Evidence map›Paper›PMID 37841684›Full record

ArticleFrontiers in neuroscience2023

A rapid workflow for neuron counting in combined light sheet microscopy and magnetic resonance histology.

Yuqi Tian, G Allan Johnson, Robert W Williams, Leonard E White

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Yuqi TianDuke Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, United States.
G Allan JohnsonDuke Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, United States.
Robert W WilliamsDepartment of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States.
Leonard E WhiteDepartment of Neurology, Duke University, Durham, NC, United States.
Duke University · USUniversity of Tennessee Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information on regional variation in cell numbers and densities in the CNS provides critical insight into structure, function, and the progression of CNS diseases. However, variability can be real or a consequence of methods that do not account for technical biases, including morphologic deformations, errors in the application of cell type labels and boundaries of regions, errors of counting rules and sampling sites. We address these issues in a mouse model by introducing a workflow that consists of the following steps: 1. Magnetic resonance histology (MRH) to establish the size, shape, and regional morphology of the mouse brain

Indexed as

light sheet microscopymouse brainneurologic image analysisneuron counting methodneuron density

Identifiers

PMID37841684
PMCPMC10569694
OpenAlexW4387139390

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.