SINGLE: Atomic-resolution structure identification of nanocrystals by graphene liquid cell EM
- Authors
- Reboul, C.F.; Heo, J.; Machello, C.; Kiesewetter, S.; Kim, B.H.; Kim, S.; Elmlund, D.; Ercius, P.; Park, J.; Elmlund, H.
- Issue Date
- Jan-2021
- Publisher
- American Association for the Advancement of Science
- Citation
- Science Advances, v.7, no.5
- Journal Title
- Science Advances
- Volume
- 7
- Number
- 5
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/40632
- DOI
- 10.1126/SCIADV.ABE6679
- ISSN
- 2375-2548
- 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. Copyright © 2021 The Authors, some rights reserved;
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