Evidence map›Paper›PMID 35396257›Full record

ArticleeNeuro

A Semi-Automated Workflow for Brain Slice Histology Alignment, Registration, and Cell Quantification (SHARCQ).

Kristoffer Lauridsen, Annie Ly, Emily D Prévost, Connor McNulty, Dillon J McGovern, Jian Wei Tay, Joseph Dragavon, David H Root

Open access · goldAbstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.6field-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

20 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  3. Central amygdalar PKCδ neurons mediate fentanyl withdrawal.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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  7. VTA µ-Opioidergic Neurons Facilitate Low Sociability in Protracted Opioid Abstinence.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  11. Monosynaptic Inputs to Ventral Tegmental Area Glutamate and GABA Co-transmitting Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  12. Article
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  15. A newbioRxiv : the preprint server for biology · 2024
    Article
  16. Ventral tegmental area glutamate neurons establish a mu-opioid receptor gated circuit to mesolimbic dopamine neurons and regulate opioid-seeking behavior.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
  17. Article
  18. Article
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  20. 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

8 authors at 1 institution in 1 country.

Kristoffer LauridsenDepartment of Psychology and Neuroscience, University of Colorado, Boulder, CO 80301.
Annie LyDepartment of Psychology and Neuroscience, University of Colorado, Boulder, CO 80301.
Emily D PrévostDepartment of Psychology and Neuroscience, University of Colorado, Boulder, CO 80301.
Connor McNultyDepartment of Psychology and Neuroscience, University of Colorado, Boulder, CO 80301.ORCID 0000-0002-2988-0406
Dillon J McGovernDepartment of Psychology and Neuroscience, University of Colorado, Boulder, CO 80301.
Jian Wei TayBioFrontiers Institute, University of Colorado, Boulder, CO 80303.
Joseph DragavonBioFrontiers Institute, University of Colorado, Boulder, CO 80303.
David H RootDepartment of Psychology and Neuroscience, University of Colorado, Boulder, CO 80301 david.root@colorado.edu.
University of Colorado Boulder · US

Funding

Genetic dissection of ventral tegmental area glutamate and GABA neurons in reward and aversionR01DA047443 · NIDA · UNIVERSITY OF COLORADO · PI ROOT, DAVID H · 2020 to 2024
$1.7M
Opera Phenix High Throughput and High Content Confocal MicroscopeS10OD025072 · OD · UNIVERSITY OF COLORADO · PI LIU, XUEDONG · 2018 to 2018
$1.1M
Balancing excitatory and inhibitory LHb signaling underlying stressF31MH125569 · NIMH · UNIVERSITY OF COLORADO · PI MCGOVERN, DILLON · 2021 to 2022
$78k
NIDA NIH HHS R01 DA047443NIH HHS S10 OD025072NIMH NIH HHS F31 MH125569
6 · The paper itself

Abstract

Tools for refined cell-specific targeting have significantly contributed to understanding the characteristics and dynamics of distinct cellular populations by brain region. While advanced cell-labeling methods have accelerated the field of neuroscience, specifically in brain mapping, there remains a need to quantify and analyze the data. Here, by modifying a toolkit that localizes electrodes to brain regions (SHARP-Track; Slice Histology Alignment, Registration, and Probe-Track analysis), we introduce a post-imaging analysis tool to map histological images to established mouse brain atlases called SHARCQ (Slice Histology Alignment, Registration, and Cell Quantification). The program requires MATLAB, histological images, and either a manual or automatic cell count of the unprocessed images. SHARCQ simplifies the post-imaging analysis pipeline with a step-by-step GUI. We demonstrate that SHARCQ can be applied for a variety of mouse brain images, regardless of histology technique. In addition, SHARCQ rectifies discrepancies in mouse brain region borders between atlases by allowing the user to select between the Allen Brain Atlas or the digitized and modified Franklin-Paxinos Atlas for quantifying cell counts by region. SHARCQ produces quantitative and qualitative data, including counts of brain-wide region populations and a 3D model of registered cells within the atlas space. In summary, SHARCQ was designed as a neuroscience post-imaging analysis tool for cell-to-brain registration and quantification with a simple, accessible interface. All code is open-source and available for download (https://github.com/wildrootlab/SHARCQ).

Indexed as

BrainImage Processing, Computer-AssistedAnimalsBrain MappingHistological TechniquesMagnetic Resonance ImagingMiceWorkflowatlas registrationbrain mappingcell-type

Identifiers

PMID35396257
PMCPMC9034756
OpenAlexW4223598649

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.