- X-Ray Multibeam Ptychography at up to 20 keV: Nano-Lithography Enhances X-Ray Nano-Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- An efficient ptychography reconstruction strategy through fine-tuning of large pre-trained deep learning model.iScience · 2023Article
- Culling a Self-Assembled Quantum Dot as a Single-Photon Source Using X-ray Microscopy.ACS nano · 2023Article
- Multimodal imaging of cubic CuScientific reports · 2023Article
- Imaging CuNature communications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Understanding morphological changes of nanoparticles in solution is essential to tailor the functionality of devices used in energy generation and storage. However, we lack experimental methods that can visualize these processes in solution, or in electrolyte, and provide three-dimensional information. Here, we show how X-ray ptychography enables in situ nano-imaging of the formation and hollowing of nanoparticles in solution at 155 °C. We simultaneously image the growth of about 100 nanocubes with a spatial resolution of 66 nm. The quantitative phase images give access to the third dimension, allowing to additionally study particle thickness. We reveal that the substrate hinders their out-of-plane growth, thus the nanocubes are in fact nanocuboids. Moreover, we observe that the reduction of Cu
Identifiers
What OpenQuestion holds
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.