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Tomosaic : efficient acquisition and reconstruction of teravoxel tomography data using limited‐size synchrotron X‐ray beams
Author(s) -
Vescovi Rafael,
Du Ming,
de Andrade Vincent,
Scullin William,
Gürsoy Dogˇa,
Jacobsen Chris
Publication year - 2018
Publication title -
journal of synchrotron radiation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.172
H-Index - 99
ISSN - 1600-5775
DOI - 10.1107/s1600577518010093
Subject(s) - image stitching , beamline , synchrotron , computer science , software , data acquisition , tomography , optics , tomographic reconstruction , synchrotron light source , computer graphics (images) , physics , computer vision , beam (structure) , storage ring , programming language , operating system
X‐rays offer high penetration with the potential for tomography of centimetre‐sized specimens, but synchrotron beamlines often provide illumination that is only millimetres wide. Here an approach is demonstrated termed Tomosaic for tomographic imaging of large samples that extend beyond the illumination field of view of an X‐ray imaging system. This includes software modules for image stitching and calibration, while making use of existing modules available in other packages for alignment and reconstruction. The approach is compatible with conventional beamline hardware, while providing a dose‐efficient method of data acquisition. By using parallelization on a distributed computing system, it provides a solution for handling teravoxel‐sized or larger datasets that cannot be processed on a single workstation in a reasonable time. Using experimental data, the package is shown to provide good quality three‐dimensional reconstruction for centimetre‐sized samples with sub‐micrometre pixel size.

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