Quantified Vessel Wall Components from 48 Saphenous Vein Images

A collection of quantified structural components from 48 internal saphenous vein samples stained with Masson's trichrome. It was created by Pablo Hernández-Morera to develop and test digital image processing and statistical methods for analyzing vessel wall changes. The methods segment smooth muscle fibers and extracellular matrix, with results validated against expert medical judgment.

Use Cases

• Apply permutation tests to analyze the measured parameters for vessel wall changes, suitable for small sample sizes.
• Validate digital segmentation of smooth muscle fibers and extracellular matrix areas against expert team perception.
• Develop image processing pipelines for quantifying vessel wall components from Masson's trichrome stained images.
• Correlate expert judgments with numerically measured parameters for evaluating venous disease.

Strengths

• Contains data from 48 distinct vessel wall samples, providing a basis for method validation.
• Quantification method is validated as consistent with the perception of a team of doctors.
• Statistical analysis uses permutation tests designed for scenarios with small sample sizes.

Limitations

• Small sample size of 48 vessel wall samples may limit the generalizability of findings.
• Data is specific to the internal saphenous vein and Masson's trichrome stain, limiting applicability to other tissues or stains.
• The dataset's composition and specific numerical measurements are not detailed in the available description.

Provenance

Source

Dryad

Collection Method

Digital image processing and quantification of stained vessel wall samples, followed by statistical analysis using permutation tests.

Freshness

Last updated in June 2020.