ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2015
A high-throughput system for high-quality tomographic reconstruction of large datasets at Diamond Light Source.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
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- High-energy synchrotron X-ray multimodal computed tomography: enabling multiscale materials characterization at NSLS-II.Journal of synchrotron radiation · 2026Article
- Engineering biomimetic zonal properties in fibre-reinforced hydrogels for functional cartilage tissue engineeringMaterials today. Bio · 2025Article
- Article
- Demonstrating Faster Multi-Label Grey-Level Analysis for Crack Detection in Ex Situ and Operando Micro-CT Images of NMC Electrode.Small methods · 2025Article
- Cranial bone microarchitecture in a mouse model for syndromic craniosynostosis.Journal of anatomy · 2024Article
- Accelerating imaging research at large-scale scientific facilities through scientific computing.Journal of synchrotron radiation · 2024Article
- Mapping of lithium ion concentrations in 3D structures through development of in situ correlative imaging of X-ray Compton scattering-computed tomography.Journal of synchrotron radiation · 2024Article
- The DIAD Approach to Correlative Synchrotron X-ray Imaging and Diffraction Analysis of Human Enamel.Chemical & biomedical imaging · 2024Article
- Advanced Time-Stepping Interpretation of Fly-Scan Continuous Rotation Synchrotron Tomography of Dental Enamel Demineralization.Chemical & biomedical imaging · 2024Article
- Technical note: Cartilage imaging with sub-cellular resolution using a laboratory-based phase-contrast x-ray microscope.Medical physics · 2023Article
- A well-preserved 'placoderm' (stem-group Gnathostomata) upper jaw from the Early Devonian of Mongolia clarifies jaw evolution.Royal Society open science · 2023Article
- Towards routine 3D characterization of intact mesoscale samples by multi-scale and multimodal scanning X-ray tomography.Scientific reports · 2022Article
- On Acquisition Parameters and Processing Techniques for Interparticle Contact Detection in Granular Packings Using Synchrotron Computed Tomography.Journal of imaging · 2022Article
- Tofu: a fast, versatile and user-friendly image processing toolkit for computed tomography.Journal of synchrotron radiation · 2022Article
- Regional variations in discrete collagen fibre mechanics within intact intervertebral disc resolved using synchrotron computed tomography and digital volume correlation.Acta biomaterialia · 2022Article
- Core Imaging Library - Part I: a versatile Python framework for tomographic imaging.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Article
- 3D cyclorama for digital unrolling and visualisation of deformed tubes.Scientific reports · 2021Article
- A massively multi-scale approach to characterizing tissue architecture by synchrotron micro-CT applied to the human placenta.Journal of the Royal Society, Interface · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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' fashion, meaning that data can be converted between projection and sinogram space throughout the processing workflow as required. The Savu pipeline is modular and allows processing strategies to be optimized for users' purposes. In addition to the reconstruction algorithms themselves, it can include modules for identification of experimental problems, artefact correction, general image processing and data quality assessment. Savu is open source, open licensed and 'facility-independent': it can run on standard cluster infrastructure at any institution.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.