ArticleNeuroImage2020
Retrieving neuronal orientations using 3D scanning SAXS and comparison with diffusion MRI.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Effect of soft tissue sample preparation techniques for scanning small-angle X-ray scattering experiments.Journal of synchrotron radiation · 2026Article
- Fast Small-Angle X-Ray Scattering Tensor Tomography: An Outlook into Future Applications in Life Sciences.Small methods · 2026Article
- Micron-resolution fiber mapping in histology independent of sample preparation.Nature communications · 2025Article
- Micron-resolution fiber mapping in histology independent of sample preparation.bioRxiv : the preprint server for biology · 2025Article
- Biotransformation and biological fate of magnetic iron oxide nanoparticles for biomedical research and clinical applications.Nanoscale advances · 2025Review
- Imaging the structural connectome with hybrid MRI-microscopy tractography.Medical image analysis · 2025Article
- Small-angle scattering tensor tomography algorithm for robust reconstruction of complex textures.Acta crystallographica. Section A, Foundations and advances · 2023Article
- Imaging crossing fibers in mouse, pig, monkey, and human brain using small-angle X-ray scattering.Acta biomaterialia · 2023Article
- Using light and X-ray scattering to untangle complex neuronal orientations and validate diffusion MRI.eLife · 2023Article
- A multiscale tissue assessment in a rat model of mild traumatic brain injury.Journal of neuropathology and experimental neurology · 2022Article
- Scanning x-ray microdiffraction: In situ molecular imaging of tissue and materials.Current opinion in structural biology · 2022Review
- Brain virtual histology with X-ray phase-contrast tomography Part I: whole-brain myelin mapping in white-matter injury models.Biomedical optics express · 2022Article
- Distribution and orientation of nerve fibers and myelin assembly in a brain section retrieved by small-angle neutron scattering.Scientific reports · 2021Article
- Scattered Light Imaging: Resolving the substructure of nerve fiber crossings in whole brain sections with micrometer resolution.NeuroImage · 2021Article
- Nanostructure-specific X-ray tomography reveals myelin levels, integrity and axon orientations in mouse and human nervous tissue.Nature communications · 2021Article
- Label-free X-ray estimation of brain amyloid burden.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
While diffusion MRI (dMRI) is currently the method of choice to non-invasively probe tissue microstructure and study structural connectivity in the brain, its spatial resolution is limited and its results need structural validation. Current ex vivo methods employed to provide 3D fiber orientations have limitations, including tissue-distorting sample preparation, small field of view or inability to quantify 3D fiber orientation distributions. 3D fiber orientation in tissue sections can be obtained from 3D scanning small-angle X-ray scattering (3D sSAXS) by analyzing the anisotropy of scattering signals. Here we adapt the 3D sSAXS method for use in brain tissue, exploiting the high sensitivity of the SAXS signal to the ordered molecular structure of myelin. We extend the characterization of anisotropy from vectors to tensors, employ the Funk-Radon-Transform for converting scattering information to real space fiber orientations, and demonstrate the feasibility of the method in thin sections of mouse brain with minimal sample preparation. We obtain a second rank tensor representing the fiber orientation distribution function (fODF) for every voxel, thereby generating fODF maps. Finally, we illustrate the potential of 3D sSAXS by comparing the result with diffusion MRI fiber orientations in the same mouse brain. We show a remarkably good correspondence, considering the orthogonality of the two methods, i.e. the different physical processes underlying the two signals. 3D sSAXS can serve as validation method for microstructural MRI, and can provide novel microstructural insights for the nervous system, given the method's orthogonality to dMRI, high sensitivity to myelin sheath's orientation and abundance, and the possibility to extract myelin-specific signal and to perform micrometer-resolution scanning.
Indexed as
Identifiers
What OpenQuestion holds
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.