Literature DB >> 16581137

Practical nerve morphometry.

Fulvio Urso-Baiarda1, Adriaan O Grobbelaar.   

Abstract

Histopathological examination of peripheral nerves is often complemented by morphometric analysis in both clinical and research settings. However, existing manual or semi-automated methods are highly tedious, labour intensive and time-consuming, whereas fully automated morphometry is prone to error from the conversion of maldetected particles to spurious data. Both fully and interactive-automated morphometry have significant hardware requirements and may be difficult to implement. A new method for nerve morphometry is described aiming to combine the speed of automated morphometry with the accuracy of manual or semi-automated methods, and requiring only a digital image of the nerve section and two widely available software packages. Comparison with a standard digitizer pen method of nerve morphometry without sampling yielded statistically similar axon counts, mean area assessments and axonal area frequency distribution histograms, with assessment times of the new method between 35% and 45% of those of the standard method. This has widespread potential experimental and clinical applications and offers a means of relieving much of the tedium currently associated with nerve morphometry.

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Mesh:

Year:  2006        PMID: 16581137     DOI: 10.1016/j.jneumeth.2006.02.014

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  6 in total

1.  Binary imaging analysis for comprehensive quantitative histomorphometry of peripheral nerve.

Authors:  Daniel A Hunter; Arash Moradzadeh; Elizabeth L Whitlock; Michael J Brenner; Terence M Myckatyn; Cindy H Wei; Thomas H H Tung; Susan E Mackinnon
Journal:  J Neurosci Methods       Date:  2007-06-30       Impact factor: 2.390

2.  A New Method for Automated Identification and Morphometry of Myelinated Fibers Through Light Microscopy Image Analysis.

Authors:  Romulo Bourget Novas; Valeria Paula Sassoli Fazan; Joaquim Cezar Felipe
Journal:  J Digit Imaging       Date:  2016-02       Impact factor: 4.056

3.  Automated method for the segmentation and morphometry of nerve fibers in large-scale CARS images of spinal cord tissue.

Authors:  Steve Bégin; Olivier Dupont-Therrien; Erik Bélanger; Amy Daradich; Sophie Laffray; Yves De Koninck; Daniel C Côté
Journal:  Biomed Opt Express       Date:  2014-11-05       Impact factor: 3.732

Review 4.  Methods for in vivo studies in rodents of chemotherapy induced peripheral neuropathy.

Authors:  Jordi Bruna; Paola Alberti; Aina Calls-Cobos; Martial Caillaud; M Imad Damaj; Xavier Navarro
Journal:  Exp Neurol       Date:  2019-12-15       Impact factor: 5.330

5.  Reproducibility in nerve morphometry: comparison between methods and among observers.

Authors:  Antônio Paulo da Costa Bilego Neto; Fernando Braga Cassiano Silveira; Greice Anne Rodrigues da Silva; Luciana Sayuri Sanada; Valéria Paula Sassoli Fazan
Journal:  Biomed Res Int       Date:  2013-06-13       Impact factor: 3.411

6.  Baseline effects of lysophosphatidylcholine and nerve growth factor in a rat model of sciatic nerve regeneration after crush injury.

Authors:  Ryan L Wood; Keaton S Karlinsey; Austin D Thompson; Mark N Rigby; Greggory D Boatright; William G Pitt; Beverly L Roeder; Scott C Steffensen; Alonzo D Cook
Journal:  Neural Regen Res       Date:  2018-05       Impact factor: 5.135

  6 in total

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