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hal.structure.identifierLaboratoire Charles Fabry / Imagerie et Information
dc.contributor.authorLÉVÊQUE, Olivier
hal.structure.identifierLaboratoire Charles Fabry / Imagerie et Information
dc.contributor.authorKULCSÁR, Caroline
hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
dc.contributor.authorLEE, Antony
hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
dc.contributor.authorBON, Pierre
hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
dc.contributor.authorCOGNET, Laurent
hal.structure.identifierLaboratoire Charles Fabry / Imagerie et Information
dc.contributor.authorGOUDAIL, François
dc.date.accessioned2023-05-12T10:33:36Z
dc.date.available2023-05-12T10:33:36Z
dc.date.issued2022
dc.identifier.issn1084-7529
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/181465
dc.description.abstractEnLocalization microscopy approaches with enhanced depth-of-field (EDoF) are commonly optimized using the Cramér-Rao bound (CRB) as a criterion. It is widely believed that the CRB can be attained in practice by using the maximum-likelihood estimator (MLE). This is however an approximation, of which we define in this paper the precise domain of validity. Exploring a wide range of settings and noise levels, we show that the MLE is efficient when the signal-to-noise ratio (SNR) is such that the localization standard deviation of a single molecule is less than 20 nm. Thus, our results provide an explicit and quantitative validity boundary for the use of the MLE in EDoF localization microscopy setups optimized with the CRB.
dc.language.isoen
dc.publisherOptical Society of America
dc.title.enOn the validity domain of maximum likelihood estimators for depth-of-field extension in single-molecule localization microscopy
dc.typeArticle de revue
dc.identifier.doi10.1364/JOSAA.439993
dc.subject.halPhysique [physics]/Physique [physics]/Optique [physics.optics]
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.journalJournal of the Optical Society of America. A Optics, Image Science, and Vision
bordeaux.page37-43
bordeaux.volume39
bordeaux.hal.laboratoriesLaboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03473290
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03473290v1
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