Optimization-based simultaneous alignment and reconstruction in multi-element tomography

Zichao Di*, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan M. Wild, Stefan Vogt

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


As x-ray microscopy is pushed into the nanoscale with the advent of more bright and coherent x-ray sources, associated improvement in spatial resolution becomes highly vulnerable to geometrical errors and uncertainties during data collection. We address a form of error in tomography experiments, namely, the drift between projections during the tomographic scan. Our proposed method can simultaneously recover the drift, while tomographically reconstructing the specimen based on a joint iterative optimization scheme. This approach utilizes the correlation provided from different view angles and different signals. While generally applicable, we demonstrate our method on x-ray fluorescence tomography from a tissue specimen and compare the reconstruction quality with conventional methods.

Original languageEnglish (US)
Pages (from-to)4331-4334
Number of pages4
JournalOptics Letters
Issue number17
StatePublished - Sep 1 2019

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


Dive into the research topics of 'Optimization-based simultaneous alignment and reconstruction in multi-element tomography'. Together they form a unique fingerprint.

Cite this