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dc.contributor.authorLu, Hui-Hsinen_US
dc.contributor.authorHsiao, Tzu-Chienen_US
dc.contributor.authorHsu, Su-Mingen_US
dc.contributor.authorLin, Chii-Wannen_US
dc.date.accessioned2014-12-08T15:07:23Z-
dc.date.available2014-12-08T15:07:23Z-
dc.date.issued2010-03-01en_US
dc.identifier.issn1530-437Xen_US
dc.identifier.urihttp://dx.doi.org/10.1109/JSEN.2009.2038628en_US
dc.identifier.urihttp://hdl.handle.net/11536/5819-
dc.description.abstractThis paper presents a multifunctional imaging system that combines dark-field microscopy (DFM) with spectroscopy to image nanostructures and identify their optical properties from absorption spectra. The optical resolving power of this system is determined using a 1-D nanostructure with pitches of 120, 390, and 770 nm with four formats of optical disks. These pattern sizes are verified by atomic force microscopy (AFM) first. The results demonstrate that the resolving power of current system setup can down to 86 nm. The resultant DFM images appear to be slightly larger than the AFM images. A 50-nm-thick gold film was then deposited on top of these nanostructures, and their absorption spectra were obtained to elucidate its optical properties, enhanced by surface plasmon resonance. The immobilization of streptavidin on the surface of gold-coated nanostructure causes the absorption spectra to shift from 600 to 610 nm. A protein nanoarray with a dot size of 50 nm was also imaged by DFM, and can be implemented as a potential biochemical diagnostic system on an optical disk format. Specimens of adenocarcinoma cells and ovary cancer cells were also imaged using this DFM system, and the nuclei structure and some cellular organs can be recognized using a 100 objective oil lens.en_US
dc.language.isoen_USen_US
dc.subject1-D nanostructureen_US
dc.subjectsurface plasmonen_US
dc.subjectdark-field microscopy (DFM)en_US
dc.titleOptical Characterization of a 1-D Nanostructure by Dark-Field Microscopy and Surface Plasmon Resonance to Determine Biomolecular Interactionsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JSEN.2009.2038628en_US
dc.identifier.journalIEEE SENSORS JOURNALen_US
dc.citation.volume10en_US
dc.citation.issue3en_US
dc.citation.spage712en_US
dc.citation.epage719en_US
dc.contributor.department分子醫學與生物工程研究所zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentInstitute of Molecular Medicine and Bioengineeringen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000274997400005-
dc.citation.woscount3-
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