Carlo Manzo

Associate Professor

University of Vic

Spain

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Carlo Manzo is an Associate Professor at the University of Vic, Spain. His research areas include stochastic processes, nanoplasmonics, HIV-1 dynamics in dendritic cells, and the characterization of anomalous diffusion. He has authored recent articles focusing on applications of geometric deep learning, nanoclustering in cellular environments, and advanced methodologies for assessing physical processes in biological systems.

Articles (10)

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (7)

Izabela Katarzyna Piechocka

Institute of Fundamental Technological Research, Polish Academy of Sciences

POLAND

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Mehmet Alican Noyan

Lecturer

Breda University of Applied Sciences

NETHERLANDS

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Stefano Bo

Lecturer

King’s College London

UNITED KINGDOM

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Felix Campelo

Institut de Ciències Fotòniques

SPAIN

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Janusz Szwabiński

University of Wrocław

POLAND

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Giovanni Volpe

Professor at University of Gothenburg

University of Gothenburg

SWEDEN

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Giorgio Volpe

Professor of Soft Matter

University College London

UNITED KINGDOM

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Carlo Manzo

Research Interests

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Articles (10)

Learning minimal representations of stochastic processes with variational autoencoders

Geometric deep learning reveals the spatiotemporal features of microscopic motion

Preface: characterisation of physical processes from anomalous diffusion data

Actin-regulated Siglec-1 nanoclustering influences HIV-1 capture and virus-containing compartment formation in dendritic cells

Broadband Plasmonic Nanoantennas for Multi‐Color Nanoscale Dynamics in Living Cells

Objective comparison of methods to decode anomalous diffusion

Shear forces induce ICAM-1 nanoclustering on endothelial cells that impact on T-cell migration.

Extreme learning machine for the characterization of anomalous diffusion from single trajectories (AnDi-ELM)

A toolkit for the quantitative evaluation of chronic wounds evolution for early detection of non-healing wounds

Direct and fast assessment of antimicrobial surface activity using molecular dynamics simulation and time-lapse imaging.

Collaborators (7)

Izabela Katarzyna Piechocka

Mehmet Alican Noyan

Stefano Bo

Felix Campelo

Janusz Szwabiński

Giovanni Volpe

Giorgio Volpe

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