ArticleeNeuro2025
FAST: Fast, Free, Consistent, and Unsupervised Oligodendrocyte Segmentation and Tracking System.
Eunchan Bae, Gregory E Perrin, Virgilio Gonzenbach, Jennifer L Orthmann-Murphy, Russell T Shinohara
Abstract read
In one paragraphArticle in eNeuro, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0citing papers in PubMed
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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 registryThe 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.
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3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
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4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
5 authors.
Eunchan BaePenn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.ORCID https://orcid.org/0000-0003-2941-3717 Gregory E PerrinDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
Virgilio GonzenbachPenn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
Jennifer L Orthmann-MurphyDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104 Jennifer.Orthmann-Murphy@pennmedicine.upenn.edu russell.shinohara@pennmedicine.upenn.edu.
Russell T ShinoharaPenn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104 Jennifer.Orthmann-Murphy@pennmedicine.upenn.edu russell.shinohara@pennmedicine.upenn.edu.
Funding
Statistical methods for large and complex databases of ultra-high-dimensionalR01NS085211 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2013 to 2017
$1.8MNINDS NIH HHS R01 NS085211
6 · The paper itselfAbstract
To develop reparative therapies for neurological disorders like multiple sclerosis (MS), we need to better understand the physiology of loss and replacement of oligodendrocytes, the cells that make myelin and are the target of damage in MS.
Indexed as
BrainCell TrackingImage Processing, Computer-AssistedOligodendrogliaSoftwareAlgorithmsAnimalsHumansImaging, Three-DimensionalMiceMice, TransgenicMicroscopy, Fluorescence, Multiphotoncell annotationcell trackinggliain vivo Imagingmicroscopy image processingoligodendrocytestwo-photon imaging
Identifiers
PMID39788730
PMCPMC11820958
What Socratic holds
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LicenceCC BY
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