Publications
Geometric deep learning reveals the spatiotemporal features of microscopic motion
Jesús Pineda, Benjamin Midtvedt, Harshith Bachimanchi, Sergio Noé, Daniel Midtvedt, Giovanni Volpe, & Carlo Manzo
Nature Machine Intelligence 5, 71-82 (2023)
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arXiv:2202.06355
Preface: characterisation of physical processes from anomalous diffusion data
Carlo Manzo, Gorka Muñoz-Gil, Giovanni Volpe, Miguel Angel Garcia-March, Maciej Lewenstein, & Ralf Metzler
Journal of Physics A: Mathematical and Theoretical 56, 010401 (2023)
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arXiv:2301.00800
Broadband Plasmonic Nanoantennas for Multi-Color Nanoscale Dynamics in Living Cells
Maria Sanz-Paz, Thomas S. van Zanten, Carlo Manzo, Mathieu Mivelle, & Maria F. Garcia-Parajo
Small in press (2023)
doi: 10.1002/smll.202207977
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Objective comparison of methods to decode anomalous diffusion
Gorka Muñoz-Gil, Giovanni Volpe, …, Maciej Lewenstein, Ralf Metzler, and Carlo Manzo
Nature Communications 12, 6253 (2021)
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arXiv:2105.06766
Extreme Learning Machine for the Characterization of Anomalous Diffusion from Single Trajectories
Carlo Manzo
Journal of Physics A: Mathematical and Theoretical 54, 334002 (2021)
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arXiv:2105.02597
A toolkit for the quantitative evaluation of chronic wounds evolution for early detection of non-healing wounds
Marta Cullell-Dalmau, Marta Otero-Viñas, Marta Ferrer-Solà, Helena Sureda-Vidal, and Carlo Manzo
Journal of Tissue Viability 30 (2), 161-167 (2021)
doi: 10.1016/j.jtv.2021.02.009
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Convolutional Neural Network for Skin Lesion Classification: Understanding the Fundamentals Through Hands-On Learning
Marta Cullell-Dalmau, Sergio Noé, Marta Otero-Viñas, Ivan Meić, and Carlo Manzo
Frontiers in Medicines 8, 13 (2021)
doi: 10.3389/fmed.2021.644327
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Shear forces induce ICAM-1 nanoclustering on endothelial cells that impact on T cell migration
Izabela K Piechocka, Sarah Keary, Alberto Sosa-Costa, Lukas Lau, Nitin Mohan, Jelena Stanisavljevic, Kyra JE Borgman, Melike Lakadamyali, Carlo Manzo, Maria F Garcia-Parajo
Biophysical Journal 120, 2644-2656 (2021)
doi: 10.1016/j.bpj.2021.05.016
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The anomalous diffusion challenge: single trajectory characterisation as a competition
Gorka Muñoz-Gil, Giovanni Volpe, Miguel Angel García-March, Ralf Metzler, Maciej Lewenstein, and Carlo Manzo
In: Emerging Topics in Artificial Intelligence 2020 11469, 114691C (2020) – International Society for Optics and Photonics
doi: 10.1117/12.2567914
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arXiv:2003.12036
A machine learning method for single trajectory characterization
G. Muñoz-Gil, M. A. Garcia-March, C. Manzo, J. D. Martín-Guerrero, and M. Lewenstein
New Journal of Physics 22 (1), 013010 (2020)
doi: 10.1088/1367-2630/ab6065
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arXiv:1903.02850
Bayesian analysis of data from segmented super-resolution images for quantifying protein clustering
T. Kosǔta, M. Cullell-Dalmau, F. Cella Zanacchi, and C. Manzo
Physical Chemistry Chemical Physics 22, 1107-1114 (2020)
doi: 10.1039/C9CP05616E
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arXiv:1909.13133
Research Techniques Made Simple: Deep Learning for the Classification of Dermatological Images
Marta Cullell-Dalmau, Marta Otero-Viñas, and Carlo Manzo
Journal of Investigative Dermatology 140 (3), 507-514.e1 (2020)
doi: 10.1016/j.jid.2019.12.029
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Dynamic actin-mediated nano-scale clustering of CD44 regulates its meso-scale organization at the plasma membrane
Parijat Sil, Nicolas Mateos, Sangeeta Nath, Sonja Buschow, Carlo Manzo, Kenichi G. N. Suzuki, Takahiro Fujiwara, Akihiro Kusumi, Maria F. Garcia-Parajo, and Satyajit Mayor
