Software tools and efficient algorithms for the feature detection, feature tracking, event localization, and visualization of large sets of atmospheric data

Data sets describing the state of the earth's atmosphere are of great importance in the atmospheric sciences. Over the last decades, the quality and sheer amount of the available data increased significantly, resulting in a rising demand for new tools capable of handling and analysing these large, multidimensional sets of atmospheric data. The interdisciplinary work presented in this thesis covers the development and the application of practical software tools and efficient algorithms from the field of computer science, aiming at the goal of enabling atmospheric scientists to analyse and to gain new insights from these large data sets. For this purpose, our tools combine novel techniques with well-established methods from different areas such as scientific visualization and data segmentation. In this thesis, three practical tools are presented. Two of these tools are software systems (Insight and IWAL) for different types of processing and interactive visualization of data, the third tool is an efficient algorithm for data segmentation implemented as part of Insight.Insight is a toolkit for the interactive, three-dimensional visualization and processing of large sets of atmospheric data, originally developed as a testing environment for the novel segmentation algorithm. It provides a dynamic system for combining at runtime data from different sources, a variety of different data processing algorithms, and several visualization techniques. Its modular architecture and flexible scripting support led to additional applications of the software, from which two examples are presented: the usage of Insight as a WMS (web map service) server, and the automatic production of a sequence of images for the visualization of cyclone simulations. The core application of Insight is the provision of the novel segmentation algorithm for the efficient detection and tracking of 3D features in large sets of atmospheric data, as well as for the precise localization of the occurring genesis, lysis, merging and splitting events. Data segmentation usually leads to a significant reduction of the size of the considered data. This enables a practical visualization of the data, statistical analyses of the features and their events, and the manual or automatic detection of interesting situations for subsequent detailed investigation. The concepts of the novel algorithm, its technical realization, and several extensions for avoiding under- and over-segmentation are discussed. As example applications, this thesis covers the setup and the results of the segmentation of upper-tropospheric jet streams and cyclones as full 3D objects. Finally, IWAL is presented, which is a web application for providing an easy interactive access to meteorological data visualizations, primarily aimed at students. As a web application, the needs to retrieve all input data sets and to install and handle complex visualization tools on a local machine are avoided. The main challenge in the provision of customizable visualizations to large numbers of simultaneous users was to find an acceptable trade-off between the available visualization options and the performance of the application. Besides the implementational details, benchmarks and the results of a user survey are presented.

Synthetical engineering of supramolecular properties of large polycyclic aromatic hydrocarbons

An important property for devices is the charge-carrier mobility values for discotic organic materials like hexa-peri-hexabenzocoronenes. A close relation exists between the degree of their columnar self-arrangement of the molecules and their mobilities. Within this first step an induction of a higher order via hydrogen-bonding was considered, which mainly pointed towards the improvement of the intracolumnar stacking of the materials. For the analytics a broad range of methods was used including differential scanning calorimetry (DSC), wide-angle X-ray diffractometry (WAXS), solid-state NMR spectroscopy and scanning tunneling microscopy (STM). Indeed, a specific influence of the hydrogen-bonds could be identified, although in several cases by the cost of a severe reduction of solubility and processability. This effect was dampened by the addition of a long alkyl chain next to the hydrogen-bond exerting functional group, which resulted in an improved columnar arrangement by retention of processability. In contrast to the before mentioned example of inducing a higher intracolumnar order by hydrogen-bonding, the focus was also be set upon larger aromatic systems. The charge-carrier mobility is also in close relation to the size of the aromatic core and larger π-areas are expected to lead to improved mobilities. For photovoltaic applications a high extinction coefficient over a broad range of the spectrum is favorable, which can also be achieved by enlarging the aromatic core component. In addition the stronger π-interactions between the aromatic core components should yield an improved columnar stability and order. However the strengthening of the π-interactions between the aromatic core components led to a reduction of the solubility and the processability due to the stronger aggregation of the molecules. This required the introduction of efficiently solubilizing features in terms of long alkyl chains in the corona of the aromatic entity, in combination of a distortion of the aromatic core moiety by bulky tert-butyl groups. By this approach not only the processing and cleaning of the materials with standard laboratory techniques became possible, but moreover the first structure-rich UV/vis and a resolved 1H-NMR spectra for an aromatic system two times larger than hexa-peri-hexabenzocoronene were recorded. The bulk properties in an extruded fiber as well as on the surface showed a columnar self-assembly including a phase in which a homeotropic alignment on a substrate was observed, which turns the material into an interesting candidate for future applications in electronic devices.

