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Title
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A multiparametric assay for quantitative nerve regeneration evaluation
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Author
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Abstract
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| 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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Language
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English
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Source (journal)
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Journal of microscopy. - Oxford
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Publication
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Oxford
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2005
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ISSN
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0022-2720
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DOI
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10.1111/J.1365-2818.2005.01495.X
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Volume/pages
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219
:Part 2
(2005)
, p. 95-101
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ISI
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000231509200007
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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