Salditt, Tim

[["dc.bibliographiccitation.firstpage","11552"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Optics Express"],["dc.bibliographiccitation.lastpage","11569"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Hagemann, Johannes"],["dc.contributor.author","Robisch, Anna-Lena"],["dc.contributor.author","Luke, D. R."],["dc.contributor.author","Homann, C."],["dc.contributor.author","Hohage, Thorsten"],["dc.contributor.author","Cloetens, Peter"],["dc.contributor.author","Suhonen, H."],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2017-09-07T11:46:15Z"],["dc.date.available","2017-09-07T11:46:15Z"],["dc.date.issued","2014"],["dc.description.abstract","We illustrate the errors inherent in the conventional empty beam correction of full field X-ray propagation imaging, i.e. the division of intensities in the detection plane measured with an object in the beam by the intensity pattern measured without the object, i.e. the empty beam intensity pattern. The error of this conventional approximation is controlled by the ratio of the source size to the smallest feature in the object, as is shown by numerical simulation. In a second step, we investigate how to overcome the flawed empty beam division by simultaneous reconstruction of the probing wavefront (probe) and of the object, based on measurements in several detection planes (multi-projection approach). The algorithmic scheme is demonstrated numerically and experimentally, using the defocus wavefront of the hard X-ray nanoprobe setup at the European Synchrotron Radiation Facility (ESRF). (C) 2014 Optical Society of America"],["dc.identifier.doi","10.1364/OE.22.011552"],["dc.identifier.fs","604845"],["dc.identifier.gro","3142122"],["dc.identifier.isi","000336957700017"],["dc.identifier.pmid","24921276"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12635"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/4789"],["dc.language.iso","en"],["dc.notes.intern","WoS Import 2017-03-10 / Funder: [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","1094-4087"],["dc.relation.orgunit","Institut für Numerische und Angewandte Mathematik"],["dc.relation.orgunit","Fakultät für Physik"],["dc.relation.orgunit","Fakultät für Mathematik und Informatik"],["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://goescholar.uni-goettingen.de/licenses"],["dc.subject.gro","x-ray imaging"],["dc.title","Reconstruction of wave front and object for inline holography from a set of detection planes"],["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.artnumber","073033"],["dc.bibliographiccitation.journal","New Journal of Physics"],["dc.bibliographiccitation.volume","17"],["dc.contributor.author","Robisch, Anna-Lena"],["dc.contributor.author","Kroeger, K."],["dc.contributor.author","Rack, A."],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2017-09-07T11:43:40Z"],["dc.date.available","2017-09-07T11:43:40Z"],["dc.date.issued","2015"],["dc.description.abstract","Image reconstruction of in-line holography depends crucially on the probing wave front used to illuminate an object. Aberrations inherent to the illumination can mix with the features imposed by the object. Conventional raw data processing methods rely on the division of the measured hologram by the intensity profile of the probe and are not able to fully eliminate artifacts caused by the illumination. Here we present a generalized ptychography approach to simultaneously reconstruct object and probe in the optical near-field. Combining the ideas of ptychographic lateral shifts of the object with variations of the propagation distance by longitudinal shifts, simultaneous reconstruction of object and probe was achieved equally well for a highly aberrated and a mildly disturbed probe without the need for an additional wave front diffuser. The method overcomes the image deterioration by a non-ideal probe and at the same time any restrictions due to linearization of the object's transmission function or the Fresnel propagator. The method is demonstrated experimentally using visible light and hard x-rays, in both parallel beam and cone beam geometry, which is relevant for high resolution x-ray imaging. It also opens up a new approach to characterize extended wave fronts by phase retrieval."],["dc.description.sponsorship","Open-Access Publikationsfonds 2015"],["dc.identifier.doi","10.1088/1367-2630/17/7/073033"],["dc.identifier.gro","3141859"],["dc.identifier.isi","000359135100006"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12453"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/1867"],["dc.language.iso","en"],["dc.notes.intern","WoS Import 2017-03-10"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","PUB_WoS_Import"],["dc.relation.issn","1367-2630"],["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 3.0"],["dc.subject.gro","x-ray imaging"],["dc.title","Near-field ptychography using lateral and longitudinal shifts"],["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","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","336"],["dc.bibliographiccitation.issue","S2"],["dc.bibliographiccitation.journal","Microscopy and Microanalysis"],["dc.bibliographiccitation.lastpage","339"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Wittmeier, Andrew"],["dc.contributor.author","Cassini, Chiara"],["dc.contributor.author","Hémonnot, Clément