Rehfeldt, Florian

[["dc.bibliographiccitation.firstpage","263"],["dc.bibliographiccitation.lastpage","282"],["dc.bibliographiccitation.seriesnr","134"],["dc.contributor.author","Eltzner, Benjamin"],["dc.contributor.author","Hauke, Lara"],["dc.contributor.author","Huckemann, Stephan"],["dc.contributor.author","Rehfeldt, Florian"],["dc.contributor.author","Wollnik, Carina"],["dc.contributor.editor","Salditt, Tim"],["dc.contributor.editor","Egner, Alexander"],["dc.contributor.editor","Luke, D. Russell"],["dc.date.accessioned","2021-04-21T11:15:39Z"],["dc.date.available","2021-04-21T11:15:39Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1007/978-3-030-34413-9_10"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/84280"],["dc.relation","SFB 755: Nanoscale Photonic Imaging"],["dc.relation.crisseries","Topics in Applied Physics"],["dc.relation.doi","10.1007/978-3-030-34413-9"],["dc.relation.eisbn","978-3-030-34413-9"],["dc.relation.isbn","978-3-030-34412-2"],["dc.relation.ispartof","Nanoscale Photonic Imaging"],["dc.relation.ispartofseries","Topics in Applied Physics; 134"],["dc.relation.orgunit","Institut für Röntgenphysik"],["dc.subject.gro","SFB 755"],["dc.title","A Statistical and Biophysical Toolbox to Elucidate Structure and Formation of Stress Fibers"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Molecular Biology of the Cell"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Wollnik, Carina"],["dc.contributor.author","Kudryasheva, Galina"],["dc.contributor.author","Radwitz, J."],["dc.contributor.author","Rehfeldt, Florian"],["dc.date.accessioned","2018-11-07T09:31:01Z"],["dc.date.available","2018-11-07T09:31:01Z"],["dc.date.issued","2013"],["dc.identifier.isi","000209348700271"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/31445"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Soc Cell Biology"],["dc.publisher.place","Bethesda"],["dc.relation.issn","1939-4586"],["dc.relation.issn","1059-1524"],["dc.title","Cytoskeletal Structures in Stem Cells as Mechano-Sensors"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","47"],["dc.bibliographiccitation.journal","BMC Biology"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Paluch, Ewa K."],["dc.contributor.author","Nelson, Celeste M."],["dc.contributor.author","Biais, Nicolas"],["dc.contributor.author","Fabry, Ben"],["dc.contributor.author","Moeller, Jens"],["dc.contributor.author","Pruitt, Beth L."],["dc.contributor.author","Wollnik, Carina"],["dc.contributor.author","Kudryasheva, Galina"],["dc.contributor.author","Rehfeldt, Florian"],["dc.contributor.author","Federle, Walter"],["dc.date.accessioned","2018-11-07T09:54:43Z"],["dc.date.available","2018-11-07T09:54:43Z"],["dc.date.issued","2015"],["dc.description.abstract","Mechanotransduction - how cells sense physical forces and translate them into biochemical and biological responses - is a vibrant and rapidly-progressing field, and is important for a broad range of biological phenomena. This forum explores the role of mechanotransduction in a variety of cellular activities and highlights intriguing questions that deserve further attention."],["dc.identifier.doi","10.1186/s12915-015-0150-4"],["dc.identifier.isi","000357371400001"],["dc.identifier.pmid","26141078"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/36599"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","1741-7007"],["dc.title","Mechanotransduction: use the force(s)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2113"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Bernoulli"],["dc.bibliographiccitation.lastpage","2142"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Huckemann, Stephan"],["dc.contributor.author","Kim, Kwang-Rae"],["dc.contributor.author","Munk, Axel"],["dc.contributor.author","Rehfeldt, Florian"],["dc.contributor.author","Sommerfeld, Max"],["dc.contributor.author","Weickert, Joachim"],["dc.contributor.author","Wollnik, Carina"],["dc.date.accessioned","2020-12-10T18:43:58Z"],["dc.date.available","2020-12-10T18:43:58Z"],["dc.date.issued","2016"],["dc.description.abstract","We generalize the SiZer of Chaudhuri and Marron (J. Amer. Statist. Assoc. 94 (1999) 807-823; Ann. Statist. 28 (2000) 408-428) for the detection of shape parameters of densities on the real line to the case of circular data. It turns out that only the wrapped Gaussian kernel gives a symmetric, strongly Lipschitz semi-group satisfying \"circular\" causality, that is, not introducing possibly artificial modes with increasing levels of smoothing. Some notable differences between Euclidean and circular scale space theory are highlighted. Based on this, we provide an asymptotic theory to make inference about the persistence of shape features. The resulting circular mode persistence diagram is applied to the analysis of early mechanically-induced differentiation in adult human stem cells from their actin-myosin filament structure. As a consequence, the circular SiZer based on the wrapped Gaussian kernel (WiZer) allows the verification at a controlled error level of the observation reported by Zemel et al. (Nat. Phys. 6 (2010) 468-473): Within early stem cell differentiation, polarizations of stem cells exhibit preferred directions in three different micro-environments."],["dc.identifier.doi","10.3150/15-BEJ722"],["dc.identifier.gro","3141600"],["dc.identifier.isi","000376814400007"],["dc.identifier.issn","1350-7265"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78282"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","DOI-Import GROB-394"],["dc.notes.status","final"],["dc.notes.submitter","PUB_WoS_Import"],["dc.relation","RTG 2088: Research Training Group 2088 Discovering structure in complex data: Statistics meets Optimization and Inverse Problems"],["dc.relation.eissn","1573-9759"],["dc.relation.issn","1350-7265"],["dc.title","The circular SiZer, inferred persistence of shape parameters and application to early stem cell differentiation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","25"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Image Analysis & Stereology"],["dc.bibliographiccitation.volume","36"],["dc.contributor.author","Benes, Viktor"],["dc.contributor.author","Vecera, Jakub"],["dc.contributor.author","Eltzner, Benjamin"],["dc.contributor.author","Wollnik, Carina"],["dc.contributor.author","Rehfeldt, Florian"],["dc.contributor.author","Kralova, Veronika"],["dc.contributor.author","Huckemann, Stephan"],["dc.date.accessioned","2017-09-07T11:50:29Z"],["dc.date.available","2017-09-07T11:50:29Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.5566/ias.1627"],["dc.identifier.gro","3147619"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14778"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5090"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","chake"],["dc.publisher","Slovenian Society for Stereology and Quantitative Image Analysis"],["dc.relation.issn","1854-5165"],["dc.rights","CC BY-NC 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc/4.0/"],["dc.title","ESTIMATION OF PARAMETERS IN A PLANAR SEGMENT PROCESS WITH A BIOLOGICAL APPLICATION"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0126346"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","PLOS ONE"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Eltzner, Benjamin"],["dc.contributor.author","Wollnik, Carina"],["dc.contributor.author","Gottschlich, Carsten"],["dc.contributor.author","Huckemann, Stephan"],["dc.contributor.author","Rehfeldt, Florian"],["dc.date.accessioned","2017-09-07T11:48:37Z"],["dc.date.available","2017-09-07T11:48:37Z"],["dc.date.issued","2015"],["dc.description.abstract","A reliable extraction of filament data from microscopic images is of high interest in the analysis of acto-myosin structures as early morphological markers in mechanically guided differentiation of human mesenchymal stem cells and the understanding of the underlying fiber arrangement processes. In this paper, we propose the filament sensor (FS), a fast and robust processing sequence which detects and records location, orientation, length, and width for each single filament of an image, and thus allows for the above described analysis. The extraction of these features has previously not been possible with existing methods. We evaluate the performance of the proposed FS in terms of accuracy and speed in comparison to three existing methods with respect to their limited output. Further, we provide a benchmark dataset of real cell images along with filaments manually marked by a human expert as well as simulated benchmark images. The FS clearly outperforms existing methods in terms of computational runtime and filament extraction accuracy. The implementation of the FS and the benchmark database are available as open source."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2015"],["dc.identifier.doi","10.1371/journal.pone.0126346"],["dc.identifier.gro","3146928"],["dc.identifier.pmid","25996921"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11812"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/4710"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1932-6203"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","The Filament Sensor for Near Real-Time Detection of Cytoskeletal Fiber Structures"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","031029"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Physical Review X"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Kaliman, Sara"],["dc.contributor.author","Hubert, Maxime"],["dc.contributor.author","Wollnik, Carina"],["dc.contributor.author","Nuić, Lovro"],["dc.contributor.author","Vurnek, Damir"],["dc.contributor.author","Gehrer, Simone"],["dc.contributor.author","Lovrić, Jakov"],["dc.contributor.author","Dudziak, Diana"],["dc.contributor.author","Rehfeldt, Florian"],["dc.contributor.author","Smith, Ana-Sunčana"],["dc.date.accessioned","2021-09-01T06:42:05Z"],["dc.date.available","2021-09-01T06:42:05Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1103/PhysRevX.11.031029"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/88976"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-455"],["dc.relation.eissn","2160-3308"],["dc.title","Mechanical Regulation of Epithelial Tissue Homeostasis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","846"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Molecular Biology of the Cell"],["dc.bibliographiccitation.lastpage","851"],["dc.bibliographiccitation.volume","29"],["dc.contributor.author","Chizhik, Anna M."],["dc.contributor.author","Wollnik, Carina"],["dc.contributor.author","Ruhlandt, Daja"],["dc.contributor.author","Karedla, Narain"],["dc.contributor.author","Chizhik, Alexey I."],["dc.contributor.author","Hauke, Lara"],["dc.contributor.author","Hähnel, Dirk"],["dc.contributor.author","Gregor, Ingo"],["dc.contributor.author","Enderlein, Jörg"],["dc.contributor.author","Rehfeldt, Florian"],["dc.contributor.editor","Bassereau, Patricía"],["dc.date.accessioned","2020-12-10T18:16:05Z"],["dc.date.available","2020-12-10T18:16:05Z"],["dc.date.issued","2018"],["dc.description.abstract","We report a novel method, dual-color axial nanometric localization by metal--induced energy transfer, and combine it with Förster resonance energy transfer (FRET) for resolving structural details in cells on the molecular level. We demonstrate the capability of this method on cytoskeletal elements and adhesions in human mesenchymal stem cells. Our approach is based on fluorescence-lifetime-imaging microscopy and allows for precise determination of the three-dimensional architecture of stress fibers anchoring at focal adhesions, thus yielding crucial information to understand cell-matrix mechanics. In addition to resolving nanometric structural details along the z-axis, we use FRET to gain precise information on the distance between actin and vinculin at focal adhesions."],["dc.identifier.doi","10.1091/mbc.E17-05-0314"],["dc.identifier.eissn","1939-4586"],["dc.identifier.issn","1059-1524"],["dc.identifier.pmid","29444956"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/75048"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.eissn","1939-4586"],["dc.relation.issn","1059-1524"],["dc.relation.issn","1939-4586"],["dc.title","Dual-color metal-induced and Förster resonance energy transfer for cell nanoscopy"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]