Development of a remanence measurement-based SQUID system with in-depth resolution for nanoparticle imaging
dc.contributor.author | Ge, Song | en_US |
dc.date.accessioned | 2010-03-23T15:24:53Z | |
dc.date.available | 2010-03-23T15:24:53Z | |
dc.date.issued | 2009 | en_US |
dc.identifier.citation | Ge, Song (2009). "Development of a remanence measurement-based SQUID system with in-depth resolution for nanoparticle imaging." Physics in Medicine and Biology 54(10): N177. <http://hdl.handle.net/2027.42/65080> | en_US |
dc.identifier.issn | 0031-9155 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/65080 | |
dc.description.abstract | We present a remanence measurement method using a superconducting quantum interference device (SQUID) to detect trace amounts of magnetic nanoparticles (MNPs). Based on this method, a one-dimensional scanning system was established for imaging. The system was calibrated with 25 nm diameter Fe 2 O 3 nanoparticles (NPs), and the sensitivity of the NPs was found to be 10 ng at a distance of 1.7 cm and the spatial resolution was ~1 cm. A theoretical model of this system was developed and applied to the deconvolution of scanned images of phantoms with two NP injection spots. Using the developed SQUID system, we were able to determine not only the amount and horizontal positions of the injections, but also their depths in the phantoms. | en_US |
dc.format.extent | 3111 bytes | |
dc.format.extent | 288717 bytes | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | application/pdf | |
dc.publisher | IOP Publishing | en_US |
dc.title | Development of a remanence measurement-based SQUID system with in-depth resolution for nanoparticle imaging | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Physics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/65080/2/pmb9_10_n01.pdf | |
dc.identifier.source | Physics in Medicine and Biology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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