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Töpperwien, Mareike
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Töpperwien, Mareike
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Töpperwien, Mareike
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Töpperwien, M.
Toepperwien, Mareike
Toepperwien, M.
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2020Journal Article Research Paper [["dc.bibliographiccitation.firstpage","9842"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Optics Express"],["dc.bibliographiccitation.lastpage","9859"],["dc.bibliographiccitation.volume","28"],["dc.contributor.author","Lohse, L. M."],["dc.contributor.author","Vassholz, M."],["dc.contributor.author","Töpperwien, M."],["dc.contributor.author","Jentschke, T."],["dc.contributor.author","Bergamaschi, A."],["dc.contributor.author","Chiriotti, S."],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2020-12-10T18:42:02Z"],["dc.date.available","2020-12-10T18:42:02Z"],["dc.date.issued","2020"],["dc.description.abstract","A main challenge in x-ray µCT with laboratory radiation derives from the broad spectral content, which in contrast to monochromatic synchrotron radiation gives rise to reconstruction artifacts and impedes quantitative reconstruction. Due to the low spectral brightness of these sources, monochromatization is unfavorable and parallel recording of a broad bandpath is practically indispensable. While conventional CT sums up all spectral components into a single detector value, spectral CT discriminates the data in several spectral bins. Here we show that a new generation of charge integrating and interpolating pixel detectors is ideally suited to implement spectral CT with a resolution in the range of 10 µm. We find that the information contained in several photon energy bins largely facilitates automated classification of materials, as demonstrated for of a mouse cochlea. Bones, soft tissues, background and metal implant materials are discriminated automatically. Importantly, this includes taking a better account of phase contrast effects, based on tailoring reconstruction parameters to specific energy bins."],["dc.identifier.doi","10.1364/OE.385389"],["dc.identifier.eissn","1094-4087"],["dc.identifier.pmid","32225584"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17771"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77783"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.issn","1094-4087"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.rights","Goescholar"],["dc.rights.uri","https://goedoc.uni-goettingen.de/licenses"],["dc.subject.gro","x-ray imaging"],["dc.subject.gro","biomedical tomography"],["dc.title","Spectral µCT with an energy resolving and interpolating pixel detector"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2018Journal Article Research Paper [["dc.bibliographiccitation.firstpage","6940"],["dc.bibliographiccitation.issue","27"],["dc.bibliographiccitation.journal","Proceedings of the National Academy of Sciences of the United States of America"],["dc.bibliographiccitation.lastpage","6945"],["dc.bibliographiccitation.volume","115"],["dc.contributor.author","Töpperwien, Mareike"],["dc.contributor.author","Meer, Franziska van der"],["dc.contributor.author","Stadelmann-Nessler, Christine"],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2020-03-11T09:06:18Z"],["dc.date.available","2020-03-11T09:06:18Z"],["dc.date.issued","2018"],["dc.description.abstract","To quantitatively evaluate brain tissue and its corresponding function, knowledge of the 3D cellular distribution is essential. The gold standard to obtain this information is histology, a destructive and labor-intensive technique where the specimen is sliced and examined under a light microscope, providing 3D information at nonisotropic resolution. To overcome the limitations of conventional histology, we use phase-contrast X-ray tomography with optimized optics, reconstruction, and image analysis, both at a dedicated synchrotron radiation endstation, which we have equipped with X-ray waveguide optics for coherence and wavefront filtering, and at a compact laboratory source. As a proof-of-concept demonstration we probe the 3D cytoarchitecture in millimeter-sized punches of unstained human cerebellum embedded in paraffin and show that isotropic subcellular resolution can be reached at both setups throughout the specimen. To enable a quantitative analysis of the reconstructed data, we demonstrate automatic cell segmentation and localization of over 1 million neurons within the cerebellar cortex. This allows for the analysis of the spatial organization and correlation of cells in all dimensions by borrowing concepts from condensed-matter physics, indicating a strong short-range order and local clustering of the cells in the granular layer. By quantification of 3D neuronal \"packing,\" we can hence shed light on how the human cerebellum accommodates 80% of the total neurons in the brain in only 10% of its volume. In addition, we show that the distribution of neighboring neurons in the granular layer is anisotropic with respect to