Evidence map›Paper›PMID 26772546›Full record

ArticleBMC bioinformatics2016

IPLaminator: an ImageJ plugin for automated binning and quantification of retinal lamination.

Shuai Li, Michael Woodfin, Seth S Long, Peter G Fuerst

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Protocadherin 9 Promotes Cell Survival of Different Bipolar Cell Types in the Developing Mouse Retina.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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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

4 authors at 2 institutions in 1 country.

Shuai LiDepartment of Biological Sciences, University of Idaho, 145 Life Science South, Moscow, ID, 83844, USA.
Michael WoodfinDepartment of Computer Sciences, Lewis-Clark State College, Lewiston, ID, 83501, USA.
Seth S LongDepartment of Computer Sciences, Lewis-Clark State College, Lewiston, ID, 83501, USA.
Peter G FuerstDepartment of Biological Sciences, University of Idaho, 145 Life Science South, Moscow, ID, 83844, USA. fuerst@uidaho.edu.
Lewis Clark State College · USUniversity of Idaho · US

Funding

Women's health: interplay of maternal diet and key demographics on neurological health in the rural frontier and remote WestP20GM103408 · NIGMS · UNIVERSITY OF IDAHO · PI Scott A Minnich · 2012 to 2026
$59.8M
Role of molecular recognition in retinal patterning and synaptic organizationR01EY020857 · NEI · UNIVERSITY OF IDAHO · PI FUERST, PETER GERARD · 2010 to 2014
$1.2M
NEI NIH HHS EY020857NEI NIH HHS R01 EY020857NIGMS NIH HHS P20 GM103408
6 · The paper itself

Abstract

backgroundInformation in the brain is often segregated into spatially organized layers that reflect the function of the embedded circuits. This is perhaps best exemplified in the layering, or lamination, of the retinal inner plexiform layer (IPL). The neurites of the retinal ganglion, amacrine and bipolar cell subtypes that form synapses in the IPL are precisely organized in highly refined strata within the IPL. Studies focused on developmental organization and cell morphology often use this layered stratification to characterize cells and identify the function of genes in development of the retina. A current limitation to such analysis is the lack of standardized tools to quantitatively analyze this complex structure. Most previous work on neuron stratification in the IPL is qualitative and descriptive.

resultsIn this study we report the development of an intuitive platform to rapidly and reproducibly assay IPL lamination. The novel ImageJ based software plugin we developed: IPLaminator, rapidly analyzes neurite stratification patterns in the retina and other neural tissues. A range of user options allows researchers to bin IPL stratification based on fixed points, such as the neurites of cholinergic amacrine cells, or to define a number of bins into which the IPL will be divided. Options to analyze tissues such as cortex were also added. Statistical analysis of the output then allows a quantitative value to be assigned to differences in laminar patterning observed in different models, genotypes or across developmental time.

conclusionIPLaminator is an easy to use software application that will greatly speed and standardize quantification of neuron organization.

Indexed as

Nerve NetNeuritesSoftwareAmacrine CellsAnimalsComputational BiologyHumansRetinal Ganglion CellsSynapses

Identifiers

PMID26772546
PMCPMC4715356
OpenAlexW2268941139

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.