Title: 3d Virtual Patho-Histology of Lung Tissue from Covid19 Patients based on Phase Contrast X-ray Tomography

Type Dataset Salditt,Tim, Frohn, Jasper, Eckermann, Marina, Reichardt, Marius, Osterhoff, Markus, Westermeier, Fabian, Sprung, Michael, Tzankov, Alexandar, Kühnel, Mark, Jonigk, Danny (2020): 3d Virtual Patho-Histology of Lung Tissue from Covid19 Patients based on Phase Contrast X-ray Tomography. Zenodo. Dataset. https://zenodo.org/record/3892637

Authors: Salditt,Tim (University of Göttingen) ; Frohn, Jasper (University of Göttingen) ; Eckermann, Marina (University of Göttingen) ; Reichardt, Marius (University of Göttingen) ; Osterhoff, Markus (University of Göttingen) ; Westermeier, Fabian (DESY) ; Sprung, Michael (DESY) ; Tzankov, Alexandar (Universität Basel) ; Kühnel, Mark (Medizinische Hochschule Hannover) ; Jonigk, Danny (Medizinische Hochschule Hannover) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

X-ray phase contrast tomographys datasets of lung tissue from 6 Covid-19 patients (paraffin embedded unstained tissue), and one control tissue (healthy lung, in fixative solution). The data has been recorded as part of the Covid-19 Call for Proposals at DESY April 2020 at the GINIX instrument, beamline P10 of the PETRAIII storage ring at 8keV. Three different datasets are included in a single tar archive for each sample: (i) overview scan (up to 4mm cross section ) from stitching different tomograms, (ii) 1mm cylindrical punch, and (iii) cone-beam zoom tomogram recorded with waveguide illumination. 

voxel sizes: (i) 1.3µm, (ii) 650nm, (iii) 167nm. 

3 datasets per sample, raw format, voxel numbers given in Filename, single (32bit real)

More information

• DOI: 10.5281/zenodo.3892637
• Language: en

Subjects

• Covid-19 severe progression, Lung tissue, x-ray tomography, pathology, virtual histology

Dates

• Publication date: 2020
• Issued: June 13, 2020

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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