Y. J."],["dc.contributor.author","Weinhausen, Britta"],["dc.contributor.author","Bernhardt, Marten"],["dc.contributor.author","Salditt, Tim"],["dc.contributor.author","Köster, Sarah"],["dc.date.accessioned","2020-04-23T14:35:13Z"],["dc.date.available","2020-04-23T14:35:13Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1017/S1431927618013983"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64328"],["dc.language.iso","en"],["dc.relation.eissn","1435-8115"],["dc.relation.issn","1431-9276"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Köster (Cellular Biophysics)"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.subject.gro","x-ray imaging"],["dc.subject.gro","x-ray scattering"],["dc.subject.gro","cellular biophysics"],["dc.title","Scanning Small-Angle-X-Ray Scattering for Imaging Biological Cells"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["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","480"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Acta Crystallographica. Section A, Foundations and Advances"],["dc.bibliographiccitation.lastpage","496"],["dc.bibliographiccitation.volume","77"],["dc.contributor.affiliation","Vassholz, Malte; 1Universität GöttingenInstitut für RöntgenphysikGermany"],["dc.contributor.affiliation","Salditt, Tim; 1Universität GöttingenInstitut für RöntgenphysikGermany"],["dc.contributor.author","Lohse, Leon Merten"],["dc.contributor.author","Vaßholz, Malte"],["dc.contributor.author","Salditt, Tim"],["dc.creator.author","Leon M. Lohse"],["dc.creator.author","Malte Vassholz"],["dc.creator.author","Tim Salditt"],["dc.date.accessioned","2021-09-21T15:39:39Z"],["dc.date.available","2021-09-21T15:39:39Z"],["dc.date.issued","2021-09"],["dc.date.updated","2022-03-20T23:56:24Z"],["dc.description.abstract","Incoherent diffractive imaging (IDI) promises structural analysis with atomic resolution based on intensity interferometry of pulsed X‐ray fluorescence emission. However, its experimental realization is still pending and a comprehensive theory of contrast formation has not been established to date. Explicit expressions are derived for the equal‐pulse two‐point intensity correlations, as the principal measured quantity of IDI, with full control of the prefactors, based on a simple model of stochastic fluorescence emission. The model considers the photon detection statistics, the finite temporal coherence of the individual emissions, as well as the geometry of the scattering volume. The implications are interpreted in view of the most relevant quantities, including the fluorescence lifetime, the excitation pulse, as well as the extent of the scattering volume and pixel size. Importantly, the spatiotemporal overlap between any two emissions in the sample can be identified as a crucial factor limiting the contrast and its dependency on the sample size can be derived. The paper gives rigorous estimates for the optimum sample size, the maximum photon yield and the expected signal‐to‐noise ratio under optimal conditions. Based on these estimates, the feasibility of IDI experiments for plausible experimental parameters is discussed. It is shown in particular that the mean number of photons per detector pixel which can be achieved with X‐ray fluorescence is severely limited and as a consequence imposes restrictive constraints on possible applications."],["dc.description.abstract","Starting from a simple model of stochastic fluorescence emission, a theory is derived of contrast formation and signal‐to‐noise ratio for incoherent diffractive imaging; its feasibility for plausible experimental parameters is discussed. image"],["dc.identifier.doi","10.1107/S2053273321007300"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89704"],["dc.language.iso","en"],["dc.relation","SFB 1456 | Cluster C | C03: Intensity correlations in diffraction experiments: convolution, reconstruction and information"],["dc.relation","SFB 1456 | Cluster C: Data with Information in Their Dependency Structure"],["dc.relation","SFB 1456: Mathematik des Experiments: Die Herausforderung indirekter Messungen in den Naturwissenschaften"],["dc.relation","SFB 1456 | Cluster A | A03: Dimensionality reduction and regression in Wasserstein space for quantitative 3D histology"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.relation.workinggroup","RG Salditt (Structure of Biomolecular Assemblies and X-Ray Physics)"],["dc.rights","This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited."],["dc.subject.gro","x-ray imaging"],["dc.title","On incoherent diffractive imaging"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["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","13973"],["dc.bibliographiccitation.issue","13"],["dc.bibliographiccitation.journal","Optics Express"],["dc.bibliographiccitation.lastpage","13989"],["dc.bibliographiccitation.volume","25"],["dc.contributor.author","Hagemann, Johannes"],["dc.contributor.author","Salditt, Tim"],["dc.date.accessioned","2017-10-24T13:00:40Z"],["dc.date.accessioned","2021-10-11T11:35:06Z"],["dc.date.available","2017-10-24T13:00:40Z"],["dc.date.available","2021-10-11T11:35:06Z"],["dc.date.issued","2017"],["dc.description.abstract","We propose a reconstruction scheme for hard x-ray inline holography, a variant of propagation imaging, which is compatible with imaging conditions of partial (spatial) coherence. This is a relevant extension of current full-field phase contrast imaging, which requires full coherence. By the ability to reconstruct the coherent modes of the illumination (probe), as demonstrated here, the requirements of coherence filtering could be relaxed in many experimentally relevant settings. The proposed scheme is built on the mixed-state approach introduced in [Nature494, 68 (2013)], combined with multi-plane detection of extended wavefields [Opt. Commun.199, 65 (2001), Opt. Express22, 16571 (2014)]. Notably, the diversity necessary for the reconstruction is generated by acquiring measurements at different defocus positions of the detector. We show that we can recover the coherent mode structure and occupancy numbers of the partial coherent probe. Practically relevant quantities as the transversal coherence length can be computed from the reconstruction in a straightforward way."