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Imaging 3D Chemistry at 1 Nm Resolution with Fused Multi-modal Electron Tomography

Abstract

Measuring the three-dimensional (3D) distribution of chemistry in nanoscale matter is a longstanding challenge for metrological science. The inelastic scattering events required for 3D chemical imaging are too rare, requiring high beam exposure that destroys the specimen before an experiment is completed. Even larger doses are required to achieve high resolution. Thus, chemical mapping in 3D has been unachievable except at lower resolution with the most radiation-hard materials. Here, high-resolution 3D chemical imaging is achieved near or below one-nanometer resolution in an Au-FeO metamaterial within an organic ligand matrix, CoO-MnO core-shell nanocrystals, and ZnS-CuS nanomaterial using fused multi-modal electron tomography. Multi-modal data fusion enables high-resolution chemical tomography often with 99% less dose by linking information encoded within both elastic (HAADF) and inelastic (EDX/EELS) signals. We thus demonstrate that sub-nanometer 3D resolution of chemistry is measurable for a broad class of geometrically and compositionally complex materials.

Citing Articles

Imaging 3D chemistry at 1 nm resolution with fused multi-modal electron tomography.

Schwartz J, Wendy Di Z, Jiang Y, Manassa J, Pietryga J, Qian Y Nat Commun. 2024; 15(1):3555.

PMID: 38670945 PMC: 11053043. DOI: 10.1038/s41467-024-47558-0.

References
1.
Su Y, Nykanen M, Jahn K, Whan R, Cantrill L, Soon L . Multi-dimensional correlative imaging of subcellular events: combining the strengths of light and electron microscopy. Biophys Rev. 2017; 2(3):121-135. PMC: 5418370. DOI: 10.1007/s12551-010-0035-2. View

2.
Lustig M, Donoho D, Pauly J . Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn Reson Med. 2007; 58(6):1182-95. DOI: 10.1002/mrm.21391. View

3.
Lepinay K, Lorut F, Pantel R, Epicier T . Chemical 3D tomography of 28nm high K metal gate transistor: STEM XEDS experimental method and results. Micron. 2013; 47:43-9. DOI: 10.1016/j.micron.2013.01.004. View

4.
Levin B, Padgett E, Chen C, Scott M, Xu R, Theis W . Nanomaterial datasets to advance tomography in scanning transmission electron microscopy. Sci Data. 2016; 3:160041. PMC: 4896123. DOI: 10.1038/sdata.2016.41. View

5.
Zhang Y, Apley D, Chen W . Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables. Sci Rep. 2020; 10(1):4924. PMC: 7080833. DOI: 10.1038/s41598-020-60652-9. View