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ZnO-based semiconductors were studied by Raman spectroscopy and complementary methods (e.g. XRD, EPS) with focus on semimagnetic alloying with transition metal ions, doping (especially p-type doping with nitrogen as acceptor), and nanostructures (especially wet-chemically synthesized nanoparticles).
The role of elastic interactions, particularly for the self-organized formation of periodically faceted interfaces, was investigated in this thesis for archetype organic-metal interfaces. The cantilever bending technique was applied to study the change of surface stress upon formation of the interface between 3,4,9,10-perylene-tetracarboxylic-dianhydride (PTCDA) and Ag(111). This system is known to form a chemisorptive bonding. Indeed, the sign and the coverage-dependence of the surface stress change are in agreement to models and previous measurements of chemisorptive systems in literature. While the adsorption of molecules into the large domains is associated with a negative, i.e. compressive stress change, the formation of domain boundaries in the molecular layer induces a stress change of opposite sign, increasing the surface stress. The magnitude of the surface stress change of (-0.30 +- 0.10} N/m reflects a relatively weak binding of a PTCDA molecule to each individual single silver atom. It is emphasized, however, that if normalized to the surface stress change per molecule, this value corresponds to a stress change of (-2.2 +- 0.2) eV per molecule which is in the order of the suspected binding energy of this system. Therefore, these experiments reveal elastic interactions to be of significant order of magnitude for this system class. Thereby, they add a new point of view to the understanding of these interfaces. Besides, since the results are in agreement with the well-known properties of this interface, they establish the cantilever bending technique in the field of organic-metal interfaces. The mere existence of a bending of the sample implies an interesting detail for the PTCDA/Ag(111) interface in particular. It is the first experimental evidence for a structural change in the topmost substrate layers upon adsorption of PTCDA on Ag(111). Since such a modification has significant implications for the interpretation of other experimental results, a further investigation with more quantitative structural methods appears necessary. The main focus of this work, however, was on the investigation of the formation of the long-range ordered, self-organized faceted PTCDA/Ag(10 8 7) interface. Reciprocal space maps of this interface were recorded both by spot profile analysis low energy electron diffraction (SPA-LEED) and low energy electron microscopy (LEEM) in selected area LEED mode. Complementary to the reciprocal data, also microscopic real-space LEEM data were used to characterize the morphology of this interface. Six different facet faces ((111), (532), (743), (954), (13 9 5), and (542)) were observed for the preparation path of molecular adsorption on the substrate kept at 550 K. Facet-sensitive dark-field LEEM localized these facets to grow in homogeneous areas of microscopic extensions. If the pristine mesoscopic orientation locally deviates from the average orientation, e.g. in pristine step density, locally different facet types are formed, distorting the otherwise regular mesoscopic pattern. Hence, the original mesoscopic orientation of the substrate strongly determines the degree of order of the faceted surface and the facet species formed. The temperature-dependence of the interface formation was studied in a range between 418 K and 612 K in order to learn more about the kinetics of the process. Additional steeper facets of 27° inclination with respect to the (111) surface were observed in the low temperature regime. Furthermore, using facet-sensitive dark-field LEEM, spatial and size distributions of specific facets were studied for the different temperatures. The nucleation density of the facets did not depend on temperature and can therefore be concluded not to be limited by diffusion. Moreover, the facet dimensions were statistically analyzed. The total island size of the facets follows an exponential distribution, indicating a random growth mode in absence of any mutual facet interactions. While the length distribution of the facets also follows an exponential distribution, the width distribution is peaked, reflecting the high degree of lateral order. This anisotropy is temperature-dependent and occurs starting above 478 K substrate temperature during growth. The peaked distribution indicates the presence of a long-range interaction which leads to the structural order of the self-organized grating. The origin of this long-range interaction was investigated combining three complementary in-situ methods, all providing new insights into the formation of faceted organic-metal interfaces: the cantilever bending technique, high-resolution low energy electron diffraction (SPA-LEED), and microscopy (LEEM). The cantilever bending technique was applied for the first time to a faceting system at all. Below the faceting transition temperature the surface stress change associated with the formation of the PTCDA/Ag(10 8 7) interface resembles in shape and magnitude the one observed for the reference interface PTCDA/Ag(111). But above the transition temperature the absolute surface stress change of (-0.67 +- 0.10) N/m observed for the faceted PTCDA/Ag(10 8 7) interface is considerably larger than for the previous cases. Moreover, the stress change happens in distinguishable stages with a clearly resolvable fine structure of regimes of positive and negative stress changes. These different regimes of surface stress change can be correlated to different stages of the structural phase transition observed by the structural in-situ methods. Thereby, morphological objects (i.e. the facets) are assigned to a specific stress character. Thus, domains