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2017"],["dc.identifier.doi","10.1364/OE.25.013973"],["dc.identifier.gro","3142470"],["dc.identifier.pmid","28788984"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14797"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/90727"],["dc.language","eng"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.notes.status","final"],["dc.relation.issn","1094-4087"],["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","X-ray imaging; Coherence; Phase retrieval"],["dc.subject.ddc","530"],["dc.subject.gro","x-ray optics"],["dc.subject.gro","x-ray imaging"],["dc.title","Reconstructing mode mixtures in the optical near-field"],["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.issue","1-2"],["dc.bibliographiccitation.volume","303"],["dc.contributor.author","Koelsch, P."],["dc.contributor.author","Viswanath, R."],["dc.contributor.author","Motschmann, H."],["dc.contributor.author","Shapovalov, V. L."],["dc.contributor.author","Brezesinski, G."],["dc.contributor.author","Moehwald, H."],["dc.contributor.author","Horinek, D."],["dc.contributor.author","Netz, R. R."],["dc.contributor.author","Giewekemeyer, K."],["dc.contributor.author","Salditt, T."],["dc.contributor.author","Schollmeyer, H."],["dc.contributor.author","Von Klitzing, R."],["dc.contributor.author","Daillant, J."],["dc.contributor.author","Guenoun, P."],["dc.date.accessioned","2017-09-07T11:49:26Z"],["dc.date.available","2017-09-07T11:49:26Z"],["dc.date.issued","2007"],["dc.description.abstract","Charged surfaces and ion-water interactions at an interface play a decisive role in many physico-chemical and biological processes. The classical treatment of ions at charged interfaces is the Poisson-Boltzmann (PB) theory. Despite severe simplifying assumptions it describes surprisingly well univalent ions not too close to the interface for low electrolyte concentrations in the mmol regime. However, it breaks down in the vicinity of the interface at higher surface charge densities. Consequently the list of decorations and modifications of the original PB equation is long aiming for a more realistic picture. One striking deficiency of the treatment on the pure electrostatic level is the prediction that ions of the same valence produce the same results, independent of their chemical nature. In contrast, experiments reveal pronounced differences between different ions. Specific ion effects can be found everywhere in chemistry and biology and there are many reports of pronounced differences in the properties of charged monolayers, micelles, vesicles, dispersions or polyelectrolyte multilayers using different identically charged counterions. The so-called \"counterion effect\" is usually discussed in terms of the Hofmeister series for cations or anions which are the result of a subtle balance of several competing evenly matched interactions. The complex interplay of electrostatics, dispersion forces, thermal motion, polarization, fluctuations, hydration, ion size effects and the impact of interfacial water structure makes it hard to identify a universal law. The diversity of specific ion effects is a direct consequence of this subtle interplay of forces and imposes a true challenge for the theories. The decisive information for an assessment of the theories is knowledge of the prevailing ion distribution. Hence a considerable amount of work has been applied to develop suitable model systems and to push surface characterization tools such as (resonant) X-ray reflectivity, total reflection X-ray fluorescence or X-ray standing waves to new limits. These techniques give direct information on the ions and on the interfacial architecture. A second alternative to complement these studies is infrared-visible sum frequency spectroscopy allowing to record surface vibrational spectra of the water as it is perturbed in the presence of the salts. The paper is organized in sections describing various facets of ion specific effects discussed within the network. (c) 2007 Elsevier B.V. All fights reserved."],["dc.identifier.doi","10.1016/j.colsurfa.2007.03.040"],["dc.identifier.gro","3143458"],["dc.identifier.isi","000247771200012"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/974"],["dc.notes.intern","WoS Import 2017-03-10"],["dc.notes.status","final"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Elsevier Science Bv"],["dc.publisher.place","Amsterdam"],["dc.relation.conference","French/ German Network on Complex Fluids - From 2D to 3D"],["dc.relation.eissn","1873-4359"],["dc.relation.eventlocation","Paris, FRANCE"],["dc.relation.ispartof","Colloids and Surfaces A: Physicochemical and Engineering Aspects"],["dc.relation.issn","0927-7757"],["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","x-ray scattering"],["dc.subject.gro","molecular biophysics"],["dc.title","Specific ion effects in physicochemical and biological systems: Simulations, theory and experiments"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["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"]]