Published June 13, 2020
| Version 1
Dataset
Open
3d Virtual Patho-Histology of Lung Tissue from Covid19 Patients based on Phase Contrast X-ray Tomography
Creators
- 1. University of Göttingen
- 2. DESY
- 3. Universität Basel
- 4. Medizinische Hochschule Hannover
Description
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)
Files
Files
(568.4 GB)
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md5:2da3e5bb95ec1999413f11a6e3c496fb
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49.0 GB | Download |
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md5:63bf5757a84360534a1202eb39c0b250
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98.7 GB | Download |
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md5:3d7bbaf26e097e579eae15dc9ad823e8
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53.2 GB | Download |
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md5:9024cc608e926641fb10633813a75e49
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84.6 GB | Download |
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md5:be04abcecab817b6162df5ede0bb4205
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102.7 GB | Download |
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md5:d56c5d236d87646e47cbac0fca966d09
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98.2 GB | Download |
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md5:aa130717b3b948a6c9f2e05d8739be8a
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82.0 GB | Download |