L. Heaney, D. J. Jones, and T. Suzuki, Mass spectrometry in medicine: a technology for the future?, Future Science OA, vol.3, issue.3, 2017.
DOI : 10.1373/clinchem.2016.264853
URL : https://www.future-science.com/doi/pdf/10.4155/fsoa-2017-0053

I. Sodal, The medical mass spectrometer, Biomedical Instrumentation & Technology, vol.23, issue.6, pp.469-476, 1989.

O. Gaillot, N. Blondiaux, C. Loiez, F. Wallet, N. Lemaitre et al., Cost-Effectiveness of Switch to Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Routine Bacterial Identification, Journal of Clinical Microbiology, vol.49, issue.12, pp.4412-4412, 2011.
DOI : 10.1128/JCM.05429-11

S. A. Schwartz, R. J. Weil, M. D. Johnson, S. A. Toms, and R. M. Caprioli, Protein Profiling in Brain Tumors Using Mass Spectrometry: Feasibility of a New Technique for the Analysis of Protein Expression, Clinical Cancer Research, vol.10, issue.3, pp.981-987, 2004.
DOI : 10.1158/1078-0432.CCR-0927-3

F. J. Belas and I. A. Blair, MASS SPECTROMETRY IN PHARMACEUTICAL ANALYSIS*, Journal of Liposome Research, vol.70, issue.3, pp.309-342, 2001.
DOI : 10.1021/ac971036l

A. Ferrige, M. Seddon, B. Green, S. Jarvis, J. Skilling et al., Disentangling electrospray spectra with maximum entropy, Rapid Communications in Mass Spectrometry, vol.63, issue.11, pp.707-711, 1992.
DOI : 10.1007/978-94-009-3049-0_8

A. Mohammad-djafari, J. Giovannelli, G. Demoment, and J. Idier, Regularization, maximum entropy and probabilistic methods in mass spectrometry data processing problems, Detectors and the Measurement of Mass Spectra, pp.175-193, 2002.
DOI : 10.1016/S1387-3806(01)00562-0
URL : http://www.irccyn.ec-nantes.fr/~idier/./pub/Djafari02a.pdf

J. Samuelsson, D. Dalevi, F. Levander, and T. Rognvaldsson, Modular, scriptable and automated analysis tools for high-throughput peptide mass fingerprinting, Bioinformatics, vol.20, issue.18, pp.3628-3635, 2004.
DOI : 10.1093/bioinformatics/bth460
URL : https://academic.oup.com/bioinformatics/article-pdf/20/18/3628/522544/bth460.pdf

B. Y. Renard, M. Kirchner, H. Steen, J. A. Steen, and F. A. Hamprecht, NITPICK: peak identification for mass spectrometry data, BMC Bioinformatics, vol.9, issue.1, p.355, 2008.
DOI : 10.1186/1471-2105-9-355
URL : https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-9-355?site=bmcbioinformatics.biomedcentral.com

D. P. Kilgour, S. Hughes, S. L. Kilgour, C. L. Mackay, M. Palmblad et al., Autopiquer - a Robust and Reliable Peak Detection Algorithm for Mass Spectrometry, Journal of The American Society for Mass Spectrometry, vol.20, issue.2, pp.253-262, 2017.
DOI : 10.1016/j.jasms.2008.12.015
URL : http://irep.ntu.ac.uk/id/eprint/29324/1/6668_Kilgour.pdf

J. Yergey, A general approach to calculating isotopic distributions for mass spectrometry, International Journal of Mass Spectrometry and Ion Physics, vol.52, issue.2-3, pp.337-349, 1983.
DOI : 10.1016/0020-7381(83)85053-0

P. Kaur and P. Connor, Use of Statistical Methods for Estimation of Total Number of Charges in a Mass Spectrometry Experiment, Analytical Chemistry, vol.76, issue.10, pp.2756-2762, 2004.
DOI : 10.1021/ac035334w

M. Mann, C. K. Meng, and J. B. Fenn, Interpreting mass spectra of multiply charged ions, Analytical Chemistry, vol.61, issue.15, pp.1702-1708, 1989.
DOI : 10.1021/ac00190a023

G. Audi and A. Wapstra, The 1993 atomic mass evaluation, Nuclear Physics A, vol.565, issue.1, pp.1-65, 1993.
DOI : 10.1016/0375-9474(93)90024-R
URL : https://hal.archives-ouvertes.fr/in2p3-00014428

K. Rosman and P. Taylor, Table of isotopic masses and natural abundances, Pure and Applied Chemistry, vol.71, pp.1593-1607, 1999.

F. Bach, R. Jenatton, J. Mairal, and G. Obozinski, Structured Sparsity through Convex Optimization, Statistical Science, vol.27, issue.4, pp.450-468, 2012.
DOI : 10.1214/12-STS394
URL : https://hal.archives-ouvertes.fr/hal-00621245

A. Cherni, E. Chouzenoux, and D. , Proximity for a class of hybrid sparsity + entropy prior. Application to DOSY NMR signal reconstruction, Proceedings of the 8th International Symposium on Signal, Image, Video and Communications, pp.21-23, 2016.

A. Chambolle and T. Pock, A First-Order Primal-Dual Algorithm for Convex Problems with??Applications to Imaging, Journal of Mathematical Imaging and Vision, vol.60, issue.5, pp.120-145, 2011.
DOI : 10.1007/978-3-540-74936-3_22
URL : https://hal.archives-ouvertes.fr/hal-00490826

N. Komodakis and J. Pesquet, Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems, IEEE Signal Processing Magazine, vol.32, issue.6, pp.31-54, 2015.
DOI : 10.1109/MSP.2014.2377273
URL : https://hal.archives-ouvertes.fr/hal-01010437

H. H. Bauschke and P. L. Combettes, Convex analysis and monotone operator theory in Hilbert spaces, CMS Books in Mathematics, 2011.
DOI : 10.1007/978-3-319-48311-5
URL : https://hal.archives-ouvertes.fr/hal-01517477

J. Moreau, Proximit?? et dualit?? dans un espace hilbertien, Bulletin de la Société mathématique de France, pp.273-299, 1965.
DOI : 10.24033/bsmf.1625

L. Condat, A Primal???Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms, Journal of Optimization Theory and Applications, vol.23, issue.1???2, pp.460-479, 2013.
DOI : 10.1081/NFA-120003674
URL : https://hal.archives-ouvertes.fr/hal-00609728

M. Senko, J. Speir, and F. Mclafferty, Collisional Activation of Large Multiply Charged Ions Using Fourier Transform Mass Spectrometry, Analytical Chemistry, vol.66, issue.18, pp.2801-2808, 1994.
DOI : 10.1021/ac00090a003

M. Agthoven, M. Delsuc, G. Bodenhausen, and C. Rolando, Towards analytically useful two-dimensional Fourier transform ion cyclotron resonance mass spectrometry, Analytical and Bioanalytical Chemistry, vol.57, issue.168, pp.51-61, 2013.
DOI : 10.1021/ac00291a039
URL : https://hal.archives-ouvertes.fr/hal-00743945