AxoMetric platform facilitates rapid and unbiased automated quantification of axon regeneration in tissue sections
Experimental strategies to stimulate axon regeneration are the core of therapeutic development for nervous system injury and disease. Here, we present AxoMetric, an open-source, user-friendly software for rapid and automated quantification of regenerated axons in nerve tissue sections. AxoMetric automatically identifies regenerated axons, providing quantitative measurements at customizable distances from the injury site that closely match conventional manual quantification but with greater speed and consistency. Additional features of AxoMetric include quantification of neuronal cell bodies, normalization of axon density to nerve diameter to account for anatomical variability, and an image-queuing function for high-throughput analysis. We demonstrate its application to quantify regenerated axons in the optic nerve, cell density in retinal flatmounts, and regenerated axon bundles in injured sciatic nerves. Collectively, AxoMetric streamlines and standardizes quantitative assessments of neural regeneration across diverse experimental paradigms and laboratories.
Authors
- Roman J. Giger (ORCID: https://orcid.org/0000-0002-2926-3336)
- Matthew C. Finneran (ORCID: https://orcid.org/0000-0002-6742-206X)
- Ryan Passino (ORCID: https://orcid.org/0000-0002-7485-1313)
- Ismaël Valentin Salioski
- Ligia B. Schmitd
- Craig N. Johnson
- Tara Rahmani
Institutions
- University of Michigan (US)
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- Cell Reports Methods
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1016/j.crmeth.2025.101296
- Primary Topic
- Nerve injury and regeneration
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Research to Prevent Blindness
- Dr. Miriam and Sheldon G. Adelson Medical Research Foundation
- National Institutes of Health
- Advanced Research Projects Agency