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Institute
- Graduate School of Science and Technology (47) (remove)
Sonstige beteiligte Institutionen
- Technische Hochschule Nürnberg Georg Simon Ohm (2)
- Experimental Radiation Oncology, Department of Radiation Oncology, University Medical Center Mannheim (1)
- Fraunhofer Institut für Integrierte Schaltungen (IIS) (1)
- Fraunhofer Institut für Silicatforschung ISC (1)
- Hochschule Wismar (1)
- Institut für Medizintechnik Schweinfurt (IMeS) (1)
EU-Project number / Contract (GA) number
- 320377 (1)
Magnetic Particle Imaging (MPI) ist ein neuartiges tomographisches Bildgebungsverfahren,
welches in der Lage ist, dreidimensional die Verteilung von superparamagnetischen
Nanopartikeln zu detektieren. Aufgrund des direkten Nachweises
des Tracers ist MPI ein sehr schnelles und sensitives Verfahren [12] und benötigt für
eine Einordnung des Tracers (z.B. im Gewebe) eine weitere bildgebende Modalität
wie die Magnetresonanztomographie (MRI) oder die Computertomographie. Die
strukturelle Einordnung wird häufig mit dem Fusion-Imaging-Verfahren durchgeführt,
bei dem die Proben separat in den Geräten vermessen und die Datensätze
retrospektiv korreliert werden [75][76]. In einem ersten Experiment wurde bereits
ein Traveling-Wave-MPI-Scanner (TWMPI) [17] mit einem Niederfeld-MRI-Scanner
kombiniert und die ersten Hybridmessung durchgeführt [15]. Der technische Aufwand,
zwei separate Geräte aufzubauen sowie die Tatsache, dass ein MRI-Gerät
bei 30mT sehr lange benötigt, diente als Motivation für ein integriertes TWMPIMRI-
Hybridsystem, bei dem das dynamische lineare Gradientenarray (dLGA) eines
TWMPI-Scanners intrinsisch das B0-Feld für ein MRI-Gerät erzeugen sollte.
Das Ziel dieser Arbeit war es, die Grundlagen für einen integrierten TWMPI-MRIHybridscanner
zu schaffen. Die Geometrie des dLGAs sollte dabei nicht verändert
werden, damit TWMPI-Messungen weiterhin ohne Einschränkungen möglich sind.
Zusammenfassend werden hier noch mal die wichtigsten Schritte und Ergebnisse
dieser Arbeit aufgezeigt.
Zu Beginn dieser Arbeit wurde mittels Magnetfeldsimulationen nach einer geeigneten
Stromverteilung gesucht, um allein mit dem dLGA ein ausreichend homogenes
Magnetfeld erzeugen zu können. Die Ergebnisse der Simulationen zeigten,
dass bereits zwei unterschiedliche Ströme in 14 der 20 Einzelspulen des dLGAs
genügten, um ein Field of View (FOV) mit der Größe 36mm x 12mm mit ausreichender
Homogenität zu erreichen. Die Homogenität innerhalb des FOVs betrug
dabei 3000 ppm. Für die angestrebte Feldstärke von 235mT waren Stromstärken
von 129A und 124A nötig.
Die hohen Ströme des dLGAs erforderten die Entwicklung eines dafür angepassten
Verstärkers. Das ursprüngliche Konzept, welches auf einem linear angesteuerten
Leistungstransistors aufbaute, wurde in zahlreichen Schritten so weit verbessert,
dass die nötigen Stromstärken stabil an- und ausgeschaltet werden konnten.
Mithilfe eines Ganzkörper-MRIs konnte erstmals das B0-Feld des dLGAs, welches
durch den selbstgebauten Verstärker erzeugt wurde, gemessen und mit der Simulation
verglichen werden. Zwischen den beiden Verläufen zeigte sich eine qualitativ
gute Übereinstimmung.
Das Finden des NMR-Signals stellte wegen des selbstgebauten Verstärkers eine
Herausforderung dar, da zu diesem Zeitpunkt die nötige Präzision noch nicht erreicht
wurde und der wichtigste Parameter, die Magnetfeldstärke im dLGA, nicht
gemessen werden konnte. Dagegen konnte die Länge der Pulse für die Spin-Echo-
Sequenz sehr gut gemessen werden, jedoch war der optimale Wert noch nicht bekannt.
Durch iterative Messungen wurden die richtigen Einstellungen gefunden,
die nach Änderungen an der Hardware jeweils angepasst wurden.
Die Performanz des Verstärkers konnte anhand wiederholter Messungen des NMRSignals
genauer untersucht werden. Es zeigte sich, dass die Präzision weiter verbessert
werden musste, um reproduzierbare Ergebnisse zu erhalten. Mithilfe des
NMR-Signals konnten auch das B0-Feld ausgemessen werden. Es zeigte eine gute
Übereinstimmung zur Simulation. Mithilfe von vier Segmentspulen des dLGAs
war es möglich einen linearen Gradienten entlang der z-Achse zu erzeugen. Ein
Gradient wurde zusätzlich zum B0-Feld geschaltet und ebenfalls ausgemessen.
Auch dieser Verlauf zeigte eine gute Übereinstimmung zur Simulation.
Mithilfe des Gradienten wurde erfolgreich die Frequenzkodierung und die Phasenkodierung
implementiert, durch die bei beiden Messungen zwei Proben anhand
des Ortes unterschieden werden konnten. Damit war die Entwicklung des MRIScanners
abgeschlossen.
Der Aufbau des TWMPI-Scanners benötigte neben dem Bau des dLGAs die Anfertigung
von Sattelspulen. Für die MPI-Messungen konnte der fehlende Teil der
Sendekette sowie die gesamte Empfangskette von einer früheren Version benutzt
werden. Auch für das MPI wurde die Funktionalität mithilfe einer Punktprobe und
eines Phantoms überprüft, allerdings hier in zwei Dimensionen.
Die Erweiterung zu einem Hybridscanner erforderte weitere Modifikationen gegenüber
einem reinen TWMPI- bzw. MRI-Scanner. Es musste ein Weg gefunden
werden, die Beschaltung des dLGAs für die jeweilige Modalität zügig anzupassen.
Dafür wurde ein Steckbrett gebaut, das es erlaubt, die Verkabelung des dLGAs in
kurzer Zeit zu ändern. Außerdem mussten innerhalb des dLGAs die Sattelspulen
und die Empfangsspule des TWMPIs sowie die Empfangsspule des MRIs untergebracht
werden. Ein modulares System erlaubte die gleichzeitige Anordnung aller
Komponenten innerhalb des dLGAs. Das messbare FOV des MRIs ist der Homogenität
des B0-Feldes angepasst, das FOV des TWMPI ist ausgedehnter.
Zum Ende dieser Arbeit wurde erfolgreich eine Hybridmessung durchgeführt. Das
Phantom bestand aus je zwei Kugeln gefüllt mit Öl und mit einem MPI-Tracer
(Resovist). Mit TWMPI war die räumliche Abbildung der Resovistkugeln möglich,
während mit MRI die der Ölkugeln möglich war. Diese in situ Messung zeigte die
erfolgreiche Umsetzung des Konzeptes für den TWMPI-MRI-Hybridscanner.
Zusammenfassend wurden in dieser Arbeit die Grundlagen für einen TWMPIMRI-
Hybridscanner gelegt. Die größte Schwierigkeit bestand darin, ein ausreichend
homogenes B0-Feld für das MRI zu erzeugen, mit dem man ein gutes NMRSignal
aufnehmen konnte. Mit einer einfachen Stromverteilung, bestehend aus zwei
unterschiedlichen Strömen, konnte ein ausreichend homogenes B0-Feld erzeugt
werden. Durch komplexere Stromverteilungen lässt sich die Homogenität noch verbessern
und somit das FOV vergrößern.
Die MRI-Bildgebung wurde in dieser Arbeit für eine Dimension implementiert und
soll in fortführenden Arbeiten auf 2D und 3D ausgedehnt werden. Letztendlich
soll anhand eines MRI-Bildes die Partikelverteilung des MPI-Tracers in Lebewesen
deren Anatomie zugeordnet werden. In [76][77][78] sind die ersten präklinischen
Anwendungen mit dem TWMPI-Scanner durchgeführt worden. Diese Anwendungen
erlangen eine höhere Aussagekraft durch die zusätzlichen Informationen eines
TWMPI-MRI-Hybridscanners.
