Automated Nerve Fibres Identification and Morphometry Analysis with Neural Network Based Tool in MATLAB.

Journal: Studies in health technology and informatics
Published Date: Jun 26, 2020

Abstract

Analyses of nerve histology are core assays in basic and applied research and even in clinical setting. Detailed report on nerve morphology may unbiased indicate the current state of a peripheral nerve. Manual method requires trained technician and is a time-consuming procedure. Available plug-ins to well known image processors are limited in use and data outcomes. Thus, the aim of the study was to create a tool for fast and repeatable analysis of a nerve section image. As a results we get very high precision of analysis in shorter time.

Authors

  • Michał Kopka
    Department of Methodology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland.
  • Wiktor Paskal
    Department of Methodology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland.
  • Adriana M Paskal
    Department of Methodology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland.
  • Piotr Pietruski
    Timeless Plastic Surgery Clinic, Warsaw, Poland.
  • Ryszard Kopka
    Department of Electrical Control and Computer Engineering Opole University of Technology, Opole, Poland.
  • Pawel K Wlodarski
    Department of Methodology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland.

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