Bayesian Estimation for Optimized Structured Illumination Microscopy

@article{Orieux2012BayesianEF,
  title={Bayesian Estimation for Optimized Structured Illumination Microscopy},
  author={François Orieux and Eduardo Sepulveda and Vincent Loriette and Benoit Dubertret and Jean-Christophe Olivo-Marin},
  journal={IEEE Transactions on Image Processing},
  year={2012},
  volume={21},
  pages={601-614}
}
Structured illumination microscopy is a recent imaging technique that aims at going beyond the classical optical resolution by reconstructing high-resolution (HR) images from low-resolution (LR) images acquired through modulation of the transfer function of the microscope. The classical implementation has a number of drawbacks, such as requiring a large number of images to be acquired and parameters to be manually set in an ad-hoc manner that have, until now, hampered its wide dissemination… CONTINUE READING
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