In weiteren Arbeiten sollte zusätzlich die Größe des FOVs für das MRI erweitert
werden. Außerdem macht es Sinn, einen elektronischen Schalter zum Umschalten
des dLGAs zwischen MRI und MPI zu realisieren.
Die nächste Version des Hybridscanners könnte beispielsweise ein komplett neu
gestaltetes dLGA enthalten, in dem jede Segmentspule in radialer Richtung einmal
geteilt wird und dadurch in eine innere und eine äußere Spule zerlegt wird. Für
das MRI werden die beiden Spulenteile gegen geschaltet, um ein homogenes Feld
in radialer Richtung zu erhalten. Für das TWMPI werden die Spulenteile gleichgeschaltet,
um einen möglichst starken Feldgradienten zu erreichen.
In dieser Arbeit wurde für die nächste Version eines TWMPI-MRI-Hybridscanners
viel Wissen generiert, das äußerst hilfreich für das neue Design sein wird. Anhand
der Vermessung des B0-Feldes hat sich gezeigt, dass die simulierten Magnetfelder
gut mit den gemessenen Magnetfeldern übereinstimmen. Außerdem wurde viel
gelernt über die Kombination von TWMPI mit MRI.
It is the aim of this thesis to present a visual body weight estimation, which is suitable for medical applications. A typical scenario where the estimation of the body weight is essential, is the emergency treatment of stroke patients: In case of an ischemic stroke, the patient has to receive a body weight adapted drug, to solve a blood clot in a vessel. The accuracy of the estimated weight influences the outcome of the therapy directly. However, the treatment has to start as early as possible after the arrival at a trauma room, to provide sufficient treatment. Weighing a patient takes time, and the patient has to be moved. Furthermore, patients are often not able to communicate a value for their body weight due to their stroke symptoms. Therefore, it is state of the art that physicians guess the body weight. A patient receiving a too low dose has an increased risk that the blood clot does not dissolve and brain tissue is permanently damaged. Today, about one-third gets an insufficient dosage. In contrast to that, an overdose can cause bleedings and further complications. Physicians are aware of this issue, but a reliable alternative is missing.
The thesis presents state-of-the-art principles and devices for the measurement and estimation of body weight in the context of medical applications. While scales are common and available at a hospital, the process of weighing takes too long and can hardly be integrated into the process of stroke treatment. Sensor systems and algorithms are presented in the section for related work and provide an overview of different approaches.
The here presented system -- called Libra3D -- consists of a computer installed in a real trauma room, as well as visual sensors integrated into the ceiling. For the estimation of the body weight, the patient is on a stretcher which is placed in the field of view of the sensors. The three sensors -- two RGB-D and a thermal camera -- are calibrated intrinsically and extrinsically. Also, algorithms for sensor fusion are presented to align the data from all sensors which is the base for a reliable segmentation of the patient.
A combination of state-of-the-art image and point cloud algorithms is used to localize the patient on the stretcher. The challenges in the scenario with the patient on the bed is the dynamic environment, including other people or medical devices in the field of view.
After the successful segmentation, a set of hand-crafted features is extracted from the patient's point cloud. These features rely on geometric and statistical values and provide a robust input to a subsequent machine learning approach. The final estimation is done with a previously trained artificial neural network.
The experiment section offers different configurations of the previously extracted feature vector. Additionally, the here presented approach is compared to state-of-the-art methods; the patient's own assessment, the physician's guess, and an anthropometric estimation. Besides the patient's own estimation, Libra3D outperforms all state-of-the-art estimation methods: 95 percent of all patients are estimated with a relative error of less than 10 percent to ground truth body weight. It takes only a minimal amount of time for the measurement, and the approach can easily be integrated into the treatment of stroke patients, while physicians are not hindered.
Furthermore, the section for experiments demonstrates two additional applications: The extracted features can also be used to estimate the body weight of people standing, or even walking in front of a 3D camera. Also, it is possible to determine or classify the BMI of a subject on a stretcher. A potential application for this approach is the reduction of the radiation dose of patients being exposed to X-rays during a CT examination.
During the time of this thesis, several data sets were recorded. These data sets contain the ground truth body weight, as well as the data from the sensors. They are available for the collaboration in the field of body weight estimation for medical applications.
There is great interest in affordable, precise and reliable metrology underwater:
Archaeologists want to document artifacts in situ with high detail.
In marine research, biologists require the tools to monitor coral growth and geologists need recordings to model sediment transport.
Furthermore, for offshore construction projects, maintenance and inspection millimeter-accurate measurements of defects and offshore structures are essential.
While the process of digitizing individual objects and complete sites on land is well understood and standard methods, such as Structure from Motion or terrestrial laser scanning, are regularly applied, precise underwater surveying with high resolution is still a complex and difficult task.
Applying optical scanning techniques in water is challenging due to reduced visibility caused by turbidity and light absorption.
However, optical underwater scanners provide significant advantages in terms of achievable resolution and accuracy compared to acoustic systems.
This thesis proposes an underwater laser scanning system and the algorithms for creating dense and accurate 3D scans in water.
It is based on laser triangulation and the main optical components are an underwater camera and a cross-line laser projector.
The prototype is configured with a motorized yaw axis for capturing scans from a tripod.
Alternatively, it is mounted to a moving platform for mobile mapping.
The main focus lies on the refractive calibration of the underwater camera and laser projector, the image processing and 3D reconstruction.
For highest accuracy, the refraction at the individual media interfaces must be taken into account.
This is addressed by an optimization-based calibration framework using a physical-geometric camera model derived from an analytical formulation of a ray-tracing projection model.
In addition to scanning underwater structures, this work presents the 3D acquisition of semi-submerged structures and the correction of refraction effects.
As in-situ calibration in water is complex and time-consuming, the challenge of transferring an in-air scanner calibration to water without re-calibration is investigated, as well as self-calibration techniques for structured light.
The system was successfully deployed in various configurations for both static scanning and mobile mapping.
An evaluation of the calibration and 3D reconstruction using reference objects and a comparison of free-form surfaces in clear water demonstrate the high accuracy potential in the range of one millimeter to less than one centimeter, depending on the measurement distance.
Mobile underwater mapping and motion compensation based on visual-inertial odometry is demonstrated using a new optical underwater scanner based on fringe projection.
Continuous registration of individual scans allows the acquisition of 3D models from an underwater vehicle.
RGB images captured in parallel are used to create 3D point clouds of underwater scenes in full color.
3D maps are useful to the operator during the remote control of underwater vehicles and provide the building blocks to enable offshore inspection and surveying tasks.
The advancing automation of the measurement technology will allow non-experts to use it, significantly reduce acquisition time and increase accuracy, making underwater metrology more cost-effective.
Dementia is a complex neurodegenerative syndrome that by 2050 could affect about 135 Million people worldwide. People with dementia experience a progressive decline in their cognitive abilities and have serious problems coping with activities of daily living, including
orientation and wayfinding tasks. They even experience difficulties in finding their way in a familiar environment. Being lost or fear of getting lost may consequently develop into other psychological deficits such as anxiety, suspicions, illusions, and aggression. Frequent results are social isolation and a reduced quality of life. Moreover, the lives of relatives and
caregivers of people with dementia are also negatively affected.
Regarding navigation and orientation, most existing approaches focus on outdoor environment and people with mild dementia, who have the capability to use mobile devices. However, Rasquin (2007) observe that even a device with three buttons may be too complicated for
people with moderate to severe dementia. In addition, people who are living in care homes mainly perform indoor activities. Given this background, we decided to focus on designing a system for indoor environments for people with moderate to severe dementia, who are unable
or reluctant to use smartphone technology.
Adopting user-centered design approach, context and requirements of people with dementia were gathered as a first step to understand needs and difficulties (especially in spatial disorientation and wayfinding problems) experienced in dementia care facilities. Then, an "Implicit Interactive Intelligent (III) Environment" for people with dementia was proposed emphasizing implicit interaction and natural interface. The backbone of this III Environment is based on supporting orientation and navigation tasks with three systems: a Monitoring system, an intelligent system, and a guiding system. The monitoring system and intelligent system automatically detect and interpret the locations and activities performed by the users i.e. people with dementia. This approach (implicit input) reduces cognitive workload as well as physical workload on the user to provide input. The intelligent system is also aware of context, predicts next situations (location, activity), and decides when to provide an appropriate service to the users. The guiding system with intuitive and dynamic environmental cues (lighting with color) has the responsibility for guiding the users to the places they need to be.
