@phdthesis{Nikolaev2005,
  author    = {Nikolaev, Viacheslav},
  title     = {Development and application of fluorescent cAMP und cGMP biosensors},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-15673},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2005},
  abstract  = {The cyclic nucleotides cAMP and cGMP are two ubiquitous important second messengers, which regulate diverse physiological responses from vision and memory to blood pressure and thrombus formation. They act in cells via cAMP- and cGMP-dependent protein kinases (PKA and GK), cyclic nucleotide-gated channels and Epac. Although the concept of cyclic nucleotide signalling is well developed based on classical biochemical studies, these techniques have not allowed to analyze cAMP and cGMP in live cells with high temporal and spatial resolution. In the present study fluorescence resonance energy transfer was used to develop a technique for visualization of cAMP and cGMP in live cells and in vitro by means of fluorescent biosensors. Ligand-induced conformational change in a single nucleotide-binding domain flanked with green fluorescent protein mutants was used for dynamic, highly sensitive measurements of cAMP and cGMP. Such biosensors retained binding properties and chemical specificity of unmodified domains, allowing to image cyclic nucleotides in a physiologically relevant range of concentrations. To develop cAMP-sensors, binding domains of PKA, Epac and cAMP-gated HCN-channel were used. cGMP-sensors were based on single domains of GK and phosphodiesterases (PDEs). Sensors based on Epac were used to analyze spatio-temporal dynamics of cAMP in neurons and macrophages, demonstrating that cAMP-gradients travel with a high speed (~ 40 \&\#956;m/s) throughout the entire cytosol. To understand the mechanisms of cAMP-compartmentation, kinetics properties of phosphodi-esterase (PDE2) were, next, analyzed in aldosterone producing cells. PDE2 is able to rapidly hydrolyze extensive amounts of cAMP, so that the speed of cAMP-hydrolysis is much faster than that of its synthesis, which might serve as a basis of compartmentation. cAMP-sensors were also used to develop a clinically relevant diagnostic method for reliable detection of \&\#946;1-adrenergic receptor autoantibodies in cardiac myopathy patients, which has allowed to significantly increase the sensitivity of previously developed diagnostic approaches. Conformational change in a single binding domain of GK and PDE was, next, used to create novel fluorescent biosensors for cGMP. These sensors demonstrated high spatio-temporal resolution and were applied to analyze rapid dynamics of cGMP production by soluble and particulate guanylyl cyclases as well as to image cGMP in mesangial cells. In summary, highly sensitive biosensors for cAMP and cGMP based on single cyclic nucleotide-binding domains have been developed and used in various biological and clinically relevant applications.},
  subject      = {Cyclo-AMP},
  language  = {en}
}
@phdthesis{Sun2014,
  author    = {Sun, Kaipeng},
  title     = {Six Degrees of Freedom Object Pose Estimation with Fusion Data from a Time-of-flight Camera and a Color Camera},
  isbn      = {978-3-923959-97-6},
  doi       = {10.25972/OPUS-10508},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-105089},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {Object six Degrees of Freedom (6DOF) pose estimation is a fundamental problem in many practical robotic applications, where the target or an obstacle with a simple or complex shape can move fast in cluttered environments. In this thesis, a 6DOF pose estimation algorithm is developed based on the fused data from a time-of-flight camera and a color camera. The algorithm is divided into two stages, an annealed particle filter based coarse pose estimation stage and a gradient decent based accurate pose optimization stage. In the first stage, each particle is evaluated with sparse representation. In this stage, the large inter-frame motion of the target can be well handled. In the second stage, the range data based conventional Iterative Closest Point is extended by incorporating the target appearance information and used for calculating the accurate pose by refining the coarse estimate from the first stage. For dealing with significant illumination variations during the tracking, spherical harmonic illumination modeling is investigated and integrated into both stages. The robustness and accuracy of the proposed algorithm are demonstrated through experiments on various objects in both indoor and outdoor environments. Moreover, real-time performance can be achieved with graphics processing unit acceleration.},
  subject      = {Mustererkennung},
  language  = {en}
}
@phdthesis{Tzschichholz2014,
  author    = {Tzschichholz, Tristan},
  title     = {Relative pose estimation of known rigid objects using a novel approach to high-level PMD-/CCD- sensor data fusion with regard to applications in space},
  isbn      = {978-3-923959-95-2},
  issn      = {1868-7474},
  doi       = {10.25972/OPUS-10391},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-103918},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {In this work, a novel method for estimating the relative pose of a known object is presented, which relies on an application-specific data fusion process. A PMD-sensor in conjunction with a CCD-sensor is used to perform the pose estimation. Furthermore, the work provides a method for extending the measurement range of the PMD sensor along with the necessary calibration methodology. Finally, extensive measurements on a very accurate Rendezvous and Docking testbed are made to evaluate the performance, what includes a detailed discussion of lighting conditions.},
  subject      = {Bildverarbeitung},
  language  = {en}
}