of different stress character can be identified on the surface. These stress domains are the prerequisite to apply continuum descriptions of the self-ordering process based on elastic interactions. Hence, the results are the first experimental verification that these continuum descriptions are indeed also applicable to the whole system class of faceting organic-metal interfaces. In conclusion, the results provide strong evidence for elastic interactions being the physical origin of long-range order for this system. In addition, the clear correlation of structural phase transition and surface stress change regimes suggests surface stress to play also an important role for the kinetics of the system. Indeed, the system seems to try to limit the overall stress change during the interface formation by forming facets of positive and negative stress character. Hence, the selection of specific facets could depend on the corresponding stress character. Furthermore, the system seems willing to re-facet at high coverages in order to prevent imperfect domain boundaries which are associated with an increase of surface stress. Finally, template-assisted growth of lateral, heterorganic nanostructures has been explored. Therefore, self-assembled monolayers as a second archetype class of molecules were grown on partially covered PTCDA/Ag(10 8 7) interfaces. Indeed, using standard surface science techniques, the basic principle of this growth scheme was confirmed to be successful.
The control of quantum mechanical processes, especially the selective manipulation of photochemical reactions by shaped fs laser pulses was successfully demonstrated in many experiments in the fields of physics, chemistry and biology. In this work, attention is directed to the control of two systems that mark a bridge to real synthetic chemistry. In a liquid phase environment the outcome of the photo-induced Wolff rearrangement of an industrially relevant diazonaphthoquinone compound, normally used in photoresists (e.g. Novolak) was optimized using shaped fs laser pulses. In the second series of experiments chemical reactions on a catalyst metal surface which comprise laser induced molecular bond formation channels were selectively manipulated for the first time. The control of liquid phase reactions necessitates adequate spectroscopic signals that are characteristic for the formed product species. Therefore, a pump-probe setup for transient absorption spectroscopy in the mid-infrared for the purpose of investigating ultrafast structural changes of molecules during photoreactions was constructed. This versatile setup enables to monitor structural changes of molecules in the liquid phase and to find appropriate feedback signals for the control of these processes. Prior to quantum control experiments, the photoinduced Wolff-rearrangement reaction of 2-diazo-1-naphthoquinone (DNQ) dissolved in water and methanol was thoroughly investigated. Steady state absorption measurements in the mid-infrared in combination with quantum chemical density functional theory (DFT) calculations revealed the characteristic vibrational bands of DNQ and of possible products. A mid-infrared transient absorption study was performed, to illuminate the structural dynamics of the ultrafast rearrangement reaction of DNQ. The experimental observations indicate, that the Wolff rearrangement reaction of DNQ proceeds within 300 fs. A model for the relaxation dynamics of the ketene photoproduct and DNQ after photoexcitation can be deduced that fits the measured data very well. The object of the quantum control experiments on DNQ was the improvement of the ketene yield. It was shown that the ketene formation after Wolff rearrangement of DNQ is very sensitive to the shape of the applied excitation laser pulses. The variation of single parameters, like the linear chirp as well as the pulse separation of colored double pulses lead to the conclusion that the well known intrapulse dumping mechanism is responsible for the impact of the frequency ordering within the excitation pulse on the photoproduct yield. Adaptive optimizations using a closed learning loop basically lead to the same result. Adaptive fs quantum control was also applied to surface reactions on a catalyst metal surface for the first time. Therefore, the laser-induced catalytic reactions of carbon monoxide (CO) and hydrogen (H2) on a Pd(100) single crystal surface were studied. This photochemical reaction initiated with fs laser pulses has not been observed before. Several product molecules could be synthesized, among them also species (e.g. CH^3+) for whose formation three particles are involved. The systematic variation of different parameters showed that the reactions are sensitive to the catalyst surface, the composition of the adsorbate and to the laser properties. A pump-probe study revealed that they occur on an ultrafast time scale. These catalytic surface reactions were then investigated and improved with phaseshaped fs laser pulses. By applying a feedback optimal control scheme, the reaction outcome could be successfully manipulated and the ratio of different reaction channels could be selectively controlled. Evidence has been found that the underlying control mechanism is nontrivial and sensitive to the specific conditions on the surface. The experiments shown here represent the first successful experiment on adaptive fs quantum control of a chemical reaction between adsorbate molecules on a surface. In contrast to previous quantum control experiments, reaction channels comprising the formation of new molecular bonds rather than the cleavage of already existing bonds are controlled. This work successfully showed that quantum control can be extended to systems closer to situations encountered in synthetic chemistry as was demonstrated in the two examples of the optimization of a complicated rearrangement reaction and the selective formation of chemical bonds with shaped fs laser pulses.
