Evidence map›Paper›PMID 37653226›Full record

ArticleNature biotechnology2024

Imaging brain tissue architecture across millimeter to nanometer scales.

Julia M Michalska, Julia Lyudchik, Philipp Velicky, Hana Štefaničková, Jake F Watson, Alban Cenameri, Christoph Sommer, Nicole Amberg, Alessandro Venturino, Karl Roessler and 6 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  11. Brain imaging turned inside out.Nature biotechnology · 2024
    Article
  12. Article
  13. Fluorescence microscopy shadow imaging for neuroscience.Frontiers in cellular neuroscience · 2024
    Review
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

16 authors.

Julia M MichalskaInstitute of Science and Technology Austria, Klosterneuburg, Austria.
Julia LyudchikInstitute of Science and Technology Austria, Klosterneuburg, Austria.
Philipp VelickyInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID http://orcid.org/0000-0002-2340-7431
Hana ŠtefaničkováInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID http://orcid.org/0000-0001-8455-0891
Jake F WatsonInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID http://orcid.org/0000-0002-8698-3823
Alban CenameriInstitute of Science and Technology Austria, Klosterneuburg, Austria.
Christoph SommerInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID http://orcid.org/0000-0003-1216-9105
Nicole AmbergDepartment of Neurology, Division of Neuropathology and Neurochemistry, Medical University of Vienna, Vienna, Austria.
Alessandro VenturinoInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID http://orcid.org/0000-0003-2356-9403
Karl RoesslerComprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
Thomas CzechComprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
Romana HöftbergerDepartment of Neurology, Division of Neuropathology and Neurochemistry, Medical University of Vienna, Vienna, Austria.
Sandra SiegertInstitute of Science and Technology Austria, Klosterneuburg, Austria.ORCID http://orcid.org/0000-0001-8635-0877
Gaia NovarinoInstitute of Science and Technology Austria, Klosterneuburg, Austria.
Peter JonasInstitute of Science and Technology Austria, Klosterneuburg, Austria.
Johann G DanzlInstitute of Science and Technology Austria, Klosterneuburg, Austria. johann.danzl@ista.ac.at.ORCID http://orcid.org/0000-0001-8559-3973

Funding

Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) DK W1232Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) DOC 33-B27Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) I3600-B27Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) I4685-BAustrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) I6565-BAustrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) Z 312-B27Austrian Science Fund FWF I 3600Austrian Science Fund FWF I 4685Austrian Science Fund FWF W 1232EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 692692EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 715508EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 101026635EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 665385
6 · The paper itself

Abstract

Mapping the complex and dense arrangement of cells and their connectivity in brain tissue demands nanoscale spatial resolution imaging. Super-resolution optical microscopy excels at visualizing specific molecules and individual cells but fails to provide tissue context. Here we developed Comprehensive Analysis of Tissues across Scales (CATS), a technology to densely map brain tissue architecture from millimeter regional to nanometer synaptic scales in diverse chemically fixed brain preparations, including rodent and human. CATS uses fixation-compatible extracellular labeling and optical imaging, including stimulated emission depletion or expansion microscopy, to comprehensively delineate cellular structures. It enables three-dimensional reconstruction of single synapses and mapping of synaptic connectivity by identification and analysis of putative synaptic cleft regions. Applying CATS to the mouse hippocampal mossy fiber circuitry, we reconstructed and quantified the synaptic input and output structure of identified neurons. We furthermore demonstrate applicability to clinically derived human tissue samples, including formalin-fixed paraffin-embedded routine diagnostic specimens, for visualizing the cellular architecture of brain tissue in health and disease.

Indexed as

BrainAnimalsHumansImaging, Three-DimensionalMiceSynapses

Identifiers

PMID37653226
PMCPMC11252008

What OpenQuestion holds

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LicenceCC BY
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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.