Töpperwien, Mareike

[["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"]]

[["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"]]

[["dc.bibliographiccitation.firstpage","4331"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Biomedical Optics Express"],["dc.bibliographiccitation.lastpage","4347"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Carboni, Eleonora"],["dc.contributor.author","Nicolas, Jan-David"],["dc.contributor.author","Töpperwien, Mareike"],["dc.contributor.author","Stadelmann-Nessler, Christine"],["dc.contributor.author","Lingor, Paul"],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2017-11-09T09:25:21Z"],["dc.date.accessioned","2021-10-11T11:31:15Z"],["dc.date.available","2017-11-09T09:25:21Z"],["dc.date.available","2021-10-11T11:31:15Z"],["dc.date.issued","2017"],["dc.description.abstract","We have used scanning X-ray diffraction (XRD) and X-ray fluorescence (XRF) with micro-focused synchrotron radiation to study histological sections from human substantia nigra (SN). Both XRF and XRD mappings visualize tissue properties, which are inaccessible by conventional microscopy and histology. We propose to use these advanced tools to characterize neuronal tissue in neurodegeneration, in particular in Parkinson's disease (PD). To this end, we take advantage of the recent experimental progress in x-ray focusing, detection, and use automated data analysis scripts to enable quantitative analysis of large field of views. XRD signals are recorded and analyzed both in the regime of small-angle (SAXS) and wide-angle x-ray scattering (WAXS). The SAXS signal was analyzed in view of the local myelin structure, while WAXS was used to identify crystalline deposits. PD tissue scans exhibited increased amounts of crystallized cholesterol. The XRF analysis showed increased amounts of iron and decreased amounts of copper in the PD tissue compared to the control."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2017"],["dc.identifier.doi","10.1364/BOE.8.004331"],["dc.identifier.gro","3142465"],["dc.identifier.pmid","29082068"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14826"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/90600"],["dc.language","eng"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.issn","2156-7085"],["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","Goescholar"],["dc.rights.access","openAccess"],["dc.rights.uri","https://goedoc.uni-goettingen.de/licenses"],["dc.subject","170.6510) Spectroscopy, tissue diagnostics; (170.6935) Tissue characterization; (180.5810) Scanning microscopy; (180.7460) X-ray microscopy"],["dc.subject.ddc","530"],["dc.subject.gro","x-ray imaging"],["dc.subject.gro","x-ray scattering"],["dc.title","Imaging of neuronal tissues by x-ray diffraction and x-ray fluorescence microscopy: evaluation of contrast and biomarkers for neurodegenerative diseases"],["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"]]

[["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"]]

[["dc.bibliographiccitation.firstpage","383"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","European Biophysics Journal"],["dc.bibliographiccitation.lastpage","392"],["dc.bibliographiccitation.volume","45"],["dc.contributor.author","Töpperwien, M."],["dc.contributor.author","Priebe, M."],["dc.contributor.author","Salditt, T."],["dc.date.accessioned","2017-09-07T11:44:50Z"],["dc.date.available","2017-09-07T11:44:50Z"],["dc.date.issued","2016"],["dc.description.abstract","We have performed scanning nano-beam small-angle X-ray scattering (nano-SAXS) experiments on in vitro-formed actin filaments cross-linked with -actinin. The experimental method combines a high resolution in reciprocal space with a real space resolution as given by the spot-size of the nano-focused X-ray beam, and opens up new opportunities to study local super-molecular structures of actin filaments. In this first proof-of-concept, we show that the local orientation of actin bundles formed by the cross-linking can be visualized by the X-ray darkfield maps. The filament bundles give rise to highly anisotropic diffraction patterns showing distinct streaks perpendicular to the bundle axes. Interestingly, some diffraction patterns exhibit a fine structure in the form of intensity modulations allowing for a more detailed analysis of the order within the bundles. A first empirical quantification of these modulations is included in the present work."],["dc.identifier.doi","10.1007/s00249-015-1107-9"],["dc.identifier.gro","3141659"],["dc.identifier.isi","000378049100001"],["dc.identifier.pmid","26715112"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/6342"],["dc.language.iso","en"],["dc.notes.intern","WoS Import 2017-03-10 / Funder: Deutsche Forschungsgemeinschaft [SFB 937/A11]"],["dc.notes.status","final"],["dc.notes.submitter","PUB_WoS_Import"],["dc.relation.eissn","1432-1017"],["dc.relation.issn","0175-7571"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.subject.gro","x-ray scattering"],["dc.title","Actin bundles cross-linked with α -actinin studied by nanobeam X-ray diffraction"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["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"]]

