Literature DB >> 32070676

Design-Based stereology and binary image histomorphometry in nerve assessment.

Daniel A Hunter1, Deng Pan2, Matthew D Wood3, Alison K Snyder-Warwick4, Amy M Moore5, Eva L Feldman6, Susan E Mackinnon7, Michael J Brenner8.   

Abstract

BACKGROUND: Stereology and histomorphometry are widely used by investigators to quantify nerve characteristics in normal and pathological states, including nerve injury and regeneration. While these methods of analysis are complementary, no study to date has systematically compared both approaches in peripheral nerve. This study investigated the reliability of design-based stereology versus semi-automated binary imaging histomorphometry for assessing healthy peripheral nerve characteristics. NEW
METHOD: Stereological analysis was compared to histomorphometry with binary image analysis on uninjured sciatic nerves to determine nerve fiber number, nerve area, neural density, and fiber distribution.
RESULTS: Sciatic nerves were harvested from 6 male Lewis rats, aged 8-12 weeks for comprehensive analysis of 6 nerve specimens. From each animal, sciatic nerve specimens were fixed, stained, and sectioned for analysis by light and electron microscopy. Both histomorphometry and stereological peripheral nerve analyses were performed on all specimens by two blinded and independent investigators who quantified nerve fiber count, fiber width, density, and related distribution parameters. COMPARISON WITH EXISTING
METHODS: Histomorphometry and stereological analysis provided similar outcomes in nerve fiber number and total nerve area. However, the light microscopy, but not electron microscopy, stereological analysis yielded higher nerve fiber area compared to histomorphometry or manual measurement.
CONCLUSION: Both methods measure similar fiber number and overall nerve fiber area; however, stereology with light microscopy quantified higher fiber area. Histomorphometry optimizes throughput and comprehensive analysis but requires user thresholding.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Binary image analysis; Design-Based stereology; Electron microscopy; Nerve injury; Nerve regeneration; Quantitative histomorphometry

Mesh:

Year:  2020        PMID: 32070676      PMCID: PMC8045463          DOI: 10.1016/j.jneumeth.2020.108635

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


  28 in total

1.  The relation between nerve fiber size and sensory modality: phylogenetic implications of the afferent innervation of cortex.

Authors:  G H BISHOP
Journal:  J Nerv Ment Dis       Date:  1959-02       Impact factor: 2.254

2.  The precision of estimates in stereological analyses.

Authors:  Mark J West
Journal:  Cold Spring Harb Protoc       Date:  2012-09-01

3.  Stereologic and ultrastructural comparison of human and rat amniotic membrane wrapping for rat sciatic nerve repair.

Authors:  Askin Esen Hasturk; Erdal Resit Yilmaz; Nazli Hayirli; Ali Erhan Kayalar; Seda Akyildiz; Emre Cemal Gökce; Ilke Akcay; Oya Evirgen; Abdurrahman Bakir
Journal:  J Clin Neurosci       Date:  2018-08-18       Impact factor: 1.961

4.  The impact of recent stereological advances on quantitative studies of the nervous system.

Authors:  H Braendgaard; H J Gundersen
Journal:  J Neurosci Methods       Date:  1986-10       Impact factor: 2.390

5.  Description and validation of isometric tetanic muscle force test in rabbits.

Authors:  Guilherme Giusti; Thomas Kremer; Wouter F Willems; Patricia F Friedrich; Allen T Bishop; Alexander Y Shin
Journal:  Microsurgery       Date:  2011-11-24       Impact factor: 2.425

6.  Transplantation of Schwann cells in a collagen tube for the repair of large, segmental peripheral nerve defects in rats.

Authors:  Yerko A Berrocal; Vania W Almeida; Ranjan Gupta; Allan D Levi
Journal:  J Neurosurg       Date:  2013-06-07       Impact factor: 5.115

7.  Toluidine Blue Staining of Resin-Embedded Sections for Evaluation of Peripheral Nerve Morphology.

Authors:  Adel B Ghnenis; Richard E Czaikowski; Zhaojie J Zhang; Jared S Bushman
Journal:  J Vis Exp       Date:  2018-07-03       Impact factor: 1.355

8.  Curcumin promotes nerve regeneration and functional recovery in rat model of nerve crush injury.

Authors:  Junxiong Ma; Jun Liu; Hailong Yu; Qi Wang; Yu Chen; Liangbi Xiang
Journal:  Neurosci Lett       Date:  2013-05-10       Impact factor: 3.046

9.  Automated Cell Counts on Tissue Sections by Deep Learning and Unbiased Stereology.

Authors:  Saeed S Alahmari; Dmitry Goldgof; Lawrence Hall; Hady Ahmady Phoulady; Raj H Patel; Peter R Mouton
Journal:  J Chem Neuroanat       Date:  2018-12-27       Impact factor: 3.052

Review 10.  Negative regulation of myelination: relevance for development, injury, and demyelinating disease.

Authors:  Kristján R Jessen; Rhona Mirsky
Journal:  Glia       Date:  2008-11-01       Impact factor: 8.073

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  4 in total

1.  IL-4 expressing cells are recruited to nerve after injury and promote regeneration.

Authors:  Deng Pan; Lauren Schellhardt; Jesús A Acevedo-Cintron; Daniel Hunter; Alison K Snyder-Warwick; Susan E Mackinnon; Matthew D Wood
Journal:  Exp Neurol       Date:  2021-10-28       Impact factor: 5.330

2.  Short-Duration, Pulsatile, Electrical Stimulation Therapy Accelerates Axon Regeneration and Recovery following Tibial Nerve Injury and Repair in Rats.

Authors:  Joseph Roh; Lauren Schellhardt; Grace C Keane; Daniel A Hunter; Amy M Moore; Alison K Snyder-Warwick; Susan E Mackinnon; Matthew D Wood
Journal:  Plast Reconstr Surg       Date:  2022-04-01       Impact factor: 5.169

3.  The Effects of Intraoperative Electrical Stimulation on Regeneration and Recovery After Nerve Isograft Repair in a Rat Model.

Authors:  Grace C Keane; Deng Pan; Joseph Roh; Ellen L Larson; Lauren Schellhardt; Daniel A Hunter; Alison K Snyder-Warwick; Amy M Moore; Susan E Mackinnon; Matthew D Wood
Journal:  Hand (N Y)       Date:  2020-07-15

4.  Long Acellular Nerve Allografts Cap Transected Nerve to Arrest Axon Regeneration and Alter Upstream Gene Expression in a Rat Neuroma Model.

Authors:  Deng Pan; Miles Bichanich; Ian S Wood; Daniel A Hunter; Scott M Tintle; Thomas A Davis; Matthew D Wood; Amy M Moore
Journal:  Plast Reconstr Surg       Date:  2021-07-01       Impact factor: 5.169

  4 in total

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