the Purkinje cell dendrites."],["dc.identifier.doi","10.1073/pnas.1801678115"],["dc.identifier.pmid","29915047"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63291"],["dc.language.iso","en"],["dc.relation.eissn","1091-6490"],["dc.relation.issn","0027-8424"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.rights","CC BY-NC-ND 4.0"],["dc.subject.gro","x-ray imaging"],["dc.subject.gro","biomedical tomography"],["dc.title","Three-dimensional virtual histology of human cerebellum by X-ray phase-contrast tomography"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2018Journal Article Research Paper [["dc.bibliographiccitation.firstpage","24"],["dc.bibliographiccitation.issue","S2"],["dc.bibliographiccitation.journal","Microscopy and Microanalysis"],["dc.bibliographiccitation.lastpage","25"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Töpperwien, Mareike"],["dc.contributor.author","Eckermann, Marina"],["dc.contributor.author","Robisch, Anna Lena"],["dc.contributor.author","Stadelmann, Christine"],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2020-03-04T13:40:15Z"],["dc.date.available","2020-03-04T13:40:15Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1017/S1431927618012540"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63109"],["dc.language.iso","en"],["dc.relation.issn","1431-9276"],["dc.relation.issn","1435-8115"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.subject.gro","x-ray imaging"],["dc.subject.gro","biomedical tomography"],["dc.title","3d Virtual Histology of Human Cerebellum by Propagation-Based X-Ray Phase-Contrast Tomography"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2017Journal Article Research Paper [["dc.bibliographiccitation.artnumber","012001"],["dc.bibliographiccitation.journal","Journal of Physics. Conference Series"],["dc.bibliographiccitation.volume","849"],["dc.contributor.author","Töpperwien, Mareike"],["dc.contributor.author","Krenkel, Martin"],["dc.contributor.author","Ruhwedel, Torben"],["dc.contributor.author","Möbius, Wiebke"],["dc.contributor.author","Pacureanu, A."],["dc.contributor.author","Cloetens, Peter"],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2020-03-11T09:13:55Z"],["dc.date.available","2020-03-11T09:13:55Z"],["dc.date.issued","2017"],["dc.description.abstract","We present propagation-based phase-contrast tomography of mouse sciatic nerves stained with osmium, leading to an enhanced contrast in the myelin sheath around the axons, in order to visualize the threedimensional (3D) structure of the nerve. We compare different experimental parameters and show that contrast and resolution are high enough to identify single axons in the nerve, including characteristic functional structures such as Schmidt-Lanterman incisures."],["dc.identifier.doi","10.1088/1742-6596/849/1/012001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63293"],["dc.language.iso","en"],["dc.relation.issn","1742-6588"],["dc.relation.issn","1742-6596"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.rights","CC BY 3.0"],["dc.subject.gro","x-ray imaging"],["dc.subject.gro","biomedical tomography"],["dc.title","Phase-contrast tomography of sciatic nerves: image quality and experimental parameters"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2021-05-04Journal Article Research Paper [["dc.bibliographiccitation.artnumber","e2014472118"],["dc.bibliographiccitation.issue","18"],["dc.bibliographiccitation.journal","Proceedings of the National Academy of Sciences of the United States of America"],["dc.bibliographiccitation.volume","118"],["dc.contributor.author","Keppeler, Daniel"],["dc.contributor.author","Kampshoff, Christoph A."],["dc.contributor.author","Thirumalai, Anupriya"],["dc.contributor.author","Duque-Afonso, Carlos J."],["dc.contributor.author","Schaeper, Jannis J."],["dc.contributor.author","Quilitz, Tabea"],["dc.contributor.author","Töpperwien, Mareike"],["dc.contributor.author","Vogl, Christian"],["dc.contributor.author","Hessler, Roland"],["dc.contributor.author","Meyer, Alexander"],["dc.contributor.author","Salditt, Tim"],["dc.contributor.author","Moser, Tobias"],["dc.date.accessioned","2021-06-02T14:33:54Z"],["dc.date.available","2021-06-02T14:33:54Z"],["dc.date.issued","2021-05-04"],["dc.description.abstract","The cochlea of our auditory system is an intricate structure deeply embedded in the temporal bone. Compared with other sensory organs such as the eye, the cochlea has remained poorly accessible for investigation, for example, by imaging. This limitation also concerns the further development of technology for restoring hearing in the case of cochlear dysfunction, which requires quantitative information on spatial dimensions and the sensorineural status of the cochlea. Here, we employed X-ray phase-contrast tomography and light-sheet fluorescence microscopy and their combination for multiscale and multimodal imaging of cochlear morphology in species that serve as established animal models for auditory research. We provide a systematic reference for morphological parameters relevant for cochlear implant development for rodent and nonhuman primate models. We