Abstract
We introduce a forward model for the computation of high angle annular dark field (HAADF) images of nano-crystalline spherical particles and apply it to image simulations for assemblies of nano-spheres of Al, Cu, and Au with a range of sizes, as well as an artificial bi-sphere, consisting of solid hemispheres of Al and Cu or Al and Au. Comparison of computed intensity profiles with experimental observations on Al spheres at different microscope accelerating voltages provides confidence in the forward model. Simulated tomographic tilt series for both HAADF and bright field (BF) images are then used to illustrate that the model-based iterative reconstruction (MBIR) approach is capable of reconstructing sphere configurations of mixed atomic number, with the correct relative reconstructed intensity ratio proportional to the square of the atomic number ratio.
Original language | English |
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Pages (from-to) | 7-17 |
Number of pages | 11 |
Journal | Ultramicroscopy |
Volume | 160 |
DOIs | |
State | Published - Jan 1 2016 |
Externally published | Yes |
Funding
S.V. Venkatakrishnan and C.A. Bouman were supported by an AFOSR/MURI Grant #FA9550-12-1-0458 , by AFRL under the Broad Spectrum Engineered Materials contract (UES, Inc.), and by the Electronic Imaging component of the ICMD program of the Materials and Manufacturing Directorate of the Air Force Research Laboratory , Andrew Rosenberger, program manager. M. De Graef was partially supported by AFRL under the Broad Spectrum Engineered Materials contract (UES, Inc.) and partially by an AFOSR/MURI Grant #FA9550-12-1-0458 . The authors would also like to thank the anonymous reviewers for multiple suggestions that have improved our paper through several revisions.
Funders | Funder number |
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Andrew Rosenberger | |
UES, Inc. | |
Air Force Office of Scientific Research | |
Air Force Research Laboratory | |
Multidisciplinary University Research Initiative | 9550-12-1-0458 |
Keywords
- Forward model
- High angle annular dark field
- Image simulation
- Nano-particles
- Tomographic reconstruction