A. Akhmanova and M. O. Steinmetz, Tracking the ends: a dynamic protein network controls the fate of microtubule tips, Nature Reviews Molecular Cell Biology, vol.9, 2008.

J. Apgar, Y. Tseng, E. Fedorov, M. B. Herwig, S. C. Almo et al., Multiple-particle tracking measurements of heterogeneities in solutions of actin filaments and actin bundles, Biophysical Journal, vol.79, issue.2, pp.1095-1106, 2000.

A. Benfenati, A. L. Camera, and M. Carbillet, Deconvolution of post-adaptive optics images of faint circumstellar environments by means of the inexact Bregman procedure, Astronomy & Astrophysics, vol.586, p.16, 2016.

A. Benfenati and V. Coscia, Nonlinear microscale interactions in the kinetic theory of active particles, Applied Mathematics Letters, vol.26, issue.10, pp.979-983, 2013.

A. Benfenati and V. Coscia, Modeling opinion formation in the kinetic theory of active particles i: spontaneous trend, ANNALI DELL'UNIVERSITA' DI FERRARA, vol.60, issue.1, pp.35-53, 2014.

A. Benfenati and V. Ruggiero, Inexact Bregman iteration with an application to Poisson data reconstruction, verse Problems, vol.29, p.65016, 2013.

A. Benfenati and V. Ruggiero, Image regularization for Poisson data, Journal of Physics: Conference Series, vol.657, issue.1, p.12011, 2015.

A. Benfenati and V. Ruggiero, Inexact Bregman iteration for deconvolution of superimposed extended and point sources, Communications in Nonlinear Science and Numerical Simulaion, vol.21, issue.1, pp.210-224, 2015.

S. Bonettini, A. Benfenati, and V. Ruggiero, Primal-dual first order methods for total variation image restoration in presence of Poisson noise, 2014 IEEE International Conference on Image Processing (ICIP), pp.4156-4160, 2014.

S. Bonettini, A. Benfenati, and V. Ruggiero, Scaling techniques for ? -subgradient methods, SIAM Journal on Optimization, vol.26, issue.3, pp.1741-1772, 2016.

S. Bonettini and V. Ruggiero, An alternating extragradient method for total variation-based image restoration from poisson data, Inverse Problems, vol.27, issue.9, p.95001, 2011.

K. Bredies, K. Kunisch, and T. Pock, Total generalized variation, SIAM Journal on Imaging Sciences, vol.3, issue.3, pp.492-526, 2010.

M. K. Cheezum, W. F. Walker, and W. H. Guilford, Quantitative comparison of algorithms for tracking single fluorescent particles, Biophysical Journal, vol.81, issue.4, pp.2378-2388, 2001.

D. T. Chen, E. R. Weeks, J. C. Crocker, M. F. Islam, R. Verma et al., Rheological microscopy: Local mechanical properties from microrheology, Phys. Rev. Lett, vol.90, p.108301, 2003.

N. Chenouard, I. Smal, F. De-chaumont, M. Ma?ka, I. F. Sbalzarini et al., Objective comparison of particle tracking methods, Nature Methods, vol.11, p.281, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00932869

E. Chouzenoux, A. Jezierska, J. Pesquet, and H. Talbot, A convex approach for image restoration with exact poisson-gaussian likelihood, SIAM Journal on Imaging Sciences, vol.8, issue.4, pp.2662-2682, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00922151

K. K. Chu, D. Mojahed, C. M. Fernandez, Y. Li, L. Liu et al., Particle-tracking microrheology using micro-optical coherence tomography, Biophysical Journal, vol.111, issue.5, pp.1053-1063, 2016.

M. A. Figueiredo and J. M. Bioucas-dias, Deconvolution of Poissonian images using variable augmented Lagrangian optimization, IEEE Workshop on Statistical Signal Processing, 2009.

M. Foare, J. O. Lachaud, and H. Talbot, Image restoration and segmentation using the Ambrosio-Tortorelli functional and discrete calculus, 2016 23rd International Conference on Pattern Recognition (ICPR), pp.1418-1423, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01379993

W. J. Godinez and K. Rohr, Tracking multiple particles in fluorescence time-lapse microscopy images via probabilistic data association, IEEE Transactions on Medical Imaging, vol.34, issue.2, pp.415-432, 2015.

