Human Vagus Nerve Stained with Masson's Trichrome

Nicole A. Pelot
J. Ashley Ezzell
Gabriel B. Goldhagen
Eric Musselman
Jake E. Cariello
Kara A. Clissold
Warren M. Grill

This dataset provides histological images of cross sections of human vagus nerves.

Updated on February 29, 2020 (Version 1)

Corresponding Contributor:

Nikki Pelot
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168 Files
8.95 GB
84 Records

Dataset Overview

Study purpose: To collect samples of human vagus nerves at the cervical and abdominal levels and provide Masson’s trichrome-stained cross sections

Data collection: We collected 18 left cervical, 19 right cervical, 16 anterior subdiaphragmatic, and 16 posterior subdiaphragmatic vagus nerve samples from embalmed human cadavers. Following paraffin embedding, we stained transverse cross sections with Masson’s trichrome. The dataset contains nd2 (filetype for Nikon’s NIS-Elements software) and TIFF files.

Primary conclusion: None stated

Curator's Notes

Experimental Design: Adult embalmed human cadavers (male and female) were used for this study. The vagus nerve was extracted from all subjects, and each sample underwent paraffin embedding, transverse sectioning, and Masson’s trichrome staining.

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

Subjects & Samples: Adult male (n=15) and female (n=15) embalmed human cadavers were used for this study, 54 - 90+ years old. The dataset contains 18 left cervical, 19 right cervical, 16 anterior subdiaphragmatic, and 16 posterior subdiaphragmatic human vagus nerve samples.

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 nd2 and TIFF images. There is no derivative folder.

Important notes: (1) Fiji software can be used to open nd2 files ( > Open Fiji > Plugins (top of the screen) > Bio-Formats > Bio-Formats Importer > Select the file.


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About this dataset

Publishing history

February 28, 2020
Originally Published
February 29, 2020 (Version 1)
Last Updated

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