A. Dufour, V. Shinin, S. Tajbakhsh, N. Guillen, J. Olivo-marin et al., Segmenting and tracking fluorescent cells in dynamic 3-D microscopy with coupled active surfaces, IEEE Transactions on Image Processing, vol.14, issue.9, pp.1396-1410, 2005.
DOI : 10.1109/TIP.2005.852790

URL : https://hal.archives-ouvertes.fr/hal-00014483

K. Mosaliganti, L. Cooper, R. Sharp, R. Machiraju, G. Leone et al., Reconstruction of Cellular Biological Structures from Optical Microscopy Data, IEEE Transactions on Visualization and Computer Graphics, vol.14, issue.4, pp.863-876, 2008.
DOI : 10.1109/TVCG.2008.30

G. Lin, U. Adiga, K. Olson, J. F. Guzowski, C. A. Barnes et al., A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks, Cytometry, vol.20, issue.1, pp.23-36, 2003.
DOI : 10.1002/cyto.a.10079

J. Cheng and J. C. Rajapakse, Segmentation of Clustered Nuclei With Shape Markers and Marking Function, IEEE Transactions on Biomedical Engineering, vol.56, issue.3, pp.741-748, 2009.
DOI : 10.1109/TBME.2008.2008635

G. Li, T. Liu, A. Tarokh, J. Nie, L. Guo et al., 3D cell nuclei segmentation based on gradient flow tracking, BMC Cell Biology, vol.8, issue.1, pp.1471-2121, 2007.
DOI : 10.1186/1471-2121-8-40

D. Thomann, D. R. Rines, P. K. Sorger, and G. Danuser, Automatic fluorescent tag detection in 3D with superresolution: application to the analysis of chromosome movement, Journal of Microscopy, vol.208, 2002.

D. Sage, H. Hediger, S. M. Gasser, and M. Unser, Automatic tracking of particles in dynamic fluorescence microscopy, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the, pp.582-586, 2003.
DOI : 10.1109/ISPA.2003.1296963

T. Pécot, A. Chessel, S. Bardin, J. Salamero, P. Bouthemy et al., Conditional Random Fields for object and background estimation in fluorescence video-microscopy, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.734-737, 2009.
DOI : 10.1109/ISBI.2009.5193152

S. R. Sternberg, Biomedical Image Processing, Computer, vol.16, issue.1, pp.22-34, 1983.
DOI : 10.1109/MC.1983.1654163

L. Vincent, Morphological grayscale reconstruction in image analysis: applications and efficient algorithms, IEEE Transactions on Image Processing, vol.2, issue.2, pp.176-201, 1993.
DOI : 10.1109/83.217222

A. Chessel, B. Cinquin, S. Bardin, C. Kervrann, and J. Salamero, Computational Geometry-Based Scale-Space and Modal Image Decomposition, Conference on Scale Space and Variational Methods, pp.770-781, 2009.
DOI : 10.1080/03605309908821476

URL : https://hal.archives-ouvertes.fr/hal-00794884

J. C. Olivo-marin, Extraction of spots in biological images using multiscale products, Pattern Recognition, vol.35, issue.9, pp.1989-1996, 2002.
DOI : 10.1016/S0031-3203(01)00127-3

J. L. Starck, J. Fadili, and F. Murtagh, The Undecimated Wavelet Decomposition and its Reconstruction, IEEE Transactions on Image Processing, vol.16, issue.2, pp.297-309, 2007.
DOI : 10.1109/TIP.2006.887733

URL : https://hal.archives-ouvertes.fr/hal-00080092

P. K. Sahoo, D. W. Slaaf, and T. A. Albert, Threshold selection using a minimal histogram entropy difference, Society of Photo-Optical Instrumentation Engineers, vol.36, 1997.

L. D. Cohen and R. Kimmel, Global minimum for active contour models: a minimal path approach, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.57-78, 1997.
DOI : 10.1109/CVPR.1996.517144

V. Racine, M. Saschse, J. Salamero, V. Fraisier, A. Trubuil et al., Visualization and quantification of vesicle trafficking on a 3D cytoskeleton network in living cells, Journal of Microscopy, pp.214-228, 2007.

L. D. Cohen, Minimal Paths and Fast Marching Methods for Image Analysis, Mathematical Models in Computer Vision: the Handbook, 2005.
DOI : 10.1007/0-387-28831-7_6