X-Ray Micro- and Nano-Diffraction Imaging on Human Mesenchymal Stem Cells and Differentiated Cells

Bernhardt, Marten

dc.contributor.advisor	Salditt, Tim Prof. Dr.
dc.contributor.author	Bernhardt, Marten
dc.date.accessioned	2017-06-13T08:22:53Z
dc.date.available	2017-06-13T08:22:53Z
dc.date.issued	2017-06-13
dc.identifier.uri	http://hdl.handle.net/11858/00-1735-0000-0023-3E72-F
dc.identifier.uri	http://dx.doi.org/10.53846/goediss-6343
dc.language.iso	eng	de
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc	530	de
dc.title	X-Ray Micro- and Nano-Diffraction Imaging on Human Mesenchymal Stem Cells and Differentiated Cells	de
dc.type	doctoralThesis	de
dc.contributor.referee	Rehfeldt, Florian Dr.
dc.date.examination	2016-06-15
dc.subject.gok	Physik (PPN621336750)	de
dc.description.abstracteng	Recent advances in hard x-ray optics, instrumentation and detection have made it possible to probe biological samples by combining diffraction with raster scanning, using step sizes on the order of cellular organelle dimensions and below. The data obtained from such experiments encode the local electron density in a 2D-diffraction pattern for each scan position and provide information down to molecular scales. In this way, scanning transmission x-ray microscopy (with full diffraction data) complements very well the repertoire of high resolution imaging techniques. However, the challenge is to decode the wealth of structural information in each pattern of the scan array: This work presents results on different adherent eukaryotic cells with special focus on the methodology of sample handling and automated data analysis, in particular aiming at the filamentous actin network of single cells. The algorithms proposed are applied to cellular diffraction data of cells in different states - ranging from freeze-dried to the more challenging alive preparations - and analyze the signals in a model-free and robust manner. Provided with sufficient statistics, the analysis procedures and derived observables introduced here may be well-suited to characterize biological cells and tissues in future x-ray raster scanning experiments.	de
dc.contributor.coReferee	Janshoff, Andreas Prof. Dr.
dc.subject.eng	scanning SAXS	de
dc.subject.eng	actin	de
dc.subject.eng	biological cells	de
dc.subject.eng	principal component analysis	de
dc.subject.eng	hMSCs	de
dc.subject.eng	cardiac tissue cells	de
dc.subject.eng	automated data analysis	de
dc.subject.eng	structural observables	de
dc.subject.eng	comparative analysis	de
dc.subject.eng	micro-SAXS	de
dc.subject.eng	nano-SAXS	de
dc.identifier.urn	urn:nbn:de:gbv:7-11858/00-1735-0000-0023-3E72-F-4
dc.affiliation.institute	Fakultät für Physik	de
dc.identifier.ppn	890230544

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