Overall, three types of a monitoring system with Ultra-Wideband and iBeacon technologies, different techniques and algorithms were implemented for different contexts of use.
They showed a high user acceptance with a reasonable price as well as decent accuracy and precision. In the intelligent system, models were built to recognize the users’ current activity, detect the erroneous activity, predict the next location and activity, and analyze the
history data, detect issues, notify them and suggest solutions to caregivers via visualized web interfaces. About the guiding systems, five studies were conducted to test and evaluate the effect of lighting with color on people with dementia. The results were promising. Although
several components of III Environment in general and three systems, in particular, are in place (implemented and tested separately), integrating them all together and employing this in the dementia context as a fully properly evaluation with formal stakeholders (people with
dementia and caregivers) are needed for the future step.
Motivated by the perceived great potential of chiral polymers, the presented work aimed at the investigation of synthesis, solubility and optical activity of chiral poly(2,4-disubstituted-2-oxazoline)s. A novel polymeric carrier based on ABA-type triblock copolymers poly(2-oxazoline)s with chiral and racemic hydrophobic blocks was developed for the formulation of chiral and achiral drugs (Fig. 5.1). Poly(2-methyl-2-oxazoline) (pMeOx) was used as hydrophilic A block, and poly(2-ethyl-4-ethyl-2-oxazoline) (pEtEtOx) and poly(2-propyl-4-methyl-2-oxazoline) (pPrMeOx) were used as hydrophobic B blocks. Curcumin (CUR), paclitaxel (PTX) and chiral/racemic ibuprofen (R/S/RS-IBU) were applied as model drugs. Nanoformulations were prepared consisting of these triblock copolymers and model drugs. ...
Die vorliegende Arbeit umfasst die Synthese, die Untersuchung von Struktur-Eigenschafts-Beziehungen und Eigenschaftsmodifikationen von Komplexen und Koordinationspolymeren basierend auf den 3d-Übergangsmetallchloriden von Mn, Fe, Co sowie Zn und N-heterozyklischen Liganden.
Durch die Kombination von mechanochemische Umsetzungen, mikrowellenassistierten Synthesen, solvensassistierten, solvothermalen und solvensfreien Reaktionen zu verschiedenen Synthesestrategien wurden 23 neue Koordinationsverbindungen synthetisiert und charakterisiert.
Ausgehend von den auf mechanochemischem Weg synthetisierten, monomeren Precursor-Komplexen [MCl2(TzH)4] (M = Mn und Fe) konnten die höhervernetzten Koordinationspolymere 1∞[FeCl(TzH)2]Cl und 1∞[MCl2(TzH)] (M = Fe und Mn) durch thermische und mikrowelleninduzierte Konversionsreaktionen als phasenreine Bulkprodukte erhalten werden. Die sukzessive Abgabe organischer Liganden und die damit verbundene Umwandlung in die höhervernetzten Spezies wurden dabei mittels temperaturabhängiger Pulverdiffraktometrie und simultanem DTA/TG-Verfahren analysiert.
Durch gezielte Variation der Lösungsmittel beim Liquid-assisted grinding, der mechanochemischen Synthese unter Zugabe einer flüssigen Phase, konnten die beiden polymorphen Koordinationspolymere α-1∞[MnCl2(BtzH)2] und β-1∞[MnCl2(BtzH)2] erhalten werden, die im monoklinen bzw. orthorhombischen Kristallsystem kristallisieren.
Solvensassistierte Umsetzungen von MnCl2 mit 1,2,4-1H-Triazol (TzH) unter Zugabe von Hilfsbasen resultierten unter anderem in der Bildung der dreidimensionalen Koordinationspolymere 3∞[MnCl(Tz)(TzH)] und 3∞{[Mn5Cl3(Tz)7(TzH)2]}2·NEt3HCl.
Die Untersuchung von Struktur-Eigenschafts-Korrelationen erfolgte systematisch an ausgewählten Verbindungen hinsichtlich ihrer dielektrischen Eigenschaften. Dabei wurden die Einflüsse intra- und intermolekularer Wechselwirkungen auf die strukturelle Rigidität und die daraus folgenden Polarisierbarkeitseigenschaften analysiert und miteinander verglichen. Die gemessenen dielektrischen Konstanten erstrecken sich von Werten im high-k-Bereich für monomere Komplexe bis hin zu den nahezu frequenzunabhängigen low-k-Werten der eindimensionalen Koordinationspolymere 1∞[MnCl2(TzH)] und 1∞[MnCl2(BtzH)2] sowie der Komplexe [ZnCl2(TzH)2] und [ZnCl2(BtzH)2]·BtzH.
Eigenschaftsmodifikationen und -optimierungen der synthetisierten Verbindungen er-folgten zum einen durch Erzeugung flexibler Kunststofffilme, in welche die eindimensionalen Koordinationspolymere 1∞[MCl2(TzH)] (M = Fe und Mn) eingebettet wurden. Zum anderen konnten in mechanochemischen Umsetzungen superparamagnetische Kompositpartikel bestehend aus einem Fe3O4/SiO2-Kern und einer kristallinen [ZnCl2(TzH)2]-Hülle erhalten werden, die in situ aus den Edukten ZnCl2 und TzH synthetisiert wurde.
Die vorliegende Arbeit untersucht mit Rastertunnelmikroskopie (RTM) und -spektroskopie (RTS) die Korrelation von strukturellen, elektronischen und magnetischen Eigenschaften auf metallischen Oberflächen. Zuerst wird der spin-aufgespaltene Oberflächenzustand des Ni(111) analysiert. Anschließend geht der Fokus über auf dünne Eisenfilme, die auf Rh(001) gewachsen
wurden. Zuletzt wird die CePt$_5$/Pt(111)-Oberflächenlegierung untersucht. Nickel ist ein bekannter Ferromagnet und die (111)-Oberfläche war in der Vergangenheit schon mehrfach das Objekt theoretischer und experimenteller Studien. Trotz intensiver Bemühungen wurden inkonsistente Ergebnisse veröffentlicht und ein klares, konsistentes Bild ist noch nicht vorhanden. Aus diesem Grund wird die Ni(111)-Oberfläche mittels RTM und RTS erforscht, die den Zugang sowohl zu besetzten als auch unbesetzten Zuständen ermöglicht. Mit der Methode der Quasiteilcheninterferenz wird eine detailierte Beschreibung der Banddispersion erhalten. Die Austauschaufspaltung zwischen Minoritäts- und Majoritätsoberflächenzustands wird zu ∆E$_{ex}$ = (100 ± 8) meV ermittelt. Der Ansatzpunkt des Majoritätsbandes liegt bei E − E$_F$ = −(160 ± 8)meV und die effektive Masse beträgt m^* = +(0,14 ± 0,04)me. Des Weiteren liegt der Ansatzpunkt der Oberflächenresonanz der Majoritätladungsträger energetisch bei E−E$_F$ = −(235±5)meV mit einer effektiven Masse von m^* = +(0,36±0,05)m$_e$. Um unmissverständlich den dominierenden Spin-Kanal in der RTS zu identifizieren, wurden hexagonale Quantentröge durch reaktives Ionenätzen hergestellt und mit der Hilfe eines eindimensionalen Quantentrogmodells interpretiert. Die sechs Kanten eines Hexagons erscheinen unterschiedlich. Atomar aufgelöste Messungen zeigen, dass gegenüberliegende Kanten nicht nur eine unterschiedliche Struktur haben sondern auch unterschiedliche spektroskopische Eigenschaften, die durch einen alternierend auftauchenden oder abwesenden spektroskopischen Peak charakterisiert sind. Magnetische Messungen ergeben allerdings keine endgültigen Ergebnisse bezüglich des Ursprungs des Beobachtungen.
