UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Quantitative evaluation of methods to analyze motion changes in single-particle experiments

Munoz-Gil, Gorka; Bachimanchi, Harshith; Pineda, Jesus; Midtvedt, Benjamin; Fernandez-Fernandez, Gabriel; Requena, Borja; Ahsini, Yusef; ... Manzo, Carlo; + view all (2025) Quantitative evaluation of methods to analyze motion changes in single-particle experiments. Nature Communications , 16 (1) , Article 6749. 10.1038/s41467-025-61949-x. Green open access

[thumbnail of Quantitative evaluation of methods to analyze motion changes in single-particle experiments.pdf]
Preview
Text
Quantitative evaluation of methods to analyze motion changes in single-particle experiments.pdf - Published Version

Download (3MB) | Preview

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.

Type: Article
Title: Quantitative evaluation of methods to analyze motion changes in single-particle experiments
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41467-025-61949-x
Publisher version: https://doi.org/10.1038/s41467-025-61949-x
Language: English
Additional information: © 2025 Springer Nature. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Chemistry
URI: https://discovery.ucl.ac.uk/id/eprint/10212902
Downloads since deposit
1Download
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item