G. Golub and C. Van-loan, Matrix Computations. Johns Hopkins Studies in the Mathematical Sciences, 2013.

P. C. Hansen, J. G. Nagy, and D. P. O'learly, Deblurring images: matrices, spectra, and filtering, 2006.

M. Husain, T. Boudier, P. Paul-gilloteaux, I. Casuso, and S. Scheuring, Software for drift compensation, particle tracking and particle analysis of high-speed atomic force microscopy image series, Journal of Molecular Recognition, vol.25, issue.5, pp.292-298, 2012.
URL : https://hal.archives-ouvertes.fr/inserm-01363229

U. Jandt and A. P. Zeng, Modeling of Intracellular Transport and Compartmentation, p.104, 2011.

M. Jenkins and S. Egelhaaf, Confocal microscopy of colloidal particles: Towards reliable, optimum coordinates, Advances in Colloid and Interface Science, vol.136, issue.1, pp.65-92, 2008.

L. L. Josephson, J. W. Swan, and E. M. Furst, In situ measurement of localization error in particle tracking microrheology, Rheologica Acta, 2018.

G. C. Kodippili, K. S. Putt, and P. S. Low, Evidence for three populations of the glucose transporter in the human erythrocyte membrane, Blood Cells, Molecules, and Diseases, vol.77, pp.61-66, 2019.

I. Kononenko and M. Kukar, Machine Learning and Data Mining: Introduction to Principles and Algorithms, 2007.

A. Kusumi, T. A. Tsunoyama, K. M. Hirosawa, R. S. Kasai, and T. K. Fujiwara, Tracking single molecules at work in living cells, Nature Chemical Biology, vol.10, 2014.

T. S. Lin, S. Zhu, S. Kojima, M. Homma, and C. J. Lo, Flil association with flagellar stator in the sodium-driven vibrio motor characterized by the fluorescent microscopy, Scientific reports, vol.8, issue.1, p.11172, 2018.

K. E. Magnusson and J. Jaldén, A batch algorithm using iterative application of the Viterbi algorithm to track cells and construct cell lineages, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp.382-385, 2012.

N. Otsu, A threshold selection method from gray-level histograms, IEEE Transactions on Systems, Man, and Cybernetics, vol.9, issue.1, pp.62-66, 1979.

É. Puybareau, H. Talbot, N. Gaber, and T. Bourouina, Morphological analysis of Brownian motion for physical measurements, Mathematical Morphology and Its Applications to Signal and Image Processing, pp.486-497, 2017.

T. Savin and P. S. Doyle, Static and dynamic errors in particle tracking microrheology, Biophysical Journal, vol.88, issue.1, pp.623-638, 2005.

T. Savin and P. S. Doyle, Static and dynamic errors in particle tracking microrheology, Biophysical Journal, vol.88, issue.1, pp.623-638, 2005.

I. Sbalzarini and P. Koumoutsakos, Feature point tracking and trajectory analysis for video imaging in cell biology, Journal of Structural Biology, vol.151, issue.2, pp.182-195, 2005.

M. T. Valentine, P. D. Kaplan, D. Thota, J. C. Crocker, T. Gisler et al., Investigating the microenvironments of inhomogeneous soft materials with multiple particle tracking, Phys. Rev. E, vol.64, p.61506, 2001.

C. E. Wagner, B. S. Turner, M. Rubinstein, G. H. Mckinley, and K. Ribbeck, A rheological study of the association and dynamics of muc5ac gels, Biomacromolecules, vol.18, issue.11, p.28903557, 2017.

L. Wen, Z. H. Zheng, A. A. Liu, C. Lv, L. J. Zhang et al., Tracking single baculovirus retrograde transportation in host cell via quantum dot-labeling of virus internal component, Journal of Nanobiotechnology, vol.15, issue.1, p.37, 2017.

,

Q. Xu, N. Boylan, J. Suk, Y. Wang, E. Nance et al., Nanoparticle diffusion in, and microrheology of, the bovine vitreous ex vivo, Journal of Controlled Release, vol.167, issue.1, pp.76-84, 2013.

C. K. Yap and H. K. Lee, Identification of cell nucleus using a Mumford-Shah ellipse detector, Advances in Visual Computing, pp.582-593, 2008.

A. Yildiz, J. N. Forkey, S. A. Mckinney, T. Ha, Y. E. Goldman et al., Myosin V walks hand-overhand: single fluorophore imaging with 1.5-nm localization, Science, vol.300, pp.2061-2065, 2003.

R. Zanella, P. Boccacci, L. Zanni, and M. Bertero, Efficient gradient projection methods for edge-preserving removal of Poisson noise, Inverse Problems, vol.25, p.45010, 2009.

R. Zanella, F. Porta, V. Ruggiero, and M. Zanetti, Serial and parallel approaches for image segmentation by numerical minimization of a second-order functional, Appl. Math. Comput, vol.318, pp.153-175, 2018.