simulate the spread of light from the emitters of the optical implants within the reconstructed nonhuman primate cochlea, which indicates a spatially narrow optogenetic excitation of spiral ganglion neurons."],["dc.identifier.doi","10.1073/pnas.2014472118"],["dc.identifier.pmid","33903231"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87093"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/251"],["dc.language.iso","en"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation.eissn","1091-6490"],["dc.relation.issn","0027-8424"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.relation.workinggroup","RG Moser (Molecular Anatomy, Physiology and Pathology of Sound Encoding)"],["dc.subject.gro","x-ray imaging"],["dc.subject.gro","biomedical tomography"],["dc.title","Multiscale photonic imaging of the native and implanted cochlea"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2019Journal Article Research Paper [["dc.bibliographiccitation.firstpage","70"],["dc.bibliographiccitation.journal","NeuroImage"],["dc.bibliographiccitation.lastpage","80"],["dc.bibliographiccitation.volume","199"],["dc.contributor.author","Töpperwien, Mareike"],["dc.contributor.author","Markus, Andrea"],["dc.contributor.author","Alves, Frauke"],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2020-03-04T13:32:26Z"],["dc.date.available","2020-03-04T13:32:26Z"],["dc.date.issued","2019"],["dc.description.abstract","Knowledge of the three-dimensional (3d) neuronal cytoarchitecture is an important factor in order to understand the connection between tissue structure and function or to visualize pathological changes in neurodegenerative diseases or tumor development. The gold standard in neuropathology is histology, a technique which provides insights into the cellular organization based on sectioning of the sample. Conventional histology, however, misses the complete 3d information as only individual two-dimensional slices through the object are available. In this work, we use propagation-based phase-contrast x-ray tomography to perform 3d virtual histology on cerebellar tissue from mice. This technique enables us to non-invasively visualize the entire 3d density distribution of the examined samples at isotropic (sub-)cellular resolution. One central challenge, however, of the technique is the fact that contrast for important structural features can be easily lost due to small electron density differences, notably between the cells and surrounding tissue. Here, we evaluate the influence of different embedding media, which are intermediate steps in sample preparation for classical histology, on contrast formation and examine the applicability of the different sample preparations both at a synchrotron-based holotomography setup as well as a laboratory source."],["dc.identifier.doi","10.1016/j.neuroimage.2019.05.043"],["dc.identifier.pmid","31129306"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16568"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63105"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/201"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation.eissn","1095-9572"],["dc.relation.issn","1053-8119"],["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","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.gro","x-ray imaging"],["dc.subject.gro","biomedical tomography"],["dc.title","Contrast enhancement for visualizing neuronal cytoarchitecture by propagation-based x-ray phase-contrast tomography"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2018Journal Article Research Paper [["dc.bibliographiccitation.firstpage","6586"],["dc.bibliographiccitation.issue","29"],["dc.bibliographiccitation.journal","The Journal of Neuroscience"],["dc.bibliographiccitation.lastpage","6596"],["dc.bibliographiccitation.volume","38"],["dc.contributor.author","Weil, Marie-Theres"],["dc.contributor.author","Heibeck, Saskia"],["dc.contributor.author","Töpperwien, Mareike"],["dc.contributor.author","tom Dieck, Susanne"],["dc.contributor.author","Ruhwedel, Torben"],["dc.contributor.author","Salditt, Tim"],["dc.contributor.author","Rodicio, María C."],["dc.contributor.author","Morgan, Jennifer R."],["dc.contributor.author","Nave, Klaus-Armin"],["dc.contributor.author","Möbius, Wiebke"],["dc.contributor.author","Werner, Hauke B."],["dc.date.accessioned","2020-12-10T18:42:35Z"],["dc.date.available","2020-12-10T18:42:35Z"],["dc.date.issued","2018"],["dc.description.abstract","In the nervous system, myelination of axons enables rapid impulse conduction and is a specialized function of glial cells. Myelinating glia are the last cell type to emerge in the evolution of vertebrate nervous systems, presumably in ancient jawed vertebrates (gnathostomata) because jawless vertebrates (agnathans) lack myelin. We have hypothesized that, in these unmyelinated species, evolutionary progenitors of myelinating cells must have existed that should still be present in contemporary agnathan species. Here, we used advanced electron microscopic techniques to reveal axon-glia interactions in the sea lamprey Petromyzon marinus By quantitative assessment of the