Besides image contrast, imaging speed is probably the most important consideration in clinical magnetic resonance imaging (MRI). MR scanners currently operate at the limits of potential imaging speed, due to technical and physiological problems associated with rapidly switched gradient systems. Parallel imaging (parallel MRI or pMRI) is a method which allows one to significantly shorten the acquisition time of MR images without changing the contrast behavior of the underlying MR sequence. The accelerated image acquisition in pMRI is accomplished without relying on more powerful technical equipment or exceeding physiological boundaries. Because of these properties, pMRI is currently employed in many clinical routines, and the number of applications where pMRI can be used to accelerate imaging is increasing. However, there is also growing criticism of parallel imaging in certain applications. The primary reason for this is the intrinsic loss in the SNR due to the accelerated acquisition. In addition, other effects can also lead to a reduced image quality. Due to unavoidable inaccuracies in the pMRI reconstruction process, local and global errors may appear in the final reconstructed image. The local errors are visible as noise enhancement, while the global errors result in the so-called fold-over artifacts. The appearance and strength of these negative effects, and thus the image quality, depend upon different factors, such as the parallel imaging method chosen, specific parameters in the method, the sequence chosen, as well as specific sequence parameters. In general, it is not possible to optimize all of these parameters simultaneously for all applications. The application of parallel imaging in can lead to very pronounced image artifacts, i.e. parallel imaging can amplify errors. On the other hand, there are applications such as abdominal MR or MR angiography, in which parallel imaging does not reconstruct images robustly. Thus, the application of parallel imaging leads to errors. In general, the original euphoria surrounding parallel imaging in the clinic has been dampened by these problems. The reliability of the pMRI methods currently implemented is the main criticism. Furthermore, it has not been possible to significantly increase the maximum achievable acceleration with parallel imaging despite major technical advances. An acceleration factor of two is still standard in clinical routine, although the number of independent receiver channels available on most MR systems (which are a basic requirement for the application of pMRI) has increased by a factor of 3-6 in recent years. In this work, a novel and elegant method to address this problem has been demonstrated. The idea behind the work is to combine two methods in a synergistic way, namely non-Cartesian acquisition schemes and parallel imaging. The so-called non-Cartesian acquisition schemes have several advantages over standard Cartesian acquisitions, in that they are often faster and less sensitive to physiological noise. In addition, such acquisition schemes are very robust against fold-over artifacts even in the case of vast undersampling of k-space. Despite the advantages described above, non-Cartesian acquisition schemes are not commonly employed in clinical routines. A reason for that is the complicated reconstruction techniques which are required to convert the non-Cartesian data to a Cartesian grid before the fast Fourier transformation can be employed to arrive at the final MR image. Another reason is that Cartesian acquisitions are routinely accelerated with parallel imaging, which is not applicable for non-Cartesian MR acquisitions due to the long reconstruction times. This negates the speed advantage of non-Cartesian acquisition methods. Through the development of the methods presented in this thesis, reconstruction times for accelerated non-Cartesian acquisitions using parallel imaging now approach those of Cartesian images. In this work, the reliability of such methods has been demonstrated. In addition, it has been shown that higher acceleration factors can be achieved with such techniques than possible with Cartesian imaging. These properties of the techniques presented here lead the way for an implementation of such methods on MR scanners, and thus also offer the possibility for their use in clinical routine. This will lead to shorter examination times for patients as well as more reliable diagnoses.
