Evidence mapPaperPMID 42006307Full record

ArticleiScience2026

Comparative analysis of clearing methods for 3D imaging of the vasculature in mineralized mouse tissues.

Azeez O Ishola, Athira Pillai, Taeyong Ahn, RE-JOIN Consortium, Chih-Wei Hsu, Brendan Lee, Nele Haelterman, Joshua D Wythe

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Azeez O IsholaDepartment of Cell Biology, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Athira PillaiDepartment of Cell Biology, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Taeyong AhnDepartment of Cell Biology, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
RE-JOIN Consortium
Chih-Wei HsuDepartment of Integrative Physiology, Optical Imaging and Vital Microscopy Core, Advanced Technology Cores, Department of Education, Innovation and Technology, Baylor College of Medicine, Houston, TX 77030, USA.
Brendan LeeDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Nele HaeltermanDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Joshua D WytheDepartment of Cell Biology, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, visualization of vascular networks within the musculoskeletal system, particularly in mineralized tissues such as bones and joints, has been limited to conventional 2D histological approaches. Recent advances in optical tissue clearing technologies and fluorescence imaging approaches in whole, intact tissues offer an entrée to interrogate the vasculature at unprecedented resolution during both musculoskeletal development and in pathologic contexts in three dimensions. However, these clearing techniques were originally not developed for imaging hard mineralized tissues, such as the femur and tibia. Herein, we have optimized tissue decalcification conditions and compared aqueous- and solvent-based tissue clearing approaches to establish an optimal pipeline for clearing and imaging the vasculature in mineralized tissues of the adult mouse. Collectively, this work shows that optical clearing combined with light-sheet microscopy represents a powerful method for generating high-resolution images of the murine hindlimb vasculature, with potential applications in aging and disease modeling.

Indexed as

Methodology in biological sciencesModel organism

Identifiers

PMID42006307
PMCPMC13091420

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.