Abstract
In this part we aim to apply the theory derived in the previous parts to the specific problem of reconstructing a tomographic volume for multi-spectral STEM [4] data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
About this chapter
Cite this chapter
Huber, R. (2019). Application to STEM Tomography Reconstruction. In: Variational Regularization for Systems of Inverse Problems. BestMasters. Springer Spektrum, Wiesbaden. https://doi.org/10.1007/978-3-658-25390-5_5
Download citation
DOI: https://doi.org/10.1007/978-3-658-25390-5_5
Published:
Publisher Name: Springer Spektrum, Wiesbaden
Print ISBN: 978-3-658-25389-9
Online ISBN: 978-3-658-25390-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)