Untersuchungen zur Beteiligung der Preseniline an den molekularen Mechanismen der Amyloid-ß Entstehung

ZusammenfassungMorbus Alzheimer ist eine progressive, neurodegenerative Erkrankung, die weltweit die häufigste Form der Demenz darstellt und im mittleren bis späten Lebensabschnitt auftritt. Die neuropathologischen Merkmale beinhalten das Auftreten von extrazellulären Ablagerungen aus fibrillogenem Aß42 Peptiden in senilen Plaques und intraneuronalen Akkumulationen von hyperphosphoryliertem Tau in sogenannten neurofibrillären Bündeln. Obwohl die meisten Alzheimer Fälle sporadisch und Alters-assoziiert auftreten, gibt es eine autosomal dominant vererbte Form (FAD; Familial Alzheimer Disease), die schon in einem frühen Lebensabschnitt (ab 28 Jahren) ausbrechen kann. Diese aggressive Alzheimer Form wird durch Mutationen im Amyloid-Precursor-Protein-Gen (APP) oder den Presenilin-Genen (PS-1 und PS-2) ausgelöst. Die Presenilin (PS) Proteine sind entscheidend an der Entstehung von Aß beteiligt. So erhöhen FAD-assoziierte Mutationen in PS-1 und PS-2 die Bildung von Aß42. Außerdem verhindern sowohl homozygote PS-1 Null-Mutationen (PS-1-/-) in transgenen Mäusen, als auch dominant negative PS-1 Mutationen in Kulturzellen die Ab Bildung. Diese Belege sprechen für die zur Zeit favorisierte Amyloid Hypothese, in der die toxische Wirkung des Aß-Peptides in der Entstehung der Alzheimer Erkrankung eine zentrale Rolle einnimmt. Die y-Sekretase ist eine Protease, deren Aktivität für die Entstehung von Ab aus dem Vorläuferprotein APP essentiell ist. Damit bildet sie einen möglichen Ansatzpunkt, um grundlegend in den Prozeß der Ab Bildung einzugreifen. Die y-Sekretase ist allerdings noch nicht identifiziert oder kloniert. Es gibt Hinweise, daß die Preseniline y-Sekretase Aktivität besitzen könnten. Diese Theorie ist bis heute jedoch nicht eindeutig belegt. In dieser Arbeit sollten die molekularen Mechanismen der Ab Entstehung und insbesondere die Beteiligung der Preseniline an diesem Prozeß untersucht werden. Dazu wurde zunächst die subzelluläre Verteilung der endogenen Preseniline analysiert. Es konnte erstmalig ein Unterschied in der subzellulären Verteilung zwischen PS-1 und PS-2 festgestellt werden. PS-1 war vorwiegend im ER lokalisiert, wogegen PS-2 stark im Golgi-Apparat angereichert war. Im zweiten Teil der Arbeit wurde nach möglichen Interaktionen der Preseniline mit C-terminalen APP Fragmenten gesucht, die die Substrate der y-Sekretase darstellen. Es konnte gezeigt werden, daß die Preseniline mit einem 21 kDa großen C-terminalen APP Fragment interagieren. Dabei band die Mutante-Form der Preseniline mehr C-terminales APP Fragment als die Wildtyp-Form. Weiterhin wurde ein zellfreies System zur indirekten Bestimmung der y-Sekretase Aktivität etabliert. Mit Hilfe dieses Systems wird es möglich, Inhibitoren der y-Sekretase zu identifizieren. Die Spezifität des zellfreien Testsystems konnte dadurch deutlich gemacht werden, daß das PS-1, das schon in Zellkultur als essentielle Proteinkomponente zur Entstehung von Aß beschrieben wurde, auch in diesem zellfreien y-Sekretase System notwendig war. Allgemeine Proteaseinhibitoren, die alle bekannten Proteasemechanismen abdeckten, zeigten keinen Einfluß auf die de novo Bildung von Aß. Es konnte festgestellt werden, daß neben der y-Sekretase als Aß produzierende Protease auch Aß abbauende Proteasen vorlagen. Das pH-Optimum der y-Sekretase wurde im neutralen Bereich festgestellt. Weiterhin konnte gezeigt werden, daß die y-Sekretase eine transmembrane oder zumindest membranassoziierte Protease ist, die keine cytosolischen Komponenten benötigt.