@phdthesis{Wawrowsky2007, author = {Wawrowsky, Kolja Alexander}, title = {Analysis and Visualization in Multidimensional Microscopy}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-23867}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2007}, abstract = {The live sciences currently undergo a paradigm shift to computer aided discoveries. Discoveries in the live sciences were historically made by either direct observation or as a result of chemical assays. Today we see a growing shift toward computer aided analysis and visualization. This gradual process happens in microscopy. Multidimensional laser scanning microscopy can acquire very complex multichannel data from fixed or live specimen. New probes such as visible fluorescent proteins let us observe the expression of genes and track protein localization. Ion sensitive dyes change intensity with the concentration of ions in the cell. The laser scanning confocal allows us to record these processes in three dimensions over time. This work demonstrates the application of software analysis to multidimensional microscopy data. We introduce methods for volume investigation, ion flux analysis and molecular modeling. The visualization methods are based on a multidimensional data model to accommodate complex datasets. The software uses vector processing and multiple processors to accelerate volume rendering and achieve interactive rendering. The algorithms are based on human visual perception and allow the observer a wide range of mixed render modes. The software was used to reconstruct the pituitary development in zebrafish and observe the degeneration of neurons after injury in a mouse model. Calicum indicator dyes have long been used to study calcium fluxes. We optimized the imaging method to minimize impact on the cell. Live cells were imaged continuously for 45 minutes and subjected to increasing does of a drug. We correlated the amplitude of calcium oscillations to increasing doses of a drug and obtain single cell dose response curves. Because this method is very sensitive and measures single cell responses it has potential in drug discovery and characterization. Microtubules form a dynamic cytoskeleton, which is responsible for cell shape, intracellular transport and has an integral role in mitosis. A hallmark of microtubule organization is lateral interactions. Microtubules are bundles by proteins into dense structures. To estimate the contribution of this bundling process, we created a fractal model of microtubule organization. This model demonstrates that morphology of complex microtubule arrays can be explained by bundling alone. In summary we showed that advances in software for visualization, data analysis and modeling lead to new discoveries.}, subject = {Konfokale Mikroskopie}, language = {en} } @phdthesis{Proppert2014, author = {Proppert, Sven Martin}, title = {Design, implementation and characterization of a microscope capable of three-dimensional two color super-resolution fluorescence imaging}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-107905}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2014}, abstract = {This thesis reviews the fundamentals of three-dimensional super-resolution localization imaging. In order to infer the axial coordinate of the emission of single fluorophores, the point spread function is engineered following a technique usually referred to as astigmatic imaging by the introduction of a cylindrical lens to the detection path of a microscope. After giving a short introduction to optics and localization microscopy, I outline sources of aberrations as frequently encountered in 3D-localization microscopy and will discuss their respective impact on the precision and accuracy of the localization process. With the knowledge from these considerations, experiments were designed and conducted to verify the validity of the conclusions and to demonstrate the abilities of the proposed microscope to resolve biological structures in the three spatial dimensions. Additionally, it is demonstrated that measurements of huge volumes with virtually no aberrations is in principle feasible. During the course of this thesis, a new method was introduced for inferring axial coordinates. This interpolation method based on cubic B-splines shows superior performance in the calibration of a microscope and the evaluation of subsequent measurement and will therefore be used and explained in this work. Finally, this work is also meant to give future students some guidance for entering the field of 3D localization microscopy and therefore, detailed protocols are provided covering the specific aspects of two color 3D localization imaging.}, subject = {Dimension 3}, language = {en} } @phdthesis{Goetz2020, author = {G{\"o}tz, Ralph}, title = {Super-resolution microscopy of plasma membrane receptors and intracellular pathogens}, doi = {10.25972/OPUS-20716}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-207165}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2020}, abstract = {Humans tend to believe in what they can see with their own eyes. Hence, visualization methods like microscopy have always been extremely popular since their invention in the 17th century. With the advent of super-resolution microscopy, the diffraction limit of ~200 - 250 nm could be overcome to enable more detailed insights into biological samples. Especially the single molecule localization microscopy method dSTORM offers the possibility of quantitative bioimaging. Hereby, the repetitive photoswitching of organic dyes in the presence of thiols is exploited to enable a lateral resolution of 20 nm. Another, recently introduced super-resolution method is expansion microscopy (ExM) which physically expands