COL0RME: COvariance-based $\ell_0$ super-Resolution Microscopy with intensity Estimation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2021

COL0RME: COvariance-based $\ell_0$ super-Resolution Microscopy with intensity Estimation

Vasiliki Stergiopoulou
Luca Calatroni
Laure Blanc-Féraud

Abstract

Super-resolution light microscopy overcomes the physical barriers due to light diffraction, allowing for the observation of otherwise indistinguishable subcellular entities. However, the specific acquisition conditions required by state-of-the-art super-resolution methods to achieve adequate spatio-temporal resolution are often very challenging. Exploiting molecules fluctuations allows good spatio-temporal resolution live-cell imaging by means of common microscopes and conventional fluorescent dyes. In this work, we present the method COL0RME for COvariance-based $\ell_0$ super-Resolution Microscopy with intensity Estimation. It codifies the assumption of sparse distribution of the fluorescent molecules as well as the temporal and spatial independence between emitters via a non-convex optimization problem formulated in the covariance domain. In order to deal with real data, the proposed approach also estimates background and noise statistics. It also includes a final estimation step where intensity information is retrieved, which is valuable for biological interpretation and future applications to super-resolution imaging.
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Dates and versions

hal-02979332 , version 1 (29-11-2021)
hal-02979332 , version 2 (11-07-2022)

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Vasiliki Stergiopoulou, José Henrique de M Goulart, Sébastien Schaub, Luca Calatroni, Laure Blanc-Féraud. COL0RME: COvariance-based $\ell_0$ super-Resolution Microscopy with intensity Estimation. ISBI 2021 - 18th IEEE International Symposium on Biomedical Imaging, Apr 2021, Nice (Virtual), France. pp.349-352, ⟨10.1109/ISBI48211.2021.9433976⟩. ⟨hal-02979332v2⟩
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