Dullin, Christian

[["dc.bibliographiccitation.firstpage","918"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Cells"],["dc.bibliographiccitation.volume","11"],["dc.contributor.affiliation","Svetlove, Angelika; 1Translational Molecular Imaging, Max-Planck Institute for Multidisciplinary Sciences, City Campus, 37075 Göttingen, Germany; anzhelika.svetlova@mpinat.mpg.de (A.S.); markus@mpinat.mpg.de (M.A.M.); falves@gwdg.de (F.A.)"],["dc.contributor.affiliation","Albers, Jonas; 2X-ray Based Preclinical Imaging Technologies, Institute for Diagnostic and Interventional Radiology, University Medical Center, 37075 Göttingen, Germany; jonas.albers@embl-hamburg.de"],["dc.contributor.affiliation","Hülsmann, Swen; 3Central Breathing Control, Clinic for Anesthesiology, University Medical Center, 37075 Göttingen, Germany; shuelsm2@uni-goettingen.de"],["dc.contributor.affiliation","Markus, Marietta Andrea; 1Translational Molecular Imaging, Max-Planck Institute for Multidisciplinary Sciences, City Campus, 37075 Göttingen, Germany; anzhelika.svetlova@mpinat.mpg.de (A.S.); markus@mpinat.mpg.de (M.A.M.); falves@gwdg.de (F.A.)"],["dc.contributor.affiliation","Zschüntzsch, Jana; 4Neuromuscular Disease Research, Clinic for Neurology, University Medical Center, 37075 Göttingen, Germany; j.zschuentzsch@med.uni-goettingen.de"],["dc.contributor.affiliation","Alves, Frauke; 1Translational Molecular Imaging, Max-Planck Institute for Multidisciplinary Sciences, City Campus, 37075 Göttingen, Germany; anzhelika.svetlova@mpinat.mpg.de (A.S.); markus@mpinat.mpg.de (M.A.M.); falves@gwdg.de (F.A.)"],["dc.contributor.affiliation","Dullin, Christian; 2X-ray Based Preclinical Imaging Technologies, Institute for Diagnostic and Interventional Radiology, University Medical Center, 37075 Göttingen, Germany; jonas.albers@embl-hamburg.de"],["dc.contributor.author","Svetlove, Angelika"],["dc.contributor.author","Albers, Jonas"],["dc.contributor.author","Hülsmann, Swen"],["dc.contributor.author","Markus, Marietta Andrea"],["dc.contributor.author","Zschüntzsch, Jana"],["dc.contributor.author","Alves, Frauke"],["dc.contributor.author","Dullin, Christian"],["dc.date.accessioned","2022-04-01T10:00:28Z"],["dc.date.available","2022-04-01T10:00:28Z"],["dc.date.issued","2022"],["dc.date.updated","2022-04-08T11:23:03Z"],["dc.description.abstract","Duchenne muscular dystrophy (DMD) is the most common x-chromosomal inherited dystrophinopathy which leads to progressive muscle weakness and a premature death due to cardiorespiratory dysfunction. The mdx mouse lacks functional dystrophin protein and has a comparatively human-like diaphragm phenotype. To date, diaphragm function can only be inadequately mapped in preclinical studies and a simple reliable translatable method of tracking the severity of the disease still lacks. We aimed to establish a sensitive, reliable, harmless and easy way to assess the effects of respiratory muscle weakness and subsequent irregularity in breathing pattern. Optical respiratory dynamics tracking (ORDT) was developed utilising a camera to track the movement of paper markers placed on the thoracic-abdominal region of the mouse. ORDT successfully distinguished diseased mdx phenotype from healthy controls by measuring significantly higher expiration constants (k) in mdx mice compared to wildtype (wt), which were also observed in the established X-ray based lung function (XLF). In contrast to XLF, with ORDT we were able to distinguish distinct fast and slow expiratory phases. In mdx mice, a larger part of the expiratory marker displacement was achieved in this initial fast phase as compared to wt mice. This phenomenon could not be observed in the XLF measurements. We further validated the simplicity and reliability of our approach by demonstrating that it can be performed using free-hand smartphone acquisition. We conclude that ORDT has a great preclinical potential to monitor DMD and other neuromuscular diseases based on changes in the breathing patterns with the future possibility to track therapy response."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.doi","10.3390/cells11050918"],["dc.identifier.pii","cells11050918"],["dc.identifier.pmid","35269540"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/105437"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/535"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-530"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation.eissn","2073-4409"],["dc.relation.workinggroup","RG Alves (Translationale Molekulare Bildgebung)"],["dc.rights","CC BY 4.0"],["dc.title","Non-Invasive Optical Motion Tracking Allows Monitoring of Respiratory Dynamics in Dystrophin-Deficient Mice"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","10846"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Albers, Jonas"],["dc.contributor.author","Svetlove, Angelika"],["dc.contributor.author","Alves, Justus"],["dc.contributor.author","Kraupner, Alexander"],["dc.contributor.author","di