Quantitative evaluation of methods to analyze motion changes in single-particle experiments
Abstract
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.
Cite
@article{arxiv.2311.18100,
title = {Quantitative evaluation of methods to analyze motion changes in single-particle experiments},
author = {Gorka Muñoz-Gil and Harshith Bachimanchi and Jesús Pineda and Benjamin Midtvedt and Gabriel Fernández-Fernández and Borja Requena and Yusef Ahsini and Solomon Asghar and Jaeyong Bae and Francisco J. Barrantes and Steen W. B. Bender and Clément Cabriel and J. Alberto Conejero and Marc Escoto and Xiaochen Feng and Rasched Haidari and Nikos S. Hatzakis and Zihan Huang and Ignacio Izeddin and Hawoong Jeong and Yuan Jiang and Jacob Kæstel-Hansen and Judith Miné-Hattab and Ran Ni and Junwoo Park and Xiang Qu and Lucas A. Saavedra and Hao Sha and Nataliya Sokolovska and Yongbing Zhang and Giorgio Volpe and Maciej Lewenstein and Ralf Metzler and Diego Krapf and Giovanni Volpe and Carlo Manzo},
journal= {arXiv preprint arXiv:2311.18100},
year = {2025}
}
Comments
37 pages, 8 figures. This is the author's version of the article published in Nature Communications under CC BY 4.0. The final published version is available at https://doi.org/10.1038/s41467-025-61949-x