An optimization procedure for the alignment of marker points to assess dimensional changes.

Area of Science:

• Microscopy
• Materials Science

Background:

• Specimen preparation for scanning electron microscopy (SEM) often involves dehydration and drying, leading to significant dimensional changes (shrinkage).
• Accurate quantification of this shrinkage is crucial for reliable interpretation of SEM images and microstructural analysis.

Purpose of the Study:

• To develop a novel method for precisely measuring dimensional changes in tissue specimens during SEM preparation.
• To create a computational tool for analyzing shrinkage patterns and characteristics.

Main Methods:

• Affixing randomly patterned marker points to the surface of tissue specimens.
• Utilizing a custom computer program to capture marker point coordinates in both wet and processed states.
• Optimizing alignment between marker point sets and calculating proportional dimensional changes.

Main Results:

• The developed computer program accurately quantifies proportional dimensional changes in two perpendicular directions and radially from an origin.
• The method allows for the assessment of shrinkage as either planar-orthotropic or planar-anisotropic.

Conclusions:

• This new method provides a robust approach to measure and characterize shrinkage in SEM specimens.
• The computational tool enhances the accuracy of dimensional analysis in microscopy, aiding in the interpretation of structural alterations.