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Tracking bacterial active matter in complex environments using deep learning

delete2026-06-02
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P
Patrick Grant
T
Timo A. Nieminen
H
Halina Rubinsztein‐Dunlop
A
Alexander B. Stilgoe *
DOI:10.1016/j.xcrp.2026.103338delete
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Abstract

Abstract

En 中文
• Demonstration of single-bacterium tracking in active matter with deep learning • This method generalizes the image of a single particle to track multiple particles • Single-particle-tracking methods reveal velocity information in dense samples • Deep-learning-based tracking complements regular particle tracking measurements
Keywords:
active matter
bacteria
tracking
deep learning
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Cell Reports Physical Science cover
Cell Reports Physical Science
IF:
7.3
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2.7K
Citations:
1.2W

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the university of queensland
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