Optical diffraction tomography from single-molecule localization microscopy - Signal et Communications Accéder directement au contenu
Article Dans Une Revue Optics Communications Année : 2021

Optical diffraction tomography from single-molecule localization microscopy

Thanh-An Pham
  • Fonction : Auteur
  • PersonId : 1109696
Emmanuel Soubies

Résumé

Single-molecule localization microscopy (SMLM) is a powerful method for the imaging of cellular structures. This modality delivers nanoscale resolution by sequentially activating a subset of fluorescent molecules and by extracting their super-resolved positions from the microscope images. The emission patterns of individual molecules can be distorted by the refractive-index (RI) map of the sample, which reduces the accuracy of the molecule localization if not accounted for. In this work, we show that one can exploit those sample-induced aberrations to reveal the structural information of the specimen. Our work is related to the optical diffraction tomography in that we aim to recover the RI map. To that end, we propose an optimization framework in which we reconstruct the RI map and optimize the positions of the molecules in a joint fashion. The benefits of our method are twofold. On one side, we effectively recover the RI map of the sample. On the other side, we further improve the molecule localization—the primary purpose of SMLM. We validate our joint-optimization framework on simulated data. Our results lay the foundation of an exciting and novel extension of SMLM.
Fichier principal
Vignette du fichier
Pham_OptComm_2021.pdf (3.34 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03290069 , version 1 (28-09-2021)

Licence

Paternité

Identifiants

Citer

Thanh-An Pham, Emmanuel Soubies, Ferréol Soulez, Michael Unser. Optical diffraction tomography from single-molecule localization microscopy. Optics Communications, 2021, 499, pp.127290. ⟨10.1016/j.optcom.2021.127290⟩. ⟨hal-03290069⟩
129 Consultations
28 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More