High density molecule localization for super-resolution microscopy using CEL0 based sparse approximation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2017

High density molecule localization for super-resolution microscopy using CEL0 based sparse approximation

Abstract

Single molecule localization microscopy has made great improvements in spatial resolution achieving performance beyond the diffraction limit by sequentially activating and imaging small subsets of molecules. Here, we present an algorithm designed for high-density molecule localization which is of a major importance in order to improve the temporal resolution of such microscopy techniques. We formulate the localization problem as a sparse approximation problem which is then relaxed using the recently proposed CEL0 penalty, allowing an optimization through recent nonsmooth nonconvex algorithms. Finally, performances of the proposed method are compared with one of the best current method for high-density molecules localization on simulated and real data.
Fichier principal
Vignette du fichier
ISBI_Gazagnes2017.pdf (462.8 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01443565 , version 1 (23-01-2017)

Identifiers

Cite

Simon Gazagnes, Emmanuel Soubies, Laure Blanc-Féraud. High density molecule localization for super-resolution microscopy using CEL0 based sparse approximation. ISBI 2017 - IEEE International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. pp.4, ⟨10.1109/ISBI.2017.7950460⟩. ⟨hal-01443565⟩
705 View
717 Download

Altmetric

Share

Gmail Facebook X LinkedIn More