Literature DB >> 7217995

Imaging system for nerve and fiber tract morphometry: components, approaches, performance, and results.

I R Zimmerman, J L Karnes, P C O'Brien, P J Dyck.   

Abstract

This report describes the imaging system that was developed to recognize, count, size, and evaluate shapes of transverse myelinated fiber (MF) profiles in nerves and fiber tracts automatically and by operator interaction. Automatic analysis, without operator interaction, will either miss a variable percentage of small MFs (using thresholds that discriminate against all other tissue profiles) or include most MFs but spuriously detect other tissue profiles (using more sensitive thresholds). Systems such as this must therefore be operator-interactive. The system that was developed will, in a favorable histologic section, automatically detect and border myelin in more than 85% of MFs without inclusion of other tissue elements. The remainder of the MFs are then identified by the operator with the digitizer pen, and the myelin is automatically bordered or, in rare cases, drawn in. Very reliable, reproducible, and rapid measurements of MF number, size, and shape can be obtained with this system. From evaluation of the size and shape of MFs in semithin sections in the light microscope as compared with the same fibers in adjacent thin sections in the electron microscope, measurements by this system can be expressed as if they were obtained on thin sections. Evaluations can be analyzed statistically, with results printed out, displayed on a video screen, and graphed. Such a system will be useful in evaluating and following morphologic changes in number, size, and shape of MFs in development, aging, regeneration, neurotoxicity, and various diseases.

Entities:  

Mesh:

Year:  1980        PMID: 7217995     DOI: 10.1097/00005072-198007000-00002

Source DB:  PubMed          Journal:  J Neuropathol Exp Neurol        ISSN: 0022-3069            Impact factor:   3.685


  13 in total

1.  Structural alterations of nerve during cuff compression.

Authors:  P J Dyck; A C Lais; C Giannini; J K Engelstad
Journal:  Proc Natl Acad Sci U S A       Date:  1990-12       Impact factor: 11.205

2.  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

3.  Epidermal nerve fibers: confidence intervals and continuous measures with nerve conduction.

Authors:  JaNean K Engelstad; Sean W Taylor; Lawrence V Witt; Belinda J Hoebing; David N Herrmann; P James B Dyck; Christopher J Klein; David M Johnson; Jenny L Davies; Rickey E Carter; Peter J Dyck
Journal:  Neurology       Date:  2012-10-24       Impact factor: 9.910

4.  A quantitative pathological investigation of the cervical cord, roots and ganglia after long-term amputation of the unilateral upper arm.

Authors:  H Suzuki; K Oyanagi; H Takahashi; M Kono; M Yokoyama; F Ikuta
Journal:  Acta Neuropathol       Date:  1993       Impact factor: 17.088

5.  Spatial pattern of nerve fiber abnormality indicative of pathologic mechanism.

Authors:  P J Dyck; J Karnes; P O'Brien; H Nukada; A Lais; P Low
Journal:  Am J Pathol       Date:  1984-11       Impact factor: 4.307

6.  Combined scatter diagrams of sheath thickness and fibre calibre in human sural nerves: changes with age and neuropathy.

Authors:  R L Friede; W Beuche
Journal:  J Neurol Neurosurg Psychiatry       Date:  1985-08       Impact factor: 10.154

7.  Somatotopic heat pain thresholds and intraepidermal nerve fibers in health.

Authors:  Jenny L Davies; Janean K Engelstad; Linde E Gove; Linda K Linbo; Rickey E Carter; Christopher Lynch; Nathan P Staff; Christopher J Klein; P James B Dyck; David N Herrmann; Peter J Dyck
Journal:  Muscle Nerve       Date:  2018-04-20       Impact factor: 3.217

8.  Experimental diabetic neuropathy: impairment of slow transport with changes in axon cross-sectional area.

Authors:  R Medori; L Autilio-Gambetti; S Monaco; P Gambetti
Journal:  Proc Natl Acad Sci U S A       Date:  1985-11       Impact factor: 11.205

9.  Immunohistochemical characterization of amyloid proteins in sural nerves and clinical associations in amyloid neuropathy.

Authors:  K Li; R A Kyle; P J Dyck
Journal:  Am J Pathol       Date:  1992-07       Impact factor: 4.307

10.  Capillary number and percentage closed in human diabetic sural nerve.

Authors:  P J Dyck; S Hansen; J Karnes; P O'Brien; H Yasuda; A Windebank; B Zimmerman
Journal:  Proc Natl Acad Sci U S A       Date:  1985-04       Impact factor: 11.205

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