Using a modified double deep image prior for crosstalk mitigation in multislice ptychography

Ming Du*, Xiaojing Huang, Chris Jacobsen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Multislice ptychography is a high-resolution microscopy technique used to image multiple separate axial planes using a single illumination direction. However, multislice ptychography reconstructions are often degraded by crosstalk, where some features on one plane erroneously contribute to the reconstructed image of another plane. Here, the use of a modified 'double deep image prior' (DDIP) architecture is demonstrated in mitigating crosstalk artifacts in multislice ptychography. Utilizing the tendency of generative neural networks to produce natural images, a modified DDIP method yielded good results on experimental data. For one of the datasets, it is shown that using DDIP could remove the need of using additional experimental data, such as from X-ray fluorescence, to suppress the crosstalk. This method may help X-ray multislice ptychography work for more general experimental scenarios.

Original languageEnglish (US)
Pages (from-to)1137-1145
Number of pages9
JournalJournal of Synchrotron Radiation
Volume28
DOIs
StatePublished - Jul 1 2021

Keywords

  • Artifact removal
  • Image processing
  • Multislice
  • Neural network
  • Ptychography

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Instrumentation

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