TY - JOUR A1 - Maggakis-Kelemen, Christina A1 - Digel, Ilya A1 - Artmann, Gerhard T1 - Polystyrene sulfonate/Polyallylamine hydrochloride microcapsules as potential artificial red blood cells - improvement of capsule flexibility JF - Biomedizinische Technik. 50 (2005), H. Erg.-Bd. 1 Y1 - 2005 SP - 324 EP - 326 ER - TY - JOUR A1 - Laack, Walter van A1 - Refisch, A. T1 - Der akute und chronische Schulterschmerz / Refisch, A. ; Laack, W. van JF - Deutsche Zeitschrift für Sportmedizin. 36 (1985), H. 6 Y1 - 1985 SN - 0371-3059 SP - 176 EP - 183 ER - TY - JOUR A1 - Laack, Walter van A1 - Dürselen, L. T1 - Alternative zur dauerhaften Verankerung von Gelenkendoprothesen JF - Zeitschrift für Orthopädie und ihre Grenzgebiete. 123 (1985), H. 4 Y1 - 1985 SN - 0044-3220 SP - 653 ER - TY - CHAP A1 - Poghossian, Arshak A1 - Bronder, Thomas A1 - Wu, Chunsheng A1 - Schöning, Michael Josef T1 - Label-free sensing of biomolecules by their intrinsic molecular charge using field-effect devices T2 - Semiconductor Micro- and Nanoelectonics : Proceedings of the tenth international conference, Yerevan, Armenia, September 11-13 Y1 - 2015 SN - 978-5-8084-1991-9 SP - 61 EP - 63 ER - TY - JOUR A1 - Laack, Walter van T1 - Untersuchungen über die Druckverteilung durch Schienbeinschoner im Fußballsport JF - Deutsche Zeitschrift für Sportmedizin. 36 (1985), H. 7 Y1 - 1985 SN - 0371-3059 SP - 203 EP - 208 ER - TY - CHAP A1 - Poghossian, Arshak A1 - Schumacher, Kerstin A1 - Kloock, Joachim P. A1 - Rosenkranz, Christian A1 - Schultze, Joachim W. A1 - Müller-Veggian, Mattea A1 - Schöning, Michael Josef T1 - Functional testing and characterisation of ISFETs on wafer level by means of a micro-droplet cell N2 - A wafer-level functionality testing and characterisation system for ISFETs (ionsensitive field-effect transistor) is realised by means of integration of a specifically designed capillary electrochemical micro-droplet cell into a commercial wafer prober-station. The developed system allows the identification and selection of “good” ISFETs at the earliest stage and to avoid expensive bonding, encapsulation and packaging processes for nonfunctioning ISFETs and thus, to decrease costs, which are wasted for bad dies. The developed system is also feasible for wafer-level characterisation of ISFETs in terms of sensitivity, hysteresis and response time. Additionally, the system might be also utilised for wafer-level testing of further electrochemical sensors. KW - Biosensor KW - Biosensorik KW - ISFET KW - Wafer KW - ISFET KW - wafer-level testing KW - capillary micro-droplet cell Y1 - 2006 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:a96-opus-1259 ER - TY - JOUR A1 - Gasparyan, Ferdinand V. A1 - Poghossian, Arshak A1 - Vitusevich, Svetlana A. A1 - Petrychuk, Mykhaylo V. A1 - Sydoruk, Viktor A. A1 - Siqueira, José R. Jr. A1 - Oliveira, Osvaldo N. Jr. A1 - Offenhäusser, Andreas A1 - Schöning, Michael Josef T1 - Low-Frequency Noise in Field-Effect Devices Functionalized With Dendrimer/Carbon-Nanotube Multilayers JF - IEEE Sensors Journal. 11 (2011), H. 1 Y1 - 2011 SN - 1530-437X SP - 142 EP - 149 PB - IEEE CY - New York ER - TY - JOUR A1 - Grieger, Niklas A1 - Schwabedal, Justus T. C. A1 - Wendel, Stefanie A1 - Ritze, Yvonne A1 - Bialonski, Stephan T1 - Automated scoring of pre-REM sleep in mice with deep learning JF - Scientific Reports N2 - Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accuracies for the classical sleep stages of Wake, REM, and Non-REM. Meanwhile, it has been recognized that the statistics of transitional stages such as pre-REM, found between Non-REM and REM, may hold additional insight into the physiology of sleep and are now under vivid investigation. We propose a classification system based on a simple neural network architecture that scores the classical stages as well as pre-REM sleep in mice. When restricted to the classical stages, the optimized network showed state-of-the-art classification performance with an out-of-sample F1 score of 0.95 in male C57BL/6J mice. When unrestricted, the network showed lower F1 scores on pre-REM (0.5) compared to the classical stages. The result is comparable to previous attempts to score transitional stages in other species such as transition sleep in rats or N1 sleep in humans. Nevertheless, we observed that the sequence of predictions including pre-REM typically transitioned from Non-REM to REM reflecting sleep dynamics observed by human scorers. Our findings provide further evidence for the difficulty of scoring transitional sleep stages, likely because such stages of sleep are under-represented in typical data sets or show large inter-scorer variability. We further provide our source code and an online platform to run predictions with our trained network. Y1 - 2021 U6 - https://doi.org/10.1038/s41598-021-91286-0 SN - 2045-2322 N1 - Corresponding author: Stephan Bialonski VL - 11 IS - Art. 12245 PB - Springer Nature CY - London ER - TY - CHAP A1 - Jablonski, Melanie A1 - Koch, Claudia A1 - Bronder, Thomas A1 - Poghossian, Arshak A1 - Wege, Christina A1 - Schöning, Michael Josef T1 - Field-Effect Biosensors Modified with Tobacco Mosaic Virus Nanotubes as Enzyme Nanocarrier T2 - MDPI Proceeding Y1 - 2017 U6 - https://doi.org/10.3390/proceedings1040505 N1 - Eurosensors 2017 Conference, Paris, France, 3–6 September 2017 VL - 1 IS - 4 ER - TY - JOUR A1 - Laack, Walter van T1 - Tennisarm - Ursachen und Behandlung JF - Apotheker-Journal . 9 (1987), H. 2 Y1 - 1987 SN - 0720-1028 SP - 42 ER -