arXiv Open Access 2018

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

Arne Bechensteen Laure Blanc-Féraud Gilles Aubert

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Abstrak

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.

Topik & Kata Kunci

eess.IV cs.IT math.OC

Penulis (3)

Arne Bechensteen

Laure Blanc-Féraud

Gilles Aubert

Format Sitasi

APA MLA BibTeX

Bechensteen, A., Blanc-Féraud, L., Aubert, G. (2018). Single molecule localization by $\ell_2-\ell_0$ constrained optimization. https://arxiv.org/abs/1812.05971

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Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