D. Axelrod, D. E. Koppel, J. Schlessinger, E. Elson, and W. W. Webb, Mobility measurement by analysis of fluorescence photobleaching recovery kinetics, Biophys J, vol.16, pp.1055-69, 1976.

D. Magde, W. Webb, and E. Elson, Thermodynamic fluctuations in a reacting system-measurement by fluorescence correlation spectroscopy, Phys Rev Lett, vol.29, p.705, 1972.

H. Geerts, D. Brabander, M. Nuydens, R. Geuens, S. Moeremans et al., Nanovid tracking: a new automatic method for the study of mobility in living cells based on colloidal gold and video microscopy, Biophys J, vol.52, p.83271, 1987.

H. Geerts, M. De-brabander, and R. Nuydens, Nanovid microscopy, Nature, vol.351, pp.765-771, 1991.

R. Heim, D. C. Prasher, and R. Y. Tsien, Wavelength mutations and posttranslational autoxidation of green fluorescent protein, Proc Natl Acad Sci, vol.91, pp.12501-12505, 1994.

R. Heim and R. Y. Tsien, Engineering green fluorescent protein for improved brightness, longer wavelengths and fluorescence resonance energy transfer, Curr Biol, vol.6, pp.178-82, 1996.

M. V. Matz, A. F. Fradkov, Y. A. Labas, A. P. Savitsky, A. G. Zaraisky et al., Fluorescent proteins from nonbioluminescent Anthozoa species, Nat Biotechnol, vol.17, pp.969-73, 1999.

S. W. Hell and J. Wichmann, Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopy, Opt Lett, vol.19, pp.780-782, 1994.

E. Betzig, G. H. Patterson, R. Sougrat, O. W. Lindwasser, S. Olenych et al., Imaging intracellular fluorescent proteins at nanometer resolution, Science, vol.313, pp.1642-1647, 2006.

S. T. Hess, T. P. Girirajan, and M. D. Mason, Ultra-high resolution imaging by fluorescence photoactivation localization microscopy, Biophys J, vol.91, p.2222, 2006.

T. A. Klar, S. Jakobs, M. Dyba, A. Egner, and S. W. Hell, Fluorescence microscopy with diffraction resolution barrier broken by stimulated emission, Proc Natl Acad Sci, vol.97, pp.8206-8216, 2000.

M. J. Rust, M. Bates, and X. Zhuang, Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM), Nat Methods, vol.3, pp.793-798, 2006.

S. Manley, J. M. Gillette, G. H. Patterson, H. Shroff, H. F. Hess et al., High-density mapping of single-molecule trajectories with photoactivated localization microscopy, Nat Methods, vol.5, pp.155-162, 2008.

C. Eggeling, C. Ringemann, R. Medda, G. Schwarzmann, K. Sandhoff et al., Direct observation of the nanoscale dynamics of membrane lipids in a living cell, Nature, vol.457, pp.1159-62, 2009.

P. Sarkar and A. Chattopadhyay, Exploring membrane organization at varying spatiotemporal resolutions utilizing fluorescence-based approaches: implications in membrane biology, Phys Chem Chem Phys, vol.21, pp.11554-63, 2019.

H. Liu, Z. Ye, X. Wang, L. Wei, and L. Xiao, Molecular and living cell dynamic assays with optical microscopy imaging techniques, Analyst, vol.144, pp.859-71, 2019.

D. G. Priest, A. Solano, J. Lou, and E. Hinde, Fluorescence fluctuation spectroscopy: an invaluable microscopy tool for uncovering the biophysical rules for navigating the nuclear landscape, Biochem Soc Trans, vol.47, pp.1117-1146, 2019.

F. Hoefling and T. Franosch, Anomalous transport in the crowded world of biological cells, Rep Prog Phys, vol.76, p.46602, 2013.

F. Etoc, E. Balloul, C. Vicario, D. Normanno, D. Lie et al., Non-specific interactions govern cytosolic diffusion of nanosized objects in mammalian cells, Nat Mater, vol.17, pp.740-746, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01871099

A. V. Weigel, B. Simon, M. M. Tamkun, and D. Krapf, Ergodic and nonergodic processes coexist in the plasma membrane as observed by single-molecule tracking, Proc Natl Acad Sci, vol.108, pp.6438-6481, 2011.

D. Ernst, M. Hellmann, J. Köhler, and M. Weiss, Fractional brownian motion in crowded fluids, Soft Matter, vol.8, pp.4886-4895, 2012.

E. Kepten, I. Bronshtein, and Y. Garini, Ergodicity convergence test suggests telomere motion obeys fractional dynamics, Phys Rev E, vol.83, p.41919, 2011.

K. Burnecki, E. Kepten, J. Janczura, I. Bronshtein, Y. Garini et al., Universal algorithm for identification of fractional brownian motion. A case of telomere subdiffusion, Biophys J, vol.103, pp.1839-1886, 2012.

V. Rcamier, I. Izeddin, L. Bosanac, M. Dahan, F. Proux et al., Single cell correlation fractal dimension of chromatin: a framework to interpret 3D single molecule super-resolution, Nucleus, vol.5, pp.75-84, 2014.

M. R. Shaebani and H. Rieger, Transient anomalous diffusion in run-and-tumble dynamics, Front Phys, vol.7, p.120, 2019.

A. E. Hafner, L. Santen, H. Rieger, and M. R. Shaebani, Run-and-pause dynamics of cytoskeletal motor proteins, Sci Rep, vol.6, p.37162, 2016.

J. F. Reverey, J. H. Jeon, H. Bao, M. Leippe, R. Metzler et al., Superdiffusion dominates intracellular particle motion in the supercrowded cytoplasm of pathogenic, Acanthamoeba castellanii. Sci Rep, vol.5, p.11690, 2015.

L. Bruno, V. Levi, M. Brunstein, and M. A. Despósito, Transition to superdiffusive behavior in intracellular actin-based transport mediated by molecular motors, Phys Rev E, vol.80, p.11912, 2009.

G. Campagnola, K. Nepal, B. W. Schroder, O. B. Peersen, and D. Krapf, Superdiffusive motion of membrane-targeting C2 domains, Sci Rep, vol.5, p.17721, 2015.

R. Metzler, J. H. Jeon, A. G. Cherstvy, and E. Barkai, Anomalous diffusion models and their properties: non-stationarity, non-ergodicity, and ageing at the centenary of single particle tracking, Phys Chem Chem Phys, vol.16, pp.24128-64, 2014.

G. P. Pavlos, L. P. Karakatsanis, M. N. Xenakis, E. G. Pavlos, A. C. Iliopoulos et al., Universality of non-extensive Tsallis statistics and time series analysis: theory and applications, Phys A Stat Mech Appl, vol.395, pp.58-95, 2014.

E. K. Lenzi, H. V. Ribeiro, A. A. Tateishi, R. S. Zola, and L. R. Evangelista, Anomalous diffusion and transport in heterogeneous systems separated by a membrane, Proc R Soc A Math Phys Eng Sci, vol.472, 2016.

L. Wawrezinieck, H. Rigneault, D. Marguet, and P. F. Lenne, Fluorescence correlation spectroscopy diffusion laws to probe the submicron cell membrane organization, Biophys J, vol.89, pp.4029-4071, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00079155

Z. Petrek and P. Schwille, Precise measurement of diffusion coefficients using scanning fluorescence correlation spectroscopy, Biophys J, vol.94, pp.1437-1485, 2008.

A. Honigmann, V. Mueller, H. Ta, A. Schoenle, E. Sezgin et al., Scanning STED-FCS reveals spatiotemporal heterogeneity of lipid interaction in the plasma membrane of living cells, Nat Commun, vol.5, p.5412, 2014.

M. A. Digman, C. M. Brown, P. Sengupta, P. W. Wiseman, A. R. Horwitz et al., Measuring fast dynamics in solutions and cells with a laser scanning microscope, Biophys J, vol.89, pp.1317-1344, 2005.

B. Kannan, J. Y. Har, P. Liu, I. Maruyama, J. L. Ding et al., Electron multiplying charge-coupled device camera based fluorescence correlation spectroscopy, Anal Chem, vol.78, pp.3444-51, 2006.

E. Elson, Fluorescence correlation spectroscopy: past, present, future, Biophys J, vol.101, pp.2855-70, 2011.

J. He, S. M. Guo, and M. Bathe, Bayesian approach to the analysis of fluorescence correlation spectroscopy data I: theory, Anal Chem, vol.84, pp.3871-3880, 2012.

S. M. Guo, J. He, N. Monnier, G. Sun, T. Wohland et al., Bayesian approach to the analysis of fluorescence correlation spectroscopy data II: application to simulated and in vitro data, Anal Chem, vol.84, pp.3880-3888, 2012.

P. F. Lenne, L. Wawrezinieck, F. Conchonaud, O. Wurtz, A. Boned et al., Dynamic molecular confinement in the plasma membrane by microdomains and the cytoskeleton meshwork, EMBO J, vol.25, pp.3245-56, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00103901

C. Favard, J. Wenger, P. F. Lenne, and H. Rigneault, FCS diffusion laws in two-phase lipid membranes: determination of domain mean size by experiments and Monte Carlo simulations, Biophys J, vol.100, pp.1242-51, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00630228

D. S. Banks, C. Tressler, R. D. Peters, F. Hfling, and C. Fradin, Characterizing anomalous diffusion in crowded polymer solutions and gels over five decades in time with variable-lengthscale fluorescence correlation spectroscopy, Soft Matter, vol.12, pp.4190-203, 2016.

