On the validity domain of maximum likelihood estimators for depth-of-field extension in single-molecule localization microscopy - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of the Optical Society of America. A Optics, Image Science, and Vision Année : 2022

On the validity domain of maximum likelihood estimators for depth-of-field extension in single-molecule localization microscopy

Résumé

Localization 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.
Fichier principal
Vignette du fichier
JOSA_A_439993.pdf (1.33 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03473290 , version 1 (09-12-2021)

Identifiants

Citer

Olivier Lévêque, Caroline Kulcsár, Antony Lee, Pierre Bon, Laurent Cognet, et al.. On the validity domain of maximum likelihood estimators for depth-of-field extension in single-molecule localization microscopy. Journal of the Optical Society of America. A Optics, Image Science, and Vision, 2022, 39 (1), pp.37-43. ⟨10.1364/JOSAA.439993⟩. ⟨hal-03473290⟩
61 Consultations
123 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More