the sample to increase the resolution by the expansion factor from four to even twenty. To enable this, the sample is embedded into a hydrogel, homogenized using an unspecific proteinase and expanded in distilled water. Within this thesis, both methods were used to shed light on plasma membrane receptor distributions and different bacterial and fungal pathogens. In the first part of this thesis dSTORM was used to elucidate the "Receptome", the entirety of all membrane receptors, of the cell line Jurkat T-cells and primary T-cells. Within this project we could successfully visualize and quantify the distribution of the plasma membrane receptors CD2, CD3, CD4, CD5, CD7, CD11a, CD20, CD28, CD45, CD69 and CD105 with receptor densities ranging from 0.8 cluster/µm² in case of CD20 and 81.4 cluster/µm² for the highly abundant CD45 in activated primary T-cells at the basal membrane. Hereby, we could also demonstrate a homogeneous distribution of most receptors, while only few were clustered. In the case of CD3-clusters were detected in Jurkat T-cells and in primary activated T-cells, but not in na{\"i}ve ones, demonstrating the activation of this receptor. This was followed by the application of dSTORM to three different clinical projects involving the receptors CD38, BCMA and CD20 which are immunotherapeutic targets by monoclonal antibodies and CAR T-cells. In the first two projects dSTORM was applied to determine the receptor upregulation upon exposure of various drugs to MM1.S cells or primary multiple myeloma patient cells. This increase in membrane receptor expression can subsequently enhance the efficacy of therapies directed against these receptors. Within the CD20-project, the superior sensitivity of dSTORM compared to flow cytometry could be demonstrated. Hereby, a substantially higher fraction of CD20-positive patient cells was detected by dSTORM than by flow cytometry. In addition, we could show that by dSTORM CD20-positive evaluated cells were eradicated by immunotherapeutic CAR T-cell treatment. These studies were followed by whole cell super-resolution imaging using both LLS-3D dSTORM and 10x ExM to exclude any artifacts caused by interactions with the glass surface. In 10x ExM signal amplification via biotinylated primary antibodies and streptavidin ATTO 643 was essential to detect even single antibodies directed against the heterodimer CD11a with standard confocal microscopes. Albeit probably not quantitative due to the process of gelation, digestion and expansion during the ExM protocol, even some putative dimers of the receptor CD2 could be visualized using 10x ExM-SIM, similar to dSTORM experiments. Within the second part of this thesis, expansion microscopy was established in bacterial and fungal pathogens. ExM enabled not only an isotropic fourfold expansion of Chlamydia trachomatis, but also allowed the discrimination between the two developmental forms by the chlamydial size after expansion into reticulate and elementary bodies. Hereafter, a new α-NH2-ω-N3-C6-ceramide was introduced enabling an efficient fixation and for the first time the use of lipids in both, 4x and 10x ExM, termed sphingolipid ExM. This compound was used to investigate the ceramide uptake and incorporation into the cell membrane of Chlamydia trachomatis and Simkania negevensis. For Chlamydia trachomatis the combined resolution power of 10x ExM and SIM even allowed the visualization of both bacterial membranes within a distance of ~30 nm. Finally, ExM was applied to the three different fungi Ustilago maydis, Fusarium oxysporum and Aspergillus fumigatus after enzymatic removal of the fungal cell wall. In case of Ustilago maydis sporidia this digestion could be applied to both, living cells resulting in protoplasts and to fixed cells, preserving the fungal morphology. This new protocol could be demonstrated for immunostainings and fluorescent proteins of the three different fungi.}, subject = {Mikroskopie}, language = {en} } @phdthesis{Reinhard2023, author = {Reinhard, Sebastian}, title = {Improving Super-Resolution Microscopy Data Reconstruction and Evaluation by Developing Advanced Processing Algorithms and Artifcial Neuronal Networks}, doi = {10.25972/OPUS-31695}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-316959}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2023}, abstract = {The fusion of methods from several disciplines is a crucial component of scientific development. Artificial Neural Networks, based on the principle of biological neuronal networks, demonstrate how nature provides the best templates for technological advancement. These innovations can then be employed to solve the remaining mysteries of biology, including, in particular, processes that take place on microscopic scales and can only be studied with sophisticated techniques. For instance, direct Stochastic Optical Reconstruction Microscopy combines tools from chemistry, physics, and computer science to visualize biological processes at the molecular level. One of the key components is the computer-aided reconstruction of super-resolved images. Improving the corresponding algorithms increases the quality of the generated data, providing further insights into our biology. It is important, however, to ensure that the heavily processed images are still a reflection of reality and do not originate in random artefacts. Expansion microscopy is expanding the sample by embedding it in a swellable hydrogel. The method can be combined with other super-resolution techniques to gain additional resolution. We tested this approach on microtubules, a well-known filamentous reference structure, to evaluate the performance of different protocols and labelling techniques. We developed LineProfiler an