ArticleScientific reports2017
Rapid alignment of nanotomography data using joint iterative reconstruction and reprojection.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Data-driven deformation correction in X-ray spectro-tomography with implicit neural networks.Patterns (New York, N.Y.) · 2026Article
- Radial TRASE: 2D RF encoding through mechanical rotation and active digital decoupling.Magnetic resonance in medicine · 2026Article
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- 3D imaging of magnetic domains in NdJournal of synchrotron radiation · 2024Article
- TomoPyUI: a user-friendly tool for rapid tomography alignment and reconstruction.Journal of synchrotron radiation · 2024Article
- Pillar data-acquisition strategies for cryo-electron tomography of beam-sensitive biological samples.Acta crystallographica. Section D, Structural biology · 2024Article
- Towards full-stack deep learning-empowered data processing pipeline for synchrotron tomography experiments.Innovation (Cambridge (Mass.)) · 2024Review
- Article
- Automatic Differentiation for Inverse Problems in X-ray Imaging and Microscopy.Life (Basel, Switzerland) · 2023Article
- Ot2Rec: A semi-automatic, extensible, multi-software tomographic reconstruction workflow.Biological imaging · 2023Article
- Numerical methods for CT reconstruction with unknown geometry parameters.Numerical algorithms · 2023Article
- A deep learning approach for semantic segmentation of unbalanced data in electron tomography of catalytic materials.Scientific reports · 2022Article
- Multiscale Dense U-Net: A Fast Correction Method for Thermal Drift Artifacts in Laboratory NanoCT Scans of Semi-Conductor Chips.Entropy (Basel, Switzerland) · 2022Article
- A joint alignment and reconstruction algorithm for electron tomography to visualize in-depth cell-to-cell interactions.Histochemistry and cell biology · 2022Article
- Joint iterative reconstruction and 3D rigid alignment for X-ray tomography.Optics express · 2022Article
- Fast and noise-tolerant determination of the center of rotation in tomography.Journal of synchrotron radiation · 2022Article
- X-ray in-line holography and holotomography at the NanoMAX beamline.Journal of synchrotron radiation · 2022Article
- A modular software framework for the design and implementation of ptychography algorithms.PeerJ. Computer science · 2022Article
- Motion artifacts assessment and correction using optical tracking in synchrotron radiation breast CT.Medical physics · 2021Article
- Upscaling X-ray nanoimaging to macroscopic specimens.Journal of applied crystallography · 2021Review
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Authors and funding
15 authors.
Funding
Abstract
As x-ray and electron tomography is pushed further into the nanoscale, the limitations of rotation stages become more apparent, leading to challenges in the alignment of the acquired projection images. Here we present an approach for rapid post-acquisition alignment of these projections to obtain high quality three-dimensional images. Our approach is based on a joint estimation of alignment errors, and the object, using an iterative refinement procedure. With simulated data where we know the alignment error of each projection image, our approach shows a residual alignment error that is a factor of a thousand smaller, and it reaches the same error level in the reconstructed image in less than half the number of iterations. We then show its application to experimental data in x-ray and electron nanotomography.
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