Evidence map›Paper›PMID 30766480›Full record

ArticleFrontiers in neuroanatomy2019

Expansion Light Sheet Microscopy Resolves Subcellular Structures in Large Portions of the Songbird Brain.

Daniel Normen Düring, Mariana Diales Rocha, Falk Dittrich, Manfred Gahr, Richard Hans Robert Hahnloser

Abstract 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  12. Prospects and limitations of expansion microscopy in chromatin ultrastructure determination.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2020
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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

5 authors.

Daniel Normen DüringInstitute of Neuroinformatics, University of Zürich/ETH Zürich, Zurich, Switzerland.
Mariana Diales RochaDepartment of Behavioral Neurobiology, Max Planck Institute for Ornithology, Seewiesen, Germany.
Falk DittrichDepartment of Behavioral Neurobiology, Max Planck Institute for Ornithology, Seewiesen, Germany.
Manfred GahrDepartment of Behavioral Neurobiology, Max Planck Institute for Ornithology, Seewiesen, Germany.
Richard Hans Robert HahnloserInstitute of Neuroinformatics, University of Zürich/ETH Zürich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expansion microscopy and light sheet imaging (ExLSM) provide a viable alternative to existing tissue clearing and large volume imaging approaches. The analysis of intact volumes of brain tissue presents a distinct challenge in neuroscience. Recent advances in tissue clearing and light sheet microscopy have re-addressed this challenge and blossomed into a plethora of protocols with diverse advantages and disadvantages. While refractive index matching achieves near perfect transparency and allows for imaging at large depths, the resolution of cleared brains is usually limited to the micrometer range. Moreover, the often long and harsh tissue clearing protocols hinder preservation of native fluorescence and antigenicity. Here we image large expanded brain volumes of zebra finch brain tissue in commercially available light sheet microscopes. Our expansion light sheet microscopy (ExLSM) approach presents a viable alternative to many clearing and imaging methods because it improves on tissue processing times, fluorophore compatibility, and image resolution.

Indexed as

expansion microscopylarge volume imaginglight sheet microscopysongbirdspine morphologysuper resolution microscopytissue clearing

Identifiers

PMID30766480
PMCPMC6365838

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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.