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dc.contributor.authorYin, Gung-Chianen_US
dc.contributor.authorChen, Fu-Rongen_US
dc.contributor.authorPyun, Ahramen_US
dc.contributor.authorHo, Jungen_US
dc.contributor.authorHwu, Yeukuangen_US
dc.contributor.authorLiang, Keng S.en_US
dc.date.accessioned2017-04-21T06:48:31Z-
dc.date.available2017-04-21T06:48:31Z-
dc.date.issued2007en_US
dc.identifier.isbn978-0-7354-0373-4en_US
dc.identifier.issn0094-243Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/135180-
dc.description.abstractX-ray phase tomography and phase imaging are promising ways of investigation on low Z material- A polymer blend of PE/PS sample was used to test the 3D phase retrieval method in the parallel beam illuminated microscope. Because the polymer sample is thick, the phase retardation is quite mixed and the image can not be distinguished when the 2D transport intensity equation (TIE) is applied. In this study, we have provided a different approach for solving the phase in three dimensions for thick sample. Our method involves integration of 3D TIE/Fourier slice theorem for solving thick phase sample. In our experiment, eight sets of de-focal series image data sets were recorded covering the angular range of 0 to 180 degree. Only three set of image cubes were used in 3D TIE equation for solving the phase tomography. The phase contrast of the polymer blend in 3D is obviously enhanced, and the two different groups of polymer blend can be distinguished in the phase tomography.en_US
dc.language.isoen_USen_US
dc.subjectphase tomographyen_US
dc.subjecttransmission X-ray microscopeen_US
dc.titlePhase tomography reconstructed by 3D TIE in hard X-ray microscopeen_US
dc.typeProceedings Paperen_US
dc.identifier.journalSYNCHROTRON RADIATION INSTRUMENTATION, PTS 1 AND 2en_US
dc.citation.volume879en_US
dc.citation.spage1373en_US
dc.citation.epage+en_US
dc.contributor.department光電工程學系zh_TW
dc.contributor.departmentDepartment of Photonicsen_US
dc.identifier.wosnumberWOS:000244647900328en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper