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Related Experiment Video

Updated: Jul 11, 2026

Stereological Estimation of Dopaminergic Neuron Number in the Mouse Substantia Nigra Using the Optical Fractionator and Standard Microscopy Equipment
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A simple and efficient alternative to implementing systematic random sampling in stereological designs without a

Neal R Melvin1, Daniel Poda, Robert J Sutherland

  • 1Department of Neuroscience, Canadian Centre for Behavioural Neuroscience, University of Lethbridge, 4401 University Drive, Lethbridge, Alberta, Canada T1K 3M4. neal.melvin@uleth.ca

Journal of Microscopy
|October 4, 2007
PubMed
Summary

Stereology enables efficient quantification of biological samples. This study presents a cost-effective software alternative for systematic random sampling, making advanced stereological methods accessible to more labs.

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Last Updated: Jul 11, 2026

Stereological Estimation of Dopaminergic Neuron Number in the Mouse Substantia Nigra Using the Optical Fractionator and Standard Microscopy Equipment
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Area of Science:

  • Biological sciences
  • Microscopy
  • Quantitative analysis

Background:

  • Stereology is a robust method for quantifying biological parameters.
  • Systematic random sampling is a common and efficient stereological strategy.
  • Microscopic systematic random sampling often relies on expensive automated stages.

Purpose of the Study:

  • To present a cost-effective software-based alternative for systematic random sampling in microscopy.
  • To enable wider adoption of stereological methods in resource-limited laboratories.

Main Methods:

  • Development of a simple, precise software solution.
  • Implementation of systematic random sampling via software control.
  • Utilizing a non-automated, cost-effective approach.

Main Results:

  • A functional software alternative to motorized stages for systematic random sampling was developed.
  • The software provides a precise and cost-effective method for stereological sampling.
  • This approach bypasses the need for expensive automated microscopy systems.

Conclusions:

  • The developed software facilitates systematic random sampling in stereology.
  • This innovation lowers the barrier to entry for advanced stereological techniques.
  • It empowers laboratories with limited resources to perform precise quantitative analyses.