A. Basset, J. Boulanger, J. Salamero, P. Bouthemy, and C. Kervrann, Adaptive Spot Detection With Optimal Scale Selection in Fluorescence Microscopy Images, IEEE Transactions on Image Processing, vol.24, issue.11, pp.4512-4527, 2015.
DOI : 10.1109/TIP.2015.2450996
URL : https://hal.archives-ouvertes.fr/hal-01248290

P. De-boer, J. P. Hoogenboom, and B. N. Gipemans, Correlated light and electron microscopy: Ultastructure lights up! Nature Methods, pp.503-513, 2015.

T. Cao, C. Zach, S. Modla, D. Powell, K. Czymmek et al., Multi-modal registration for correlative microscopy using image analogies, Medical Image Analysis, vol.18, issue.6, pp.914-926, 2014.
DOI : 10.1016/j.media.2013.12.005
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4062605

S. Cha, Comprehensive survey on distance/similarity measures between probability density functions, Int. J. of Math. Models and Methods in Applied Sciences, vol.1, issue.4, pp.300-307, 2007.

B. N. Giepmans, Bridging fluorescence microscopy and electron microscopy, Histochemistry and Cell Biology, vol.3, issue.6, pp.211-217, 2008.
DOI : 10.1007/s00418-008-0460-5

S. Handschuh, N. Baeumler, T. Schwaha, and B. Ruthensteiner, A correlative approach for combining microCT, light and transmission electron microscopy in a single 3D scenario, Frontiers in Zoology, vol.10, issue.1, p.44, 2013.
DOI : 10.1038/nmeth.2072

X. Heiligenstein, The CryoCapsule: Simplifying Correlative Light to Electron Microscopy, Traffic, vol.61, issue.6, pp.700-716, 2014.
DOI : 10.1111/tra.12164

L. Hodgson, D. Nam, J. Mantell, A. Achim, and P. Verkade, Retracing in Correlative Light Electron Microscopy, Methods Cell Biol, vol.124, pp.1-21, 2014.
DOI : 10.1016/B978-0-12-801075-4.00001-X

T. Jabid, M. H. Kabir, and O. Chae, Facial expression recognition using Local Directional Pattern (LDP), 2010 IEEE International Conference on Image Processing, 2010.
DOI : 10.1109/ICIP.2010.5652374

W. Kukulski, Precise, Correlated Fluorescence Microscopy and Electron Tomography of Lowicryl Sections Using Fluorescent Fiducial Markers, Methods Cell Biol, vol.111, pp.235-257, 2012.
DOI : 10.1016/B978-0-12-416026-2.00013-3

D. Nam, J. Mantell, L. Hodgson, D. Bull, P. Verkade et al., Feature-based registration for correlative light and electron microscopy images, 2014 IEEE International Conference on Image Processing (ICIP), 2014.
DOI : 10.1109/ICIP.2014.7025724

J. Odobez and P. Bouthemy, Robust Multiresolution Estimation of Parametric Motion Models, Journal of Visual Communication and Image Representation, vol.6, issue.4, pp.348-365, 1995.
DOI : 10.1006/jvci.1995.1029
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.3782

M. Perkovic, Correlative Light- and Electron Microscopy with chemical tags, Journal of Structural Biology, vol.186, issue.2, pp.205-213, 2014.
DOI : 10.1016/j.jsb.2014.03.018
URL : http://doi.org/10.1016/j.jsb.2014.03.018

A. Sartori, Correlative microscopy: Bridging the gap between fluorescence light microscopy and cryo-electron tomography, Journal of Structural Biology, vol.160, issue.2, pp.135-145, 2007.
DOI : 10.1016/j.jsb.2007.07.011

C. Spiegelhalter, J. F. Laporte, and Y. Schwab, Correlative Light and Electron Microscopy: From Live Cell Dynamic to 3D Ultrastructure, Methods in Molecular Biology, vol.111721, pp.484-501, 2014.
DOI : 10.1007/978-1-62703-776-1_21
URL : https://hal.archives-ouvertes.fr/hal-00452375