Nuclear magnetic resonance (NMR) imaging is a well-established imaging technique. If the achieved spatial resolution is below 100 um, it is usually denoted as magnetic resonance microscopy (MRM). The spatial resolution limit is on the order of a few um. As a downside, high resolution imaging is usually time-consuming and technological requirements are very sumptuous. Furthermore, miniaturization of the radiofrequency (RF) coil leading to a so-called microcoil is necessary; it also brings along detrimental effects. Therefore, there is a high potential for optimizing present MRM methods. Hence it is the aim of this work to improve and further develop present methods in MRM with focus on the RF coil and to apply those methods on new biological applications. All experiments were conducted on a Bruker 17.6 T system with a maximum gradient strength of 1 T/m and four RF receiver channels. Minimizing the RF coil dimensions, leads to increased artefacts due to differences in magnetic susceptibility of the coil wire and surrounding air. Susceptibility matching by immersing the coil in FC-43 is the most common approach that fulfills the requirements of most applications. However, hardly any alternatives are known for cases where usage of FC-43 is not feasible due to its specific disadvantages. Two alternative substances (bromotricholoromethane and Fomblin Y25) were presented and their usability was checked by susceptibility determination and demonstration experiments after shimming under practical conditions. In a typical MRM microcoil experiment, the sample volume is significantly smaller than the maximum volume usable for imaging. This mismatch has been optimized in order to increase the experiment efficiency by increasing the number of probe coils and samples used. A four-channel probehead consisting of four individual solenoid coils suited for cellular imaging of Xenopus laevis oocytes was designed, allowing simultaneous acquisition from four samples. All coils were well isolated and allowed quantitative image acquisition with the same spatial resolution as in single coil operation. This method has also been applied in other studies for increased efficiency: using X. laevis oocytes as a single cell model, the effect of chemical fixation on intracellular NMR relaxation times T1 and T2 and on diffusion was studied for the first time. Significant reduction of relaxation times was found in all cell compartments; after reimmersion in buffer, values return close to the initial values, but there were small but statistically significant differences due to residual formaldehyde. Embryos of the same species have been studied morphologically in different developmental stages. Wild type embryos were compared to embryos that had experienced variations in protein levels of chromosomal proteins HMGN and H1A. Significant differences were found between wild type and HMGN-modified embryos, while no difference was observed between wild type and H1-modified embryos. These results were concordant with results obtained from light microscopy and histology. The technique of molecular imaging was also performed on X. laevis embryos. Commercially available antibodies coupled to ultrasmall superparamagnetic iron oxide (USPIO) dextrane coated particles (MACS) served as a specific probe detectable by MRM, the aim being the detection of tissue specific contrast variations. Initially, the relaxivity of MACS was studied and compared to Resovist and VSOP particles. The iron concentration was determined quantitatively by using a general theoretical approach and results were compared to values obtained from mass spectroscopy. After incubation with MACS antibodies, intraembryonal relaxation times were determined in different regions of the embryo. These values allowed determination of local iron oxide particle concentrations, and specific binding could be distinguished from unspecific binding. Although applications in this work were focused on X. laevis oocytes and embryos, 3D-imaging on a beewolf head was also carried out in order to visualize the postpharyngeal gland. Additionally, an isolated beewolf antenna was imaged with a spatial resolution of (8 um)^3 for depiction of the antennal glands by using a microcoil that was specially designed for this sample. The experiments carried out in this work show that commercially available MRM systems can be significantly optimized by using small sample-adapted RF coils and by parallel operation of multiple coils, by which the sample throughput and thus time-efficiency is increased. With this optimized setup, practical use was demonstrated in a number of new biological applications.
The goal of the work presented in this thesis was to explore the possibilities and limitations of MRI / MRS using an ultra high field of 17.6 tesla. A broad range of specific applications and MR methods, from MRI to MRSI and MRS were investigated. The main foci were on sodium magnetic resonance spectroscopic imaging of rodents, magnetic resonance spectroscopy of the mouse brain, and the detection of small amounts of iron labeled stem cells in the rat brain using MRI Sodium spectroscopic imaging was explored since it benefits tremendously from the high magnetic field. Due to the intrinsically low signal in vivo, originating from the low concentrations and short transverse relaxation times, only limited results have been achieved by other researchers until now. Results in the literature include studies conducted on large animals such as dogs to animals as small as rats. No studies performed on mice have been reported, despite the fact that the mouse is the most important laboratory animal due to the ready availability of transgenic strains. Hence, this study concentrated on sodium MRSI of small rodents, mostly mice (brain, heart, and kidney), and in the case of the brain on young rats. The second part of this work concentrated on proton magnetic resonance spectroscopy of the rodent brain. Due to the high magnetic field strength not only the increasing signal but also the extended spectral resolution was advantageous for such kind of studies. The difficulties/limitations of ultra high field MRS were also investigated. In the last part of the presented work detection limits of iron labeled stem cells in vivo using magnetic resonance imaging were explored. The studies provided very useful benchmarks for future researchers in terms of the number of labeled stem cells that are required for high-field MRI studies. Overall this work has shown many of the benefits and the areas that need special attention of ultra high fields in MR. Three topics in MRI, MRS and MRSI were presented in detail. Although there are significant additional difficulties that have to be overcome compared to lower frequencies, none of the work presented here would have been possible at lower field strengths.
