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11. R.A. Brooks, D.G. Chiro, Principles of computer assisted tomography (CAT) in radiographic
and radioisotopic imaging. Phys. Med. Biol. 21, 689–732 (1976)
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Struct. Biol. 120, 219–227 (1997)
13. R.B. Der, T. Gabor, Algebraic reconstruction techniques (ART) for three-dimensional electron
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14. P. Gilbert, Iterative methods for three dimensional reconstruction of an object from projections.
J. Theor. Biol. 36, 105–117 (1972)
15. M. Weyland, P.A. Midgley, Extending energy-filtered transmission electron microscopy
(EFTEM) into three dimensions using electron tomography. Microsc. Microanal. 9, 542–555
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16. B. Goris, S. Bals, W. Van den Broek, J. Verbeeck, G. Van Tendeloo, Exploring different inelastic
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17. G. Möbus, R.C. Doole, B.J. Inkson, Spectroscopic electron tomography. Ultramicroscopy 96,
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20. N. Dobigeon, N. Brun, Spectral mixture analysis of EELS spectrum-images. Ultramicroscopy
120, 25–34 (2012)
21. C. Jeanguillaume, C. Colliex, Spectrum-image: the next step in EELS digital acquisition and
processing. Ultramicroscopy 28, 252–257 (1989)
22. B. Freitag, S. Kujawa, P.M. Mul, J. Ringnalda, P.C. Tiemeijer, Breaking the spherical and
chromatic aberration barrier in transmission electron microscopy. Ultramicroscopy 102, 209–
214 (2005)
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24. K. Kimoto, G. Kothleitner, W. Grogger, Y. Matsui, F. Hofer, Advantages of a monochromator for
bandgap measurements using electron energy-loss spectroscopy. Micron 36, 185–189 (2005)
25. M.T. Otten, W.M.J. Coene, High-resolution imaging on a field emission TEM. Ultramicroscopy
48, 77–91 (1993)
26. R.F. Egerton, in Electron Energy-Loss Spectroscopy in the Electron Microscope. (Springer,
2011)
27. L. Cavé, T. Al, D. Loomer, S. Cogswell, L. Weaver, A STEM/EELS method for mapping iron
valence ratios in oxide minerals. Micron 37, 301–309 (2006)
28. Q. Du, J.E. Fowler, Hyperspectral image compression using JPEG2000 and principal
component analysis. IEEE Geosci. Remote Sens. Lett. 4, 201–205 (2007)
29. E. Candès, J. Romberg, Sparsity and incoherence in compressive sampling. Inverse Probl. 23,
969–985 (2007)
30. B. Bougher, Introduction to compressed sensing. Lead. Edge 1256–1258 (2015). doi:http://dx.
doi.org/10.1190/tle34101256.1
31. R. Leary, Z. Saghi, P.A. Midgley, D.J. Holland, Compressed sensing electron tomography.
Ultramicroscopy 131, 70–91 (2013)
32. J.M. Thomas, R. Leary, P.A. Midgley, D.J. Holland, A new approach to the investigation of
nanoparticles: electron tomography with compressed sensing. J. Colloid Interface Sci. 392,
7–14 (2013)
33. Z. Saghi, et al., Three-dimensional morphology of iron oxide nanoparticles with reactive
concave surfaces. a compressed sensing-electron tomography (CS-ET) approach. Nano Lett.
