Evidence map›Paper›PMID 41219237›Full record

ArticleScientific data2025

Human connective tissue - 3D datasets to characterise the material properties.

Heiko Stark, Julian Sartori

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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

2 authors.

Heiko Stark *Friedrich-Schiller-University Jena. Institute of Zoology and Evolutionary Research, Jena, 07743, Germany. heiko@starkrats.de.ORCID 0000-0001-6450-9744
Julian Sartori *Friedrich-Schiller-University Jena. Institute of Zoology and Evolutionary Research, Jena, 07743, Germany.ORCID 0000-0001-9837-9247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

These datasets were aimed at measuring the distribution of human connective tissue and characterising the material properties. We, therefore, used the existing datasets of male and female body donors from the Visible Human Project (VHP). In the first step, collagen-containing structures were segmented and reconstructed using digital image processing. In addition, several properties (i.e. thickness, orientation) were characterised and analysed using computational methods. The percentage of fibrous components within the whole body was highest in the thigh. The results of the image processing provided local collagen orientation within the tissues. They showed that individual fascicles and subtendons can be resolved when isolated, but not within compact regions of connective tissues.

Indexed as

Connective TissueCollagenFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMaleVisible Human ProjectsCollagen

Identifiers

PMID41219237
PMCPMC12606229

What OpenQuestion holds

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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.