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WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
https://oist.repo.nii.ac.jp/records/2141
https://oist.repo.nii.ac.jp/records/2141b43ea2cd-b5df-4c88-8620-6e955dc7dfe5
名前 / ファイル | ライセンス | アクション |
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Hebert-2021-WormPose_ Image synthesis and conv (2.2 MB)
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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 | 2021-05-28 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans | |||||
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) |
Hebert, Laetitia
× Hebert, Laetitia× Ahamed, Tosif× Costa, Antonio C.× O’Shaughnessy, Liam× Stephens, Greg J. |
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書誌情報 |
en : PLOS Computational Biology 巻 17, 号 4, p. e1008914, 発行日 2021-04-27 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | An important model system for understanding genes, neurons and behavior, the nematode worm C. elegans naturally moves through a variety of complex postures, for which estimation from video data is challenging. We introduce an open-source Python package, WormPose, for 2D pose estimation in C. elegans, including self-occluded, coiled shapes. We leverage advances in machine vision afforded from convolutional neural networks and introduce a synthetic yet realistic generative model for images of worm posture, thus avoiding the need for human-labeled training. WormPose is effective and adaptable for imaging conditions across worm tracking efforts. We quantify pose estimation using synthetic data as well as N2 and mutant worms in on-food conditions. We further demonstrate WormPose by analyzing long ( approximately ~8 hour), fast-sampled ( approximately ~ 30 Hz) recordings of on-food N2 worms to provide a posture-scale analysis of roaming/dwelling behaviors. | |||||
出版者 | ||||||
出版者 | Public Library of Science | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1553-7358 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1553-734X | |||||
PubMed番号 | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | PMID | |||||
関連識別子 | info:pmid/33905413 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1371/journal.pcbi.1008914 | |||||
権利 | ||||||
権利情報 | © 2021 Hebert et al. | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008914 | |||||
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 |