Article Dans Une Revue IEEE Transactions on Computational Imaging Année : 2024

Fast super-resolved reconstructions in fluorescence random illumination microscopy (RIM)

Résumé

Random Illumination Microscopy (RIM) is a recent super-resolved fluorescence imaging technique in which the sample is recovered iteratively by matching the empirical variance of low-resolution images obtained under random speckled illuminations with the expected variance model. RIM was shown theoretically to achieve a twofold resolution gain and its performances have proven very robust to deteriorated imaging conditions. However, the reconstruction algorithm suffers from a slow convergence which can prevent the method from being used to its full potential. Here, we show that a simple, noniterative, linear deconvolution of the empirical standard-deviation image using an appropriate kernel can be sufficient to obtain a satisfactory super-resolved reconstruction of the sample. This first estimate can be further improved with a new accelerated iterative strategy which convergence speed is about two orders of magnitude better than that of variance matching.

Fichier principal
Vignette du fichier
FastRIMInversionIEEE.pdf (15.98 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-04139086 , version 1 (23-06-2023)
hal-04139086 , version 2 (03-04-2024)
hal-04139086 , version 3 (13-06-2024)
hal-04139086 , version 4 (18-12-2024)

Licence

Identifiants

Citer

Guillaume Giroussens, Simon Labouesse, Marc Allain, Thomas Mangeat, Lorry Mazzella, et al.. Fast super-resolved reconstructions in fluorescence random illumination microscopy (RIM). IEEE Transactions on Computational Imaging, 2024, pp.1-13. ⟨10.1109/TCI.2024.3507643⟩. ⟨hal-04139086v4⟩
1273 Consultations
906 Téléchargements

Altmetric

Partager

  • More