spinal cord and the peripheral lateral line nerve, we observed a marked maturation-dependent growth of axonal calibers. In peripheral nerves, all axons are ensheathed by glial cells either in bundles or, when larger than the threshold caliber of 3 μm, individually. The ensheathing glia are covered by a basal lamina and express SoxE-transcription factors, features of mammalian Remak-type Schwann cells. In larval lamprey, the ensheathment of peripheral axons leaves gaps that are closed in adults. CNS axons are also covered to a considerable extent by glial processes, which contain a high density of intermediate filaments, glycogen particles, large lipid droplets, and desmosomes, similar to mammalian astrocytes. Indeed, by in situ hybridization, these glial cells express the astrocyte marker Aldh1l1 Specimens were of unknown sex. Our observations imply that radial sorting, ensheathment, and presumably also metabolic support of axons are ancient functions of glial cells that predate the evolutionary emergence of myelin in jawed vertebrates.SIGNIFICANCE STATEMENT We used current electron microscopy techniques to examine axon-glia units in a nonmyelinated vertebrate species, the sea lamprey. In the PNS, lamprey axons are fully ensheathed either individually or in bundles by cells ortholog to Schwann cells. In the CNS, axons associate with astrocyte orthologs, which contain glycogen and lipid droplets. We suggest that ensheathment, radial sorting, and metabolic support of axons by glial cells predate the evolutionary emergence of myelin in ancient jawed vertebrates."],["dc.identifier.doi","10.1523/JNEUROSCI.1034-18.2018"],["dc.identifier.eissn","1529-2401"],["dc.identifier.issn","0270-6474"],["dc.identifier.pmid","29941446"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78012"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.eissn","1529-2401"],["dc.relation.issn","0270-6474"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.subject.gro","biomedical tomography"],["dc.title","Axonal Ensheathment in the Nervous System of Lamprey: Implications for the Evolution of Myelinating Glia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2016Conference Paper [["dc.contributor.author","Töpperwien, Mareike"],["dc.contributor.author","Krenkel, Martin"],["dc.contributor.author","Quade, Felix"],["dc.contributor.author","Salditt, Tim"],["dc.contributor.editor","Khounsary, Ali M."],["dc.contributor.editor","Dorssen, Gert E. van"],["dc.date.accessioned","2017-09-07T11:54:05Z"],["dc.date.available","2017-09-07T11:54:05Z"],["dc.date.issued","2016"],["dc.description.abstract","Due to the large penetration depth and small wavelength hard x-rays offer a unique potential for 3D biomedical and biological imaging, combining capabilities of high resolution and large sample volume. However, in classical absorption-based computed tomography, soft tissue only shows a weak contrast, limiting the actual resolution. With the advent of phase-contrast methods, the much stronger phase shift induced by the sample can now be exploited. For high resolution, free space propagation behind the sample is particularly well suited to make the phase shift visible. Contrast formation is based on the self-interference of the transmitted beam, resulting in object-induced intensity modulations in the detector plane. As this method requires a sufficiently high degree of spatial coherence, it was since long perceived as a synchrotron-based imaging technique. In this contribution we show that by combination of high brightness liquid-metal jet microfocus sources and suitable sample preparation techniques, as well as optimized geometry, detection and phase retrieval, excellent three-dimensional image quality can be obtained, revealing the anatomy of a cobweb spider in high detail. This opens up new opportunities for 3D virtual histology of small organisms. Importantly, the image quality is finally augmented to a level accessible to automatic 3D segmentation."],["dc.identifier.doi","10.1117/12.2246460"],["dc.identifier.gro","3145109"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/2809"],["dc.language.iso","en"],["dc.notes.intern","Crossref Import"],["dc.notes.status","public"],["dc.publisher","SPIE"],["dc.publisher.place","Bellingham, Washington"],["dc.relation.conference","Advances in Laboratory-Based X-Ray Sources, Optics, and Applications"],["dc.relation.eventend","2016-08-31"],["dc.relation.eventlocation","San Diego, Calif."],["dc.relation.eventstart","2016-08-30"],["dc.relation.ispartof","Advances in Laboratory-Based X-Ray Sources, Optics, and Applications V"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.subject.gro","x-ray imaging"],["dc.subject.gro","biomedical tomography"],["dc.title","Laboratory-based x-ray phase-contrast tomography enables 3D virtual histology"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]Details DOI2016Journal Article Research Paper [["dc.bibliographiccitation.artnumber","035007"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","AIP