TY  - THES
A1  - Ruppert, Simon
T1  - Einsatz der Raman-Spektroskopie zur Analyse der mitochondrialen Funktion im Ischämie-Reperfusions-Schaden des Herzens
T1  - Use of Raman spectroscopy for analyzing mitochondrial function in ischemia reperfusion injury of the heart
N2  - Der myokardiale Ischämie-Reperfusions-Schaden (IR) hat eine hohe Relevanz in der Kardiologie und Herzchirurgie. Trotz intensiver Forschung ist es bislang nicht gelungen, eine
effektive Therapie des IR in den klinischen Alltag zu implementieren.
Mitochondrien spielen im IR eine wichtige Rolle. Die Raman-Spektroskopie mit Laserquellen von 785 nm Wellenlänge erlaubt die nicht-invasive Analyse pathophysiologischer Prozesse in vitro in Echtzeit. Daher eignet sich die Raman-spektroskopische Analyse von Mitochondrien möglicherweise dazu, notwendige neue Einblicke in die Pathophysiologie des myokardialen IR zu gewinnen.
Die vorliegende Arbeit analysierte die mitochondriale Funktion von subsarkolemmalen Mitochondrien im IR mit Hilfe bekannter Methoden. Anschließend erfolgte ein Vergleich der etablierten Methode „Clark-Elektrode“ mit der neu etablierten Raman-Spektroskopie zur Analyse der mitochondrialen Funktion im IR.
N2  - Myocardial ischemia reperfusion injury (IR) has a high relevance in cardiology and heart surgery. Despite intense research, an effective treatment of IR has to date not been implemented in clinical routine.
Mitochondria play an important role in IR. Raman spectroscopy with 785 nm laser wavelength permits the non-invasive analysis of pathophysiological processes in vitro and real-time. Therefore, Raman-spectroscopic analysis of mitochondria might be able to create new necessary insights in the pathophysiology of myocardial ischemia reperfusion injury.
This work analysed mitochondrial function of subsarcolemmal mitochondria in IR using well-established methods. Afterwards, a comparison of the well-established method “Clark-Elektrode” with freshly established raman spectroscopy was performed to analyse the mitochondrial function in IR.
KW  - Ischämie
KW  - Reperfusion
KW  - Raman-Spektroskopie
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-179302
ER  - 
TY  - JOUR
A1  - Dech, Stefan
A1  - Holzwarth, Stefanie
A1  - Asam, Sarah
A1  - Andresen, Thorsten
A1  - Bachmann, Martin
A1  - Boettcher, Martin
A1  - Dietz, Andreas
A1  - Eisfelder, Christina
A1  - Frey, Corinne
A1  - Gesell, Gerhard
A1  - Gessner, Ursula
A1  - Hirner, Andreas
A1  - Hofmann, Matthias
A1  - Kirches, Grit
A1  - Klein, Doris
A1  - Klein, Igor
A1  - Kraus, Tanja
A1  - Krause, Detmar
A1  - Plank, Simon
A1  - Popp, Thomas
A1  - Reinermann, Sophie
A1  - Reiners, Philipp
A1  - Roessler, Sebastian
A1  - Ruppert, Thomas
A1  - Scherbachenko, Alexander
A1  - Vignesh, Ranjitha
A1  - Wolfmueller, Meinhard
A1  - Zwenzner, Hendrik
A1  - Kuenzer, Claudia
T1  - Potential and challenges of harmonizing 40 years of AVHRR data: the TIMELINE experience
JF  - Remote Sensing
N2  - Earth Observation satellite data allows for the monitoring of the surface of our planet at predefined intervals covering large areas. However, there is only one medium resolution sensor family in orbit that enables an observation time span of 40 and more years at a daily repeat interval. This is the AVHRR sensor family. If we want to investigate the long-term impacts of climate change on our environment, we can only do so based on data that remains available for several decades. If we then want to investigate processes with respect to climate change, we need very high temporal resolution enabling the generation of long-term time series and the derivation of related statistical parameters such as mean, variability, anomalies, and trends. The challenges to generating a well calibrated and harmonized 40-year-long time series based on AVHRR sensor data flown on 14 different platforms are enormous. However, only extremely thorough pre-processing and harmonization ensures that trends found in the data are real trends and not sensor-related (or other) artefacts. The generation of European-wide time series as a basis for the derivation of a multitude of parameters is therefore an extremely challenging task, the details of which are presented in this paper.
KW  - AVHRR
KW  - Earth Observation
KW  - harmonization
KW  - time series analysis
KW  - climate related trends
KW  - automatic processing
KW  - Europe
KW  - TIMELINE
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-246134
SN  - 2072-4292
VL  - 13
IS  - 18
ER  -