A. Masuda, K. Ushida, and T. Okamoto, Direct observation of spatiotemporal dependence of anomalous diffusion in inhomogeneous fluid by samplingvolume-controlled fluorescence correlation spectroscopy, Phys Rev E, vol.72, p.60101, 2005.

F. Schneider, D. Waithe, S. Galiani, B. De-la-serna, J. Sezgin et al., Nanoscale spatiotemporal diffusion modes measured by simultaneous confocal and stimulated emission depletion nanoscopy imaging, Nano Lett, vol.18, pp.4233-4273, 2018.

S. Veerapathiran and T. Wohland, The imaging FCS diffusion law in the presence of multiple diffusive modes, Methods, pp.140-141, 2018.

M. Tokunaga, N. Imamoto, and K. Sakata-sogawa, Highly inclined thin illumination enables clear single-molecule imaging in cells, Nat Methods, vol.5, pp.159-61, 2008.

I. Izeddin, V. Récamier, L. Bosanac, . Cisséii, L. Boudarene et al., Single-molecule tracking in live cells reveals distinct target-search strategies of transcription factors in the nucleus, eLife, vol.3, p.2230, 2014.

R. Metzler, V. Tejedor, J. H. Jeon, Y. He, W. H. Deng et al., Analysis of single particle trajectories: from normal to anomalous diffusion, Acta Phys Pol B, vol.40, p.1315, 2009.

D. Ernst, J. Köhler, and M. Weiss, Probing the type of anomalous diffusion with single-particle tracking, Phys Chem Chem Phys, vol.16, pp.7686-91, 2014.

D. Florens-zmirou, On estimating the diffusion coefficient from discrete observations, J Appl Probab, vol.30, p.790, 1993.

M. Hoffmann, On estimating the diffusion coefficient: parametric versus nonparametric, IHP Probab Stat, vol.37, pp.339-72, 2001.

H. Qian, M. P. Sheetz, and E. L. Elson, Single particle tracking. Analysis of diffusion and flow in two-dimensional systems, Biophys J, vol.60, pp.910-931, 1991.

X. Michalet and A. J. Berglund, Optimal diffusion coefficient estimation in single-particle tracking, Phys Rev E, vol.85, p.61916, 2012.

Z. Liu, W. R. Legant, B. C. Chen, L. Li, J. B. Grimm et al., 3D imaging of Sox2 enhancer clusters in embryonic stem cells, eLife, vol.3, p.4236, 2014.

X. Michalet, Mean square displacement analysis of single-particle trajectories with localization error: Brownian motion in an isotropic medium, Phys Rev E, vol.82, p.41914, 2010.

D. Boyer, D. S. Dean, C. Mejía-monasterio, and G. Oshanin, Optimal estimates of the diffusion coefficient of a single brownian trajectory, Phys Rev E, vol.85, p.31136, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00696477

A. S. Hansen, M. Woringer, J. B. Grimm, L. D. Lavis, R. Tjian et al., Robust model-based analysis of single-particle tracking experiments with spot-on, eLife, vol.7, p.33125, 2018.

N. Monnier, S. M. Guo, M. Mori, J. He, P. Lénárt et al., Bayesian approach to MSD-based analysis of particle motion in live cells, Biophys J, vol.103, pp.616-642, 2012.

N. Monnier, Z. Barry, H. Y. Park, K. C. Su, Z. Katz et al., Inferring transient particle transport dynamics in live cells, Nat Methods, vol.12, pp.838-878, 2015.

P. J. Slator, C. W. Cairo, and N. J. Burroughs, Detection of diffusion heterogeneity in single particle tracking trajectories using a hidden Markov model with measurement noise propagation, PLoS ONE, vol.10, p.140759, 2015.

P. J. Slator and N. Burroughs, A hidden Markov model for detecting confinement in single particle tracking trajectories, bioRXiv, p.275107, 2018.

D. M. Blei, A. Kucukelbir, and J. D. Mcauliffe, Variational inference: a review for statisticians, vol.112, pp.859-77, 2016.

F. Persson, M. Lindn, C. Unoson, and J. Elf, Extracting intracellular diffusive states and transition rates from single-molecule tracking data, Nat Methods, vol.10, pp.265-274, 2013.

M. Lindén and J. Elf, Variational algorithms for analyzing noisy multistate diffusion trajectories, Biophys J, vol.115, pp.276-82, 2018.

J. B. Masson, D. Casanova, S. Türkcan, G. Voisinne, M. R. Popoff et al., Inferring maps of forces inside cell membrane microdomains, Phys Rev Lett, vol.102, p.48103, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00811680

M. El-beheiry, M. Dahan, and J. B. Masson, InferenceMAP: mapping of singlemolecule dynamics with Bayesian inference, Nat Methods, vol.12, pp.594-599, 2015.

