Literature DB >> 30461860

Rotation-as-fast-axis scanning-probe x-ray tomography: the importance of angular diversity for fly-scan modes.

Daniel J Ching, Mert Hidayetoğlu, Tekin Biçer, Doğa Gürsoy.   

Abstract

We investigate the effects of angular diversity on image-reconstruction quality of scanning-probe x-ray tomography for both fly- and step-mode data collection. We propose probe-coverage maps as a tool for both visualizing and quantifying the distribution of probe interactions with the object. We show that data sampling with more angular diversity yields better tomographic image reconstruction as long as it does not come at the cost of not covering some voxels in the object. Therefore, for fly-mode data collection, rotation-as-fast-axis (RAFA) trajectories are superior to raster or other non-RAFA trajectories because they allow for the increasing of angular diversity without sacrificing spatial coverage uniformity. In contrast, for step-mode data collection and a fixed measurement budget, increasing angular diversity can come at the cost of not covering some voxels, and may not be desired. This study has implications for how scanning-probe microscopes should be collecting data in order to make the most of limited resources.

Year:  2018        PMID: 30461860     DOI: 10.1364/AO.57.008780

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  1 in total

1.  Scalable and accurate multi-GPU-based image reconstruction of large-scale ptychography data.

Authors:  Xiaodong Yu; Viktor Nikitin; Daniel J Ching; Selin Aslan; Doğa Gürsoy; Tekin Biçer
Journal:  Sci Rep       Date:  2022-03-29       Impact factor: 4.996

  1 in total

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