READ ME File For "3-Dimensional Imaging and Mathematical Modelling of Human Pulmonary Lymphatics"

Dataset DOI: 10.5258/SOTON/D1867

ReadMe Author: Stephanie Katherine Robinson, University of Southampton, ORCID ID:0000-0001-5436-2929. Contact skr1f21@soton.ac.uk or steph.k.robinson@gmail.com

This dataset supports the thesis entitled "3-Dimensional Imaging and Mathematical Modelling of Human Pulmonary Lymphatics"
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: July 2021

DESCRIPTION OF THE DATA


Due to size of the complete data set, all data can be found in the Biomedical Imaging Unit file store at: \\soton.ac.uk\resource\Biomedical Imaging Unit\Research\\Steph Robinson. Please contact myself (skr1f21@soton.ac.uk) or The Biomedical Imaging Unit to access this data. A readme file is located in this folder to allow navigation to the data.

Data includes indivdual radiographs and 32bit volumetric uCT dataset of 10 Human Lung tissue samples. Collected on the Med-X uCT protype uCT machine (muVIS owned machine).
Sample IDs of the 10 samples as described in the accosicated thesis: EV090, HL088, HL079, EV024, EV014, EV104, EV020, HL106, HL108, HL150.
Each Sample ID also has ~50 digitialised immunohistochemistry slides asscoiated with it. These are in a VSI format which can be opened by Fiji opensource software, or by VS desktop / OlyVIA olympus imaging software. 


This dataset contains:

For each Sample ID: 
1x 32bit raw volumetric data file of uCT imaging dataset (.raw/.vol). Associated radiographs (.tiff).
2x files containing ~25 Immunohstochemistry slides (.VSI). Stained with either LP21, D240, CD31, SMA or PCK (See thesis for further details).


Date of data collection: 1/9/2015 - 1/7/2021


Related projects/Funders:
EPSRC, The Gerald Kerkut Charitable Trust, University of Southampton.

Related publication:
Robinson SK, Ramsden JJ, Warner J, Lackie PM and Roose T (2019) Correlative 3D Imaging and MicrofluidicModelling of Human Pulmonary Lymphatics using Immunohistochemistry and High-resolution μCT. Nature Scientific Reports 9:6415.


Date that the file was created: 06/2021