Journal
NANO LETTERS
Volume 11, Issue 11, Pages 4666-4673Publisher
AMER CHEMICAL SOC
DOI: 10.1021/nl202253a
Keywords
Electron tomography; compressed sensing; 3D reconstruction; quantitative; iron oxide nanoparticles
Categories
Funding
- European Union [026019 ESTEEM]
- EPSRC [EP/F047991/1]
- Engineering and Physical Sciences Research Council [EP/F047991/1] Funding Source: researchfish
- EPSRC [EP/F047991/1] Funding Source: UKRI
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In this paper, we apply electron tomography (ET) to the study of the three-dimensional (3D) morphology of iron oxide nanoparticles (NPs) with reactive concave surfaces. The ability to determine quantitatively the volume and shape of the NP concavity is essential for understanding the key lock mechanism responsible for the destabilization of gold nanocrystals within the iron oxide NP concavity. We show that quantitative ET is enhanced greatly by the application of compressed sensing (CS) techniques to the tomographic reconstruction. High-fidelity tomograms using a new CS-ET algorithm reveal with clarity the concavities of the particle and enable 3D nanometrology studies to be undertaken with confidence. In addition, the robust performance of the CS-ET algorithm with undersampled data should allow rapid progress with time-resolved 3D nanoscale studies, 3D atomic resolution imaging, and cryo-tomography of nanoscale cellular structures.
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