Evidence map›Paper›PMID 32929244›Full record

ArticleNature neuroscience2020

Dense neuronal reconstruction through X-ray holographic nano-tomography.

Aaron T Kuan, Jasper S Phelps, Logan A Thomas, Tri M Nguyen, Julie Han, Chiao-Lin Chen, Anthony W Azevedo, John C Tuthill, Jan Funke, Peter Cloetens and 2 more

Abstract read
In one paragraph

Article in Nature neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

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  19. Review
  20. Near-Freezing-Temperature Golgi Neuronal Staining for X-ray Imaging of Human Brain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article

23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Aaron T Kuan *Department of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1908-7949
Jasper S Phelps *Department of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8033-258X
Logan A ThomasDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.
Tri M NguyenDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9936-1794
Julie HanDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5369-2977
Chiao-Lin ChenDepartment of Genetics, Harvard Medical School, Boston, MA, USA.
Anthony W AzevedoDepartment of Physiology and Biophysics, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-8318-9678
John C TuthillDepartment of Physiology and Biophysics, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-5689-5806
Jan FunkeHHMI Janelia Research Campus, Ashburn, VA, USA.ORCID http://orcid.org/0000-0003-4388-7783
Peter CloetensESRF, The European Synchrotron, Grenoble, France.ORCID http://orcid.org/0000-0002-4129-9091
Alexandra PacureanuDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA. joitapac@esrf.eu.ORCID http://orcid.org/0000-0003-2306-7040
Wei-Chung Allen LeeF.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. wei-chung_lee@hms.harvard.edu.ORCID http://orcid.org/0000-0002-4618-295X

Funding

Project 4: Neural Basis of Behavioral SequencesU19NS104655 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI WILSON, RACHEL · 2017 to 2021
$14.6M
Studying perceptual decision-making across cortex by combining population imaging, connectomics, and computational modelingR01NS108410 · NINDS · HARVARD MEDICAL SCHOOL · PI HARVEY, CHRISTOPHER D, LEE, WEI-CHUNG ALLEN · 2018 to 2022
$5.7M
Neural coding of leg proprioceptionR01NS102333 · NINDS · UNIVERSITY OF WASHINGTON · PI John Tuthill · 2017 to 2026
$3.6M
Howard Hughes Medical InstituteNINDS NIH HHS R01 NS102333NINDS NIH HHS R01 NS108410NINDS NIH HHS U19 NS104655
6 · The paper itself

Abstract

Imaging neuronal networks provides a foundation for understanding the nervous system, but resolving dense nanometer-scale structures over large volumes remains challenging for light microscopy (LM) and electron microscopy (EM). Here we show that X-ray holographic nano-tomography (XNH) can image millimeter-scale volumes with sub-100-nm resolution, enabling reconstruction of dense wiring in Drosophila melanogaster and mouse nervous tissue. We performed correlative XNH and EM to reconstruct hundreds of cortical pyramidal cells and show that more superficial cells receive stronger synaptic inhibition on their apical dendrites. By combining multiple XNH scans, we imaged an adult Drosophila leg with sufficient resolution to comprehensively catalog mechanosensory neurons and trace individual motor axons from muscles to the central nervous system. To accelerate neuronal reconstructions, we trained a convolutional neural network to automatically segment neurons from XNH volumes. Thus, XNH bridges a key gap between LM and EM, providing a new avenue for neural circuit discovery.

Indexed as

AnimalsAxonsCerebral CortexDendritesDrosophila melanogasterFemaleHolographyImage Processing, Computer-AssistedImaging, Three-DimensionalMachine LearningMaleMiceMice, Inbred C57BLMotor NeuronsMuscle, SkeletalNanotechnology

Identifiers

PMID32929244
PMCPMC8354006

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.