3D Image super-resolution by fluorophore fluctuations and MA-TIRF microscopy reconstruction (3D-COL0RME)

Vasiliki Stergiopoulou (1) , Luca Calatroni (1) , Sébastien Schaub (2) , Laure Blanc-Féraud (1)

1 MORPHEME - Morphologie et Images
2 IMEV - Institut de la Mer de Villefranche

We propose a 3D super-resolution approach to improve both lateral and axial spatial resolution in Total Internal Reflectance Fluorescence (TIRF) imaging applications. Our approach, called 3D-COL0RME (3D-Covariance-based ℓ 0 super-Resolution Microscopy with intensity Estimation) improves both lateral and axial resolution by combining sparsity-based modelling for precise molecule localisation and intensity estimation in the lateral plane with a 3D reconstruction procedure in the axial one using Multi-Angle TIRF (MA-TIRF). Differently from state-of-the-art approaches, 3D-COL0RME does not require the use of special equipment as it can be used with standard fluorophores. We validate 3D-COL0RME on simulated MA-TIRF blinking-type data and on challenging real MA-TIRF acquisitions, showing significant resolution improvements.

Mots clés: 3D Super-Resolution; Fluorescence microscopy; Blinking fluorophores; Sparse optimisation; MA-TIRF microscopy

Domaines: Traitement des images [eess.IV]; Analyse numérique [math.NA]; Equations aux dérivées partielles [math.AP]; Optimisation et contrôle [math.OC]

Vasiliki Stergiopoulou, Luca Calatroni, Sébastien Schaub, Laure Blanc-Féraud. 3D Image super-resolution by fluorophore fluctuations and MA-TIRF microscopy reconstruction (3D-COL0RME). 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), Mar 2022, Kolkata, India. ⟨hal-03412778v1⟩