Deconvolution and Denoising for Confocal Microscopy - Modeling in Computational Biology and Biomedicine - page 158

74. E.H.K. Stelzer. Contrast, resolution, pixelation, dynamic range and signal-to-noise ratio:
fundamental limits to resolution in fluorescence light microscopy. J. Microsc. , 189:15-24,
January 1998.
75. P.A. Stokseth. Properties of a defocused optical system. J. Opt. Soc. Am. A , 59:1314-1321,
october 1969.
76. Y. Sun, P. Davis, E.A. Kosmacek, F. Ianzini, and M.A. Mackey. An open-source deconvo-
lution software package for 3-D quantitative fluorescence microscopy imaging. J. Microsc. ,
236(3):180-193, 2009.
77. T. Suzuki, T. Matsuzaki, H. Hagiwara, T. Aoki, and K. Takata. Recent Advances in Fluorescent
Labeling Techniques for Fluorescence Microscopy. Acta Histochem. Cytochem. , 40:131-137,
2007.
78. J.R. Swedlow, K. Hu, P.D. Andrews, D.S. Roos, and J.M. Murray. Measuring tubulin content
in Toxoplasma gondii: a comparison of laser-scanning confocal and wide-field fluorescence
microscopy. Proc. Soc. Natl. Acad. Sci. , 99(4):2014-2019, February 2002.
79. A.N. Tikhonov and V.A. Arsenin. Solution of Ill-posed Problems . Winston and Sons, 1977.
80. T. Tommasi, A. Diaspro, and B. Bianco. 3-D reconstruction in optical microscopy by a
frequency-domain approach. Signal Process. , 32(3):357-366, 1993.
81. R.Y. Tsien, L. Ernst, and A. Waggonnr. Fluorophores for confocal microscopy: photophysics
and photochemistry. In J. B. Pawley, editor, Handbook of Biological Confocal Microscopy ,
chapter 39, pages 690-702. Springer, 3 rd edition, 2006.
82. G.M.P. van Kempen, L.J. van Vliet, P.J. Verveer, and H.T.M. van Der Voort. A quantitative
comparison of image restoration methods for confocal microscopy. J. Microsc. , 12:354-365,
March 1997.
83. P.J. Verveer, M.J. Gemkow, and T.M. Jovin. A comparison of image restoration approaches
applied to three-dimensional confocal and wide-field fluorescence microscopy. J. Microsc. ,
193:50-61, 1999.
84. R.M. Willett, I. Jermyn, R.D. Nowak, and J. Zerubia. Wavelet-based superresolution in
astronomy. In F. Ochsenbein, M.G. Allen, and D. Egret, editors, Proc. Astronomical Data
Analysis Software and Systems , volume 314 of Astronomical Society of the Pacific , pages 107-
116, Strasbourg, France, July 2003.
85. K.I. Willig, J. Keller, M. Bossi, and S.W. Hell. STED microscopy resolves nanoparticle
assemblies. New J. Phys. , 8:106-113, 2006.
86. R. Zanella, P. Boccacci, L. Zanni, and M. Bertero. Efficient gradient projection methods for
edge-preserving removal of poisson noise. Inverse Problems , 25(4):045010, 2009.
87. B. Zhang, J. Zerubia, and J.C. Olivo-Marin. Gaussian approximations of fluorescence micro-
scope point-spread function models. Appl. Opt. , 46(10):1819-1829, 2007.