3D imaging of nanomaterials by discrete tomography

Batenburg, Kees Joost; Bals, Sara; Sijbers, Jan; Kübel, Christian; Midgley, Paul A.; Hernández, Juan M.; Kaiser, Ute; Encina, Ezequiel Roberto; Coronado, Eduardo A.; Tendeloo, Gustaaf Van

doi:10.1016/j.ultramic.2009.01.009

Cited by 268 publications

(182 citation statements)

References 23 publications

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“…DART is an iterative algorithm that was developed for objects which consist of only few materials, corresponding to a few distinct gray levels in the reconstruction [22,40]. This prior knowledge is combined with a continuous iterative reconstruction algorithm (such as SIRT) by introducing a discretization step.…”

Section: Dartmentioning

confidence: 99%

“…This is by no means the best approach but commonly done as better defined criteria are often lacking [52]. The standard DART algorithm is utilized with 100 iterations for all the reconstructions [22,40], and a global threshold is used for segmentation which is set to the average value (0.5) of the background (0) and the particle intensity (1). The volume size for each reconstruction is 508 Â 508 Â 200 voxels.…”

Section: Acquisition Parameters and Reconstructionmentioning

confidence: 99%

“…However, fabrication of a needle-shaped specimen requires materials that are mechanically stable enough which hampers the application to many polymer composites. Finally, to enhance the reconstruction quality, different angular sampling procedures and reconstruction schemes have been suggested and implemented [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, SIRT gradually becomes an increasingly popular reconstruction method used in electron tomography, although it is computationally more expensive. Recently, more advanced reconstruction algorithms have been proposed, such as the discrete algebraic reconstruction technique (DART) [22] and the total variation minimization based reconstruction technique (TVM) [23]. Using prior knowledge of the specimen such as that the specimen contains only a limited number of phases, i.e., a discrete number of gray levels, aids in solving the ill-posed inversion (reconstruction) problem.…”

Section: Introductionmentioning

confidence: 99%

“…The performance of above advanced reconstruction algorithms have been mainly studied based on experimental data [22,33] which generally lack the ground truth of the specimens. Nevertheless, some studies have incorporated known phantoms or models into the performance comparison, but these models were based on data that are obtained with a very high SNR in the projections [32,34,35].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

The properties of SIRT, TVM, and DART for 3D imaging of tubular domains in nanocomposite thin-films and sections

Chen¹,

Goris

Bleichrodt

et al. 2014

Ultramicroscopy

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a b s t r a c tIn electron tomography, the fidelity of the 3D reconstruction strongly depends on the employed reconstruction algorithm. In this paper, the properties of SIRT, TVM and DART reconstructions are studied with respect to having only a limited number of electrons available for imaging and applying different angular sampling schemes. A well-defined realistic model is generated, which consists of tubular domains within a matrix having slab-geometry. Subsequently, the electron tomography workflow is simulated from calculated tilt-series over experimental effects to reconstruction. In comparison with the model, the fidelity of each reconstruction method is evaluated qualitatively and quantitatively based on global and local edge profiles and resolvable distance between particles. Results show that the performance of all reconstruction methods declines with the total electron dose. Overall, SIRT algorithm is the most stable method and insensitive to changes in angular sampling. TVM algorithm yields significantly sharper edges in the reconstruction, but the edge positions are strongly influenced by the tilt scheme and the tubular objects become thinned. The DART algorithm markedly suppresses the elongation artifacts along the beam direction and moreover segments the reconstruction which can be considered a significant advantage for quantification. Finally, no advantage of TVM and DART to deal better with fewer projections was observed.

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Section: Dartmentioning

confidence: 99%