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Rapid and Precise Semi-Automatic Axon Quantification in Human Peripheral Nerves.

S Engelmann1, M Ruewe1, S Geis1

  • 1Department of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.

Scientific Reports
|February 8, 2020
PubMed
Summary
This summary is machine-generated.

A new semi-automated method accurately quantifies axons in human nerve biopsies using free software. This time-saving technique enhances axon counting efficiency for peripheral nerve research.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Histology

Background:

  • Axon quantification is crucial for diagnosing and understanding peripheral nerve disorders.
  • Existing automated methods often require expensive, specialized hardware and software, limiting accessibility.
  • Manual axon counting is time-consuming and prone to variability.

Purpose of the Study:

  • To develop and validate a time-efficient, semi-automated method for axon quantification in human cranial nerve sections.
  • To assess the accuracy, reliability, and speed of the developed method compared to manual counting.
  • To provide an accessible tool for effective axon quantification in peripheral nerve research.

Main Methods:

  • Developed a semi-automated axon quantification technique using publicly available freeware.
  • Applied the method to human cranial nerve sections stained with paraphenylenediamine (PPD).
  • Analyzed 1238 facial and masseteric nerve biopsies, with 129 randomly selected for manual vs. semi-automated comparison.

Main Results:

  • The semi-automated method demonstrated high sensitivity (94%) and specificity (87%).
  • Axon counting was significantly faster, averaging 50 seconds per biopsy compared to 9 minutes 49 seconds for manual counting.
  • The software-based method showed a strong linear correlation with manual counts (R=0.944).

Conclusions:

  • The developed semi-automated method is precise, reliable, and time-sparing for axon quantification.
  • Utilizing freeware makes this technique accessible to a wider range of research laboratories.
  • This approach offers an effective solution for analyzing axon counts in human peripheral nerves.