This work studies the fundamental connection between lattice strain and magnetic anisotropy in the ferromagnetic semiconductor (Ga,Mn)As. The first chapters provide a general introduction into the material system and a detailed description of the growth process by molecular beam epitaxy. A finite element simulation formalism is developed to model the strain distribution in (Ga,Mn)As nanostructures is introduced and its predictions verified by high-resolution x-ray diffraction methods. The influence of lattice strain on the magnetic anisotropy is explained by an magnetostatic model. A possible device application is described in the closing chapter.
Magnetic Resonance Imaging (MRI) is an imaging modality which provides anatomical or functional images of the human body with variable contrasts in an arbitrarily positioned slice without the need for ionizing radiation. In MRI, data are not acquired directly, but in the reciprocal image space (otherwise known as k-space) through the application of spatially variable magnetic field gradients. The k-space is made up of a grid of data points which are generally acquired in a line-by-line fashion (Cartesian imaging). After the acquisition, the k-space data are transformed into the image domain using the Fast Fourier Transformation (FFT). However, the acquisition of data is not limited to the rectilinear Cartesian sampling scheme described above. Non-Cartesian acquisitions, where the data are collected along exotic trajectories, such as radial and spiral, have been shown to be beneficial in a number of applications. However, despite their additional properties and potential advantages, working with non-Cartesian data can be complicated. The primary difficulty is that non-Cartesian trajectories are made up of points which do not fall on a Cartesian grid, and a simple and fast FFT algorithm cannot be employed to reconstruct images from non-Cartesian data. In order to create an image, the non-Cartesian data are generally resampled on a Cartesian grid, an operation known as gridding, before the FFT is performed. Another challenge for non-Cartesian imaging is the combination of unusual trajectories with parallel imaging. This thesis has presented several new non-Cartesian parallel imaging methods which simplify both gridding and the reconstruction of images from undersampled data. In Chapter 4, a novel approach which uses the concepts of parallel imaging to grid data sampled along a non-Cartesian trajectory called GRAPPA Operator Gridding (GROG) is described. GROG shifts any acquired k-space data point to its nearest Cartesian location, thereby converting non-Cartesian to Cartesian data. The only requirements for GROG are a multi-channel acquisition and a calibration dataset for the determination of the GROG weights. Chapter 5 discusses an extension of GRAPPA Operator Gridding, namely Self-Calibrating GRAPPA Operator Gridding (SC-GROG). SC-GROG is a method by which non-Cartesian data can be gridded using spatial information from a multi-channel coil array without the need for an additional calibration dataset, as required in standard GROG. Although GROG can be used to grid undersampled datasets, it is important to note that this method uses parallel imaging only for gridding, and not to reconstruct artifact-free images from undersampled data. Chapter 6 introduces a simple, novel method for performing modified Cartesian GRAPPA reconstructions on undersampled non-Cartesian k-space data gridded using GROG to arrive at a non-aliased image. Because the undersampled non-Cartesian data cannot be reconstructed using a single GRAPPA kernel, several Cartesian patterns are selected for the reconstruction. Finally, Chapter 7 discusses a novel method of using GROG to mimic the bunched phase encoding acquisition (BPE) scheme. In MRI, it is generally assumed that an artifact-free image can be reconstructed only from sampled points which fulfill the Nyquist criterion. However, the BPE reconstruction is based on the Generalized Sampling Theorem of Papoulis, which states that a continuous signal can be reconstructed from sampled points as long as the points are on average sampled at the Nyquist frequency. A novel method of generating the “bunched” data using GRAPPA Operator Gridding (GROG), which shifts datapoints by small distances in k-space using the GRAPPA Operator instead of employing zig-zag shaped gradients, is presented in this chapter. With the conjugate gradient reconstruction method, these additional “bunched” points can then be used to reconstruct an artifact-free image from undersampled data. This method is referred to as GROG-facilitated Bunched Phase Encoding, or GROG-BPE.