Lillo, Francesca"],["dc.contributor.author","Markus, M. Andrea"],["dc.contributor.author","Tromba, Giuliana"],["dc.contributor.author","Alves, Frauke"],["dc.contributor.author","Dullin, Christian"],["dc.date.accessioned","2021-06-01T10:50:43Z"],["dc.date.available","2021-06-01T10:50:43Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract Although X-ray based 3D virtual histology is an emerging tool for the analysis of biological tissue, it falls short in terms of specificity when compared to conventional histology. Thus, the aim was to establish a novel approach that combines 3D information provided by microCT with high specificity that only (immuno-)histochemistry can offer. For this purpose, we developed a software frontend, which utilises an elastic transformation technique to accurately co-register various histological and immunohistochemical stainings with free propagation phase contrast synchrotron radiation microCT. We demonstrate that the precision of the overlay of both imaging modalities is significantly improved by performing our elastic registration workflow, as evidenced by calculation of the displacement index. To illustrate the need for an elastic co-registration approach we examined specimens from a mouse model of breast cancer with injected metal-based nanoparticles. Using the elastic transformation pipeline, we were able to co-localise the nanoparticles to specifically stained cells or tissue structures into their three-dimensional anatomical context. Additionally, we performed a semi-automated tissue structure and cell classification. This workflow provides new insights on histopathological analysis by combining CT specific three-dimensional information with cell/tissue specific information provided by classical histology."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.1038/s41598-021-89841-w"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/86761"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","2045-2322"],["dc.rights","CC BY 4.0"],["dc.title","Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Khan, Amara"],["dc.contributor.author","Markus, Andrea"],["dc.contributor.author","Rittmann, Thomas"],["dc.contributor.author","Albers, Jonas"],["dc.contributor.author","Alves, Frauke"],["dc.contributor.author","Hülsmann, Swen"],["dc.contributor.author","Dullin, Christian"],["dc.date.accessioned","2021-04-14T08:28:35Z"],["dc.date.available","2021-04-14T08:28:35Z"],["dc.date.issued","2021"],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.1038/s41598-021-83319-5"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82657"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","2045-2322"],["dc.rights","CC BY 4.0"],["dc.title","Simple low dose radiography allows precise lung volume assessment in mice"],["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","7712"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Albers, Jonas"],["dc.contributor.author","Markus, M. Andrea"],["dc.contributor.author","Alves, Frauke"],["dc.contributor.author","Dullin, Christian"],["dc.date.accessioned","2019-07-09T11:45:38Z"],["dc.date.available","2019-07-09T11:45:38Z"],["dc.date.issued","2018"],["dc.description.abstract","Examination of histological or immunohistochemically stained 2D sections of embedded tissue is one of the most frequently used tools in biomedical research and clinical routine. Since to date, targeted sectioning of specific regions of interest (ROI) in the sample is not possible, we aimed at developing a guided sectioning approach based on x-ray 3D virtual histology for heavy ion stained murine lung samples. For this purpose, we increased the contrast to noise ratio of a standard benchtop microCT by 5-10-fold using free-propagation phase contrast imaging and thus substantially improved image quality. We then show that microCT 3D datasets deliver more precise anatomical information and quantification of the sample than traditional histological sections, which display deformations of the tissue. To quantify these deformations caused by sectioning we developed the \"Displacement Index (DI)\", which combines block-matching with the calculation of the local mutual information. We show that the DI substantially decreases when a femtosecond laser microtome is used for sections as opposed to a traditional microtome. In conclusion, our microCT based virtual histology approach can be used as a supplement and a guidance tool for traditional histology, providing 3D measurement capabilities and offering the ability to perform sectioning directly at an ROI."],["dc.identifier.doi","10.1038/s41598-018-26086-0"],["dc.identifier.pmid","29769600"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15268"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59272"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","2045-2322"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","X-ray based virtual histology allows guided sectioning of heavy ion stained murine lungs for histological analysis."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]