Single molecule localization by $\ell_2-\ell_0$ constrained optimization - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2018

Single molecule localization by $\ell_2-\ell_0$ constrained optimization


Single Molecule Localization Microscopy (SMLM) enables the acquisition of high-resolution images by alternating between activation of a sparse subset of fluorescent molecules present in a sample and localization. In this work, the localization problem is formulated as a constrained sparse approximation problem which is resolved by rewriting the $\ell_0$ pseudo-norm using an auxiliary term. In the preliminary experiments with the simulated ISBI datasets the algorithm yields as good results as the state-of-the-art in high-density molecule localization algorithms.
Fichier principal
Vignette du fichier
1812.05971.pdf (427.61 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-02400407 , version 1 (09-12-2019)



Arne Bechensteen, Laure Blanc-Féraud, Gilles Aubert. Single molecule localization by $\ell_2-\ell_0$ constrained optimization. iTWIST'18, Nov 2018, Marseille, France. ⟨hal-02400407⟩
44 View
41 Download



Gmail Facebook X LinkedIn More