CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data

CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data

Change point detection has become an important part of the analysis of the single-particle tracking (SPT) data, as it allows one to identify moments, in which the motion patterns of observed particles undergo significant changes. The segmentation of diffusive trajectories based on those moments may...

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Bibliographic Details
Main Authors: Jakub Malinowski, Marcin Kostrzewa, Michał Balcerek, Weronika Tomczuk, Janusz Szwabiński
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:JPhys Photonics
Subjects:
anomalous diffusion
single particle tracking
machine learning
change point detection
Online Access:https://doi.org/10.1088/2515-7647/add826
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https://doi.org/10.1088/2515-7647/add826

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