Foundations of confocal scanned imaging in light microscopy, Handbook of biological confocal microscopy, pp.1-19, 2006. ,
Three-dimensional architecture of a polytene nucleus, Nature, vol.7, issue.5910, pp.676-681, 1983. ,
DOI : 10.1101/SQB.1978.042.01.035
Three-Dimensional Imaging by Deconvolution Microscopy, Methods, vol.19, issue.3, pp.373-385, 1999. ,
DOI : 10.1006/meth.1999.0873
A workingperson's guide to deconvolution in light microscopy, Biotechniques, vol.31, issue.5, pp.1076-1097, 2001. ,
Deconvolution microscopy, Microsc, Tech, pp.1288-1291, 2005. ,
DOI : 10.1007/b102215
Deconvolution methods for 3-D fluorescence microscopy images, IEEE Signal Processing Magazine, vol.23, issue.3, pp.32-45, 2006. ,
DOI : 10.1109/MSP.2006.1628876
Image deblurring with poisson data: from cells to galaxies, Inverse Prob, p.123006, 2009. ,
DOI : 10.1088/0266-5611/25/12/123006
Comparison of deconvolution software in 3D microscopy. a user point of view part 1, G.I.T, Imag. Microsc, vol.1, pp.43-45, 2010. ,
Comparison of deconvolution software in 3D microscopy, Imag. Microsc, vol.1, issue.2, pp.41-43, 2010. ,
Huygens Remote Manager, Imaging & Microscopy, vol.208, issue.2, pp.57-58, 2007. ,
DOI : 10.1046/j.1365-2818.2002.01068.x
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009. ,
DOI : 10.1137/080716542
URL : http://ie.technion.ac.il/%7Ebecka/papers/finalicassp2009.pdf
algorithm with total variation regularization for 3D confocal microscope deconvolution, Microsc. Res. Tech, pp.69-260, 2006. ,
DOI : 10.1002/jemt.20294
A Fast Thresholded Landweber Algorithm for Wavelet-Regularized Multidimensional Deconvolution, IEEE Transactions on Image Processing, vol.17, issue.4, pp.539-549, 2008. ,
DOI : 10.1109/TIP.2008.917103
URL : https://infoscience.epfl.ch/record/130349/files/vonesch0801.pdf
Involvement of YODA and mitogen activated protein kinase 6 in Arabidopsis post-embryogenic root development through auxin up-regulation and cell division plane orientation, New Phytologist, vol.105, issue.4, pp.1175-1193, 2014. ,
DOI : 10.1073/pnas.0806157105
Monoacylglycerol Lipase Is a Therapeutic Target for Alzheimer's Disease, Cell Reports, vol.2, issue.5, pp.1329-1339, 2012. ,
DOI : 10.1016/j.celrep.2012.09.030
URL : https://doi.org/10.1016/j.celrep.2012.09.030
In vitro model of bone to facilitate measurement of adhesion forces and super-resolution imaging of osteoclasts, Scientific Reports, vol.107, issue.1, p.22585, 2016. ,
DOI : 10.1016/j.ultramic.2007.02.035
Comparison of the effects of subinhibitory concentrations of ciprofloxacin and colistin on the morphology of cardiolipin domains in Escherichia coli membranes, Journal of Medical Microbiology, vol.61, issue.Pt_4, pp.520-524, 2012. ,
DOI : 10.1099/jmm.0.037788-0
Short-circuit current density mapping for solar cells, Solar Energy Materials and Solar Cells, vol.120, pp.282-288, 2014. ,
DOI : 10.1016/j.solmat.2013.09.019
NIH Image to ImageJ: 25 years of image analysis, Nature Methods, vol.42, issue.7, pp.671-675, 2012. ,
DOI : 10.2144/000112257
Fiji: an open-source platform for biological-image analysis, Nature Methods, vol.27, issue.7, pp.676-682, 2012. ,
DOI : 10.1093/bioinformatics/btr390
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3855844/pdf
Icy: an open bioimage informatics platform for extended reproducible research, Nature Methods, vol.9, issue.7, pp.690-696, 2012. ,
DOI : 10.1038/nmeth.1924
Deconvolution in Astronomy: A Review, Publications of the Astronomical Society of the Pacific, vol.114, issue.800, p.1051, 2002. ,
DOI : 10.1086/342606
URL : http://iopscience.iop.org/article/10.1086/342606/pdf
Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light, 1956. ,
DOI : 10.1017/CBO9781139644181
3-D PSF fitting for fluorescence microscopy: implementation and localization application, Journal of Microscopy, vol.46, issue.1, pp.13-25, 2013. ,
DOI : 10.1364/AO.46.001819
Solution of incorrectly formulated problems and the regularization method, Soviet Mathematics Dokl, vol.5, pp.1035-1038, 1963. ,
Extrapolation, Interpolation, and Smoothing of Stationary Time Series, 1949. ,
An Iteration Formula for Fredholm Integral Equations of the First Kind, American Journal of Mathematics, vol.73, issue.3, pp.615-624, 1951. ,
DOI : 10.2307/2372313
Bayesian-Based Iterative Method of Image Restoration*, Journal of the Optical Society of America, vol.62, issue.1, pp.55-59, 1972. ,
DOI : 10.1364/JOSA.62.000055
An iterative technique for the rectification of observed distributions, The Astronomical Journal, vol.79, issue.6, pp.745-754, 1974. ,