Molecular Biology of the Cell 31 (7), 561-579 (2020)
doi: 10.1091/mbc.E18-11-0715
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Membrane receptor MerTK is a newly identified transcriptional regulator that associates to chromatin as nanoclusters during human DC differentiation
Kyra JE Borgman, Georgina Flórez-Grau, Maria A Ricci, Carlo Manzo, Melike Lakadamyali, Alessandra Cambi, Daniel Benítez-Ribas, Felix Campelo, Maria F Garcia-Parajo
biorXiv (2020)
doi: 10.1101/2020.04.16.044974
biorXiv
Direct and fast assessment of antimicrobial surface activity using molecular dynamics simulation and time-lapse imaging
Rafaël Sibilo, Ilaria Mannelli, Ramon Reigada, Carlo Manzo, Mehmet A Noyan, Prantik Mazumder, and Valerio Pruneri
Analytical Chemistry 92 (10), 6795-6800 (2020)
doi: 10.1021/acs.analchem.0c00367
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Quantifying motor protein copy number in super-resolution using an imaging invariant calibration
F. Cella Zanacchi, C. Manzo, R. Magrassi, N.D. Derr, M. Lakadamyali
Biophysical Journal 116, 2195-2203 (2019)
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Diffusion through a network of compartments separated by partially-transmitting boundaries
G. Muñoz-Gil, M.A. García-March, C. Manzo, A. Celi, M. Lewenstein
Frontiers in Physics 7, 31 (2019)
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doi: 10.3389/fphy.2019.00031
Inhomogeneous membrane receptor diffusion explained by a fractional heteroscedastic time series model
M. Balcerek, H. Loch-Olszewska, J. A. Torreño-Piña, M. F. Garcia-Parajo, A. Weron, C. Manzo, K. Burnecki
Physical Chemistry Chemical Physics 21, 3114-3121 (2019)
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PLANT: A method for detecting changes of slope in noisy trajectories
A. Sosa-Costa, I. K. Piechocka, L. Gardini, F. S. Pavone, M. Capitanio, M. F. Garcia-Parajo, C. Manzo
Biophysical Journal 114, 2044-2051 (2018)
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Separating actin-dependent chemokine receptor nanoclustering from dimerization indicates a role for clustering in CXCR4 signaling and function
L. Martínez-Muñoz, J. Rodríguez-Frade, R. Barroso, C. O. S. Sorzano, J. A. Torreño-Pina, C. A. Santiago, C. Manzo, P. Lucas, E. M. García-Cuesta, E. Gutierrez, L. Barrio, J. Vargas, G. Cassio, Y. R. Carrasco, F. Sánchez-Madrid, M. F. García-Parajo, M. Mellado
Molecular Cell 70, 106-119 (2018)
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Transient subdiffusion from an Ising environment
G. Muñoz-Gil, C. Charalambous, M. A. García-March, M. F. Garcia-Parajo, C. Manzo, M. Lewenstein, and A. Celi
Physical Review E 96, 052140 (2017)
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Planar optical nanoantennas resolve cholesterol-dependent nanoscale heterogeneities in the plasma membrane of living cells
R. Regmi, P. M. Winkler, V. Flauraud, K. J. E. Borgman, C. Manzo, J. Brugger, H. Rigneault, J. Wenger, M. F. García-Parajo
Nano Letters 17, 6295-6302 (2017)
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A DNA origami platform for quantifying protein copy number in super-resolution
F. Cella Zanacchi, C. Manzo, A. S. Alvarez, N. D. Derr, M. F. Garcia-Parajo, M. Lakadamyali
Nature Methods 14, 789-792 (2017)
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Nonergodic subdiffusion from transient interactions with heterogeneous partners
C. Charalambous, G. Muñoz-Gil, A. Celi, M. F. Garcia-Parajo, M. Lewenstein, C. Manzo, M. A. García-March
Physical Review E 95, 032403 (2017)
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Changes in membrane sphingolipid composition modulate dynamics and adhesion of integrin nanoclusters
C. Eich, C. Manzo, S. de Keijzer, G.-J. Bakker, I. Reinieren-Beeren, M. F. Garcia-Parajo, A. Cambi
Scientific Reports 6, 20693 (2016)
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Uncovering homo-and hetero-interactions on the cell membrane using single particle tracking approaches
J. A. Torreno-Pina, C. Manzo, M. F. Garcia-Parajo
Journal of Physics D: Applied Physics 49 (10), 104002 (2016)
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