journal article·2024-01-01

Low-Dose 4D-STEM Tomography for Beam-Sensitive Nanocomposites

Milena Hugenschmidt, Daen Jannis, Ajinkya Anil Kadu, Lukas Grünewald, Sarah De Marchi, Jorge Pérez-Juste, Johan Verbeeck, Sandra Van Aert, Sara Bals

ACS Materials Letters· Volume 6· Issue 1
Publisher page

Abstract

Electron tomography is essential for investigating the three-dimensional (3D) structure of nanomaterials. However, many of these materials, such as metal–organic frameworks (MOFs), are extremely sensitive to electron radiation, making it difficult to acquire a series of projection images for electron tomography without inducing electron-beam damage. Another significant challenge is the high contrast in high-angle annular dark field scanning transmission electron microscopy that can be expected for nanocomposites composed of a metal nanoparticle and an MOF. This strong contrast leads to so-called metal artifacts in the 3D reconstruction. To overcome these limitations, we here present low-dose electron tomography based on four-dimensional scanning transmission electron microscopy (4D-STEM) data sets, collected using an ultrafast and highly sensitive direct electron detector. As a proof of concept, we demonstrate the applicability of the method for an Au nanostar embedded in a ZIF-8 MOF, which is of great interest for applications in various fields, including drug delivery.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Electron Microscopy Techniques and Applications · Electron and X-Ray Spectroscopy Techniques · Machine Learning in Materials Science

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

EMAT and NanoLab, University of Antwerp, Groenenborgerlaan 171, Antwerp 2020, Belgium

Centrum Wiskunde & Informatica, Science Park 123, 1098 XG Amsterdam, The Netherlands

CINBIO, Universidade de Vigo, Departamento de Química Física, Campus Universitario As Lagoas, Marcosende, 36310 Vigo, Spain

Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36310 Vigo, Spain

Funding

Ministerio de Ciencia e Innovaci?n · H2020 Security · Bijzonder Onderzoeksfonds UGent · Horizon 2020 Framework Programme · H2020 European Research Council

References (56)

Show source-provided references
1. 10.1038/378703a010.1038/378703a0 ↗
2. 10.1021/acsnano.1c0798310.1021/acsnano.1c07983 ↗
3. 10.1002/anie.20190281710.1002/anie.201902817 ↗
4. 10.1016/j.xcrp.2020.10007610.1016/j.xcrp.2020.100076 ↗
5. 10.1021/ja306869j10.1021/ja306869j ↗
6. 10.1021/cm302735b10.1021/cm302735b ↗
7. 10.1073/pnas.060243910310.1073/pnas.0602439103 ↗
8. 10.1002/smll.20160094710.1002/smll.201600947 ↗
9. 10.1039/C8NR08376B10.1039/C8NR08376B ↗
10. 10.1007/978-3-030-00069-110.1007/978-3-030-00069-1 ↗
11. 10.1017/S143192760505036110.1017/S1431927605050361 ↗
12. 10.1002/adma.20211039410.1002/adma.202110394 ↗
13. 10.1021/cm300447910.1021/cm3004479 ↗
14. Frank J. · 200610.1007/978-0-387-69008-7 ↗
15. 10.1017/S143192762100764910.1017/S1431927621007649 ↗
16. 10.1021/acs.jpcc.0c0893910.1021/acs.jpcc.0c08939 ↗
17. 10.1126/science.aao086510.1126/science.aao0865 ↗
18. 10.1038/nmat485210.1038/nmat4852 ↗
19. 10.1038/s42004-020-00361-610.1038/s42004-020-00361-6 ↗
20. 10.1021/acs.chemmater.1c0133210.1021/acs.chemmater.1c01332 ↗
21. 10.1039/D2NR07198C10.1039/D2NR07198C ↗
22. 10.1002/ppsc.20150009710.1002/ppsc.201500097 ↗
23. 10.3233/BME-14115110.3233/BME-141151 ↗
24. 10.1109/TMI.2008.92910310.1109/TMI.2008.929103 ↗
25. 10.1021/acs.accounts.1c0007310.1021/acs.accounts.1c00073 ↗
26. 10.48550/arXiv.2210.1263610.48550/arXiv.2210.12636 ↗
27. 10.1126/science.adg318310.1126/science.adg3183 ↗
28. 10.1021/acscentsci.2c0113710.1021/acscentsci.2c01137 ↗
29. 10.1016/j.ultramic.2021.11342310.1016/j.ultramic.2021.113423 ↗
30. 10.1016/j.ultramic.2022.11353910.1016/j.ultramic.2022.113539 ↗
31. 10.1017/S143192761900049710.1017/S1431927619000497 ↗
32. 10.1016/j.ultramic.2020.11319110.1016/j.ultramic.2020.113191 ↗
33. 10.1016/j.ultramic.2008.10.00510.1016/j.ultramic.2008.10.005 ↗
34. 10.1016/j.jsb.2010.10.01710.1016/j.jsb.2010.10.017 ↗
35. 10.1109/LSP.2016.258060010.1109/LSP.2016.2580600 ↗
36. Azzari, L.; Foi, A. Iterative Poisson image denoising software for Matlab (ver. 7 or later); https://webpages.tuni.fi/foi/invansc/.
37. 10.1109/TIP.2013.228340010.1109/TIP.2013.2283400 ↗
38. 10.1016/j.ultramic.2015.05.00210.1016/j.ultramic.2015.05.002 ↗
39. 10.1109/ACSSC.2003.129221610.1109/ACSSC.2003.1292216 ↗
40. 10.1016/j.cam.2011.09.03910.1016/j.cam.2011.09.039 ↗
41. 10.1088/0957-4484/23/7/07510210.1088/0957-4484/23/7/075102 ↗
42. 10.1039/df951110005510.1039/df9511100055 ↗
43. First Truly Spectral Imaging Camera - AdvaPIX TPX 3. ADVACAM. https://advacam.com/camera/advapix-tpx3 (accessed 2023-03-21).
44. 10.1002/sia.209310.1002/sia.2093 ↗
45. 10.5517/CCN6ZVN10.5517/CCN6ZVN ↗
46. 10.1073/pnas.100320510710.1073/pnas.1003205107 ↗
47. 10.1186/s40679-018-0060-y10.1186/s40679-018-0060-y ↗
48. 10.5281/zenodo.506851010.5281/zenodo.5068510 ↗
49. 10.5445/IR/100014420810.5445/IR/1000144208 ↗
50. 10.5281/zenodo.726326310.5281/zenodo.7263263 ↗
51. 10.1364/OE.24.02512910.1364/OE.24.025129 ↗
52. 10.1038/nmeth.201910.1038/nmeth.2019 ↗
53. 10.1109/MCSE.2007.5510.1109/MCSE.2007.55 ↗
54. 10.5281/zenodo.739472410.5281/zenodo.7394724 ↗
55. 10.5281/zenodo.710105210.5281/zenodo.7101052 ↗
56. 10.5281/zenodo.804287910.5281/zenodo.8042879 ↗