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Research ArticleResearch Article: Methods/New Tools, Novel Tools and Methods

AxoDen: An Algorithm for the Automated Quantification of Axonal Density in Defined Brain Regions

Raquel Adaia Sandoval Ortega, Emmy Li, Oliver Joseph, Pascal A. Dufour and Gregory Corder
eNeuro 16 May 2025, 12 (6) ENEURO.0233-24.2025; https://doi.org/10.1523/ENEURO.0233-24.2025
Raquel Adaia Sandoval Ortega
1Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
2Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
3Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Emmy Li
1Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
2Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
3Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Oliver Joseph
1Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
2Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
3Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Pascal A. Dufour
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Gregory Corder
1Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
2Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
3Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0233-24.2025
PubMed 
40379480
Published By 
Society for Neuroscience
History 
  • Received May 30, 2024
  • Revision received April 11, 2025
  • Accepted April 21, 2025
  • Published online May 16, 2025.
Copyright & Usage 
Copyright © 2025 Sandoval Ortega et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Raquel Adaia Sandoval Ortega1,2,3,
  2. Emmy Li1,2,3,
  3. Oliver Joseph1,2,3,
  4. Pascal A. Dufour and
  5. Gregory Corder1,2,3
  1. 1Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
  2. 2Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
  3. 3Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
  1. Correspondence should be addressed to Raquel Adaia Sandoval Ortega at raqueladaia.sandovalortega{at}pennmedicine.upenn.edu or Gregory Corder at gcorder{at}upenn.edu.
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Author contributions

  1. Author contributions: R.A.S.O. designed research; R.A.S.O., E.L., and O.J. performed research; R.A.S.O., E.L., O.J., and P.A.D. analyzed data; R.A.S.O., E.L., O.J., P.A.D., and G.C. wrote the paper.

Disclosures

  • The authors declare no competing financial interests.

  • We thank the University Laboratory Animal Resources (ULAR) group at the University of Pennsylvania for the assistance with rodent husbandry and veterinary support. We express our gratitude to the Corder Lab members: Corinna Oswell, Jessica Wojcik, Lindsay Ejoh, and Adrienne Jo. We also acknowledge histology data contributions from Dr. Ipek Yalcin (Centre National de la Recherche Scientific, Strasbourg, France) and Colin Li and Dr. Sigrid Veasy (University of Pennsylvania, Philadelphia, United States). This work was funded by National Institutes of Health National Institute of General Medical Sciences DP2GM140923, R01DA056599, R01DA054374, and R01NS130044 (G.C.).

Funding

  • HHS | NIH | National Institute of General Medical Sciences (NIGMS)

    DP2GM140923; R01DA056599; R01DA054374; R01NS130044

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AxoDen: An Algorithm for the Automated Quantification of Axonal Density in Defined Brain Regions
Raquel Adaia Sandoval Ortega, Emmy Li, Oliver Joseph, Pascal A. Dufour, Gregory Corder
eNeuro 16 May 2025, 12 (6) ENEURO.0233-24.2025; DOI: 10.1523/ENEURO.0233-24.2025

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AxoDen: An Algorithm for the Automated Quantification of Axonal Density in Defined Brain Regions
Raquel Adaia Sandoval Ortega, Emmy Li, Oliver Joseph, Pascal A. Dufour, Gregory Corder
eNeuro 16 May 2025, 12 (6) ENEURO.0233-24.2025; DOI: 10.1523/ENEURO.0233-24.2025
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