Article
Refine
Year of publication
- 2024 (16)
- 2023 (23)
- 2022 (33)
- 2021 (39)
- 2020 (44)
- 2019 (49)
- 2018 (42)
- 2017 (41)
- 2016 (29)
- 2015 (41)
- 2014 (39)
- 2013 (43)
- 2012 (34)
- 2011 (65)
- 2010 (54)
- 2009 (65)
- 2008 (45)
- 2007 (38)
- 2006 (28)
- 2005 (36)
- 2004 (68)
- 2003 (32)
- 2002 (39)
- 2001 (46)
- 2000 (42)
- 1999 (28)
- 1998 (21)
- 1997 (22)
- 1996 (20)
- 1995 (15)
- 1994 (8)
- 1993 (16)
- 1992 (6)
- 1991 (5)
- 1990 (11)
- 1989 (8)
- 1988 (17)
- 1987 (6)
- 1986 (2)
- 1985 (2)
- 1984 (1)
- 1983 (2)
- 1982 (20)
- 1981 (12)
- 1980 (26)
- 1979 (18)
- 1978 (24)
- 1977 (13)
- 1976 (12)
- 1975 (8)
- 1974 (2)
- 1972 (2)
- 1968 (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (1359) (remove)
Language
- English (1359) (remove)
Document Type
- Article (1359) (remove)
Keywords
- Einspielen <Werkstoff> (7)
- FEM (4)
- Finite-Elemente-Methode (4)
- LAPS (4)
- CellDrum (3)
- Label-free detection (3)
- biosensors (3)
- hydrogen peroxide (3)
- impedance spectroscopy (3)
- shakedown analysis (3)
Three-dimensional (3D) full-field measurements provide a comprehensive and accurate validation of finite element (FE) models. For the validation, the result of the model and measurements are compared based on two respective point-sets and this requires the point-sets to be registered in one coordinate system. Point-set registration is a non-convex optimization problem that has widely been solved by the ordinary iterative closest point algorithm. However, this approach necessitates a good initialization without which it easily returns a local optimum, i.e. an erroneous registration. The globally optimal iterative closest point (Go-ICP) algorithm has overcome this drawback and forms the basis for the presented open-source tool that can be used for the validation of FE models using 3D full-field measurements. The capability of the tool is demonstrated using an application example from the field of biomechanics. Methodological problems that arise in real-world data and the respective implemented solution approaches are discussed.
Label-free electrical detection of consecutive deoxyribonucleic acid (DNA) hybridization/denaturation by means of an array of individually addressable field-effect-based nanoplate silicon-on-insulator (SOI) capacitors modified with gold nanoparticles (Au-NP) is investigated. The proposed device detects charge changes on Au-NP/DNA hybrids induced by the hybridization or denaturation event. DNA hybridization was performed in a high ionic-strength solution to provide a high hybridization efficiency. On the other hand, to reduce the screening of the DNA charge by counter ions and to achieve a high sensitivity, the sensor signal induced by the hybridization and denaturation events was measured in a low ionic-strength solution. High sensor signals of about 120, 90, and 80 mV were registered after the DNA hybridization, denaturation, and re-hybridization events, respectively. Fluorescence microscopy has been applied as reference method to verify the DNA immobilization, hybridization, and denaturation processes. An electrostatic charge-plane model for potential changes at the gate surface of a nanoplate field-effect sensor induced by the DNA hybridization has been developed taking into account both the Debye length and the distance of the DNA charge from the gate surface.