ArticleNature communications2019
Ab initio nonrigid X-ray nanotomography.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Unlocking the potential of X-rays to scale up tissue ultrastructure mapping.Nature methods · 2025Article
- Nondestructive X-ray tomography of brain tissue ultrastructure.Nature methods · 2025Article
- Article
- Dynamic sparse x-ray nanotomography reveals ionomer hydration mechanism in polymer electrolyte fuel-cell catalyst.Science advances · 2024Article
- Article
- Article
- 2D vs. 3D Evaluation of Osteocyte Lacunae - Methodological Approaches, Recommended Parameters, and Challenges: A Narrative Review by the European Calcified Tissue Society (ECTS).Current osteoporosis reports · 2024Review
- Towards routine 3D characterization of intact mesoscale samples by multi-scale and multimodal scanning X-ray tomography.Scientific reports · 2022Article
- Environmental control for X-ray nanotomography.Journal of synchrotron radiation · 2022Article
- Joint iterative reconstruction and 3D rigid alignment for X-ray tomography.Optics express · 2022Article
- Adjoint image warping using multivariate splines with application to four-dimensional computed tomography.Medical physics · 2021Article
- Adorym: a multi-platform generic X-ray image reconstruction framework based on automatic differentiation.Optics express · 2021Article
- Improving image quality in fast, time-resolved micro-CT by weighted back projection.Scientific reports · 2020Article
- In-Situ X-ray Imaging Of Sublimating Spin-Frozen Solutions.Materials (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reaching the full potential of X-ray nanotomography, in particular for biological samples, is limited by many factors, of which one of the most serious is radiation damage. Although sample deformation caused by radiation damage can be partly mitigated by cryogenic protection, it is still present in these conditions and, as we exemplify here using a specimen extracted from scales of the Cyphochilus beetle, it will pose a limit to the achievable imaging resolution. We demonstrate a generalized tomographic model, which optimally follows the sample morphological changes and attempts to recover the original sample structure close to the ideal, damage-free reconstruction. Whereas our demonstration was performed using ptychographic X-ray tomography, the method can be adopted for any tomographic imaging modality. Our application demonstrates improved reconstruction quality of radiation-sensitive samples, which will be of increasing relevance with the higher brightness of 4th generation synchrotron sources.
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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.