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: Jun 26, 2026

Toluidine Blue Staining of Resin-Embedded Sections for Evaluation of Peripheral Nerve Morphology
08:17

Toluidine Blue Staining of Resin-Embedded Sections for Evaluation of Peripheral Nerve Morphology

Published on: July 3, 2018

A Generalized Deep Learning Pipeline for Stain-Invariant Ultrastructural Segmentation in Peripheral Nerves.

Vitalijs Borisovs1, Guido Cavaletti1,2

  • 1Experimental Neurology Unit, School of Medicine and Surgery, Università di Milano-Bicocca, 20900 Monza, Italy.

Journal of Imaging
|June 25, 2026
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

Correction: Malacrida et al. Another Brick to Confirm the Efficacy of Rigosertib as Anticancer Agent. <i>Int. J. Mol. Sci.</i> 2023, <i>24</i>, 1721.

International journal of molecular sciences·2026
Same author

Molecular Characterization of Oxaliplatin-Induced Peripheral Neurotoxicity: The Complex Spectrum of Painful Manifestations.

Journal of the peripheral nervous system : JPNS·2025
Same author

ITF6475, a New Histone Deacetylase 6 Inhibitor, Prevents Painful Neuropathy Induced by Paclitaxel.

Toxics·2025
Same author

Analysis of an innovative fluid biomarker panel for early prediction of progression independent of relapse activity in multiple sclerosis.

Multiple sclerosis journal - experimental, translational and clinical·2025
Same author

Bioresponsive Hyaluronic Acid-Based Hydrogel Inhibits Matrix Metalloproteinase-2 in Glioblastoma Microenvironment.

ChemMedChem·2025
Same author

New Approaches Based on Serial-Block Face Electron Microscopy to Investigate the Peripheral Nervous System.

Journal of the peripheral nervous system : JPNS·2025

Automated analysis of peripheral nerve ultrastructure using electron microscopy (EM) is improved by a new deep learning pipeline. This method standardizes diverse EM datasets, enabling accurate segmentation of cellular structures for organellomics.

Area of Science:

  • Neuroscience
  • Computational Biology
  • Microscopy

Background:

  • Automated analysis of peripheral nerve ultrastructure via electron microscopy (EM) faces challenges due to data heterogeneity.
  • Variations in staining protocols and resolutions across EM datasets create domain shifts, hindering deep learning model performance.

Purpose of the Study:

  • To develop a generalized segmentation pipeline for standardizing heterogeneous EM datasets.
  • To mitigate domain gaps in EM data using classical image standardization techniques integrated with deep learning.

Main Methods:

  • A custom pre-processing workflow involving Contrast Limited Adaptive Histogram Equalization (CLAHE) and noise suppression was implemented in ZEISS Arivis Pro.
  • Standardization was applied across three distinct EM preparation domains: osmium-based Palade, lanthanide-based Uranyl-free, and low-resolution Ellisman.
Keywords:
Volume Electron Microscopydeep learning segmentationdomain generalizationimage standardizationperipheral nerve ultrastructure

More Related Videos

Standardization of a Novel Semi-Automatic Software for Neurite Outgrowth Measurement
05:28

Standardization of a Novel Semi-Automatic Software for Neurite Outgrowth Measurement

Published on: August 9, 2024

Related Experiment Videos

Last Updated: Jun 26, 2026

Toluidine Blue Staining of Resin-Embedded Sections for Evaluation of Peripheral Nerve Morphology
08:17

Toluidine Blue Staining of Resin-Embedded Sections for Evaluation of Peripheral Nerve Morphology

Published on: July 3, 2018

Standardization of a Novel Semi-Automatic Software for Neurite Outgrowth Measurement
05:28

Standardization of a Novel Semi-Automatic Software for Neurite Outgrowth Measurement

Published on: August 9, 2024

  • A U-Net model was trained on a composite dataset and evaluated using Intersection over Union (IoU) and Dice Similarity Coefficient (DSC).

    • Main Results:

    • The U-Net model achieved peak internal IoU scores >0.95 for myelin and Schwann cells.
    • During zero-shot inference on an independent cohort, the model maintained robust DSC scores: 0.854 for myelin and 0.597 for mitochondria.
    • The pipeline successfully enabled 3D multi-organelle reconstructions from challenging, diverse EM data.

    Conclusions:

    • Integrating classical image standardization with deep learning effectively overcomes domain gaps in EM datasets.
    • The developed pipeline supports the adoption of sustainable, non-toxic EM protocols.
    • This approach provides a robust method for automated organellomics and analysis of historical clinical EM archives.