Evidence map›Paper›PMID 41767922›Full record

ArticleBiomedical optics express2025

Scaling up X-ray holographic nanotomography for neuronal tissue imaging.

Jayde Livingstone, Carles Bosch, Aaron T Kuan, Lucas Benoït, Paolo Busca, Thierry Martin, Mohd F E B Mazri, Wangchu Xiang, Wei-Chung Allen Lee, Andreas T Schaefer and 2 more

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. HoToPy: a toolbox for X-ray holo-tomography in Python.Journal of synchrotron radiation · 2025
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jayde LivingstoneESRF, The European Synchrotron, Grenoble, France.ORCID https://orcid.org/0000-0002-3483-7453
Carles BoschSensory Circuits and Neurotechnology Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID https://orcid.org/0000-0003-4179-0451
Aaron T KuanDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-1908-7949
Lucas BenoïtESRF, The European Synchrotron, Grenoble, France.
Paolo BuscaESRF, The European Synchrotron, Grenoble, France.
Thierry MartinESRF, The European Synchrotron, Grenoble, France.
Mohd F E B MazriDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.
Wangchu XiangDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.
Wei-Chung Allen LeeDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-4618-295X
Andreas T SchaeferSensory Circuits and Neurotechnology Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID https://orcid.org/0000-0002-4677-8788
Peter CloetensESRF, The European Synchrotron, Grenoble, France.ORCID https://orcid.org/0000-0002-4129-9091
Alexandra PacureanuESRF, The European Synchrotron, Grenoble, France.ORCID https://orcid.org/0000-0003-2306-7040

Funding

Comprehensive and multi-resolution mapping of cell morphology and wiring through X-ray holographic nano-tomographyRF1MH128949 · NIMH · HARVARD MEDICAL SCHOOL · PI JOITA PACUREANU, ALEXANDRA TEODORA, LEE, WEI-CHUNG ALLEN · 2021 to 2021
$1.9M
NIMH NIH HHS RF1 MH128949
6 · The paper itself

Abstract

Neuronal circuit reconstruction from X-ray holographic nanotomography (XNH) images of neuronal tissue requires overcoming limits in acquisition speed, image quality, and sample size. To fully exploit the higher brilliance of the European Synchrotron's upgraded source, advances in endstation instrumentation and adapted data collection strategies are necessary. A detector upgrade combined with continuous scanning for XNH of neural tissue samples at the ESRF's ID16A beamline demonstrates preserved or improved quality of images of large samples whilst increasing data acquisition time by more than a factor of two. This is a critical step in enabling the scaling up of XNH for neuronal tissue imaging.

Identifiers

PMID41767922
PMCPMC12945482

What OpenQuestion holds

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Registered trials

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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.