A high-throughput system for high-quality tomographic reconstruction of large datasets at Diamond Light Source.

ABSTRACT: Tomographic datasets collected at synchrotrons are becoming very large and complex, and, therefore, need to be managed efficiently. Raw images may have high pixel counts, and each pixel can be multidimensional and associated with additional data such as those derived from spectroscopy. In time-resolved studies, hundreds of tomographic datasets can be collected in sequence, yielding terabytes of data. Users of tomographic beamlines are drawn from various scientific disciplines, and many are keen to use tomographic reconstruction software that does not require a deep understanding of reconstruction principles. We have developed Savu, a reconstruction pipeline that enables users to rapidly reconstruct data to consistently create high-quality results. Savu is designed to work in an 'orthogonal

SUBMITTER: Atwood RC 

PROVIDER: S-EPMC4424489 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature