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@ARTICLE{Flenner:611275,
      author       = {Flenner, Silja and Kubec, Adam and David, Christian and
                      Greving, Imke and Hagemann, Johannes},
      title        = {{D}ual-beam {X}-ray nano-holotomography},
      journal      = {Journal of synchrotron radiation},
      volume       = {31},
      number       = {4},
      issn         = {1600-5775},
      publisher    = {Wiley-Blackwell},
      reportid     = {PUBDB-2024-04882},
      pages        = {916-922},
      year         = {2024},
      note         = {This research was supported in part through the
                      Maxwellcomputational resources operated at DESY. Funding
                      isacknowledged from Deutsche Forschungsgemeinschaft
                      (grantNo. 192346071).},
      abstract     = {Nanotomography with hard X-rays is a widely used technique
                      for high-resolution imaging, providing insights into the
                      structure and composition of various materials. In recent
                      years, tomographic approaches based on simultaneous
                      illuminations of the same sample region from different
                      angles by multiple beams have been developed at micrometre
                      image resolution. Transferring these techniques to the
                      nanoscale is challenging due to the loss in photon flux by
                      focusing the X-ray beam. We present an approach for
                      multi-beam nanotomography using a dual-beam Fresnel zone
                      plate (dFZP) in a near-field holography setup. The dFZP
                      generates two nano-focused beams that overlap in the sample
                      plane, enabling the simultaneous acquisition of two
                      projections from slightly different angles. This first
                      proof-of-principle implementation of the dual-beam setup
                      allows for the efficient removal of ring artifacts and noise
                      using machine-learning approaches. The results open new
                      possibilities for full-field multi-beam nanotomography and
                      pave the way for future advancements in fast holotomography
                      and artifact-reduction techniques.},
      cin          = {Hereon / FS-PETRA},
      ddc          = {550},
      cid          = {I:(DE-H253)Hereon-20210428 / I:(DE-H253)FS-PETRA-20140814},
      pnm          = {633 - Life Sciences – Building Blocks of Life: Structure
                      and Function (POF4-633) / 6G3 - PETRA III (DESY) (POF4-6G3)
                      / DFG project 192346071 - SFB 986: Maßgeschneiderte
                      Multiskalige Materialsysteme - M3 (192346071)},
      pid          = {G:(DE-HGF)POF4-633 / G:(DE-HGF)POF4-6G3 /
                      G:(GEPRIS)192346071},
      experiment   = {EXP:(DE-H253)P-P05-20150101},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:38917016},
      UT           = {WOS:001274892400029},
      doi          = {10.1107/S1600577524003801},
      url          = {https://bib-pubdb1.desy.de/record/611275},
}