Evidence map›Paper›PMID 29782884›Full record

ArticleJournal of neuroscience methods2018

Semi-automated quantification and neuroanatomical mapping of heterogeneous cell populations.

Oscar A Mendez, Colin J Potter, Michael Valdez, Thomas Bello, Theodore P Trouard, Anita A Koshy

Abstract readValidation Study
In one paragraph

Article in Journal of neuroscience methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Injection witheLife · 2021
    Article
  7. Imaging the dynamic recruitment of monocytes to the blood-brain barrier and specific brain regions duringProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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

6 authors.

Oscar A MendezGraduate Interdisciplinary Program in Neuroscience, University of Arizona, Tucson, Arizona, United States; BIO5 Institute, University of Arizona, Tucson, Arizona, United States.
Colin J PotterNeuroscience and Cognitive Science Undergraduate Program, University of Arizona, Tucson, Arizona, United States.
Michael ValdezDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, United States.
Thomas BelloBIO5 Institute, University of Arizona, Tucson, Arizona, United States.
Theodore P TrouardDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, United States; BIO5 Institute, University of Arizona, Tucson, Arizona, United States; Department of Medical Imaging, University of Arizona, Tucson, Arizona, United States.
Anita A KoshyBIO5 Institute, University of Arizona, Tucson, Arizona, United States; Department of Immunobiology, University of Arizona, Tucson, Arizona, United States; Department of Neurology, University of Arizona, Tucson, Arizona, United States. Electronic address: akoshy@email.arizona.edu.

Funding

Defining neuron-Toxoplasma gondii interactions that mediate CNS toxoplasmosisR01NS095994 · NINDS · UNIVERSITY OF ARIZONA · PI KOSHY, ANITA · 2016 to 2020
$2.0M
NINDS NIH HHS R01 NS095994
6 · The paper itself

Abstract

backgroundOur group studies the interactions between cells of the brain and the neurotropic parasite Toxoplasma gondii. Using an in vivo system that allows us to permanently mark and identify brain cells injected with Toxoplasma protein, we have identified that Toxoplasma-injected neurons (TINs) are heterogeneously distributed throughout the brain. Unfortunately, standard methods to quantify and map heterogeneous cell populations onto a reference brain atlas are time consuming and prone to user bias. NEW

methodWe developed a novel MATLAB-based semi-automated quantification and mapping program to allow the rapid and consistent mapping of heterogeneously distributed cells on to the Allen Institute Mouse Brain Atlas. The system uses two-threshold background subtraction to identify and quantify cells of interest.

resultsWe demonstrate that we reliably quantify and neuroanatomically localize TINs with low intra- or inter-observer variability. In a follow up experiment, we show that specific regions of the mouse brain are enriched with TINs. COMPARISON WITH EXISTING

methodsThe procedure we use takes advantage of simple immunohistochemistry labeling techniques, use of a standard microscope with a motorized stage, and low cost computing that can be readily obtained at a research institute. To our knowledge there is no other program that uses such readily available techniques and equipment for mapping heterogeneous populations of cells across the whole mouse brain.

conclusionThe quantification method described here allows reliable visualization, quantification, and mapping of heterogeneous cell populations in immunolabeled sections across whole mouse brains.

Indexed as

AnimalsAtlases as TopicBrainImage Processing, Computer-AssistedImmunohistochemistryMice, Inbred C3HMice, TransgenicNeuronsObserver VariationPattern Recognition, AutomatedSoftwareToxoplasmaToxoplasmosis, AnimalToxoplasmosis, CerebralAtlasCell-mappingImage processingSemi-automated quantificationToxoplasma gondii

Identifiers

PMID29782884
PMCPMC6357967

What OpenQuestion holds

Textmetadata
LicenceTDM
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.