Das zweite experimentelle Kapitel dreht sich um dünne Eisenfilme, die auf eine saubere Rh(001)-Oberfläche aufgebracht und diese dann mit RTM, RTS und spin-polarisierter (SP- )RTM untersucht werden. Eine nahezu defektfreie Rh(001)-Oberfläche ist notwendig, um ein Wachstum der Eisenfilme mit wenigen Defekten zu erhalten. Dies ist relevant, um das magnetische Signal korrekt interpretieren zu können und den möglichen Einfluss von Adsorbaten auszuschließen. Die erste atomare Lage Fe ordnet sich antiferromagnetisch in einer c(2 × 2)-Struktur an mit der leichten Magnetisierungsachse senkrecht zur Probenoberfläche. Die zweite und dritte Lage verhält sich ferromagnetisch mit immer kleiner werdenden Domänen für steigende Bedeckung. Ab 3,5 atomaren Lagen kommt es vermutlich zu einer Änderung der leichten Magnetisierungsrichtung von vertikal zu horizontal zur Probenebene. Dies wird durch kleiner werdende Domänengrößen und den gleichzeitig breiter werdenden Domänenwänden signalisiert. Temperaturabhängige spin-polarisierter RTM erlaubt es die Curietemperatur der zweiten Lage auf 80 K zu schätzen. Zusätzlich wurde bei dieser Bedeckung eine periodische Modulation der lokalen Zustandsdichte gemessen, die mit steigender Periodizität auch auf der dritten und vierten Lage erscheint. Temperatur- und spannungsabhängige Messungen unterstützen eine Interpretation der Daten auf der Grundlage einer Ladungsdichtewelle. Ich zeige, dass die beiden für gewöhnlich konkurrierende Ordnungen (Ladungs- und magnetische Ordnung) koexistieren und sich gegenseitig beeinflussen, was theoretische Rechnungen, die in Zusammenarbeit mit F. P. Toldin und F. Assaad durchgeführt wurden, bestätigen können.
Im letzten Kapitel wurde die Oberflächenlegierung CePt$_5$/Pt(111) analysiert. Diese System bildet laut einer kürzlich erschienenen Veröffentlichung ein schweres Fermionengitter. Von der sauberen Pt(111)-Oberfläche ausgehend wurde die Oberflächenlegierung CePt$_5$/Pt(111) hergestellt. Die Dicke der Legierung (t in u.c.) lässt sich durch die aufgedampfte Menge an Cer variieren und die erzeugte Oberfläche wurde mit RTM und RTS für verschiedene Dicken unter- sucht. RTM-Bilder und LEED (engl.: low energy electron diffraction)-Daten zeigen konsistente Ergebnisse, die in Zusammenarbeit mit C. Praetorius analysiert wurden. Für Bedeckungen unter einer atomaren Lage Cer konnte keine geordnete Struktur mit dem RTM beobachtet werden. Für 2 u.c. wurde eine (2 × 2)-Rekonstruktion an der Oberfläche gemessen und für 3 u.c. CePt$_5$ wurde eine (3√3×3√3)R30◦-Rekonstruktion beobachtet. Der Übergang von 3 u.c. CePt5 zu 5 u.c. CePt$_5$ wurde untersucht. Mit Hilfe eines Strukturmodells schließe ich, dass es weder zu einer Rotation des atomaren Gitters noch zu einer Rotation des Übergitters kommt. Ab einer Bedeckung von 6 u.c. CePt5 erscheint eine weitere Komponente der CePt$_5$-Oberflächenlegierung, die keine Rekonstruktion mehr besitzt. Das atomare Gitter verläuft wieder entlang der kris- tallographischen Richtungen des Pt(111)-Kristalls und ist somit nicht mehr um 30^° gedreht. Für alle Bedeckungen wurden Spektroskopiekurven aufgenommen, die keinen Hinweis auf ein kohärentes schweres Fermionensystem geben. Eine Erklärung hierfür kommt aus einer LEED-IV Studie, die besagt, dass jede gemessene Oberfläche mit einer Pt(111)-Schicht terminiert ist. Das RTM ist sensitiv für die oberste Schicht und somit wäre der Effekt eines kohärenten schweren Fermionensystems nicht unbedingt messbar.
In der vorliegenden Arbeit werden die strukturellen und magnetischen Eigenschaften verschiedener 3d-Übergangsmetalloxidketten (TMO-Ketten) auf Ir(001) und Pt(001) untersucht. Diese weisen eine (3 × 1) Struktur mit periodisch angeordneten Ketten auf, die nur über die Sauerstoffbindung an das Substrat gekoppelt sind. Während die Struktur durch experimentelle und theoretische Untersuchungen bestätigt ist, liegen für die magnetischen Eigenschaften ausschließlich Rechnungen vor. Zur Überprüfung dieser theoretischen Vorhersagen wird die Methode der spinpolarisierten Rastertunnelmikroskopie (SP-STM) verwendet, die die Abbildung der magnetischen Ordnung mit atomarer Auflösung erlaubt.
Die Untersuchungen beginnen mit der Vorstellung der Ir(001) Oberfläche, die eine (5 × 1) Rekonstruktion aufweist. Eine Aufhebung dieser Rekonstruktion erreicht man durch das Heizen des Ir-Substrats in Sauerstoffatmosphäre unter Bildung einer (2 × 1) Sauerstoffrekonstruktion. Die Qualität der Oberfläche hängt dabei von der Wachstumstemperatur T und dem verwendeten Sauerstoffdruck pOx ab. Die bei T = 550°C und pOx = 1 × 10^−8 mbar hergestellte Sauerstoffrektonstruktion dient als Ausgangspunkt für die folgenden Präparationen von CoO2, FeO2 und MnO2-Ketten. Dazu wird jeweils eine drittel Monolage (ML) des Übergangsmetalls auf die Oberfläche des Substrates gedampft und die Probe unter Sauerstoffatmosphäre ein weiteres Mal geheizt. Auf diese Weise kann die (3 × 1) Struktur der bekannten Ketten bestätigt und die Gruppe der TMO-Ketten um die CrO2-Ketten erweitert werden.
In der einschlägigen Fachliteratur wurden Vorhersagen bezüglich der magnetischen Struktur der TMO-Ketten publiziert, wonach entlang und zwischen CoO2-Ketten eine ferromagnetische (FM) und für FeO2 und MnO2-Ketten eine antiferromagnetische (AFM-) Kopplung vorliegt.Während die Überprüfung dieser Vorhersagen mit SP-STM für CoO2 und CrO2-Ketten keine Hinweise auf magnetische Strukturen liefert, liegen bei FeO2 und MnO2-Ketten unterschiedliche magnetische Phasen vor. In der Tat kann
mit den experimentell gefundenen Einheitszellen die AFM-Kopplung entlang beider Ketten bestätigt werden. Im Gegensatz widersprechen die Kopplungen zwischen den Ketten den Berechnungen. Bei FeO2-Ketten liegt eine stabile FM Ordnung vor, die zu einer magnetischen (3 × 2) Einheitszelle mit einer leichten Magnetisierung in Richtung der Oberflächennormalen führt (out-of-plane). Die MnO2-Ketten weichen ebenfalls von der berechneten magnetischen kollinearen Ordnung zwischen benachbarten Ketten ab und zeigen eine chirale Struktur. Durch die Rotation der Mn-Spins um 120° in der Probenebenen (in-plane) entsteht eine magnetische (9 × 2) Einheitszelle, deren Periode durch neue DFT-Rechnungen bestätigt wird. Nach diesen Berechnungen handelt es sich um eine Spinspirale, die durch die Dzyaloshinskii-Moriya (DM-) Wechselwirkung bei einem Energiegewinn von 0,3 meV pro Mn-Atom gegenüber den kollinearen FM Zustand stabilisiert wird. Diese wird ähnlich wie bei bereits publizierten Clustern und Adatomen auf Pt(111) durch die Rudermann-Kittel-Kasuya-Yosida (RKKY-) Wechselwirkung vermittelt und erklärt den experimentell gefundenen einheitlichen Drehsinn der Spiralen.
Die RKKY-Wechselwirkung zeigt eine starke Abhängigkeit von der Fermi-Oberfläche des Substrats. Im folgenden Kapitel werden deshalb mit TMO-Ketten auf Pt(001) die strukturellen und magnetischen Eigenschaften auf einem weiteren Substrat analysiert, wobei zum Zeitpunkt der Arbeit nur die Existenz der CoO2-Ketten aus der Literatur bekannt war. Vergleichbar mit Ir(001) besitzt auch Pt(001) eine rekonstruierte Oberfläche, die sich aber stabil gegenüber Oxidation zeigt. Dadurch muss die drittel ML des Übergangsmetalls direkt auf die Rekonstruktion aufgedampft werden. Das Wachstum des Übergangsmetalls ist dabei von der Temperatur des Substrats abhängig und beeinflusst
das Ergebnis der nachfolgenden Oxidation. Diese erfolgt analog zum Wachstum der Ketten auf Ir(001) durch das Heizen der Probe in Sauerstoffatmosphäre und resultiert nur für das Aufdampfen des Übergangsmetalls auf kalte Pt(001) Oberflächen in Ketten mit der Periode von 3aPt. Auf diese Weise kann nicht nur die (3 × 1) Struktur der CoO2-Ketten bestätigt werden, sondern auch durch atomare Auflösung die Gruppe der TMO-Ketten um MnO2-Ketten auf Pt(001) erweitert werden. Im Gegensatz dazu sind die nicht magnetischen Messungen im Fall von Fe nicht eindeutig. Zwar liegen
auch hier Ketten im Abstand des dreifachen Pt Gittervektors vor, trotzdem ist die (3 × 1) Struktur nicht nachweisbar. Dies liegt an einer Korrugation mit einer Periode von 2aPt entlang der Ketten, was ein Hinweis auf eine Peierls Instabilität sein kann.
