TY - JOUR
T1 - Quantitative evaluation of methods to analyze motion changes in single-particle experiments
AU - Muñoz-Gil, Gorka
AU - Bachimanchi, Harshith
AU - Pineda, Jesús
AU - Midtvedt, Benjamin
AU - Fernández-Fernández, Gabriel
AU - Requena, Borja
AU - Ahsini, Yusef
AU - Asghar, Solomon
AU - Bae, Jaeyong
AU - Barrantes, Francisco J.
AU - Bender, Steen W.B.
AU - Cabriel, Clément
AU - Conejero, J. Alberto
AU - Escoto, Marc
AU - Feng, Xiaochen
AU - Haidari, Rasched
AU - Hatzakis, Nikos S.
AU - Huang, Zihan
AU - Izeddin, Ignacio
AU - Jeong, Hawoong
AU - Jiang, Yuan
AU - Kæstel-Hansen, Jacob
AU - Miné-Hattab, Judith
AU - Ni, Ran
AU - Park, Junwoo
AU - Qu, Xiang
AU - Saavedra, Lucas A.
AU - Sha, Hao
AU - Sokolovska, Nataliya
AU - Zhang, Yongbing
AU - Volpe, Giorgio
AU - Lewenstein, Maciej
AU - Metzler, Ralf
AU - Krapf, Diego
AU - Volpe, Giovanni
AU - Manzo, Carlo
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - The analysis of live-cell single-molecule imaging experiments can reveal valuable information about the heterogeneity of transport processes and interactions between cell components. These characteristics are seen as motion changes in the particle trajectories. Despite the existence of multiple approaches to carry out this type of analysis, no objective assessment of these methods has been performed so far. Here, we report the results of a competition to characterize and rank the performance of these methods when analyzing the dynamic behavior of single molecules. To run this competition, we implemented a software library that simulates realistic data corresponding to widespread diffusion and interaction models, both in the form of trajectories and videos obtained in typical experimental conditions. The competition constitutes the first assessment of these methods, providing insights into the current limitations of the field, fostering the development of new approaches, and guiding researchers to identify optimal tools for analyzing their experiments.
AB - The analysis of live-cell single-molecule imaging experiments can reveal valuable information about the heterogeneity of transport processes and interactions between cell components. These characteristics are seen as motion changes in the particle trajectories. Despite the existence of multiple approaches to carry out this type of analysis, no objective assessment of these methods has been performed so far. Here, we report the results of a competition to characterize and rank the performance of these methods when analyzing the dynamic behavior of single molecules. To run this competition, we implemented a software library that simulates realistic data corresponding to widespread diffusion and interaction models, both in the form of trajectories and videos obtained in typical experimental conditions. The competition constitutes the first assessment of these methods, providing insights into the current limitations of the field, fostering the development of new approaches, and guiding researchers to identify optimal tools for analyzing their experiments.
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U2 - 10.1038/s41467-025-61949-x
DO - 10.1038/s41467-025-61949-x
M3 - Article
AN - SCOPUS:105011936701
SN - 2041-1723
VL - 16
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 6749
ER -