Enhancing diffusion estimation in single-particle experiments through motion change analysis using deep learning

Enhancing diffusion estimation in single-particle experiments through motion change analysis using deep learning

Diffusion is a fundamental process in many scientific disciplines, and accurately characterizing diffusion at the single-molecule level is crucial for understanding complex dynamic systems. To advance and benchmark anomalous diffusion (AnDi) analysis methods in the presence of motion changes, an int...

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Bibliographic Details
Main Authors: Xiaochen Feng, Yuan Jiang, Hao Sha, Wenzhen Zou, Chunyu Chen, Taiqin Chen, Xiangyu Chen, Yongbing Zhang
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:JPhys Photonics
Subjects:
anomalous diffusion
single-particle tracking
deep learning
AnDi2 challenge
Online Access:https://doi.org/10.1088/2515-7647/add978
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https://doi.org/10.1088/2515-7647/add978

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