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Markerless tracking of an entire honey bee colony
https://oist.repo.nii.ac.jp/records/2024
https://oist.repo.nii.ac.jp/records/20240e3ee21d-2758-4a2b-94c2-81094db61ca5
名前 / ファイル | ライセンス | アクション |
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s41467-021-21769-1 (4.2 MB)
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Creative Commons Attribution 4.0 International(https://creativecommons.org/licenses/by/4.0/)
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s41467-021-23297-4 (344.7 kB)
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Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2021-04-28 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Markerless tracking of an entire honey bee colony | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者(英) |
Bozek, Katarzyna
× Bozek, Katarzyna× Hebert, Laetitia× Portugal, Yoann× Stephens, Greg J. |
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書誌情報 |
en : Nature Communications 巻 12, 号 1, p. 1733, 発行日 2021-03-19 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | From cells in tissue, to bird flocks, to human crowds, living systems display a stunning variety of collective behaviors. Yet quantifying such phenomena first requires tracking a significant fraction of the group members in natural conditions, a substantial and ongoing challenge. We present a comprehensive, computational method for tracking an entire colony of the honey bee Apis mellifera using high-resolution video on a natural honeycomb background. We adapt a convolutional neural network (CNN) segmentation architecture to automatically identify bee and brood cell positions, body orientations and within-cell states. We achieve high accuracy (~10% body width error in position, ~10゜error in orientation, and true positive rate > 90%) and demonstrate months-long monitoring of sociometric colony fluctuations. These fluctuations include ~24 h cycles in the counted detections, negative correlation between bee and brood, and nightly enhancement of bees inside comb cells. We combine detected positions with visual features of organism-centered images to track individuals over time and through challenging occluding events, recovering ~79% of bee trajectories from five observation hives over 5 min timespans. The trajectories reveal important individual behaviors, including waggle dances and crawling inside comb cells. Our results provide opportunities for the quantitative study of collective bee behavior and for advancing tracking techniques of crowded systems. | |||||
出版者 | ||||||
出版者 | nature portfolio | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2041-1723 | |||||
PubMed番号 | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | PMID | |||||
関連識別子 | info:pmid/33741938 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1038/s41467-021-21769-1 | |||||
権利 | ||||||
権利情報 | © 2021 The Author(s). | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://www.nature.com/articles/s41467-021-21769-1 | |||||
関連名称 | First published article | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://www.nature.com/articles/s41467-021-23297-4 | |||||
関連名称 | Correction | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |