Evidence map›Paper›PMID 39224098›Full record

ArticleEuropean heart journal. Imaging methods and practice2024

Intravital imaging of cardiac tissue utilizing tissue-stabilized heart window chamber in live animal model.

Soyeon Ahn, Jung-Yeon Yoon, Pilhan Kim

Erratum issuedAbstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Increased cGMP improves microvascular exercise training adaptations in diet-induced obesity.American journal of physiology. Endocrinology and metabolism · 2025
    Article
  2. Small Extracellular Vesicles from Breast Cancer Cells Induce Cardiotoxicity.International journal of molecular sciences · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Soyeon AhnR&D Center, IVIM Technology, 17 Techno 4-ro, Yuseong-gu, Daejeon, 34013, Republic of Korea.ORCID https://orcid.org/0000-0002-4955-523X
Jung-Yeon YoonR&D Center, IVIM Technology, 17 Techno 4-ro, Yuseong-gu, Daejeon, 34013, Republic of Korea.
Pilhan KimR&D Center, IVIM Technology, 17 Techno 4-ro, Yuseong-gu, Daejeon, 34013, Republic of Korea.ORCID https://orcid.org/0000-0001-8388-1840

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To develop and validate an optimized intravital heart microimaging protocol using a suction-based tissue motion-stabilizing cardiac imaging window to facilitate real-time observation of dynamic cellular behaviours within cardiac tissue in live mouse models. Methods and results: Intravital heart imaging was conducted using dual-mode confocal and two-photon microscopy. Mice were anesthetized, intubated, and maintained at a stable body temperature during the procedure. LysM-eGFP transgenic mice were utilized to visualize immune cell dynamics with vascular labelling by intravenous injection of anti-CD31 antibody and DiD-labelled red blood cells (RBCs). A heart imaging window chamber with a vacuum-based tissue motion stabilizer with 890-920 mbar was applied following a chest incision to expose the cardiac tissue. The suction-based heart imaging window chamber system and artificial intelligence-based motion compensation function significantly reduced motion artefacts and facilitated real-time Conclusion: The optimized intravital heart imaging protocol successfully demonstrates its capability to provide high-resolution, real-time visualization of dynamic cellular activities within live cardiac tissue.

Indexed as

cardiovascular imagingintravital imagingin vivo cardiac imaginglive heart imaging

Identifiers

PMID39224098
PMCPMC11367956

What OpenQuestion holds

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LicenceCC BY
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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.