Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A computer-assisted automatic method for myelinated nerve fiber morphometry.

G Vita1, M Santoro, G Trombetta

  • 1Institute of Neurological and Neurosurgical Sciences, University of Messina, Italy.

Acta Neurologica Scandinavica
|January 1, 1992
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multiparametric assessment of bone health in metastatic hormone-sensitive prostate cancer patients receiving androgen deprivation + enzalutamide ± zoledronic acid (BonEnza study).

Bone·2026
Same author

READY: REAl-world Data from an Italian compassionate use program of avelumab first-line maintenance for locallY advanced or metastatic urothelial carcinoma.

ESMO real world data and digital oncology·2026
Same author

Re: Bobelyak M, Vaculik J, Stepan JJ. Bone mineral density assessment using Radiofrequency Echographic Mult Spectrometry (REMS) in patients before and after total hip replacement, Osteoporos Int 2025;https://doi.org/10.1007/s00198-025-07685-w and Re: Pocock N, Chan D. Editorial: Is REMS-BMD truly a measured parameter? A call for transparency and technical clarification, Osteoporos Int 2025;https://doi.org/10.1007/s00198-025-07699-4.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2025
Same author

Radiomics for bone tumour diagnosis and management.

Clinical radiology·2025
Same author

Optimization of high-throughput marker systems for genomic prediction in alfalfa family bulks.

The plant genome·2024
Same author

Novel genetic mutation associated with hyperphosphatemic familial tumoral calcinosis/hyperostosis-hyperphosphatemia syndrome treated with denosumab: a case report.

Reumatismo·2024
Same journal

Editorial.

Acta neurologica Scandinavica·2022
Same journal

Advances in sudden unexpected death in epilepsy.

Acta neurologica Scandinavica·2022
Same journal

Non-convulsive seizures and non-convulsive status epilepticus in neuro-intensive care unit.

Acta neurologica Scandinavica·2022
Same journal

Positron emission tomography in autoimmune encephalitis: Clinical implications and future directions.

Acta neurologica Scandinavica·2022
Same journal

Seizure detection based on wearable devices: A review of device, mechanism, and algorithm.

Acta neurologica Scandinavica·2022
Same journal

Walking confidence and perceived locomotion ability explain participation after stroke: A cross-sectional experimental study.

Acta neurologica Scandinavica·2022
See all related articles

A new computer-assisted method accurately measures myelinated nerve fiber morphometry. This automated approach significantly reduces analysis time compared to semi-automatic methods, improving efficiency in nerve fiber studies.

Area of Science:

  • Neuroscience
  • Histology
  • Biomedical Engineering

Background:

  • Accurate morphometry of myelinated nerve fibers is crucial for understanding neurological conditions.
  • Traditional methods for nerve fiber analysis can be time-consuming and labor-intensive.

Purpose of the Study:

  • To develop and validate a computer-assisted automatic method for myelinated nerve fiber morphometry.
  • To compare the efficiency and accuracy of the automatic method against semi-automatic analysis.

Main Methods:

  • Utilized the IBAS image analysis system for processing one-micron thick sural nerve sections stained with p-phenylenediamine.
  • Employed binary transformation for identifying myelin sheaths and measuring fiber and axon parameters.
  • Incorporated operator-interactive manipulation for refining histological structure identification.

Related Experiment Videos

Main Results:

  • The automatic system accurately measured various myelinated nerve fiber and axon parameters.
  • Measurements from the automatic method were virtually identical to semi-automatic analysis.
  • The automatic procedure was three to four times faster than semi-automatic analysis.

Conclusions:

  • The described computer-assisted automatic method is accurate, reliable, and efficient for myelinated nerve fiber morphometry.
  • This automated approach offers significant time and effort savings in histological analysis.
  • The system facilitates precise quantitative assessment of nerve fiber structures.