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A multiparametric assay for quantitative nerve regeneration evaluation.

B Weyn·M van Remoortere·R Nuydens·T Meert·G van de Wouwer
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Abstract

We introduce an assay for the semi-automated quantification of nerve regeneration by image analysis. Digital images of histological sections of regenerated nerves are recorded using an automated inverted microscope and merged into high-resolution mosaic images representing the entire nerve. These are analysed by a dedicated image-processing package that computes nerve-specific features (e.g. nerve area, fibre count, myelinated area) and fibre-specific features (area, perimeter, myelin sheet thickness). The assay's performance and correlation of the automatically computed data with visually obtained data are determined on a set of 140 semithin sections from the distal part of a rat tibial nerve from four different experimental treatment groups (control, sham, sutured, cut) taken at seven different time points after surgery. Results show a high correlation between the manually and automatically derived data, and a high discriminative power towards treatment. Extra value is added by the large feature set. In conclusion, the assay is fast and offers data that currently can be obtained only by a combination of laborious and time-consuming tests.

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AnimalsImage Processing, Computer-AssistedMicroscopyNerve FibersNerve RegenerationPeripheral NervesRatsRats, Sprague-DawleyTibiaComparative StudyJournal Article

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B Weyn, M van Remoortere, R Nuydens, T Meert, G van de Wouwer. 2005. A multiparametric assay for quantitative nerve regeneration evaluation.. https://doi.org/10.1111/j.1365-2818.2005.01495.x

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