Jitter correction for transmission X-ray microscopy via measurement of geometric moments

Transmission X-ray microscopes (TXMs) have become one of the most powerful tools for imaging 3D structures of nano-scale samples using the computed tomography (CT) principle. As a major error source, sample jitter caused by mechanical instability of the rotation stage produces shifted 2D projections...

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Veröffentlicht in:Journal of synchrotron radiation. - 1994. - 26(2019), Pt 5 vom: 01. Sept., Seite 1808-1814
1. Verfasser: Wang, Shengxiang (VerfasserIn)
Weitere Verfasser: Liu, Jianhong, Li, Yinghao, Chen, Jian, Guan, Yong, Zhu, Lei
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2019
Zugriff auf das übergeordnete Werk:Journal of synchrotron radiation
Schlagworte:Journal Article TXM alignment geometric moment jitter correction motion artifact
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520 |a Transmission X-ray microscopes (TXMs) have become one of the most powerful tools for imaging 3D structures of nano-scale samples using the computed tomography (CT) principle. As a major error source, sample jitter caused by mechanical instability of the rotation stage produces shifted 2D projections, from which reconstructed images contain severe motion artifacts. In this paper, a jitter correction algorithm is proposed, that has high accuracy and computational efficiency for TXM experiments with or without nano-particle markers. Geometric moments (GMs) are measured on segmented projections for each angle and fitted to sinusoidal curves in the angular direction. Sample jitter is estimated from the difference between the measured and the fitted GMs for image correction. On a digital phantom, the proposed method removes jitter errors at different noise levels. Physical experiments on chlorella cells show that the proposed GM method achieves better spatial resolution and higher computational efficiency than the re-projection method, a state-of-the-art algorithm using iterative correction. It even outperforms the approach of manual alignment, the current gold standard, on faithfully maintaining fine structures on the CT images. Our method is practically attractive in that it is computationally efficient and lowers experimental costs in current TXM studies without using expensive nano-particles markers 
650 4 |a Journal Article 
650 4 |a TXM 
650 4 |a alignment 
650 4 |a geometric moment 
650 4 |a jitter correction 
650 4 |a motion artifact 
700 1 |a Liu, Jianhong  |e verfasserin  |4 aut 
700 1 |a Li, Yinghao  |e verfasserin  |4 aut 
700 1 |a Chen, Jian  |e verfasserin  |4 aut 
700 1 |a Guan, Yong  |e verfasserin  |4 aut 
700 1 |a Zhu, Lei  |e verfasserin  |4 aut 
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