objective tool for data collection. Instead of collecting perpendicular profiles in small areas, the software gathers line profiles from filamentous structures of the entire image. This improves data quantity, quality and prevents a biased choice of the evaluated regions. On the basis of the collected data, we deployed theoretical models of the expected intensity distribution across the filaments. This led to the conclusion that post-expansion labelling significantly reduces the labelling error and thus, improves the data quality. The software was further used to determine the expansion factor and arrangement of synaptonemal complex data. Automated Simple Elastix uses state-of-the-art image alignment to compare pre- and post-expansion images. It corrects linear distortions occurring under isotropic expansion, calculates a structural expansion factor and highlights structural mismatches in a distortion map. We used the software to evaluate expanded fungi and NK cells. We found that the expansion factor differs for the two structures and is lower than the overall expansion of the hydrogel. Assessing the fluorescence lifetime of emitters used for direct Stochastic Optical Reconstruction Microscopy can reveal additional information about the molecular environment or distinguish dyes emitting with a similar wavelength. The corresponding measurements require a confocal scanning of the sample in combination with the fluorescent switching of the underlying emitters. This leads to non-linear, interrupted Point Spread Functions. The software ReCSAI targets this problem by combining the classical algorithm of compressed sensing with modern methods of artificial intelligence. We evaluated several different approaches to combine these components and found, that unrolling compressed sensing into the network architecture yields the best performance in terms of reconstruction speed and accuracy. In addition to a deep insight into the functioning and learning of artificial intelligence in combination with classical algorithms, we were able to reconstruct the described non-linearities with significantly improved resolution, in comparison to other state-of-the-art architectures.}, subject = {Mikroskopie}, language = {en} } @phdthesis{Meiser2023, author = {Meiser, Elisabeth}, title = {Single-molecule dynamics at a bottleneck: a systematic study of the narrow escape problem in a disc}, doi = {10.25972/OPUS-31965}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-319650}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2023}, abstract = {Diffusion facilitates numerous reactions within the biological context of a cell. It is remarkable how the cost-efficient random process of Brownian motion promotes fast reactions. From the narrow escape theory, it is possible to determine the mean first passage time of such processes based on their reaction space and diffusion coefficient. The narrow escape theory of Brownian particles is characterized by a confining domain with reflective boundaries and a small reaction site. In this thesis, the mean first passage time was systematically tested in a disc as a function of the escape opening size in vitro and in silico. For the in vitro experiments, a model system of patterned supported-lipid bilayers (SLB) was established. Such a model is prepared by a combined colloid metalization approach, where a gold scaffold on glass facilitates assembly of SLB patches of distinct sizes through vesicle fusion. The model setup was evaluated and found to match all necessary requirements to test the nar- row escape problem in vitro. In particular, the reflectivity of the boundaries, the unhindered, free diffusion of the tracer lipids, and the distinct area were assessed. Observed results of the mean first passage time agreed with the theory of the narrow escape problem. There was excellent agreement in both absolute values and across a range of small escape opening sizes. Additionally, I developed a straightforward method, a correction factor, to calculate the mean first passage time from incomplete experimental traces. By re-scaling the mean first passage time to the fraction of particles that escaped, I was able to overcome the lifetime limitations of fluorescent probes. Previously inaccessible measurements of the mean first passage time relying on fluorescent probes will be made possible through this approach. The in vitro experiments were complemented with various in silico experiments. The latter were based on random walk simulations in discs, mimicking the in vitro situation with its uncertainties. The lifetime of single particles was either set sufficiently long to allow all particles to escape, or was adjusted to meet the lifetime limitations observed in the in vitro experiments. A comparison of the mean first passage time from lifetime-unlimited particles to the corrected, lifetime-limited particles did support the use of the correction factor. In agreement with the narrow escape theory, it was experimentally found that the mean first passage time is independent of the start point of the particle within the domain. This is when the particle adheres to a minimum distance to the escape site. In general, the presented random walk simulations do accurately represent the in vitro experiments in this study. The required hardware for the establishment of an astigmatism-based 3D system was installed in the existing microscope. The first attempts to analyze the obtained 3D imaging data gave insight into the potential of the method to investigate molecule dynamics in living trypanosome cells. The full functionality will be realized with the ongoing improvement of image analysis outside of this thesis.}, subject = {Freies Molek{\"u}l}, language = {en} }