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Analytical and Bioanalytical Chemistry

, Volume 407, Issue 25, pp 7647–7655 | Cite as

Analysis and calibration of stage axial vibration for synchrotron radiation nanoscale computed tomography

  • Jian FuEmail author
  • Chen Li
  • Zhenzhong Liu
Research Paper

Abstract

Synchrotron radiation nanoscale computed tomography (SR nano-CT) is a powerful analysis tool and can be used to perform chemical identification, mapping, or speciation of carbon and other elements together with X-ray fluorescence and X-ray absorption near edge structure (XANES) imaging. In practical applications, there are often challenges for SR nano-CT due to the misaligned geometry caused by the sample stage axial vibration. It occurs quite frequently because of experimental constraints from the mechanical error of manufacturing and assembly and the thermal expansion during the time-consuming scanning. The axial vibration will lead to the structure overlap among neighboring layers and degrade imaging results by imposing artifacts into the nano-CT images. It becomes worse for samples with complicated axial structure. In this work, we analyze the influence of axial vibration on nano-CT image by partial derivative. Then, an axial vibration calibration method for SR nano-CT is developed and investigated. It is based on the cross correlation of plane integral curves of the sample at different view angles. This work comprises a numerical study of the method and its experimental verification using a dataset measured with the full-field transmission X-ray microscope nano-CT setup at the beamline 4W1A of the Beijing Synchrotron Radiation Facility. The results demonstrate that the presented method can handle the stage axial vibration. It can work for random axial vibration and needs neither calibration phantom nor additional calibration scanning. It will be helpful for the development and application of synchrotron radiation nano-CT systems.

Keywords

Synchrotron radiation nanoscale computed tomography Axial vibration Calibration Cross correlation Plane integral curve 

Notes

Acknowledgments

We acknowledge support from the large-scale science facilities joint fund by National Natural Science Foundation of China and Chinese Academy of Science (U1432101, 11179009), Beijing Natural Science Foundation (7152088), Program for New Century Excellent Talents in University (NCET) from Ministry of Education of P.R. China, China Scholarship Council (201306025021), and Beijing NOVA program (2009A09). The experimental data set used for this proposed work was measured at the beamline 4W1A of Beijing Synchrotron Radiation Facility (BSRF, Beijing). J Fu completed his contribution to this work at Department of Bioengineering and School of Medicine of Stanford University as a visiting scholar.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Research Center of Digital Radiation Imaging and Biomedical ImagingBeijing University of Aeronautics and AstronauticsBeijingChina

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