Measurement of boundaries using a digitizer tablet

Area of Science:

• Scientific imaging and metrology.
• Image analysis and data acquisition.

Background:

• Perimeter measurement is the most error-prone primary metric (length, perimeter, area) in micrograph analysis using digitizer tablets.
• Accurate data acquisition is essential for reliable scientific interpretation.

Purpose of the Study:

• To develop a method for minimizing errors in perimeter measurements from digitizer tablets.
• To establish a relationship between perimeter error and digitizer resolution and data entry processes.

Main Methods:

• Development of a mathematical expression relating perimeter error to digitizer resolution and entry errors.
• Computer simulation of the tracing process.
• Manual tracing using a digitizer tablet.

Main Results:

• The developed expression accurately predicts perimeter errors.
• Predictions show good agreement with both simulated and manual tracing results.
• An optimal method for selecting sample spacing between digitizer coordinates was identified.

Conclusions:

• The developed expression effectively quantifies and helps minimize perimeter measurement errors in micrograph analysis.
• The findings provide a practical method for optimizing digitizer tablet usage for accurate profile tracing.
• This research enhances the reliability of quantitative analysis from micrograph data.