Evidence map›Paper›PMID 33063286›Full record

ArticleNeuroinformatics2021

An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy.

Johanna Perens, Casper Gravesen Salinas, Jacob Lercke Skytte, Urmas Roostalu, Anders Bjorholm Dahl, Tim B Dyrby, Franziska Wichern, Pernille Barkholt, Niels Vrang, Jacob Jelsing and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Neuroinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
7.7field-weighted citation impact, top 3% 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

55 citing papers in PubMed, 71 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Johanna PerensGubra ApS, 2970, Hørsholm, Denmark.
Casper Gravesen SalinasGubra ApS, 2970, Hørsholm, Denmark.
Jacob Lercke SkytteGubra ApS, 2970, Hørsholm, Denmark.
Urmas RoostaluGubra ApS, 2970, Hørsholm, Denmark.
Anders Bjorholm DahlDepartment of Applied Mathematics and Computer Science, Technical University Denmark, 2800, Kongens Lyngby, Denmark.
Tim B DyrbyDepartment of Applied Mathematics and Computer Science, Technical University Denmark, 2800, Kongens Lyngby, Denmark.
Franziska WichernGubra ApS, 2970, Hørsholm, Denmark.
Pernille BarkholtGubra ApS, 2970, Hørsholm, Denmark.
Niels VrangGubra ApS, 2970, Hørsholm, Denmark.
Jacob JelsingGubra ApS, 2970, Hørsholm, Denmark.
Jacob Hecksher-SørensenGubra ApS, 2970, Hørsholm, Denmark. jhs@gubra.dk.ORCID 0000-0002-5516-6177
Gubra (Denmark) · DKHvidovre Hospital · DKTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the combination of whole-brain immunolabelling, light sheet fluorescence microscopy (LSFM) and subsequent registration of data with a common reference atlas, has enabled 3D visualization and quantification of fluorescent markers or tracers in the adult mouse brain. Today, the common coordinate framework version 3 developed by the Allen's Institute of Brain Science (AIBS CCFv3), is widely used as the standard brain atlas for registration of LSFM data. However, the AIBS CCFv3 is based on histological processing and imaging modalities different from those used for LSFM imaging and consequently, the data differ in both tissue contrast and morphology. To improve the accuracy and speed by which LSFM-imaged whole-brain data can be registered and quantified, we have created an optimized digital mouse brain atlas based on immunolabelled and solvent-cleared brains. Compared to the AIBS CCFv3 atlas, our atlas resulted in faster and more accurate mapping of neuronal activity as measured by c-Fos expression, especially in the hindbrain. We further demonstrated utility of the LSFM atlas by comparing whole-brain quantitative changes in c-Fos expression following acute administration of semaglutide in lean and diet-induced obese mice. In combination with an improved algorithm for c-Fos detection, the LSFM atlas enables unbiased and computationally efficient characterization of drug effects on whole-brain neuronal activity patterns. In conclusion, we established an optimized reference atlas for more precise mapping of fluorescent markers, including c-Fos, in mouse brains processed for LSFM.

Indexed as

BrainNeuronsAlgorithmsAnimalsImaging, Three-DimensionalMiceMicroscopy, FluorescenceBrain atlasC-FosiDISCOLight sheet fluorescence microscopyTissue clearingWhole brain imaging

Identifiers

PMID33063286
PMCPMC8233272
OpenAlexW3092695059

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.