11, 4666–4673 (2011)
P. Torruella et al.
10. Radermacher, M. Weighted back-projection methods. in Electron Tomography: Methods for
Three-Dimensional Visualization of Structures in the Cell (Springer New York, 2006), pp. 245–
273. https://doi.org/10.1007/978-0-387-69008-7_9
11. R.A. Brooks, D.G. Chiro, Principles of computer assisted tomography (CAT) in radiographic
and radioisotopic imaging. Phys. Med. Biol. 21, 689–732 (1976)
12. G.A. Perkins et al., Electron tomography of large, multicomponent biological structures. J.
Struct. Biol. 120, 219–227 (1997)
13. R.B. Der, T. Gabor, Algebraic reconstruction techniques (ART) for three-dimensional electron
microscopy and X-ray photography (1970) (Elsevier)
14. P. Gilbert, Iterative methods for three dimensional reconstruction of an object from projections.
J. Theor. Biol. 36, 105–117 (1972)
15. M. Weyland, P.A. Midgley, Extending energy-filtered transmission electron microscopy
(EFTEM) into three dimensions using electron tomography. Microsc. Microanal. 9, 542–555
(2003)
16. B. Goris, S. Bals, W. Van den Broek, J. Verbeeck, G. Van Tendeloo, Exploring different inelastic
projection mechanisms for electron tomography. Ultramicroscopy 111, 1262–1267 (2011)
17. G. Möbus, R.C. Doole, B.J. Inkson, Spectroscopic electron tomography. Ultramicroscopy 96,
433–451 (2003)
18. G. Möbus, B.J. Inkson, Nanoscale tomography in materials science. Mater. Today 10, 18–25
(2007)
19. J. Frank, S. Edition, J. Frank, S. Edition, in Electron Tomography. (Springer, 2006).
doi:10.1007/978-0-387-69008-7
20. N. Dobigeon, N. Brun, Spectral mixture analysis of EELS spectrum-images. Ultramicroscopy
120, 25–34 (2012)
21. C. Jeanguillaume, C. Colliex, Spectrum-image: the next step in EELS digital acquisition and
processing. Ultramicroscopy 28, 252–257 (1989)
22. B. Freitag, S. Kujawa, P.M. Mul, J. Ringnalda, P.C. Tiemeijer, Breaking the spherical and
chromatic aberration barrier in transmission electron microscopy. Ultramicroscopy 102, 209–
214 (2005)
23. B. Kabius et al., First application of Cc-corrected imaging for high-resolution and energyfiltered TEM. J. Electron. Microsc. (Tokyo) 58, 147–155 (2009)
24. K. Kimoto, G. Kothleitner, W. Grogger, Y. Matsui, F. Hofer, Advantages of a monochromator for
bandgap measurements using electron energy-loss spectroscopy. Micron 36, 185–189 (2005)
25. M.T. Otten, W.M.J. Coene, High-resolution imaging on a field emission TEM. Ultramicroscopy
48, 77–91 (1993)
26. R.F. Egerton, in Electron Energy-Loss Spectroscopy in the Electron Microscope. (Springer,
2011)
27. L. Cavé, T. Al, D. Loomer, S. Cogswell, L. Weaver, A STEM/EELS method for mapping iron
valence ratios in oxide minerals. Micron 37, 301–309 (2006)
28. Q. Du, J.E. Fowler, Hyperspectral image compression using JPEG2000 and principal
component analysis. IEEE Geosci. Remote Sens. Lett. 4, 201–205 (2007)
29. E. Candès, J. Romberg, Sparsity and incoherence in compressive sampling. Inverse Probl. 23,
969–985 (2007)
30. B. Bougher, Introduction to compressed sensing. Lead. Edge 1256–1258 (2015). doi:http://dx.
doi.org/10.1190/tle34101256.1
31. R. Leary, Z. Saghi, P.A. Midgley, D.J. Holland, Compressed sensing electron tomography.
Ultramicroscopy 131, 70–91 (2013)
32. J.M. Thomas, R. Leary, P.A. Midgley, D.J. Holland, A new approach to the investigation of
nanoparticles: electron tomography with compressed sensing. J. Colloid Interface Sci. 392,
7–14 (2013)
33. Z. Saghi, et al., Three-dimensional morphology of iron oxide nanoparticles with reactive
concave surfaces. a compressed sensing-electron tomography (CS-ET) approach. Nano Lett.
11, 4666–4673 (2011)
