Computational super-resolution microscopy: leveraging noise model, regularization and sparsity to achieve highest resolution
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Carol J. Cogswell | Jian Xing | Stephen Becker | Simeng Chen | Jiun-Yann Yu | Stephen Becker | C. Cogswell | Jiun-Yann Yu | Jian Xing | Simeng Chen
[1] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[2] Mario Bertero,et al. Super-resolution by data inversion , 1996 .
[3] Dianne P. O'Leary,et al. The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems , 1993, SIAM J. Sci. Comput..
[4] Per Christian Hansen,et al. Analysis of Discrete Ill-Posed Problems by Means of the L-Curve , 1992, SIAM Rev..
[5] Gene H. Golub,et al. Generalized cross-validation as a method for choosing a good ridge parameter , 1979, Milestones in Matrix Computation.
[6] J. Lippincott-Schwartz,et al. Imaging Intracellular Fluorescent Proteins at Nanometer Resolution , 2006, Science.
[7] Oleg V. Michailovich,et al. Regularized Richardson-Lucy Algorithm for Sparse Reconstruction of Poissonian Images , 2010, ArXiv.
[8] A. V. Schaik,et al. L1 regularization method in electrical impedance tomography by using the L1-curve (Pareto frontier curve) , 2012 .
[9] S. Weiss,et al. Fast, background-free, 3D super-resolution optical fluctuation imaging (SOFI) , 2009, Proceedings of the National Academy of Sciences.
[10] B. Hunt,et al. Analysis of the limit to superresolution in incoherent imaging , 1993 .
[11] J. Skilling,et al. Maximum entropy signal processing in practical NMR spectroscopy , 1984, Nature.
[12] J. Janesick,et al. Charge-Coupled-Device Charge-Collection Efficiency And The Photon-Transfer Technique , 1987 .
[13] Edwin L. Bradley,et al. The Equivalence of Maximum Likelihood and Weighted Least Squares Estimates in the Exponential Family , 1973 .
[14] J. Goodman. Introduction to Fourier optics , 1969 .
[15] P Boccacci,et al. Super-resolution in computational imaging. , 2003, Micron.
[16] Gene H. Golub,et al. Tikhonov Regularization and Total Least Squares , 1999, SIAM J. Matrix Anal. Appl..
[17] Mario Bertero,et al. Resolution in Diffraction-limited Imaging, a Singular Value Analysis: III. The Effect of Sampling an , 1982 .
[18] Mario Bertero,et al. Super-resolution in confocal scanning microscopy: II. The incoherent case , 1989 .
[19] Characterizing Digital Cameras with the Photon Transfer Curve , 2002 .
[20] M. Bertero,et al. Linear inverse problems with discrete data: II. Stability and regularisation , 1988 .
[21] Emmanuel J. Candès,et al. Templates for convex cone problems with applications to sparse signal recovery , 2010, Math. Program. Comput..
[22] Karen O. Egiazarian,et al. Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data , 2008, IEEE Transactions on Image Processing.
[23] S. Hell,et al. Subdiffraction resolution in far-field fluorescence microscopy. , 1999, Optics letters.
[24] ProblemsPer Christian HansenDepartment. The L-curve and its use in the numerical treatment of inverse problems , 2000 .
[25] I. Johnstone,et al. Maximum Entropy and the Nearly Black Object , 1992 .
[26] S. Hell,et al. Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopy. , 1994, Optics letters.
[27] S.M. Riad,et al. The deconvolution problem: An overview , 1986, Proceedings of the IEEE.
[28] E. Candès,et al. New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities , 2004 .