Evidence map›Paper›PMID 30837847›Full record

ArticleFrontiers in neuroanatomy2019

Tissue Clearing and Light Sheet Microscopy: Imaging the Unsectioned Adult Zebra Finch Brain at Cellular Resolution.

Mariana Diales Rocha, Daniel Normen Düring, Philipp Bethge, Fabian F Voigt, Staffan Hildebrand, Fritjof Helmchen, Alexander Pfeifer, Richard Hans Robert Hahnloser, Manfred Gahr

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroanatomy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.8field-weighted citation impact, top 4% of its field
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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  8. Cerebrovascular development: mechanisms and experimental approaches.Cellular and molecular life sciences : CMLS · 2021
    Review
  9. Review
  10. A Hydrophobic Tissue Clearing Method for Rat Brain Tissue.Journal of visualized experiments : JoVE · 2020
    Article
  11. Article
  12. Article
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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

9 authors at 4 institutions in 2 countries.

Mariana Diales RochaDepartment of Behavioral Neurobiology, Max Planck Institute for Ornithology, Seewiesen, Germany.
Daniel Normen DüringDepartment of Behavioral Neurobiology, Max Planck Institute for Ornithology, Seewiesen, Germany.
Philipp BethgeNeuroscience Center Zurich (ZNZ), Zurich, Switzerland.
Fabian F VoigtNeuroscience Center Zurich (ZNZ), Zurich, Switzerland.
Staffan HildebrandInstitute of Pharmacology and Toxicology, University Hospital Bonn, University of Bonn, Bonn, Germany.
Fritjof HelmchenNeuroscience Center Zurich (ZNZ), Zurich, Switzerland.
Alexander PfeiferInstitute of Pharmacology and Toxicology, University Hospital Bonn, University of Bonn, Bonn, Germany.
Richard Hans Robert HahnloserInstitute of Neuroinformatics, University of Zurich/ETH Zurich, Zurich, Switzerland.
Manfred GahrDepartment of Behavioral Neurobiology, Max Planck Institute for Ornithology, Seewiesen, Germany.
University of Zurich · CHMax Planck Institute for Ornithology · DEUniversity Hospital Bonn · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inherent complexity of brain tissue, with brain cells intertwining locally and projecting to distant regions, has made three-dimensional visualization of intact brains a highly desirable but challenging task in neuroscience. The natural opaqueness of tissue has traditionally limited researchers to techniques short of single cell resolution such as computer tomography or magnetic resonance imaging. By contrast, techniques with single-cell resolution required mechanical slicing into thin sections, which entails tissue distortions that severely hinder accurate reconstruction of large volumes. Recent developments in tissue clearing and light sheet microscopy have made it possible to investigate large volumes at micrometer resolution. The value of tissue clearing has been shown in a variety of tissue types and animal models. However, its potential for examining the songbird brain remains unexplored. Songbirds are an established model system for the study of vocal learning and sensorimotor control. They share with humans the capacity to adapt vocalizations based on auditory input. Song learning and production are controlled in songbirds by the song system, which forms a network of interconnected discrete brain nuclei. Here, we use the CUBIC and iDISCO+ protocols for clearing adult songbird brain tissue. Combined with light sheet imaging, we show the potential of tissue clearing for the investigation of connectivity between song nuclei, as well as for neuroanatomy and brain vasculature studies.

Indexed as

large volume imaginglight sheet microscopysong systemtissue clearingzebra finch

Identifiers

PMID30837847
PMCPMC6382697
OpenAlexW2911821123

What OpenQuestion holds

Textmetadata
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.