U-Net 3+ for anomalous diffusion analysis enhanced with mixture estimates (U-AnD-ME) in particle-tracking data

U-Net 3+ for anomalous diffusion analysis enhanced with mixture estimates (U-AnD-ME) in particle-tracking data

Biophysical processes within living systems rely on encounters and interactions between molecules in complex environments such as cells. They are often described by anomalous diffusion transport. Recent advances in single-molecule microscopy and particle-tracking techniques have yielded an abundance...

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Bibliographic Details
Main Authors: Solomon Asghar, Ran Ni, Giorgio Volpe
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:JPhys Photonics
Subjects:
particle tracking
machine learning
microscopy data analysis
anomalous diffusion
Online Access:https://doi.org/10.1088/2515-7647/adf9aa
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https://doi.org/10.1088/2515-7647/adf9aa

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