Quantified Morphology of the Pig Vagus Nerve

Nicole A. Pelot
,
Gabriel B. Goldhagen
,
Jake E. Cariello
,
Warren M. Grill

This dataset provides binary traces of cross sections of pig vagus nerves from which we quantified the effective nerve diameters, the effective fascicle diameters, and the number of fascicles.

Updated on May 9, 2020 (Version 1, Revision 2)

Corresponding Contributor:

Nikki Pelot
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Dataset Overview

Study purpose: To quantify pig vagus nerve morphology

Data collection: Using micrographs of pig vagus nerve cross sections that were stained with Masson’s trichrome, we quantified effective nerve and fascicle diameters, as well as the number of fascicles at the cervical and subdiaphragmatic levels. These morphological data provide neural anatomical information, as well as foundational knowledge for computational and preclinical studies of vagus nerve stimulation. The dataset contains TIFF files for 9 left cervical and 9 anterior subdiaphragmatic pig vagus nerve samples, providing segmented traces of the fascicles and nerves.

Primary conclusion: None stated


Curator's Notes

Experimental Design: We segmented Masson’s trichrome micrographs of 9 left cervical and 9 anterior subdiaphragmatic pig vagus nerves using Nikon’s NIS-Elements to identify fascicular (inner perineurial) and neural boundaries. Using the resulting binary traces, we quantified the effective nerve and fascicle diameters, as well as the number of fascicles.

Completeness: This dataset is part of a larger study "Quantified vagus nerve morphology across species".

Subjects & Samples: Adult male (n=3) and female (n=6) domestic pink pigs were used for this study, 10 - 15 weeks old.

Primary vs derivative data: Data in the primary and derived files are divided by subject identification, then sample number (listed in sample file). The primary folder contains TIFF images with binary traces of the fascicles and nerves. Neurolucida 360 from MBF Bioscience was used to convert the binary traces into xml file format to overlay with the original Masson’s trichrome nd2 micrographs (in prior dataset) and then to convert the images to jp2 extension (in derived folder).

Code Availability: Matlab code is used to analyze tif files, load morphology, and plot morphology.

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About this dataset

Publishing history

April 2, 2020
Originally Published
May 9, 2020 (Version 1)
Last Updated

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