Evidence map›Paper›PMID 35083445›Full record

ArticleAging pathobiology and therapeutics2020

QuPath. A new digital imaging tool for geropathology.

Amanda Lee, Zhou Jiang, Lida Zhu, Warren Ladiges

Abstract read
In one paragraph

Article in Aging pathobiology and therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  8. Ovalbumin-specific CD4Frontiers in immunology · 2023
    Article
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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.

Amanda LeeDepartment of Comparative Medicine, School of Medicine, University of Washington, Seattle, WA, USA.
Zhou JiangDepartment of Comparative Medicine, School of Medicine, University of Washington, Seattle, WA, USA.
Lida ZhuDepartment of Comparative Medicine, School of Medicine, University of Washington, Seattle, WA, USA.
Warren LadigesDepartment of Comparative Medicine, School of Medicine, University of Washington, Seattle, WA, USA.

Funding

Physical resilience is a predictor of healthy aging in miceR01AG057381 · NIA · UNIVERSITY OF WASHINGTON · PI Warren C LADIGES · 2017 to 2026
$4.6M
A geroscience approach for treating Alzheimer's diseaseR01AG067193 · NIA · UNIVERSITY OF WASHINGTON · PI DARVAS, MARTIN C, LADIGES, WARREN C · 2020 to 2024
$4.4M
NIA NIH HHS R01 AG057381NIA NIH HHS R01 AG067193
6 · The paper itself

Abstract

Translational research regularly utilizes immunohistochemistry (IHC) to investigate pathological differences in the clinical or laboratory setting. However, the majority of these studies require the extensive work of a trained pathologist to analyze slides in a meaningful way. In order to explore new ways to quantitate IHC stains in a manner that is reproducible and efficient for both pathologists and research scientists, QuPath was explored as a new digital imaging tool. The hippocampal area of brains from older sleep deprived mice were stained using established IHC protocols to explore biomarker levels that would be insightful for measurable differences. Application features of QuPath are described that quantitatively show sleep deprived mice had robust differences in staining intensity for four different biomarkers compared to non-sleep deprived mice. These observations provide the rationale for QuPath as a digital imaging tool to enhance the quantitative and qualitative usefulness of IHC staining in the field of geropathology.

Indexed as

Digital imaginggeropathologyimmunohistochemistrymachine learningneuropathologyQuPath

Identifiers

PMID35083445
PMCPMC8789032

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Registered trials

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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.