Advances"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Krenkel, Martin"],["dc.contributor.author","Toepperwien, Mareike"],["dc.contributor.author","Dullin, Christian"],["dc.contributor.author","Alves, Frauke"],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2017-09-07T11:54:36Z"],["dc.date.available","2017-09-07T11:54:36Z"],["dc.date.issued","2016"],["dc.description.abstract","We have performed high-resolution phase-contrast tomography on whole mice with a laboratory setup. Enabled by a high-brilliance liquid- metal- jet source, we show the feasibility of propagation-based phase contrast in local tomography even in the presence of strongly absorbing surrounding tissue as it is the case in small animal imaging of the lung. We demonstrate the technique by reconstructions of the mouse lung for two different fields of view, covering the whole organ, and a zoom to the local finer structure of terminal airways and alveoli. With a resolution of a few micrometers and the wide availability of the technique, studies of larger biological samples at the cellular level become possible. (c) 2016 Author(s)."],["dc.identifier.doi","10.1063/1.4943898"],["dc.identifier.gro","3141718"],["dc.identifier.isi","000373684200008"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13246"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/302"],["dc.notes.intern","WoS Import 2017-03-10 / Funder: BMBF-Verbundforschung; [SFB 755]"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","PUB_WoS_Import"],["dc.relation.issn","2158-3226"],["dc.relation.orgunit","Fakultät für Physik"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.gro","x-ray imaging"],["dc.subject.gro","biomedical tomography"],["dc.title","Propagation-based phase-contrast tomography for high-resolution lung imaging with laboratory sources"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI WOS2020Journal Article Research Paper [["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","02"],["dc.bibliographiccitation.journal","Journal of Medical Imaging"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Reichardt, Marius"],["dc.contributor.author","Töpperwien, Mareike"],["dc.contributor.author","Khan, Amara"],["dc.contributor.author","Alves, Frauke"],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2020-03-10T15:14:49Z"],["dc.date.available","2020-03-10T15:14:49Z"],["dc.date.issued","2020"],["dc.description.abstract","Purpose: We present a phase-contrast x-ray tomography study of wild type C57BL/6 mouse hearts as a nondestructive approach to the microanatomy on the scale of the entire excised organ. Based on the partial coherence at a home-built phase-contrast μ-CT setup installed at a liquid metal jet source, we exploit phase retrieval and hence achieve superior image quality for heart tissue, almost comparable to previous synchrotron data on the whole organ scale. Approach: In our work, different embedding methods and heavy metal-based stains have been explored. From the tomographic reconstructions, quantitative structural parameters describing the three-dimensional (3-D) architecture have been derived by two different fiber tracking algorithms. The first algorithm is based on the local gradient of the reconstructed electron density. By performing a principal component analysis on the local structure-tensor of small subvolumes, the dominant direction inside the volume can be determined. In addition to this approach, which is already well established for heart tissue, we have implemented and tested an algorithm that is based on a local 3-D Fourier transform. Results: We showed that the choice of sample preparation influences the 3-D structure of the tissue, not only in terms of contrast but also with respect to the structural preservation. A heart prepared with the evaporation-of-solvent method was used to compare both algorithms. The results of structural orientation were very similar for both approaches. In addition to the determination of the fiber orientation, the degree of filament alignment and local thickness of single muscle fiber bundles were obtained using the Fourier-based approach. Conclusions: Phase-contrast x-ray tomography allows for investigating the structure of heart tissue with an isotropic resolution below 10 μm. The fact that this is possible with compact laboratory instrumentation opens up new opportunities for screening samples and optimizing sample preparation, also prior to synchrotron beamtimes. Further, results from the structural analysis can help in understanding cardiovascular diseases or can be used to improve computational models of the heart."],["dc.identifier.doi","10.1117/1.JMI.7.2.023501"],["dc.identifier.pmid","32206684"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63285"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/194"],["dc.language.iso","en"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation.issn","2329-4302"],["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.subject.gro","biomedical tomography"],["dc.title","Fiber orientation in a whole mouse heart reconstructed by laboratory phase-contrast micro-CT"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI PMID PMC
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