Entsprechend dem Vorgehen für Ir(001) werden für die TMO-Ketten auf Pt(001) SP-STM Messungen durchgeführt und die Vorhersage einer AFM-Kopplung für CoO2-Ketten überprüft. Auch hier können, wie im Fall von CoO2-Ketten und im Widerspruch zur Vorhersage, für beide Polarisationsrichtungen der Spitze keine magnetischen Strukturen gefunden werden. Darüber hinaus verhalten sich die MnO2-Ketten auf Pt(001) mit ihrer chiralen magnetischen Struktur ähnlich zu denen auf Ir(001). Dies bestätigt die Annahme einer indirekten DM-Wechselwirkung, wobei durch die 72° Rotation der Mn-Spins eine längere Periode der zykloidalen Spinspirale festgestellt wird. Die Erklärung dafür liegt in der Abhängigkeit der RKKY-Wechselwirkung vom Fermi-Wellenvektor des Substrats, während sich die DM-Wechselwirkung beim Übergang von Ir zu Pt nur wenig ändert.
Time-resolved spectroscopy allows for analyzing light-induced energy conversion and
chromophore–chromophore interactions in molecular systems, which is a prerequisite in
the design of new materials and for improving the efficiency of opto-electronic devices.
To elucidate photo-induced dynamics of complex molecular systems, transient absorption
(TA) and coherent two-dimensional (2D) spectroscopy were employed and combined
with additional experimental techniques, theoretical approaches, and simulation models
in this work.
A systematic series of merocyanines, synthetically varied in the number of chromophores
and subsitution pattern, attached to a benzene unit was investigated in cooperation with
the group of Prof. Dr. Frank Würthner at the University of Würzburg. The global analysis
of several TA experiments, and additional coherent 2D spectroscopy experiments, provided
the basis to elaborate a relaxation scheme which was applicable for all merocyanine
systems under investigation. This relaxation scheme is based on a double minimum on the
excited-state potential energy surface. One of these minima is assigned to an intramolecular
charge-transfer state which is stabilized in the bis- and tris-chromophoric dyes by
chromphore–chromophore interactions, resulting in an increase in excited-state lifetime.
Electro-optical absorption and density functional theory (DFT) calculations revealed a
preferential chromophore orientation which compensates most of the dipole moment of
the individual chromophores. Based on this structural assignment the conformationdependent
exciton energy splitting was calculated. The linear absorption spectra of the
multi-chromophoric merocyanines could be described by a combination of monomeric and
excitonic spectra.
Subsequently, a structurally complex polymeric squaraine dye was studied in collaboration
with the research groups of Prof. Dr. Christoph Lambert and Prof. Dr. Roland Mitric
at the University of Würzburg. This polymer consists of a superposition of zigzag and
helix structures depending on the solvent. High-level DFT calculations confirmed the previous
assignment that zigzag and helix structures can be treated as J- and H-aggregates,
respectively. TA experiments revealed that in dependence on the solvent as well as the
excitation energy, ultrafast energy transfer within the squaraine polymer proceeds from
initially excited helix segments to zigzag segments or vice versa. Additionally, 2D spectroscopy
confirmed the observed sub-picosecond dynamics. In contrast to other conjugated
polymers such as MEH-PPV, which is investigated in the last chapter, ultrafast
energy transfer in squaraine polymers is based on the matching of the density of states
between donor and acceptor segments due to the small reorganization energy in cyanine-like
chromophores.
Finally, the photo-induced dynamics of the aggregated phase of the conjugated polymer
MEH-PPV was investigated in cooperation with the group of Prof. Dr. Anna Köhler at the University of Bayreuth. Our collaborators had previously described the aggregation of MEH-PPV upon cooling by the formation of so-called HJ-aggregates based on exciton
theory. By TA measurements and by making use of an affiliated band analysis distinct
relaxation processes in the excited state and to the ground state were discriminated. By
employing 2D spectroscopy the energy transfer between different conjugated segments
within the aggregated polymer was resolved. The initial exciton relaxation within the
aggregated phase indicates a low exciton mobility, in contrast to the subsequent energy
transfer between different chromophores within several picoseconds.
This work contributes by its systematic study of structure-dependent relaxation dynamics
to the basic understanding of the structure-function relationship within complex
molecular systems. The investigated molecular classes display a high potential to increase
efficiencies of opto-electronic devices, e.g., organic solar cells, by the selective choice of
the molecular morphology.
This publication is dedicated to investigate strong light-matter coupling with excitons in 2D materials. This work starts with an introduction to the fundamentals of excitons in 2D materials, microcavities and strong coupling in chapter 2. The experimental methods used in this work are explained in detail in chapter 3. Chapter 4 covers basic investigations that help to select appropriate materials and cavities for the following experiments. In chapter 5, results on the formation of exciton-polaritons in various materials and cavity designs are presented. Chapter 6 covers studies on the spin-valley properties of exciton-polaritons including effects such as valley polarization, valley coherence and valley-dependent polariton propagation. Finally, the formation of hybrid-polaritons and their condensation are presented in chapter 7.
Nanoelectronics is an essential technology for down-scaling beyond the limit of silicon-based electronics. Single-Wall Carbon Nanotubes (SWNT) are semiconducting components that exhibit a large variety of properties that make them usable for sensing, telecommunication, or computational tasks. Due to their high surface to volume ratio, carbon nanotubes are strongly affected by molecular adsorptions, and almost all properties depend on surface adsorption. SWNT with smaller diameters (0.7-0.9nm) show a stronger sensitivity to surface effects. An optimized synthesis route was developed to produce these nanotubes directly. They were produced with a clean surface, high quality, and large lengths of 2 μ m. The results complement previous studies on larger diameters (0.9-1.4nm). They allow performing statistically significant assumptions for a perfect nanotube, which is selected from a subset of nanotubes with good emission intensity, and high mechanical durability. The adsorption of molecules on the surface of carbon nanotubes influences the motion and binding strength of chargeseparated states in this system. To gain insight into the adsorption processes on the surface with a minimum of concurrent overlapping effects, a microscopic setup, and a measurement technique were developed. The system was estimated to exhibit excellent properties like long exciton diffusion lengths (>350nm), and big exciton sizes (8.5(5)nm), which was substantiated by a simulation. We studied the adsorption processes at the surface of Single-Wall Carbon Nanotubes for molecules in the gas phase, solvent molecules, and surfactant molecules. The experiments were all carried out on suspended individualized carbon nanotubes on a silicon wafer substrate. The experiments in the gas-phase showed that the excitonic emission energy and intensity experiences a rapid blue shift during observation. This shift was associated with the spontaneous desorption of large clusters of gaseous molecules caused by laser heat up. The measurement of this desorption was essential for creating a reference to an initially clean surface and allows us to perform a comparison with previous measurements on this topic. Furthermore, the adsorption of hydrogen on the nanotube surface at high temperatures was investigated. It was found that a new emission mode arises slightly red-shifted to the excitonic emission in these systems. The new signal is almost equally strong as the main excitonic peak and was associated with the brightening of dark excitons at sp3-defects through a K-phonon assisted pathway. The finding is useful for the direct synthesis of spintronic devices as these systems are known to act as single-photon emitters. The suspended nanotubes were further studied to estimate the effect of solvent adsorption on the excitonic states during nanotube dispersion for each nanotube individually. A significant quantum yield loss is observable for hexane and acetonitrile, while the emission intensity was found to be the strongest in toluene. The reference to a clean surface allowed us to estimate the exact influence of the dielectric environment of adsorbing solvents on the excitonic emission energy. Solvent adsorption was found to lead to an energy shift that is almost twice as high as suggested in previous studies. The amount of this energy shift, however, was comparably similar for all solvents, which suggests that the influence of the distinct dielectric constant in the outer environment less significantly influences the energy shift than previously thought. An interesting phenomenon was found when using acetonitrile as a solvent, which leads to greatly enhanced emission properties. The emission is more than twice as high as in the same air-suspended nanotubes, which suggests a process that depends on the laser intensity. In this study, it was reasonably explained how an energy down-conversion is possible through the coupling of the excitonic states with solvent vibrations. The strength of this coupling, however, also suggests adsorptions to the inside of the tubular nanotube structure leading to a coupled vibration of linear acetonitrile molecules that are adsorbed to the inner surface. The findings are important for the field of nanofluidics and provide an excellent system for efficient energy down-conversion in the transmission window of biological tissue. Having separated the pure effect of solvent adsorption allowed us to study the undisturbed molecular adsorption of polymers in these systems. The addition of polyfluorene polymer leads to a slow but stepwise intensity increase. The intensity increase is overlapping with a concurrent process that leads to an intensity decrease. Unfortunately, observing the stepwise process has a low spacial resolution of only 100-250nm, which is in the range of the exciton diffusion length in these systems and hinders detailed analysis. The two competing and overlapping processes processes are considered to originate from slow π-stacking and fast side-chain binding. Insights into this process are essential for selecting suitably formed polymers. However, the findings also emphasize the importance of solvent selection during nanotube dispersion since solvent effects were proven to be far more critical on the quantum yield in these systems. These measurements can shed light on the ongoing debate on polymers adsorption during nanotube individualization and allow us to direct the discussion more towards the selection of suitable solvents. This work provides fundamental insights into the adsorption of various molecules on the surface of individually observed suspended Single-Wall Carbon Nanotubes. It allows observing the adsorption of individual molecules below the optical limit in the solid, liquid, and gas phases. Nanotubes are able to act as sensing material for detecting changes in their direct surrounding. These fundamental findings are also crucial for increasing the quantum yield of solvent-dispersed nanotubes. They can provide better light-harvesting systems for microscopy in biological tissue and set the base for a more efficient telecommunication infrastructure with nano-scale spintronics devices and lasing components. The newly discovered solvent alignment in the nanotube surrounding can potentially also be used for supercapacitors that are needed for caching the calculation results in computational devices that use polymer wrapped nanotubes as transistors. Although fundamental, these studies develop a strategy to enlighten this room that is barely only visible at the bottom of the nano-scale.
