READ ME File For 'Datasets Supporting article entitled "Immunofluorescence-guided segmentation of three-dimensional features in micro-computed tomography datasets of human lung tissue"'

Dataset DOI: 

Author: Matthew J. Lawson, University of Southampton, m.j.lawson@soton.ac.uk
This dataset supports the publication:
AUTHORS: Matthew J Lawson, Orestis L Katsamenis, David S Chatelet, Aiman Alzetani, Oliver Larkin, Ian Haig, Philipp Schneider, Peter Lackie and Jane Warner
TITLE:Immunofluorescence-guided segmentation of three-dimensional features in micro-computed tomography datasets of human lung tissue
JOURNAL: Royal Society Interface
PAPER DOI:Currently Unknown


This dataset contains:

Data supporting Paper of Title: Immunofluorescence-guided segmentation of three-dimensional features in micro-computed tomography datasets of human lung tissue

The Image data are as follows:

2x 16-bit processed micro-CT data files 
Contact for access to micro-CT raw Data files- 2x.
3x H&E Histology Tiff files
2x Blood vessel segmentation files
33x processed Ck18 immunofluorescence tiff files (image stacks contianing 3x 16-bit greyscale images in order FITC channel, Ck18 IF channel, DAPI channel; all cropped and rotated)
Contact for access to raw immunofluorescence files- 33x.
2x Input folders for automated warping script (compressed as .zip files)
2x output folders from automated warping script (compressed as .zip files)
2x 16-bit processed micro-CT data files (section volume)
2x Interpolated Ck18 segmentation files (section volume)
2x Blood vessel segmentation files (section volume)
Contact for access to Avizo visualisation projects- 2x.
2x Supplementary Videos illustrating 3D visualistations

The script files for ImageJ(Fiji) are as follows:
1x 'Automated warping script file'
1x Weka Classifier for bubble artefact segmentation

Note: Lung1 is also named HL093 and Lung2 is also named HL098 

Date of data collection: 2016-2020

Information about geographic location of data collection: University of Southampton, U.K.


Read Me file created: September 2020