Automatic classification of behavior in zebrafish larva. Jouary, A. & Sumbre, G. bioRxiv, 5, 2016.
Paper
Website doi abstract bibtex Zebrafish larvae navigate the environment by discrete episode of propulsion called bouts. We introduce a novel method for automatically classifying zebrafish tail movements. We used a supervised soft-clustering algorithm to categorize tail bouts into 5 categories of movements: Scoot, Asymmetrical Scoot, Routine Turn, C Bend and Burst. Tail bouts were correctly classified with 82% chance while errors in the classification occurred mostly between similar categories. Although previous studies have performed categorization of behavior in free-swimming conditions, our method does not rely on the analysis of the trajectories and can be applied in both head-fixed and free-swimming conditions.
@article{
title = {Automatic classification of behavior in zebrafish larva},
type = {article},
year = {2016},
pages = {1-14},
websites = {http://biorxiv.org/content/early/2016/05/10/052324},
month = {5},
id = {4427a90b-6883-3395-a816-f90305a2660e},
created = {2017-01-30T08:33:22.000Z},
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last_modified = {2019-09-26T14:44:45.738Z},
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abstract = {Zebrafish larvae navigate the environment by discrete episode of propulsion called bouts. We introduce a novel method for automatically classifying zebrafish tail movements. We used a supervised soft-clustering algorithm to categorize tail bouts into 5 categories of movements: Scoot, Asymmetrical Scoot, Routine Turn, C Bend and Burst. Tail bouts were correctly classified with 82% chance while errors in the classification occurred mostly between similar categories. Although previous studies have performed categorization of behavior in free-swimming conditions, our method does not rely on the analysis of the trajectories and can be applied in both head-fixed and free-swimming conditions.},
bibtype = {article},
author = {Jouary, Adrien and Sumbre, German},
doi = {10.1101/052324},
journal = {bioRxiv}
}
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