Frohn, Jasper

[["dc.contributor.author","Eckermann, Marina"],["dc.contributor.author","Frohn, Jasper"],["dc.contributor.author","Reichardt, Marius"],["dc.contributor.author","Osterhoff, Markus"],["dc.contributor.author","Sprung, Michael"],["dc.contributor.author","Westermeier, Fabian"],["dc.contributor.author","Tzankov, Alexandar"],["dc.contributor.author","Werlein, Christopher"],["dc.contributor.author","Kuehnel, Mark"],["dc.contributor.author","Jonigk, Danny"],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2020-06-26T11:04:13Z"],["dc.date.available","2020-06-26T11:04:13Z"],["dc.date.issued","2020"],["dc.description.abstract","We present a new approach of three-dimensional (3d) virtual histology and patho-histology 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 can propose multi-scale phase contrast x-ray tomography as a novel tool to unravel the patho-physiology of Covid-19, extending conventional histology by a third dimension and allowing for a full quantification of tissue remodeling.By combining parallel and cone beam geometry, autopsy samples with a cross section of 4mm 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 160nm. We exemplify the capability of this approach by 3d visualisation of the diffuse alveolar damage 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."],["dc.identifier.doi","10.1101/2020.06.21.20134882"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/66752"],["dc.language.iso","en"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.subject.gro","x-ray imaging"],["dc.subject.gro","biomedical tomography"],["dc.subject.gro","other"],["dc.title","3d Virtual Patho-Histology of Lung Tissue from Covid-19 Patients based on Phase Contrast X-ray Tomography"],["dc.type","preprint"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]