L. Schermelleh, R. Heintzmann, and H. Leonhardt, A guide to super-resolution fluorescence microscopy, The Journal of Cell Biology, vol.190, issue.2, pp.165-175, 2010.

M. G. Gustafsson, Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy, Journal of Microscopy, vol.198, issue.2, pp.82-87, 2000.

E. Candès, J. Romberg, and T. Tao, Robust uncertainty principles : Exact signal reconstruction from highly incomplete frequency information, IEEE Transactions on Information Theory, vol.52, issue.2, pp.489-509, 2006.

D. L. Donoho, Compressed Sensing, IEEE Transactions on Information Theory, vol.52, issue.4, pp.1289-1306, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00369486

E. Candès, The restricted isometry property and its implications for compressed sensing, Comptes Rendus Mathématiques, vol.346, issue.9, pp.589-592, 2008.

S. Becker, J. Bobin, and E. Candès, NESTA : A Fast and Accurate First-Order Method for Sparse Recovery, SIAM Journal on Imaging Sciences, vol.4, issue.1, pp.1-39, 2011.

F. Orieux, E. Sepulveda, V. Loriette, B. Dubertret, and J. Olivo-marin, Bayesian estimation for optimized structured illumination microscopy, Transactions on Image Processing, vol.21, issue.2, pp.601-614, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01225862

K. Wicker, Non-iterative determination of pattern phase in structured illumination microscopy using auto-correlation in Fourier space, Optics Express, vol.21, issue.21, pp.24692-24701, 2013.

Z. Wang and A. C. Bovik, Mean squared error : Love it or leave it ? A new look at Signal Fidelity Measures, IEEE Signal Processing Magazine, vol.26, issue.1, pp.98-117, 2009.

J. Demmerle, E. Wegel, L. Schermelleh, and I. M. Dobbie, Assessing resolution in super-resolution imaging, Methods, vol.88, pp.3-10, 2015.