Quantitative evaluation of methods to analyze motion changes in single-particle experiments
Abstract
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.
Article Details
Authors (36)
Gorka Muñoz-Gil
Harshith Bachimanchi
Jesús Pineda
Benjamin Midtvedt
Gabriel Fernández-Fernández
Borja Requena
Yusef Ahsini
Solomon Asghar
Jaeyong Bae
Francisco J. Barrantes
Steen W. B. Bender
Clément Cabriel
J. Alberto Conejero
Marc Escoto
Xiaochen Feng
State Key Laboratory of Bioinspired Interfacial Materials Science, School of Chemistry
Rasched Haidari
Nikos S. Hatzakis
Zihan Huang
Ignacio Izeddin
Hawoong Jeong
Yuan Jiang
Jacob Kæstel-Hansen
Judith Miné-Hattab
Ran Ni
Junwoo Park
Xiang Qu
Lucas A. Saavedra
Hao Sha
Nataliya Sokolovska
Yongbing Zhang
Giorgio Volpe
Maciej Lewenstein
Ralf Metzler
Institute of Physics and Astronomy, University of Potsdam 2 , 14476 Potsdam,
Diego Krapf
Department of Electrical and Computer Engineering and School of Biomedical Engineering, Colorado State University
Giovanni Volpe
Carlo Manzo