ArticleScience advances2021
SINGLE: Atomic-resolution structure identification of nanocrystals by graphene liquid cell EM.
Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Graphene-Based Liquid Cell Designs for In Situ Liquid-Phase Transmission Electron Microscopy: Recent Developments and Perspectives.Small science · 2025Review
- Time-resolved atomic-resolution Brownian tomography of single nanocrystals reveals size-dependent dynamics.Science advances · 2025Article
- Time-resolved Brownian tomography of single nanocrystals in liquid during oxidative etching.Nature communications · 2025Article
- Exploring Biomineralization Processes Using In Situ Liquid Transmission Electron Microscopy: A Review.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Disproportionation chemistry in KScience advances · 2024Article
- Small, solubilized platinum nanocrystals consist of an ordered core surrounded by mobile surface atoms.Communications chemistry · 2024Article
- Plate-Like Colloidal Metal Nanoparticles.Chemical reviews · 2023Review
- Method for 3D atomic structure determination of multi-element nanoparticles with graphene liquid-cell TEM.Scientific reports · 2023Article
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Authors and funding
10 authors.
Funding
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Abstract
Analysis of the three-dimensional (3D) structures of nanocrystals with solution-phase transmission electron microscopy is beginning to reveal their unique physiochemical properties. We developed a "one-particle Brownian 3D reconstruction method" based on imaging of ensembles of colloidal nanocrystals using graphene liquid cell electron microscopy. Projection images of differently rotated nanocrystals are acquired using a direct electron detector with high temporal (<2.5 ms) resolution and analyzed to obtain an ensemble of 3D reconstructions. Here, we introduce computational methods required for successful atomic-resolution 3D reconstruction: (i) tracking of the individual particles throughout the time series, (ii) subtraction of the interfering background of the graphene liquid cell, (iii) identification and rejection of low-quality images, and (iv) tailored strategies for 2D/3D alignment and averaging that differ from those used in biological cryo-electron microscopy. Our developments are made available through the open-source software package SINGLE.
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Registered trials
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