Since the first CubeSat launch in 2003, the hardware and software complexity of the nanosatellites was continuosly increasing.
To keep up with the continuously increasing mission complexity and to retain the primary advantages of a CubeSat mission, a new approach for the overall space and ground software architecture and protocol configuration is elaborated in this work.
The aim of this thesis is to propose a uniform software and protocol architecture as a basis for software development, test, simulation and operation of multiple pico-/nanosatellites based on ultra-low power components.
In contrast to single-CubeSat missions, current and upcoming nanosatellite formation missions require faster and more straightforward development, pre-flight testing and calibration procedures as well as simultaneous operation of multiple satellites.
A dynamic and decentral Compass mission network was established in multiple active CubeSat missions, consisting of uniformly accessible nodes.
Compass middleware was elaborated to unify the communication and functional interfaces between all involved mission-related software and hardware components.
All systems can access each other via dynamic routes to perform service-based M2M communication.
With the proposed model-based communication approach, all states, abilities and functionalities of a system are accessed in a uniform way.
The Tiny scripting language was designed to allow dynamic code execution on ultra-low power components as a basis for constraint-based in-orbit scheduler and experiment execution.
The implemented Compass Operations front-end enables far-reaching monitoring and control capabilities of all ground and space systems.
Its integrated constraint-based operations task scheduler allows the recording of complex satellite operations, which are conducted automatically during the overpasses.
The outcome of this thesis became an enabling technology for UWE-3, UWE-4 and NetSat CubeSat missions.
A complete simulation system is proposed that can be used as an educational tool by physicians in training basic skills of Minimally Invasive Vascular Interventions. In the first part, a surface model is developed to assemble arteries having a planar segmentation. It is based on Sweep Surfaces and can be extended to T- and Y-like bifurcations. A continuous force vector field is described, representing the interaction between the catheter and the surface. The computation time of the force field is almost unaffected when the resolution of the artery is increased.
The mechanical properties of arteries play an essential role in the study of the circulatory system dynamics, which has been becoming increasingly important in the treatment of cardiovascular diseases. In Virtual Reality Simulators, it is crucial to have a tissue model that responds in real time. In this work, the arteries are discretized by a two dimensional mesh and the nodes are connected by three kinds of linear springs. Three tissue layers (Intima, Media, Adventitia) are considered and, starting from the stretch-energy density, some of the elasticity tensor components are calculated. The physical model linearizes and homogenizes the material response, but it still contemplates the geometric nonlinearity. In general, if the arterial stretch varies by 1% or less, then the agreement between the linear and nonlinear models is trustworthy.
In the last part, the physical model of the wire proposed by Konings is improved. As a result, a simpler and more stable method is obtained to calculate the equilibrium configuration of the wire. In addition, a geometrical method is developed to perform relaxations. It is particularly useful when the wire is hindered in the physical method because of the boundary conditions. The physical and the geometrical methods are merged, resulting in efficient relaxations. Tests show that the shape of the virtual wire agrees with the experiment. The proposed algorithm allows real-time executions and the hardware to assemble the simulator has a low cost.
Almost once a week broadcasts about earthquakes, hurricanes, tsunamis, or forest fires are filling the news. While oneself feels it is hard to watch such news, it is even harder for rescue troops to enter such areas. They need some skills to get a quick overview of the devastated area and find victims. Time is ticking, since the chance for survival shrinks the longer it takes till help is available. To coordinate the teams efficiently, all information needs to be collected at the command center. Therefore, teams investigate the destroyed houses and hollow spaces for victims. Doing so, they never can be sure that the building will not fully collapse while they
are inside. Here, rescue robots are welcome helpers, as they are replaceable and make work more secure. Unfortunately, rescue robots are not usable off-the-shelf, yet.
There is no doubt, that such a robot has to fulfil essential requirements to successfully accomplish a rescue mission. Apart from the mechanical requirements it has to be able to build
a 3D map of the environment. This is essential to navigate through rough terrain and fulfil manipulation tasks (e.g. open doors). To build a map and gather environmental information, robots are equipped with multiple sensors. Since laser scanners produce precise measurements and support a wide scanning range, they are common visual sensors utilized for mapping.
Unfortunately, they produce erroneous measurements when scanning transparent (e.g. glass, transparent plastic) or specular reflective objects (e.g. mirror, shiny metal). It is understood that such objects can be everywhere and a pre-manipulation to prevent their influences is impossible. Using additional sensors also bear risks.
The problem is that these objects are occasionally visible, based on the incident angle of the laser beam, the surface, and the type of object. Hence, for transparent objects, measurements might result from the object surface or objects behind it. For specular reflective objects, measurements might result from the object surface or a mirrored object. These mirrored objects are illustrated behind the surface which is wrong. To obtain a precise map, the surfaces need to
be recognised and mapped reliably. Otherwise, the robot navigates into it and crashes. Further, points behind the surface should be identified and treated based on the object type. Points behind a transparent surface should remain as they represent real objects. In contrast, Points behind a specular reflective surface should be erased. To do so, the object type needs to be classified. Unfortunately, none of the current approaches is capable to fulfil these requirements.
Therefore, the following thesis addresses this problem to detect transparent and specular reflective objects and to identify their influences. To give the reader a start up, the first chapters
describe: the theoretical background concerning propagation of light; sensor systems applied for range measurements; mapping approaches used in this work; and the state-of-the-art concerning detection and identification of transparent and specular reflective objects. Afterwards, the Reflection-Identification-Approach, which is the core of subject thesis is presented. It describes 2D and a 3D implementation to detect and classify such objects. Both are available as ROS-nodes. In the next chapter, various experiments demonstrate the applicability and reliability of these nodes. It proves that transparent and specular reflective objects can be detected and classified. Therefore, a Pre- and Post-Filter module is required in 2D. In 3D, classification is possible solely with the Pre-Filter. This is due to the higher amount of measurements. An
example shows that an updatable mapping module allows the robot navigation to rely on refined maps. Otherwise, two individual maps are build which require a fusion afterwards. Finally, the
last chapter summarizes the results and proposes suggestions for future work.
