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Updated: May 17, 2026

Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models

Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models

Published on: March 6, 2018

Estimating volume in biological structures.

Cold Spring Harbor Protocols

|November 3, 2012

Summary

This study presents a simple method for unbiased volume estimation in tissues and organs using Cavalieri

Area of Science:

Stereology
Quantitative Biology
Biomedical Imaging

Background:

Accurate volume estimation is crucial for comparative and experimental studies of biological tissues and organs.
Existing methods may lack precision or introduce bias.

Purpose of the Study:

To describe a simple, unbiased method for estimating total volume using Cavalieri's principle.
To detail the use of point probes for estimating sectional profile areas.
To combine Cavalieri's principle with point counting for unbiased structural feature volume estimation.

Main Methods:

Application of Cavalieri's principle for total volume estimation.
Utilizing point probes to determine the area of sectional profiles.
Integrating point counting with Cavalieri's principle for volumetric analysis.

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Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench

Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench

Published on: August 23, 2017

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Last Updated: May 17, 2026

Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models

Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models

Published on: March 6, 2018

Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench

Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench

Published on: August 23, 2017

Main Results:

A straightforward procedure for unbiased total volume estimation is presented.
Point probes provide unbiased estimates of sectional profile areas.
Combined methods enable unbiased estimation of structural feature volumes.

Conclusions:

The described stereological methods offer unbiased and practical approaches for volumetric quantification in biological samples.
These techniques are valuable for research involving tissue and organ analysis.