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Simplified tomographic diffractive microscopy for axisymmetric samples

hal.structure.identifierInstitut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
dc.contributor.authorFOUCAULT, Ludovic
hal.structure.identifierInstitut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
dc.contributor.authorVERRIER, Nicolas
hal.structure.identifierInstitut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
dc.contributor.authorDEBAILLEUL, Matthieu
hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
dc.contributor.authorSIMON, Bertrand
hal.structure.identifierInstitut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
dc.contributor.authorHAEBERLE, Olivier
dc.date.accessioned2023-05-12T10:33:01Z
dc.date.available2023-05-12T10:33:01Z
dc.date.created2019
dc.date.issued2019-04-15
dc.identifier.issn2578-7519
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/181452
dc.description.abstractEnTomographic diffractive microscopy exhibits intrinsic features making it a method of choice for 3D high-resolution label-free imaging. However, these results are achieved at the cost of a heavy data acquisition/reconstruction process. This drawback can be circumvented for certain classes of samples. For example, axisymmetric samples, like optical or textile fibers, present geometrical properties that can be advantageously used to speed-up the acquisition process. We propose to take benefit of these properties to allow for full reconstruction of axisymmetric samples’ complex refractive index distribution, using four approaches, adapted to 3D samples. We applied the proposed reconstruction scheme, based on a numerical rotation of data, to both simulated and experimental data sets.
dc.language.isoen
dc.publisherOSA Publishing
dc.title.enSimplified tomographic diffractive microscopy for axisymmetric samples
dc.typeArticle de revue
dc.identifier.doi10.1364/OSAC.2.001039
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
bordeaux.journalOSA Continuum
bordeaux.page1039-1055
bordeaux.volume2
bordeaux.hal.laboratoriesLaboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298*
bordeaux.issue4
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03615860
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03615860v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=OSA%20Continuum&rft.date=2019-04-15&rft.volume=2&rft.issue=4&rft.spage=1039-1055&rft.epage=1039-1055&rft.eissn=2578-7519&rft.issn=2578-7519&rft.au=FOUCAULT,%20Ludovic&VERRIER,%20Nicolas&DEBAILLEUL,%20Matthieu&SIMON,%20Bertrand&HAEBERLE,%20Olivier&rft.genre=article


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