The focus of the work concerned the development of a series of MRI techniques that were specifically designed and optimized to obtain quantitative and spatially resolved information about characteristic parameters of the lung. Three image acquisition techniques were developed. Each of them allows to quantify a different parameter of relevant diagnostic interest for the lung, as further described below:
1) The blood volume fraction, which represents the amount of lung water in the intravascular compartment expressed as a fraction of the total lung water. This parameter is related to lung perfusion.
2) The magnetization relaxation time T\(_2\) und T*\(_2\)
, which represents the component of T\(_2\) associated with the diffusion of water molecules through the internal magnetic field gradients of the lung. Because the amplitude of these internal gradients is related to the alveolar size, T\(_2\) und T*\(_2\) can be used to obtain information about the microstructure of the lung.
3) The broadening of the NMR spectral line of the lung. This parameter depends on lung inflation and on the concentration of oxygen in the alveoli. For this reason, the spectral line broadening can be regarded as a fingerprint for lung inflation; furthermore, in combination with oxygen enhancement, it provides a measure for lung ventilation.
Accurate crop monitoring in response to climate change at a regional or field scale
plays a significant role in developing agricultural policies, improving food security,
forecasting, and analysing global trade trends. Climate change is expected to
significantly impact agriculture, with shifts in temperature, precipitation patterns, and
extreme weather events negatively affecting crop yields, soil fertility, water availability,
biodiversity, and crop growing conditions. Remote sensing (RS) can provide valuable
information combined with crop growth models (CGMs) for yield assessment by
monitoring crop development, detecting crop changes, and assessing the impact of
climate change on crop yields. This dissertation aims to investigate the potential of RS
data on modelling long-term crop yields of winter wheat (WW) and oil seed rape (OSR)
for the Free State of Bavaria (70,550 km2
), Germany. The first chapter of the dissertation
describes the reasons favouring the importance of accurate crop yield predictions for
achieving sustainability in agriculture. Chapter second explores the accuracy
assessment of the synthetic RS data by fusing NDVIs of two high spatial resolution data
(high pair) (Landsat (30 m, 16-days; L) and Sentinel-2 (10 m, 5–6 days; S), with four low
spatial resolution data (low pair) (MOD13Q1 (250 m, 16-days), MCD43A4 (500 m, one
day), MOD09GQ (250 m, one-day), and MOD09Q1 (250 m, 8-days)) using the spatial
and temporal adaptive reflectance fusion model (STARFM), which fills regions' cloud
or shadow gaps without losing spatial information. The chapter finds that both L-MOD13Q1 (R2 = 0.62, RMSE = 0.11) and S-MOD13Q1 (R2 = 0.68, RMSE = 0.13) are more
suitable for agricultural monitoring than the other synthetic products fused. Chapter
third explores the ability of the synthetic spatiotemporal datasets (obtained in chapter
2) to accurately map and monitor crop yields of WW and OSR at a regional scale. The
chapter investigates and discusses the optimal spatial (10 m, 30 m, or 250 m), temporal
(8 or 16-day) and CGMs (World Food Studies (WOFOST), and the semi-empiric light
use efficiency approach (LUE)) for accurate crop yield estimations of both crop types.
Chapter third observes that the observations of high temporal resolution (8-day)
products of both S-MOD13Q1 and L-MOD13Q1 play a significant role in accurately
measuring the yield of WW and OSR. The chapter investigates that the simple light use
efficiency (LUE) model (R2 = 0.77 and relative RMSE (RRMSE) = 8.17%) that required fewer input parameters to simulate crop yield is highly accurate, reliable, and more
precise than the complex WOFOST model (R2 = 0.66 and RRMSE = 11.35%) with higher
input parameters. Chapter four researches the relationship of spatiotemporal fusion
modelling using STRAFM on crop yield prediction for WW and OSR using the LUE
model for Bavaria from 2001 to 2019. The chapter states the high positive correlation
coefficient (R) = 0.81 and R = 0.77 between the yearly R2 of synthetic accuracy and
modelled yield accuracy for WW and OSR from 2001 to 2019, respectively. The chapter
analyses the impact of climate variables on crop yield predictions by observing an
increase in R2
(0.79 (WW)/0.86 (OSR)) and a decrease in RMSE (4.51/2.57 dt/ha) when
the climate effect is included in the model. The fifth chapter suggests that the coupling
of the LUE model to the random forest (RF) model can further reduce the relative root
mean square error (RRMSE) from -8% (WW) and -1.6% (OSR) and increase the R2 by
14.3% (for both WW and OSR), compared to results just relying on LUE. The same
chapter concludes that satellite-based crop biomass, solar radiation, and temperature
are the most influential variables in the yield prediction of both crop types. Chapter six
attempts to discuss both pros and cons of RS technology while analysing the impact of
land use diversity on crop-modelled biomass of WW and OSR. The chapter finds that
the modelled biomass of both crops is positively impacted by land use diversity to the
radius of 450 (Shannon Diversity Index ~0.75) and 1050 m (~0.75), respectively. The
chapter also discusses the future implications by stating that including some dependent
factors (such as the management practices used, soil health, pest management, and
pollinators) could improve the relationship of RS-modelled crop yields with
biodiversity. Lastly, chapter seven discusses testing the scope of new sensors such as
unmanned aerial vehicles, hyperspectral sensors, or Sentinel-1 SAR in RS for achieving
accurate crop yield predictions for precision farming. In addition, the chapter highlights
the significance of artificial intelligence (AI) or deep learning (DL) in obtaining higher
crop yield accuracies.
Accurate crop monitoring in response to climate change at a regional or field scale plays a significant role in developing agricultural policies, improving food security, forecasting, and analysing global trade trends. Climate change is expected to significantly impact agriculture, with shifts in temperature, precipitation patterns, and extreme weather events negatively affecting crop yields, soil fertility, water availability, biodiversity, and crop growing conditions. Remote sensing (RS) can provide valuable information combined with crop growth models (CGMs) for yield assessment by monitoring crop development, detecting crop changes, and assessing the impact of climate change on crop yields. This dissertation aims to investigate the potential of RS data on modelling long-term crop yields of winter wheat (WW) and oil seed rape (OSR) for the Free State of Bavaria (70,550 km2), Germany. The first chapter of the dissertation describes the reasons favouring the importance of accurate crop yield predictions for achieving sustainability in agriculture. Chapter second explores the accuracy assessment of the synthetic RS data by fusing NDVIs of two high spatial resolution data (high pair) (Landsat (30 m, 16-days; L) and Sentinel-2 (10 m, 5–6 days; S), with four low spatial resolution data (low pair) (MOD13Q1 (250 m, 16-days), MCD43A4 (500 m, one day), MOD09GQ (250 m, one-day), and MOD09Q1 (250 m, 8-days)) using the spatial and temporal adaptive reflectance fusion model (STARFM), which fills regions' cloud or shadow gaps without losing spatial information. The chapter finds that both L-MOD13Q1 (R2 = 0.62, RMSE = 0.11) and S-MOD13Q1 (R2 = 0.68, RMSE = 0.13) are more suitable for agricultural monitoring than the other synthetic products fused. Chapter third explores the ability of the synthetic spatiotemporal datasets (obtained in chapter 2) to accurately map and monitor crop yields of WW and OSR at a regional scale. The chapter investigates and discusses the optimal spatial (10 m, 30 m, or 250 m), temporal (8 or 16-day) and CGMs (World Food Studies (WOFOST), and the semi-empiric light use efficiency approach (LUE)) for accurate crop yield estimations of both crop types. Chapter third observes that the observations of high temporal resolution (8-day) products of both S-MOD13Q1 and L-MOD13Q1 play a significant role in accurately measuring the yield of WW and OSR. The chapter investigates that the simple light use efficiency (LUE) model (R2 = 0.77 and relative RMSE (RRMSE) = 8.17%) that required fewer input parameters to simulate crop yield is highly accurate, reliable, and more precise than the complex WOFOST model (R2 = 0.66 and RRMSE = 11.35%) with higher input parameters. Chapter four researches the relationship of spatiotemporal fusion modelling using STRAFM on crop yield prediction for WW and OSR using the LUE model for Bavaria from 2001 to 2019. The chapter states the high positive correlation coefficient (R) = 0.81 and R = 0.77 between the yearly R2 of synthetic accuracy and modelled yield accuracy for WW and OSR from 2001 to 2019, respectively. The chapter analyses the impact of climate variables on crop yield predictions by observing an increase in R2 (0.79 (WW)/0.86 (OSR)) and a decrease in RMSE (4.51/2.57 dt/ha) when the climate effect is included in the model. The fifth chapter suggests that the coupling of the LUE model to the random forest (RF) model can further reduce the relative root mean square error (RRMSE) from -8% (WW) and -1.6% (OSR) and increase the R2 by 14.3% (for both WW and OSR), compared to results just relying on LUE. The same chapter concludes that satellite-based crop biomass, solar radiation, and temperature are the most influential variables in the yield prediction of both crop types. Chapter six attempts to discuss both pros and cons of RS technology while analysing the impact of land use diversity on crop-modelled biomass of WW and OSR. The chapter finds that the modelled biomass of both crops is positively impacted by land use diversity to the radius of 450 (Shannon Diversity Index ~0.75) and 1050 m (~0.75), respectively. The chapter also discusses the future implications by stating that including some dependent factors (such as the management practices used, soil health, pest management, and pollinators) could improve the relationship of RS-modelled crop yields with biodiversity. Lastly, chapter seven discusses testing the scope of new sensors such as unmanned aerial vehicles, hyperspectral sensors, or Sentinel-1 SAR in RS for achieving accurate crop yield predictions for precision farming. In addition, the chapter highlights the significance of artificial intelligence (AI) or deep learning (DL) in obtaining higher crop yield accuracies.
