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 Video

Updated: Jul 10, 2025

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis
08:40

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis

Published on: February 28, 2021

4.1K

A multi-spectral myelin annotation tool for machine learning based myelin quantification.

Abdulkerim Çapar1,2, Sibel Çimen3, Zeynep Aladağ4

  • 1Informatics Institute, Istanbul Technical University, Istanbul, 34469, Turkey.

F1000Research
|November 22, 2023
PubMed
Summary

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

A perspective: PLA2G4A as drug target for vascular inflammation in Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Microglial States Are Susceptible to Senescence and Cholesterol Dysregulation in Alzheimer's Disease.

Aging cell·2025
Same author

An interpretable framework for inter-observer agreement measurements in TILs scoring on histopathological breast images: A proof-of-principle study.

PloS one·2024
Same author

Synthesis and Preclinical Evaluation of 22-[<sup>18</sup>F]Fluorodocosahexaenoic Acid as a Positron Emission Tomography Probe for Monitoring Brain Docosahexaenoic Acid Uptake Kinetics.

ACS chemical neuroscience·2023
Same author

Identification of protein-protein interaction bridges for multiple sclerosis.

Bioinformatics (Oxford, England)·2023
Same author

Combined segmentation and classification-based approach to automated analysis of biomedical signals obtained from calcium imaging.

PloS one·2023
This summary is machine-generated.

Researchers developed a new workflow and software to simplify myelin annotation for machine learning. This facilitates the creation of accurate datasets for studying demyelination diseases.

Area of Science:

  • Neuroscience
  • Biomedical Imaging
  • Computational Biology

Background:

  • Myelin, an oligodendrocyte membrane sheath, is crucial for nervous system function.
  • Damage to myelin leads to demyelination diseases.
  • Manual identification of myelin in fluorescent images is labor-intensive and complex due to its 3D structure.

Purpose of the Study:

  • To develop an efficient workflow and software for myelin ground truth extraction.
  • To facilitate the annotation process for machine learning applications in neuroscience.
  • To provide a community-shared dataset of annotated myelin ground truths.

Main Methods:

  • Development of a novel workflow for myelin ground truth extraction.
  • Creation of specialized software for processing multi-spectral fluorescent images.
Keywords:
fluorescence imagesimage analysismachine learningmyelin annotation toolmyelin quantification

More Related Videos

Spectral Reflectometric Microscopy on Myelinated Axons In Situ
09:13

Spectral Reflectometric Microscopy on Myelinated Axons In Situ

Published on: July 2, 2018

7.4K
Assessing Microglial Phagocytosis of Myelin Debris in vitro Under Repeated Magnetic Stimulation
08:34

Assessing Microglial Phagocytosis of Myelin Debris in vitro Under Repeated Magnetic Stimulation

Published on: June 17, 2025

267

Related Experiment Videos

Last Updated: Jul 10, 2025

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis
08:40

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis

Published on: February 28, 2021

4.1K
Spectral Reflectometric Microscopy on Myelinated Axons In Situ
09:13

Spectral Reflectometric Microscopy on Myelinated Axons In Situ

Published on: July 2, 2018

7.4K
Assessing Microglial Phagocytosis of Myelin Debris in vitro Under Repeated Magnetic Stimulation
08:34

Assessing Microglial Phagocytosis of Myelin Debris in vitro Under Repeated Magnetic Stimulation

Published on: June 17, 2025

267
  • Annotation of myelin structures based on co-localization of oligodendrocyte and axonal membranes.

    • Main Results:

    • Successful extraction of myelin ground truths from multi-spectral fluorescent images.
    • Development of a user-friendly software tool to aid in myelin annotation.
    • Generation of a novel, annotated dataset for machine learning model training.

    Conclusions:

    • The developed workflow and software significantly streamline myelin annotation.
    • The shared dataset advances machine learning applications in myelin research and demyelination disease studies.
    • This work addresses the bottleneck of expert labor in creating training data for myelin segmentation.