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Published on: July 9, 2017
Distribution of Particles in the Z-axis of Tissue Sections: Relevance for Counting Methods
1Department of Physiology and Cell Biology, University of Nevada School of Medicine, Reno, NV 89557 (USA).
Summary
Thick tissue sections can suffer from z-axis artifacts like particle loss and deformation, impacting stereological counting accuracy. Understanding these distortions is crucial for reliable particle analysis in biological research.
Area of Science:
- Stereology
- Histology
- Biomedical Imaging
Background:
- Accurate particle counting in thick tissue sections is vital for stereology.
- Artifacts such as lost caps and z-axis deformation can compromise section integrity.
- Previous assumptions underestimated the prevalence of differential z-axis deformation.
Purpose of the Study:
- To investigate artifacts affecting particle distribution in the z-axis of thick tissue sections.
- To identify the causes and characteristics of z-axis deformation.
- To provide insights for improving stereological counting methods.
Main Methods:
- Analysis of particle distribution in the z-axis across different sectioning methods and embedding media.
- Assessment of differential deformation in paraffin, glycolmethacrylate, vibratome, celloidin, and cryostat sections.
- Distinguishing primary (sectioning-induced) and secondary (lost caps) artifacts through distortion patterns.
Main Results:
- Differential z-axis deformation is a common artifact, dependent on embedding media and sectioning devices.
- Paraffin, glycolmethacrylate, and vibratome sections are susceptible, unlike celloidin or cryosections.
- Z-axis deformation, likely caused by sectioning compression, leads to differential particle densities.
Conclusions:
- Z-axis deformation and lost caps are significant artifacts in thick tissue sections.
- Understanding these artifacts is essential for accurate stereological analysis, particularly with methods like the optical disector.
- Proper assessment and mitigation strategies are needed to minimize bias in particle counting.

