Evidence map›Paper›PMID 38544681›Full record

ArticleIEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference2022

Classification of Activated Microglia by Convolutional Neural Networks.

Chao-Hsiung Hsu, Artur Agaronyan, Raffensperger Katherine, Micah Kadden, Hoai T Ton, Frank Wu, Yu-Shun Lin, Yih-Jing Lee, Paul C Wang, Michael Shoykhet and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

11 authors at 3 institutions in 2 countries.

Chao-Hsiung HsuMolecular Imaging Laboratory, Department of Radiology, Howard University, Washington, DC, USA.
Artur AgaronyanMolecular Imaging Laboratory, Department of Radiology, Howard University, Washington, DC, USA.
Raffensperger KatherineDepartment of Critical Care Medicine, Children's National Hospital, Washington, DC, USA.
Micah KaddenDepartment of Critical Care Medicine, Children's National Hospital, Washington, DC, USA.
Hoai T TonDepartment of Critical Care Medicine, Children's National Hospital, Washington, DC, USA.
Frank WuMolecular Imaging Laboratory, Department of Radiology, Howard University, Washington, DC, USA.
Yu-Shun LinMolecular Imaging Laboratory, Department of Radiology, Howard University, Washington, DC, USA.
Yih-Jing LeeSchool of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.
Paul C WangMolecular Imaging Laboratory, Department of Radiology, Howard University, Washington, DC, USA.
Michael ShoykhetDepartment of Critical Care Medicine, Children's National Hospital, Washington, DC, USA.
Tsang-Wei TuMolecular Imaging Laboratory, Department of Radiology, Howard University, Washington, DC, USA.
Howard University · USChildren's National · USFu Jen Catholic University · TW

Funding

Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
Sleep Disorders in Adults with Sickle Cell Disease: Frequency, Associations with Cardiovascular and Pain Indicators, and Responses to TreatmentU54MD007597 · NIMHD · HOWARD UNIVERSITY · PI William M. Southerland · 2019 to 2026
$37.7M
Neurobehavioral Evaluation CoreP50HD105328 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI WILLIAM Davis GAILLARD · 2021 to 2026
$9.3M
Axonoprotection in pediatric cardiac arrestR01NS112294 · NINDS · CHILDREN'S RESEARCH INSTITUTE · PI SHOYKHET, MICHAEL · 2019 to 2023
$2.6M
In vivo MRI Measures of Brain Metabolism in Traumatic Brain InjuryR01NS123442 · NINDS · HOWARD UNIVERSITY · PI Tsang-Wei Tu · 2022 to 2026
$1.9M
NCATS NIH HHS UL1 TR001409NICHD NIH HHS P50 HD105328NIMHD NIH HHS U54 MD007597NINDS NIH HHS R01 NS112294NINDS NIH HHS R01 NS123442
6 · The paper itself

Abstract

Microglia are the resident macrophages in the central nervous system. Brain injuries, such as traumatic brain injury, hypoxia, and stroke, can induce inflammatory responses accompanying microglial activation. The morphology of microglia is notably diverse and is one of the prominent manifestations during activation. In this study, we proposed to detect the activated microglia in immunohistochemistry images by convolutional neural networks (CNN). 2D Iba1 images (40

Indexed as

cardiac arrestcell morphologyCNNmicroglia

Identifiers

PMID38544681
PMCPMC10967008
OpenAlexW4309263518

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.