Detecting directed motion and confinement in single-particle trajectories using hidden variables Article Swipe
François Simon
,
Guillaume Ramadier
,
Inès Fonquernie
,
Janka Zsok
,
Sergiy Patskovsky
,
Michel Meunier
,
Caroline Boudoux
,
Elisa Dultz
,
Lucien E. Weiss
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.7554/elife.99347
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.7554/elife.99347
Single-particle tracking is a powerful tool for understanding protein dynamics and characterizing microenvironments. As the motion of unconstrained nanoscale particles is governed by Brownian diffusion, deviations from this behavior are biophysically insightful. However, the stochastic nature of particle movement and the presence of localization error pose a challenge for the robust classification of non-Brownian motion. Here, we present aTrack, a versatile tool for classifying track behaviors and extracting key parameters for particles undergoing Brownian, confined, or directed motion. Our tool quickly and accurately estimates motion parameters from individual tracks. Further, our tool can analyze populations of tracks and determine the most likely number of motion states. We show the working range of our approach on simulated tracks and demonstrate its application for characterizing particle motion in cells and for biosensing applications. aTrack is implemented as a stand-alone software, making it simple to analyze track data.
Related Topics
Concepts
Brownian motion
Tracking (education)
Particle (ecology)
Motion (physics)
Range (aeronautics)
Statistical physics
Computer science
Trajectory
Diffusion
Match moving
Biological system
Artificial intelligence
Physics
Algorithm
Engineering
Geology
Oceanography
Psychology
Biology
Quantum mechanics
Pedagogy
Aerospace engineering
Thermodynamics
Astronomy
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.7554/elife.99347
- OA Status
- gold
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401119080
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401119080Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.7554/elife.99347Digital Object Identifier
- Title
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Detecting directed motion and confinement in single-particle trajectories using hidden variablesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-07-30Full publication date if available
- Authors
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François Simon, Guillaume Ramadier, Inès Fonquernie, Janka Zsok, Sergiy Patskovsky, Michel Meunier, Caroline Boudoux, Elisa Dultz, Lucien E. WeissList of authors in order
- Landing page
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https://doi.org/10.7554/elife.99347Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.7554/elife.99347Direct OA link when available
- Concepts
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Brownian motion, Tracking (education), Particle (ecology), Motion (physics), Range (aeronautics), Statistical physics, Computer science, Trajectory, Diffusion, Match moving, Biological system, Artificial intelligence, Physics, Algorithm, Engineering, Geology, Oceanography, Psychology, Biology, Quantum mechanics, Pedagogy, Aerospace engineering, Thermodynamics, AstronomyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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56Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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