TY - JOUR A1 - Poghossian, Arshak A1 - Weil, M. A1 - Cherstvy, A. G. A1 - Schöning, Michael Josef T1 - Electrical monitoring of polyelectrolyte multilayer formation by means of capacitive field-effect devices JF - Analytical and bioanalytical chemistry N2 - The semiconductor field-effect platform represents a powerful tool for detecting the adsorption and binding of charged macromolecules with direct electrical readout. In this work, a capacitive electrolyte–insulator–semiconductor (EIS) field-effect sensor consisting of an Al-p-Si-SiO2 structure has been applied for real-time in situ electrical monitoring of the layer-by-layer formation of polyelectrolyte (PE) multilayers (PEM). The PEMs were deposited directly onto the SiO2 surface without any precursor layer or drying procedures. Anionic poly(sodium 4-styrene sulfonate) and cationic weak polyelectrolyte poly(allylamine hydrochloride) have been chosen as a model system. The effect of the ionic strength of the solution, polyelectrolyte concentration, number and polarity of the PE layers on the characteristics of the PEM-modified EIS sensors have been studied by means of capacitance–voltage and constant-capacitance methods. In addition, the thickness, surface morphology, roughness and wettabilityof the PE mono- and multilayers have been characterised by ellipsometry, atomic force microscopy and water contact-angle methods, respectively. To explain potential oscillations on the gate surface and signal behaviour of the capacitive field-effect EIS sensor modified with a PEM, a simplified electrostatic model that takes into account the reduced electrostatic screening of PE charges by mobile ions within the PEM has been proposed and discussed. Y1 - 2013 U6 - https://doi.org/10.1007/s00216-013-6951-9 SN - 1432-1130 ; 1618-2642 VL - 405 IS - 20 SP - 6425 EP - 6436 PB - Springer CY - Berlin ER - TY - JOUR A1 - Schöning, Michael Josef A1 - Poghossian, Arshak T1 - Recent advances in biologically sensitive field-effect transistors (BioFETs) JF - Analyst. 127 (2002) Y1 - 2002 SN - 0003-2654 SP - 1137 EP - 1151 ER - TY - JOUR A1 - Staat, Manfred T1 - Versagenswahrscheinlichkeit der Primärkreisdruckumschließung eines HTR-Moduls zur Prozeßwärmegewinnung unter Störfallbedingungen JF - Jahrestagung Kerntechnik '91 / Kerntechnische Gesellschaft e.V. ; Deutsches Atomforum e.V Y1 - 1991 SP - 123 EP - 126 PB - INFORUM CY - Bonn ER - TY - JOUR A1 - Laack, Walter van T1 - Ohne Geist läuft wenig! Teil 2: Zur Unfreiheit verdammt? Eine etwas andere Sicht der Libet-Experimente JF - Die Drei : Zeitschrift für Anthroposophie in Wissenschaft, Kunst und sozialem Leben. 75 (2005), H. 3 Y1 - 2005 SN - 0012-6063 SP - 25 EP - 35 ER - TY - JOUR A1 - Laack, Walter van T1 - Ohne Geist läuft wenig! Teil 1: Kann aus Neuronen Bewusstsein entstehen? JF - Die Drei : Zeitschrift für Anthroposophie in Wissenschaft, Kunst und sozialem Leben. 75 (2005), H. 2 Y1 - 2005 SN - 0012-6063 SP - 31 EP - 38 ER - TY - JOUR A1 - Laack, Walter van T1 - Elektro- und Ultraschalltherapie JF - Stationäre Naturheilkunde : Handbuch für Klinik und Rehabilitation / André-Michael Beer. [Autoren: Peter Altmeyer ...] Y1 - 2005 SN - 3-437-56890-6 SP - 162 EP - 171 PB - Elsevier, Urban und Fischer CY - München ER - TY - JOUR A1 - Schwabedal, Justus T. C. A1 - Sippel, Daniel A1 - Brandt, Moritz D. A1 - Bialonski, Stephan T1 - Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning N2 - Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven f ield. We introduce a deep neural network model that is able to predict different states of consciousness (Wake, Non-REM, REM) in mice from EEG and EMG recordings with excellent scoring results for out-of-sample data. Predictions are made on epochs of 4 seconds length, and epochs are classified as artifactfree or not. The model architecture draws on recent advances in deep learning and in convolutional neural networks research. In contrast to previous approaches towards automated sleep scoring, our model does not rely on manually defined features of the data but learns predictive features automatically. We expect deep learning models like ours to become widely applied in different fields, automating many repetitive cognitive tasks that were previously difficult to tackle. Y1 - 2018 U6 - https://doi.org/10.48550/arXiv.1809.08443 ER - TY - JOUR A1 - Knobbe, D.-T. A1 - Schöning, Michael Josef A1 - Poghossian, Arshak A1 - Mourzina, Y. T1 - Charakterisierung von kapazitiven EMISSensoren mittels Impedanzspektroskopie, Kapazitäts-Spannungs- und Konstant-Kapazitäts-Messung JF - Sensoren und Messsysteme 2004 : Tagung Ludwigsburg, 15. und 16. März 2004 / VDI-VDE-Gesellschaft Mess- und Automatisierungstechnik Y1 - 2004 SN - 3-18-091829-2 N1 - Auch erschienen als: VDI-Berichte ; 1829 SP - 851 EP - 854 PB - VDI CY - Düsseldorf ER - TY - JOUR A1 - Molinnus, Denise A1 - Bäcker, Matthias A1 - Siegert, Petra A1 - Willenberg, H. A1 - Poghossian, Arshak A1 - Keusgen, M. A1 - Schöning, Michael Josef T1 - Detection of Adrenaline Based on Substrate Recycling Amplification JF - Procedia Engineering N2 - An amperometric enzyme biosensor has been applied for the detection of adrenaline. The adrenaline biosensor has been prepared by modification of an oxygen electrode with the enzyme laccase that operates at a broad pH range between pH 3.5 to pH 8. The enzyme molecules were immobilized via cross-linking with glutaraldehyde. The sensitivity of the developed adrenaline biosensor in different pH buffer solutions has been studied. Y1 - 2015 U6 - https://doi.org/10.1016/j.proeng.2015.08.708 SN - 1877-7058 N1 - Eurosensors 2015 VL - 120 SP - 540 EP - 543 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Stulpe, Werner T1 - Self-Adjoint Operator JF - Compendium of Quantum Physics : concepts, experiments, history and philosophy / Daniel Greenberger ... ed. Y1 - 2009 SN - 978-3-540-70622-9 SP - 692 EP - 697 PB - Springer CY - Berlin ER -