DOI : 10.1086/111605
Live Cell Imaging Using Wide-Field Microscopy and Deconvolution, Cell Structure and Function, vol.27, issue.5, pp.335-341, 2002. ,
DOI : 10.1247/csf.27.335
URL : https://www.jstage.jst.go.jp/article/csf/27/5/27_5_335/_pdf
Quantitative Fluorescence Microscopy and Image Deconvolution, Methods Cell Biol, vol.81, pp.447-465, 2007. ,
DOI : 10.1016/S0091-679X(06)81021-6
Calibration of Wide-Field Deconvolution Microscopy for Quantitative Fluorescence Imaging, Journal of Biomolecular Techniques : JBT, vol.25, issue.1, pp.25-31, 2014. ,
DOI : 10.7171/jbt.14-2501-002
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3942261/pdf
A learn 2D, apply 3D method for 3D deconvolution microscopy, IEEE 11th International Symposium on Biomedical Imaging (ISBI), pp.1075-1078, 2014. ,
DOI : 10.1109/isbi.2014.6868060
URL : https://hal.archives-ouvertes.fr/hal-00914839
Poisson Image Reconstruction With Hessian Schatten-Norm Regularization, IEEE Transactions on Image Processing, vol.22, issue.11, pp.4314-4327, 2013. ,
DOI : 10.1109/TIP.2013.2271852
URL : http://bigwww.epfl.ch/publications/lefkimmiatis1303.pdf
Deep convolutional neural network for image deconvolution, Advances in Neural Information Processing Systems, pp.1790-1798, 2014. ,
Proximal algorithms, Found. Trends Optim, pp.127-239, 2014. ,
DOI : 10.1561/2400000003
URL : http://www.nowpublishers.com/article/DownloadSummary/OPT-003
Superresolution with optically motivated blind deconvolution, Imaging and Applied Optics 2016, pp.3-38, 2016. ,
DOI : 10.1364/3D.2016.JT3A.38
URL : https://hal.archives-ouvertes.fr/insu-01632728
Parametric blind deconvolution: a robust method for the simultaneous estimation of image and blur, Journal of the Optical Society of America A, vol.16, issue.10, pp.2377-2391, 1999. ,
DOI : 10.1364/JOSAA.16.002377
Blind deconvolution of 3D data in wide field fluorescence microscopy, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp.1735-1738, 2012. ,
DOI : 10.1109/ISBI.2012.6235915
URL : https://hal.archives-ouvertes.fr/hal-00691249
Blind Depth-variant Deconvolution of 3D Data in Wide-field Fluorescence Microscopy, Scientific Reports, vol.9, issue.1, p.9894, 2015. ,
DOI : 10.1137/S1052623496303470
Blind Image Deconvolution Using Machine Learning for Three-Dimensional Microscopy, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.12, pp.2191-2204, 2010. ,
DOI : 10.1109/TPAMI.2010.45
Mistral: a myopic edge-preserving image restoration method, with application to astronomical adaptive-optics-corrected long-exposure images, Journal of the Optical Society of America A, vol.21, issue.10, pp.1841-1854, 2004. ,
DOI : 10.1364/JOSAA.21.001841
AIDA: an adaptive image deconvolution algorithm with application to multi-frame and three-dimensional data, Journal of the Optical Society of America A, vol.24, issue.6, pp.1580-1600, 2007. ,
DOI : 10.1364/JOSAA.24.001580
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3166524/pdf
Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF), 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.2179-2186, 2013. ,
DOI : 10.1109/CVPR.2013.283
Fast Approximations of Shift-Variant Blur, International Journal of Computer Vision, vol.23, issue.5, pp.253-278, 2015. ,
DOI : 10.1109/ICCV.2011.6126278
URL : https://hal.archives-ouvertes.fr/ujm-00979825
A Parallel Product-Convolution approach for representing the depth varying Point Spread Functions in 3D widefield microscopy based on principal component analysis, Optics Express, vol.18, issue.7, pp.6461-6476, 2010. ,
DOI : 10.1364/OE.18.006461
Image restoration for three-dimensional fluorescence microscopy using an orthonormal basis for efficient representation of depth-variant point-spread functions, Biomedical Optics Express, vol.6, issue.10, pp.3826-3841, 2015. ,
DOI : 10.1364/BOE.6.003826
Fluorescence microscopy three-dimensional depth variant point spread function interpolation using Zernike moments, Journal of the Optical Society of America A, vol.28, issue.9, pp.1864-1870, 2011. ,
DOI : 10.1364/JOSAA.28.001864
URL : https://hal.archives-ouvertes.fr/hal-00851896
Space Variant Blind Image Restoration, SIAM Journal on Imaging Sciences, vol.7, issue.4, pp.2196-2225, 2014. ,
DOI : 10.1137/130945776
URL : https://hal.archives-ouvertes.fr/hal-00735135
The Design and Implementation of FFTW3, Proc. IEEE 93 (2) (2005) 216?231. special issue on Program Generation, Optimization, and Platform Adaptation ,
DOI : 10.1109/JPROC.2004.840301