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Pré-Publication, Document De Travail 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.
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Dates et versions

hal-04139086 , version 1 (23-06-2023)
hal-04139086 , version 2 (03-04-2024)

Identifiants

  • HAL Id : hal-04139086 , version 2

Citer

Guillaume Giroussens, Simon Labouesse, Marc Allain, Thomas Mangeat, Anne Sentenac, et al.. Fast super-resolved reconstructions in fluorescence random illumination microscopy (RIM). 2024. ⟨hal-04139086v2⟩
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