The aim of this thesis was the preparation of a biomaterial ink for the fabrication of chemically crosslinked hydrogel scaffolds with low micron sized features using melt electrowriting (MEW). By developing a functional polymeric material based on 2-alkyl-2-oxazine (Ozi) and 2-alkyl-2-oxazoline (Ox) homo- and copolymers in combination with Diels-Alder (DA)-based dynamic covalent chemistry, it was possible to achieve this goal. This marks an important step for the additive manufacturing technique melt electrowriting (MEW), as soft and hydrophilic structures become available for the first time. The use of dynamic covalent chemistry is a very elegant and efficient method for consolidating covalent crosslinking with melt processing. It was shown that the high chemical versatility of the Ox and Ozi chemistry offers great potential to control the processing parameters. The established platform offers straight forward potential for modification with biological cues and fluorescent markers. This is essential for advanced biological applications. The physical properties of the material are readily controlled and the potential for 4D-printing was highlighted as well. The developed hydrogel architectures are excellent candidates for 3D cell culture applications. In particular, the low internal strength of some of the scaffolds in combination with the tendency of such constructs to collapse into thin strings could be interesting for the cultivation of muscle or nerve cells. In this context it was also possible to show that MEW printed hydrogel scaffolds can withstand the aspiration and ejection through a cannula. This allows the application as scaffolds for the minimally invasive delivery of implants or functional tissue equivalent structures to various locations in the human body.
This thesis will outline studies performed on the fluorescence dynamics of phenyl-benzo-
[c]-tetrazolo-cinnolium chloride (PTC) in alcoholic solutions with varying viscosity using
time-resolved fluoro-spectroscopic methods. Furthermore, the properties of femtosecond
Laguerre-Gaussian (LG) laser pulses will be investigated with respect to their temporal
and spatial features and an approach will be developed to measure and control the spatial
intensity distribution on the time scale of the pulse.
Tetrazolium salts are widely used in biological assays for their low oxidation and reduction
thresholds and spectroscopic properties. However, a neglected feature in these applications
is the advantage that detection of emitted light has over the determination of the
absorbance. To corroborate this, PTC as one of the few known fluorescent tetrazolium
salts was investigated with regard to its luminescent features. Steady-state spectroscopy
revealed how PTC can be formed by a photoreaction from 2,3,5-triphenyl-tetrazolium
chloride (TTC) and how the fluorescence quantum yield behaved in alcoholic solvents
with different viscosity. In the same array of solvents time correlated single photon counting
(TCSPC) measurements were performed and the fluorescence decay was investigated.
Global analysis of the results revealed different dynamics in the different solvents, but
although the main emission constant did change with the solvent, taking the fluorescence
quantum yield into consideration resulted in an independence of the radiative rate from
the solvent. The non-radiative rate, however, was highly solvent dependent and responsible
for the observed solvent-related changes in the fluorescence dynamics. Further studies
with the increased time resolution of femtosecond fluorescence upconversion revealed an
independence of the main emission constant from the excitation energy, however the dynamics
of the cooling processes prior to emission were prolonged for higher excitation
energy. This led to a conceivable photoreaction scheme with one emissive state with a
competing non-radiative relaxation channel, that may involve an intermediate state.
LG laser beams and their properties have seen a lot of scientific attention over the past two
decades. Also in the context of new techniques pushing the limit of technology further to
explore new phenomena, it is essential to understand the features of this beam class and
check the consistency of the findings with theoretical knowledge. The mode conversion
of a Hermite-Gaussian (HG) mode into a LG mode with the help of a spiral phase plate
(SPP) was investigated with respect to its space-time characteristics. It was found that
femtosecond LG and HG pulses of a given temporal duration share the same spectrum
and can be characterized using the same well-established methods. The mode conversion
proved to only produce the desired LG mode with its characteristic orbital angular momentum
(OAM), that is conserved after frequency doubling the pulse. Furthermore, it
was demonstrated that temporal shaping of the HG pulse does not alter the result of its
mode-conversion, as three completely different temporal pulse shapes produced the same
LG mode. Further attention was given to the sum frequency generation of fs LG beams
and dynamics of the interference of a HG and a LG pulse. It was found that if both are
chirped with inverse signs the spatial intensity distribution does rotate around the beam
axis on the time scale of the pulse. A strategy was found that would enable a measurement
of these dynamics by upconversion of the interference with a third gate pulse. The results
of which are discussed theoretically and an approach of an experimental realization had
been made. The simulated findings had only been reproduced to a limited extend due to
experimental limitations, especially the interferometric stability of the setup.
Miniaturized satellites on a nanosatellite scale below 10kg of total mass contribute most to the number of launched satellites into Low Earth Orbit today. This results from the potential to design, integrate and launch these space missions within months at very low costs. In the past decade, the reliability in the fields of system design, communication, and attitude control have matured to allow for competitive applications in Earth observation, communication services, and science missions. The capability of orbit control is an important next step in this development, enabling operators to adjust orbits according to current mission needs and small satellite formation flight, which promotes new measurements in various fields of space science. Moreover, this ability makes missions with altitudes above the ISS comply with planned regulations regarding collision avoidance maneuvering.
This dissertation presents the successful implementation of orbit control capabilities on the pico-satellite class for the first time. This pioneering achievement is demonstrated on the 1U CubeSat UWE–4. A focus is on the integration and operation of an electric propulsion system on miniaturized satellites. Besides limitations in size, mass, and power of a pico-satellite, the choice of a suitable electric propulsion system was driven by electromagnetic cleanliness and the use as a combined attitude and orbit control system. Moreover, the integration of the propulsion system leaves the valuable space at the outer faces of the CubeSat structure unoccupied for future use by payloads. The used NanoFEEP propulsion system consists of four thruster heads, two neutralizers and two Power Processing Units (PPUs).
The thrusters can be used continuously for 50 minutes per orbit after the liquefaction of the propellant by dedicated heaters. The power consumption of a PPU with one activated thruster, its heater and a neutralizer at emitter current levels of 30-60μA or thrust levels of 2.6-5.5μN, respectively, is in the range of 430-1050mW. Two thruster heads were activated within the scope of in-orbit experiments. The thrust direction was determined using a novel algorithm within 15.7° and 13.2° of the mounting direction. Despite limited controllability of the remaining thrusters, thrust vector pointing was achieved using the magnetic actuators of the Attitude and Orbit Control System.
In mid 2020, several orbit control maneuvers changed the altitude of UWE–4, a first for pico-satellites. During the orbit lowering scenario with a duration of ten days, a single thruster head was activated in 78 orbits for 5:40 minutes per orbit. This resulted in a reduction of the orbit altitude by about 98.3m and applied a Delta v of 5.4cm/s to UWE–4. The same thruster was activated in another experiment during 44 orbits within five days for an average duration of 7:00 minutes per orbit. The altitude of UWE–4 was increased by about 81.2m and a Delta v of 4.4cm/s was applied. Additionally, a collision avoidance maneuver was executed in July 2020, which increased the distance of closest approach to the object by more than 5000m.