2016
DOI: 10.1016/j.sab.2016.01.002
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To get the most out of high resolution X-ray tomography: A review of the post-reconstruction analysis

Abstract: X-ray microscopy has been well-recognized as one of the most important techniques for research in a wide range of scientific disciplines including materials science, geoscience, and bio-medical science. Advances in X-ray sources, optics, detectors, and imaging methodologies have made significant improvements to non-destructive reconstructions of the three dimensional (3D) structure of specimens over a wide range of length scales with different contrast mechanisms. A strength of 3D imaging is a "seeing is belie… Show more

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Cited by 39 publications
(22 citation statements)
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References 171 publications
(168 reference statements)
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“…By taking TXM projection images over a range of angles, the sample can be reconstructed into a real‐space 3D image through computing algorithms . This method is also known as X‐ray tomographic microscopy, which can be conducted at fixed energy or within the XANES energy range .…”
Section: Theories and Methodologiesmentioning
confidence: 99%
“…By taking TXM projection images over a range of angles, the sample can be reconstructed into a real‐space 3D image through computing algorithms . This method is also known as X‐ray tomographic microscopy, which can be conducted at fixed energy or within the XANES energy range .…”
Section: Theories and Methodologiesmentioning
confidence: 99%
“…When the X-ray tomography technique is used, a series of X-ray images at different angles are recorded (the sample is rotated along an axis that is perpendicular to the incident X-rays) and then reconstructed by computer to produce the 3D images 58 . This X-ray tomography technique using synchrotron X-ray sources has been applied to the in situ/operando studies on dynamic 3D morphological changes during electrochemical reactions.…”
Section: In Situ X-ray Imagingmentioning
confidence: 99%
“…We used TXM-Wizard, a software developed and described by Liu et al (2011Liu et al ( , 2016, to reconstruct the 3-D spatial distribution of the different components starting from the 2-D projections. The algorithm used was the iterative algebraic reconstruction technique (ART) with 20 iterations (beyond 20 iterations, the quality of the reconstructed images did not improve significantly).…”
Section: Reconstruction and 3-d Data Analysismentioning
confidence: 99%