| |
Record |
Links |
|
Author |
Vanrompay, H.; Buurlage, J.‐W.; Pelt, D.M.; Kumar, V.; Zhuo, X.; Liz‐Marzán, L.M.; Bals, S.; Batenburg, K.J. |
|
| |
Title |
Real‐Time Reconstruction of Arbitrary Slices for Quantitative and In Situ 3D Characterization of Nanoparticles |
Type |
A1 Journal article |
| |
Year  |
2020 |
Publication |
Particle & Particle Systems Characterization |
Abbreviated Journal |
Part Part Syst Char |
|
| |
Volume |
37 |
Issue |
37 |
Pages |
2000073 |
|
| |
Keywords |
A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT) |
|
| |
Abstract |
A detailed 3D investigation of nanoparticles at a local scale is of great importance to connect their structure and composition to their properties. Electron tomography has therefore become an important tool for the 3D characterization of nanomaterials. 3D investigations typically comprise multiple steps, including acquisition, reconstruction, and analysis/quantification. Usually, the latter two steps are performed offline, at a dedicated workstation. This sequential workflow prevents on-the-fly control of experimental parameters to improve the quality of the 3D reconstruction, to select a relevant nanoparticle for further characterization or to steer an in-situ tomography experiment. Here, we present an efficient approach to overcome these limitations, based on the real-time reconstruction of arbitrary 2D reconstructed slices through a 3D object. Implementation of this method may lead to generalized implementation of electron tomography for routine nanoparticle characterization in 3D. |
|
| |
Address |
|
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
|
Place of Publication |
|
Editor |
|
|
| |
Language |
|
Wos |
000536357100001 |
Publication Date |
2020-05-29 |
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
0934-0866 |
ISBN |
|
Additional Links |
UA library record; WoS full record; WoS citing articles |
|
| |
Impact Factor |
2.7 |
Times cited |
10 |
Open Access |
OpenAccess |
|
| |
Notes |
Fonds Wetenschappelijk Onderzoek, 1S32617N ; Fonds Wetenschappelijk Onderzoek, G026718N ; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, 639.073.506 016.Veni.192.235 ; H.V. acknowledges financial support by the Research Foundation Flanders (FWO grant 1S32617N). S.B acknowledges financial support by the Research Foundation Flanders (FWO grant G026718N). Financial support was provided by The Netherlands Organization for Scientific Research (NWO), project numbers 639.073.506 and 016.Veni.192.235. This project received funding as well from the European Union’s Horizon 2020 research and innovation program under grant agreement No 731019 (EUSMI) and No 815128 (REALNANO). H.V. and J.-W.B contributed equally to this work.; sygma |
Approved |
Most recent IF: 2.7; 2020 IF: 4.474 |
|
| |
Call Number |
EMAT @ emat @c:irua:169704 |
Serial |
6371 |
|
| Permanent link to this record |
