@techreport{SteigerFoltanPhilippetal., type = {Working Paper}, author = {Steiger, Tamara and Foltan, Maik and Philipp, Alois and M{\"u}ller, Thomas and Gruber, Michael Andreas and Bredthauer, Andre and Krenkel, Lars and Birkenmaier, Clemens and Lehle, Karla}, title = {Accumulations of von Willebrand factor within ECMO oxygenators: Potential indicator of coagulation abnormalities in critically ill patients?}, abstract = {Clot formation within membrane oxygenators (MOs) remains a critical problem during extracorporeal membrane oxygenation (ECMO). The composition of the clots—in particular, the presence of von Willebrand factor (vWF)—may be an indicator for prevalent nonphysiological flow conditions, foreign body reactions, or coagulation abnormalities in critically ill patients. Mats of interwoven gas exchange fibers from randomly collected MOs (PLS, Maquet, Rastatt, Germany) of 21 patients were stained with antibodies (anti-vWF and anti-P-selectin) and counterstained with 4′,6-diamidino-2-phenylindole. The extent of vWF-loading was correlated with patient and technical data. While 12 MOs showed low vWF-loadings, 9 MOs showed high vWF-loading with highest accumulations close to crossing points of adjacent gas fibers. The presence and the extent of vWF-fibers/"cobwebs," leukocytes, platelet-leukocyte aggregates (PLAs), and P-selectin-positive platelet aggregates were independent of the extent of vWF-loading. However, the highly loaded MOs were obtained from patients with a significantly elevated SOFA score, severe thrombocytopenia, and persistent liver dysfunction. The coagulation abnormalities of these critically ill patients may cause an accumulation of the highly thrombogenic and elongated high-molecular-weight vWF multimers in the plasma which will be trapped in the MOs during the ECMO therapy.}, language = {en} } @inproceedings{CantalloubeGomezGonzalezAbsiletal., author = {Cantalloube, Faustine and Gomez-Gonzalez, Carlos and Absil, Olivier and Cantero, Carles and Bacher, Regis and Bonse, Markus and Bottom, Michael and Dahlqvist, Carl-Henrik and Desgrange, C{\´e}lia and Flasseur, Olivier and Fuhrmann, Thomas and Henning, Thomas H. and Jensen-Clem, Rebecca and Kenworthy, Matthew and Mawet, Dimitri and Mesa, Dino and Meshkat, Tiffany and Mouillet, David and M{\"u}ller, Andr{\´e} and Nasedkin, Evert and Pairet, Benoit and Pi{\´e}rard, S{\´e}bastien and Ruffio, Jean-Baptiste and Samland, Matthias and Stone, Jordan and van Droogenbroeck, Marc}, title = {Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection}, series = {Adaptive Optics Systems VII : 14-22 December 2020, online only, United States}, booktitle = {Adaptive Optics Systems VII : 14-22 December 2020, online only, United States}, editor = {Schmidt, Dirk and Schreiber, Laura and Vernet, Elise}, publisher = {SPIE}, isbn = {9781510636835}, doi = {10.1117/12.2574803}, pages = {321}, abstract = {The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct detection. For this purpose, it gathers on a dedicated repository (Zenodo), data from several high-contrast ground-based instruments worldwide in which we injected synthetic planetary signals. The data challenge is hosted on the CodaLab competition platform, where participants can upload their results. The specifications of the data challenge are published on our website https://exoplanet-imaging-challenge.github.io/. The first phase, launched on the 1st of September 2019 and closed on the 1st of October 2020, consisted in detecting point sources in two types of common data-set in the field of high-contrast imaging: data taken in pupil-tracking mode at one wavelength (subchallenge 1, also referred to as ADI) and multispectral data taken in pupil-tracking mode (subchallenge 2, also referred to as ADI+mSDI). In this paper, we describe the approach, organisational lessons-learnt and current limitations of the data challenge, as well as preliminary results of the participants' submissions for this first phase. In the future, we plan to provide permanent access to the standard library of data sets and metrics, in order to guide the validation and support the publications of innovative image processing algorithms dedicated to high-contrast imaging of planetary systems.}, language = {en} }