Journal Article PUBDB-2021-00594

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3D virtual pathohistology of lung tissue from Covid-19 patients based on phase contrast X-ray tomography

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2020
eLife Sciences Publications Cambridge

eLife 9, e60408 (1-25) () [10.7554/eLife.60408]
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Abstract: We present a three-dimensional (3D) approach for virtual histology and histopathology based on multi-scale phase contrast x-ray tomography, and use this to investigate the parenchymal architecture of unstained lung tissue from patients who succumbed to Covid-19. Based on this first proof-of-concept study, we propose multi-scale phase contrast x-ray tomography as a tool to unravel the pathophysiology of Covid-19, extending conventional histology by a third dimension and allowing for full quantification of tissue remodeling. By combining parallel and cone beam geometry, autopsy samples with a maximum cross section of 8 mm are scanned and reconstructed at a resolution and image quality, which allows for the segmentation of individual cells. Using the zoom capability of the cone beam geometry, regions-of-interest are reconstructed with a minimum voxel size of 167 nm. We exemplify the capability of this approach by 3D visualization of diffuse alveolar damage (DAD) with its prominent hyaline membrane formation, by mapping the 3D distribution and density of lymphocytes infiltrating the tissue, and by providing histograms of characteristic distances from tissue interior to the closest air compartment.

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Contributing Institute(s):
  1. DOOR-User (DOOR ; HAS-User)
  2. Experimentebetreuung PETRA III (FS-PET-S)
Research Program(s):
  1. 6215 - Soft Matter, Health and Life Sciences (POF3-621) (POF3-621)
  2. 6G3 - PETRA III (POF3-622) (POF3-622)
  3. DFG project 390729940 - EXC 2067: Multiscale Bioimaging: Von molekularen Maschinen zu Netzwerken erregbarer Zellen (390729940) (390729940)
Experiment(s):
  1. PETRA Beamline P10 (PETRA III)

Appears in the scientific report 2020
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 Record created 2021-01-21, last modified 2025-07-16


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