[["dc.bibliographiccitation.artnumber","041109"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Applied Physics Letters"],["dc.bibliographiccitation.volume","113"],["dc.contributor.author","Hagemann, Johannes"],["dc.contributor.author","Töpperwien, Mareike"],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2020-04-23T14:35:46Z"],["dc.date.available","2020-04-23T14:35:46Z"],["dc.date.issued","2018"],["dc.description.abstract","X-ray phase contrast imaging based on free space propagation relies on phase retrieval to obtain sharp images of micro- and nanoscale objects, with widespread applications in material science and biomedical research. For high resolution synchrotron experiments, phase retrieval is largely based on the single step reconstruction using the contrast transfer function approach (CTF), as introduced almost twenty years ago [Cloetens et al., Appl. Phys. Lett. 75, 2912 (1999)]. Notwithstanding its tremendous merits, this scheme makes stringent assumptions on the optical properties of the object, requiring, in particular, a weakly varying phase. In this work, we show how significant the loss in image quality becomes if these assumption are violated, and how phase retrieval can be easily improved by a simple scheme of alternating projections. Importantly, the approach demonstrated here uses the same input data and constraint sets as the conventional CTF-based phase retrieval, and is particularly well suited for the holographic regime."],["dc.identifier.doi","10.1063/1.5029927"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64332"],["dc.language.iso","en"],["dc.relation.eissn","1077-3118"],["dc.relation.issn","0003-6951"],["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.title","Phase retrieval for near-field X-ray imaging beyond linearisation or compact support"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["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"]]

[["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"]]

[["dc.bibliographiccitation.firstpage","368"],["dc.bibliographiccitation.journal","Talanta"],["dc.bibliographiccitation.lastpage","376"],["dc.bibliographiccitation.volume","161"],["dc.contributor.author","Surowka, A.D."],["dc.contributor.author","Töpperwien, Mareike"],["dc.contributor.author","Bernhardt, Markus"],["dc.contributor.author","Nicolas, J. D."],["dc.contributor.author","Osterhoff, Markus"],["dc.contributor.author","Salditt, Tim"],["dc.contributor.author","Adamek, D."],["dc.contributor.author","Szczerbowska-Boruchowska, M."],["dc.date.accessioned","2020-03-11T09:18:44Z"],["dc.date.available","2020-03-11T09:18:44Z"],["dc.date.issued","2016"],["dc.description.abstract","Human dopaminergic system in general, and substantia nigra (SN) neurons, in particular, are implicated in the pathologies underlying the human brain aging. The interplay between aberrations in the structural organization and elemental composition of SN neuron bodies has recently gained in importance as selected metals: Fe, Cu, Zn, Ca were found to trigger oxidative-stress-mediated aberration in their molecular assembly due to concomitant protein (alpha-synuclein, tau-protein) aggregation, gliosis and finally oxidative stress. In the present study, we demonstrate an integrated approach to the analysis of the structural organization, assembly, and metals' accumulation in two distinct areas of SN: in the neuromelanin neurons and neuropil. By using the highly brilliant source of PETRA III and the Kirkpatrick-Baez nano-focus, large area histological brain slices are scanned at the sub-neuronal resolution, taking advantage of continuous motor movement and reduced acquisition time. Elemental analysis with synchrotron radiation based X-ray Fluorescence (SRXRF) is combined with X-ray Phase Contrast Imaging (XPCI) to correct for inherent aberrations in the samples' density and thickness, often referred to as the mass thickness effect. Based on the raw SRXRF spectra, we observed the accumulation of P, S, Cl, K, Ca, Fe, Cu and Zn predominantly in the SN neurons. However, upon the mass thickness correction, the distributions of Cl became significantly more uniform. Simultaneously with the fluorescence signal, the Small Angle X-ray Scattering (SAXS) is recorded by a pixel detector positioned in the far-field, enabling fast online computation of the darkfield and differential phase contrast (DPC). The data has demonstrated the SN neurons and neuropil produces excellent contrast which is due to their different mass density and scattering strength, indicative of differences in local structure and assembly therein. In all, the results show that combined SRXRF-XPCI-SAXS experiments can robustly serve as a unique tool for understanding the interplay between the chemical composition and structural organization that may drive the biochemical age-related processes occurring in the human dopaminergic system."],["dc.identifier.doi","10.1016/j.talanta.2016.08.023"],["dc.identifier.gro","3142481"],["dc.identifier.pmid","27769419"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63294"],["dc.language.iso","en"],["dc.notes.intern","lifescience updates Crossref Import"],["dc.notes.status","final"],["dc.relation.eissn","1873-3573"],["dc.relation.issn","0039-9140"],["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.title","Combined in-situ imaging of structural organization and elemental composition of substantia nigra neurons in the elderly"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]