69 citations · 323 across the 21 of their papers we have counts for
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Uniqueness of the Random Illumination Microscopy Variance Equation
Simon Labouesse, Jérôme Idier, Anne Sentenac +1
Recently, it has been shown theoretically that fluorescence microscopy using random illuminations (RIM) yields a doubled lateral resolution and an improved optical sectioning. More…
Joint reconstruction strategy for structured illumination microscopy with unknown illuminations
Simon Labouesse, Awoke Negash, Jérôme Idier +5
The blind structured illumination microscopy (SIM) strategy proposed in (Mudry et al., 1992) is fully re-founded in this paper, unveiling the central role of the sparsity of the il…
Blind fluorescence structured illumination microscopy: A new reconstruction strategy
S. Labouesse, M. Allain, J. Idier +4
In this communication, a fast reconstruction algorithm is proposed for fluorescence \textit{blind} structured illumination microscopy (SIM) under the sample positivity constraint.…
On the super-resolution capacity of imagers using unknown speckle illuminations
Jérôme Idier, Simon Labouesse, Marc Allain +3
Speckle based imaging consists of forming a super-resolved reconstruction of an unknown sample from low-resolution images obtained under random inhomogeneous illuminations (speckle…
A scale invariant Bayesian method to solve linear inverse problems
A. Mohammad-Djafari, Jérôme Idier
In this paper we propose a new Bayesian estimation method to solve linear inverse problems in signal and image restoration and reconstruction problems which has the property to be…