Quantitative evaluation of methods to analyze motion changes in single-particle experiments
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2023
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| author | Muñoz-Gil, Gorka Bachimanchi, Harshith Pineda, Jesús Midtvedt, Benjamin Fernández-Fernández, Gabriel Requena, Borja Ahsini, Yusef Asghar, Solomon Bae, Jaeyong Barrantes, Francisco J. Bender, Steen W. B. Cabriel, Clément Conejero, J. Alberto Escoto, Marc Feng, Xiaochen Haidari, Rasched Hatzakis, Nikos S. Huang, Zihan Izeddin, Ignacio Jeong, Hawoong Jiang, Yuan Kæstel-Hansen, Jacob Miné-Hattab, Judith Ni, Ran Park, Junwoo Qu, Xiang Saavedra, Lucas A. Sha, Hao Sokolovska, Nataliya Zhang, Yongbing Volpe, Giorgio Lewenstein, Maciej Metzler, Ralf Krapf, Diego Volpe, Giovanni Manzo, Carlo |
| author_facet | Muñoz-Gil, Gorka Bachimanchi, Harshith Pineda, Jesús Midtvedt, Benjamin Fernández-Fernández, Gabriel Requena, Borja Ahsini, Yusef Asghar, Solomon Bae, Jaeyong Barrantes, Francisco J. Bender, Steen W. B. Cabriel, Clément Conejero, J. Alberto Escoto, Marc Feng, Xiaochen Haidari, Rasched Hatzakis, Nikos S. Huang, Zihan Izeddin, Ignacio Jeong, Hawoong Jiang, Yuan Kæstel-Hansen, Jacob Miné-Hattab, Judith Ni, Ran Park, Junwoo Qu, Xiang Saavedra, Lucas A. Sha, Hao Sokolovska, Nataliya Zhang, Yongbing Volpe, Giorgio Lewenstein, Maciej Metzler, Ralf Krapf, Diego Volpe, Giovanni Manzo, Carlo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_18100 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Quantitative evaluation of methods to analyze motion changes in single-particle experiments Muñoz-Gil, Gorka Bachimanchi, Harshith Pineda, Jesús Midtvedt, Benjamin Fernández-Fernández, Gabriel Requena, Borja Ahsini, Yusef Asghar, Solomon Bae, Jaeyong Barrantes, Francisco J. Bender, Steen W. B. Cabriel, Clément Conejero, J. Alberto Escoto, Marc Feng, Xiaochen Haidari, Rasched Hatzakis, Nikos S. Huang, Zihan Izeddin, Ignacio Jeong, Hawoong Jiang, Yuan Kæstel-Hansen, Jacob Miné-Hattab, Judith Ni, Ran Park, Junwoo Qu, Xiang Saavedra, Lucas A. Sha, Hao Sokolovska, Nataliya Zhang, Yongbing Volpe, Giorgio Lewenstein, Maciej Metzler, Ralf Krapf, Diego Volpe, Giovanni Manzo, Carlo Soft Condensed Matter Biological Physics Data Analysis, Statistics and Probability Quantitative Methods 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. |
| title | Quantitative evaluation of methods to analyze motion changes in single-particle experiments |
| topic | Soft Condensed Matter Biological Physics Data Analysis, Statistics and Probability Quantitative Methods |
| url | https://arxiv.org/abs/2311.18100 |