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"]]

[["dc.bibliographiccitation.artnumber","e60408"],["dc.bibliographiccitation.journal","eLife"],["dc.bibliographiccitation.volume","9"],["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","Kühnel, Mark"],["dc.contributor.author","Jonigk, Danny"],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2021-03-01T08:45:14Z"],["dc.date.available","2021-03-01T08:45:14Z"],["dc.date.issued","2020"],["dc.description.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."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2020"],["dc.identifier.doi","10.7554/eLife.60408"],["dc.identifier.pmid","32815517"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17619"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/79864"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/162"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","Merged from goescholar"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation.eissn","2050-084X"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.orgunit","Fakultät für Physik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.rights","CC BY 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.subject.gro","biomedical tomography"],["dc.title","3D virtual pathohistology of lung tissue from Covid-19 patients based on phase contrast X-ray tomography"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1707"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Journal of Synchrotron Radiation"],["dc.bibliographiccitation.lastpage","1719"],["dc.bibliographiccitation.volume","27"],["dc.contributor.affiliation","Frohn, Jasper; 1Institute for X-ray Physics, Universität Göttingen, Friedrich-Hund-Platz 1, 37077Göttingen, Germany"],["dc.contributor.affiliation","Pinkert-Leetsch, Diana; 2Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, Robert Koch Strasse 40, 37075Göttingen, Germany"],["dc.contributor.affiliation","Missbach-Güntner, Jeannine; 2Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, Robert Koch Strasse 40, 37075Göttingen, Germany"],["dc.contributor.affiliation","Reichardt, Marius; 1Institute for X-ray Physics, Universität Göttingen, Friedrich-Hund-Platz 1, 37077Göttingen, Germany"],["dc.contributor.affiliation","Osterhoff, Markus; 1Institute for X-ray Physics, Universität Göttingen, Friedrich-Hund-Platz 1, 37077Göttingen, Germany"],["dc.contributor.affiliation","Alves, Frauke; 2Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, Robert Koch Strasse 40, 37075Göttingen, Germany"],["dc.contributor.author","Frohn, Jasper"],["dc.contributor.author","Reichardt, Marius"],["dc.contributor.author","Osterhoff, Markus"],["dc.contributor.author","Salditt, Tim"],["dc.contributor.author","Pinkert-Leetsch, Diana"],["dc.contributor.author","Missbach-Güntner, Jeannine"],["dc.contributor.author","Alves, Frauke"],["dc.date.accessioned","2020-12-03T08:19:06Z"],["dc.date.available","2020-12-03T08:19:06Z"],["dc.date.issued","2020-10-26"],["dc.date.updated","2022-02-09T13:21:33Z"],["dc.description.abstract","A multiscale three-dimensional (3D) virtual histology approach is presented, based on two configurations of propagation phase-contrast X-ray tomography, which have been implemented in close proximity at the GINIX endstation at the beamline P10/PETRA III (DESY, Hamburg, Germany). This enables the 3D reconstruction of characteristic morphological features of human pancreatic normal and tumor tissue, as obtained from cancer surgery, first in the form of a large-scale overview by parallel-beam illumination, followed by a zoom into a region-of-interest based on zoom tomography using a Kirkpatrick-Baez mirror with additional waveguide optics. To this end 1 mm punch biopsies of the tissue were taken. In the parallel tomography, a volumetric throughput on the order of 0.01 mm3 s-1 was achieved, while maintaining the ability to segment isolated cells. With a continuous rotation during the scan, a total acquisition time of less than 2 min was required for a full tomographic scan. Using the combination of both setups, islets of Langerhans, a three-dimensional cluster of cells in the endocrine part of the pancreas, could be located. Cells in such an islet were segmented and visualized in 3D. Further, morphological alterations of tumorous tissue of the pancreas were characterized. To this end, the anisotropy parameter Ω, based on intensity gradients, was used in order to quantify the presence of collagen fibers within the entire biopsy specimen. This proof-of-concept experiment of the multiscale approach on human pancreatic tissue paves the way for future 3D virtual pathology."],["dc.description.abstract","This paper presents propagation‐based phase‐contrast tomography in two configurations at the beamline endstation GINIX, demonstrated on the application of 1 mm human pancreatic tumor tissue biopsies. image"],["dc.identifier.doi","10.1107/S1600577520011327"],["dc.identifier.pmid","33147198"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/69419"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/85"],["dc.language.iso","en"],["dc.notes.intern","DeepGreen Import"],["dc.publisher","International Union of Crystallography"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation.issn","1600-5775"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.relation.workinggroup","RG Alves (Translationale Molekulare Bildgebung)"],["dc.rights","This is an open access article under the terms of the Creative Commons Attribution License, which permits use,\r\n distribution and reproduction in any medium, provided the original work is properly cited."],["dc.subject.gro","biomedical tomography"],["dc.title","3D virtual histology of human pancreatic tissue by multiscale phase-contrast X-ray tomography"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]