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Conference Papers Year : 2018

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

Abstract

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.
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Dates and versions

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

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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⟩
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