C. Floderer, J. B. Masson, E. Boilley, S. Georgeault, P. Merida et al., Single molecule localisation microscopy reveals how HIV-1 Gag proteins sense membrane virus assembly sites in living host CD4 T cells, Sci Rep, vol.8, p.16283, 2018.
URL : https://hal.archives-ouvertes.fr/pasteur-01930758

G. Guigas and M. Weiss, Sampling the cell with anomalous diffusion-the discovery of slowness, Biophys J, vol.94, pp.90-94, 2008.

V. P. Shkilev, A kinetic model for fluorescence microscopy experiments in disordered media that contains binding sites and obstacles, Phys Rev E, vol.98, p.32140, 2018.

J. Krog, L. H. Jacobsen, F. W. Lund, D. Wstner, and M. A. Lomholt, Bayesian model selection with fractional Brownian motion, J Stat Mech Theory Exp, p.93501, 2018.

D. Boyer, D. S. Dean, C. Mejia-monasterio, and G. Oshanin, On ergodic least-squares estimators of the generalized diffusion coefficient for fractional Brownian motion, Biophys J, vol.87, p.30103, 2013.

A. Robson, K. Burrage, and M. C. Leake, Inferring diffusion in single live cells at the single-molecule level, Philos Trans R Soc B Biol Sci, vol.368, 2012.

M. Hellmann, J. Klafter, D. W. Heermann, and M. Weiss, Challenges in determining anomalous diffusion in crowded fluids, J Phys Condens Matter, vol.23, p.234113, 2011.

M. Magdziarz, A. Weron, K. Burnecki, and J. Klafter, Fractional Brownian motion versus the continuous-time random walk: a simple test for subdiffusive dynamics, Phys Rev Lett, vol.103, p.180602, 2009.

S. Condamin, O. Bénichou, V. Tejedor, R. Voituriez, and J. Klafter, Firstpassage times in complex scale-invariant media, Nature, vol.450, pp.77-80, 2007.

S. Condamin, V. Tejedor, R. Voituriez, O. Benichou, and J. Klafter, Probing microscopic origins of confined subdiffusion by first-passage observables, Proc Natl Acad Sci, vol.105, pp.5675-80, 2008.

S. Thapa, M. A. Lomholt, J. Krog, A. G. Cherstvy, and R. Metzler, Bayesian analysis of single-particle tracking data using the nested-sampling algorithm: maximumlikelihood model selection applied to stochastic-diffusivity data, Phys Chem Chem Phys, vol.20, pp.29018-29055, 2018.

S. C. Weber, M. A. Thompson, W. E. Moerner, A. J. Spakowitz, and J. A. Theriot, Analytical tools to distinguish the effects of localization error, confinement, and medium elasticity on the velocity autocorrelation function, Biophys J, vol.102, pp.2443-50, 2012.

C. L. Vestergaard, P. C. Blainey, and H. Flyvbjerg, Optimal estimation of diffusion coefficients from single-particle trajectories, Phys Rev E, vol.89, p.22726, 2014.

A. Amitai, Chromatin configuration affects the dynamics and distribution of a transiently interacting protein, Biophys J, vol.114, pp.766-71, 2019.

A. S. Hansen, A. Amitai, C. Cattoglio, R. Tjian, and X. Darzacq, Guided nuclear exploration increases CTCF target search efficiency, bioRXiv, p.495457, 2018.

S. Türkcan, A. Alexandrou, and J. B. Masson, A Bayesian inference scheme to extract diffusivity and potential fields from confined single-molecule trajectories, Biophys J, vol.102, pp.2288-98, 2012.

J. B. Masson, P. Dionne, C. Salvatico, M. Renner, C. G. Specht et al., Mapping the energy and diffusion landscapes of membrane proteins at the cell surface using high-density single-molecule imaging and Bayesian inference: application to the multiscale dynamics of glycine receptors in the neuronal membrane, Biophys J, vol.106, pp.74-83, 2014.

D. S. Martin, M. B. Forstner, and J. A. Ks, Apparent subdiffusion inherent to single particle tracking, Biophys J, vol.83, pp.2109-2126, 2002.

N. Chenouard, I. Smal, F. De-chaumont, M. Maka, I. F. Sbalzarini et al., Objective comparison of particle tracking methods, Nat Methods, vol.11, pp.281-290, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00932869

D. Sage, P. Ta, H. Babcock, T. Lukes, T. Pengo et al., Superresolution fight club: assessment of 2D & 3D single-molecule localization microscopy software, Nat Methods, vol.16, pp.387-95, 2019.

G. Muñoz-gil, G. Volpe, M. A. Garcia-march, R. Metzler, M. Lewenstein et al., AnDi: the anomalous diffusion challenge