Improvement of the LLS and MAP deconvolution algorithms by automatic determination of optimal regularization parameters and pre-filtering of original data.
Fiche publication
Date publication
janvier 2005
Auteurs
Membres identifiés du Cancéropôle Est :
Pr HAEBERLE Olivier
Tous les auteurs :
Colicchio B, Haeberle O, Xu C, Dieterlen A, Jung G
Lien Pubmed
Résumé
We show that automatic determination of regularization threshold and pre-filtering of 3-D fluorescence microscopic images improves the stability of deconvolution results when using the Linear Least squares Solution or the Maximum a Posteriori method. Doing so, the choice of the regularization parameter much less depends on a priori knowledge of the specimen or skills of the operator. This increases the reliability and repeatability of quantitative measurements on deconvolved images. (C) 2004 Elsevier B.V. All rights reserved.
Référence
Opt Commun. 2005 Jan 3;244(1-6):37-49.