dc.contributor.author | Harcombe, David M. | |
dc.contributor.author | Ruppert, Michael G. | |
dc.contributor.author | Ragazzon, Michael Remo Palmén | |
dc.contributor.author | Fleming, Andrew J. | |
dc.date.accessioned | 2019-03-29T08:20:39Z | |
dc.date.available | 2019-03-29T08:20:39Z | |
dc.date.created | 2019-01-10T12:29:37Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Beilstein Journal of Nanotechnology. 2018, 9 490-498. | nb_NO |
dc.identifier.issn | 2190-4286 | |
dc.identifier.uri | http://hdl.handle.net/11250/2592328 | |
dc.description.abstract | An important issue in the emerging field of multifrequency atomic force microscopy (MF-AFM) is the accurate and fast demodulation of the cantilever-tip deflection signal. As this signal consists of multiple frequency components and noise processes, a lock-in amplifier is typically employed for its narrowband response. However, this demodulator suffers inherent bandwidth limitations as high-frequency mixing products must be filtered out and several must be operated in parallel. Many MF-AFM methods require amplitude and phase demodulation at multiple frequencies of interest, enabling both z-axis feedback and phase contrast imaging to be achieved. This article proposes a model-based multifrequency Lyapunov filter implemented on a field-programmable gate array (FPGA) for high-speed MF-AFM demodulation. System descriptions and simulations are verified by experimental results demonstrating high tracking bandwidths, strong off-mode rejection and minor sensitivity to cross-coupling effects. Additionally, a five-frequency system operating at 3.5 MHz is implemented for higher harmonic amplitude and phase imaging up to 1 MHz. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Beilstein-Institut | nb_NO |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Lyapunov estimation for high-speed demodulation in multifrequency atomic force microscopy | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 490-498 | nb_NO |
dc.source.volume | 9 | nb_NO |
dc.source.journal | Beilstein Journal of Nanotechnology | nb_NO |
dc.identifier.doi | 10.3762/bjnano.9.47 | |
dc.identifier.cristin | 1654019 | |
dc.description.localcode | © 2018 Harcombe et al.; licensee Beilstein-Institut. This is an Open Access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | nb_NO |
cristin.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |