Evidence map›Paper›PMID 41666931›Full record

ArticleCell reports methods2026

AxoMetric platform facilitates rapid and unbiased automated quantification of axon regeneration in tissue sections.

Matthew C Finneran, Tara Rahmani, Ismaël Valentin Salioski, Ligia B Schmitd, Ryan Passino, Craig N Johnson, Roman J Giger

Abstract read
In one paragraph

Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Matthew C FinneranNeuroscience Graduate Program, University of Michigan Medical School, Ann Arbor, MI, USA; Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, USA.
Tara RahmaniCell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, USA.
Ismaël Valentin SalioskiFaculty of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Ligia B SchmitdCell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, USA.
Ryan PassinoCell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, USA.
Craig N JohnsonCell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, USA.
Roman J GigerNeuroscience Graduate Program, University of Michigan Medical School, Ann Arbor, MI, USA; Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Neurology, University of Michigan Medical School, Ann Arbor, MI, USA. Electronic address: rgiger@umich.edu.

Funding

Immune Metabolism of Peripheral Nervous Tissue Degeneration and RegenerationR01NS141351 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Roman Jeno Giger · 2025 to 2026
$1.1M
Lens injury-mediated mechanisms of nervous system protection and axon regenerationF31EY036280 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Matthew Finneran · 2024 to 2026
$127k
NEI NIH HHS F31 EY036280NINDS NIH HHS R01 NS141351
6 · The paper itself

Abstract

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.

Indexed as

AxonsNerve RegenerationAnimalsAutomationImage Processing, Computer-AssistedMiceOptic NerveSciatic NerveSoftwareautomaticaxonCP: imagingCP: neurosciencemouseoptic nervequantificationrapidregenerationretinasciatic nerveunbiased

Identifiers

PMID41666931
PMCPMC12946744

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.