Three-dimensional femtosecond snapshots of isolated faceted nanostructures.
Alessandro ColomboSimon DoldPatrice KolbNils BernhardtPatrick BehrensJonathan CorreaStefan DüstererBenjamin ErkLinos HechtAndrea HeilrathRobert IrsigNorman IweJakob Ernst Luis JordanBjörn KruseBruno LangbehnBastian ManschwetusFranklin MartinezKarl-Heinz Meiwes-BroerKevin OldenburgChristopher PassowChristian PeltzMario SauppeFabian SeelRico Mayro P TanyagRolf TreuschAnatoli UlmerSaida WalzThomas FennelIngo BarkeThomas MöllerBernd von IssendorffDaniela RuppPublished in: Science advances (2023)
The structure and dynamics of isolated nanosamples in free flight can be directly visualized via single-shot coherent diffractive imaging using the intense and short pulses of x-ray free-electron lasers. Wide-angle scattering images encode three-dimensional (3D) morphological information of the samples, but its retrieval remains a challenge. Up to now, effective 3D morphology reconstructions from single shots were only achieved via fitting with highly constrained models, requiring a priori knowledge about possible geometries. Here, we present a much more generic imaging approach. Relying on a model that allows for any sample morphology described by a convex polyhedron, we reconstruct wide-angle diffraction patterns from individual silver nanoparticles. In addition to known structural motives with high symmetries, we retrieve imperfect shapes and agglomerates that were not previously accessible. Our results open unexplored routes toward true 3D structure determination of single nanoparticles and, ultimately, 3D movies of ultrafast nanoscale dynamics.
Keyphrases
- high resolution
- silver nanoparticles
- healthcare
- deep learning
- mass spectrometry
- magnetic resonance imaging
- optical coherence tomography
- magnetic resonance
- convolutional neural network
- machine learning
- high speed
- atomic force microscopy
- health information
- quantum dots
- computed tomography
- crystal structure
- solar cells