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AlphaTracker: a multi-animal tracking and behavioral analysis tool
Abstract: Computer vision has emerged as a powerful tool to elevate behavioral research. This protocol describes a computer vision machine learning pipeline called AlphaTracker, which has minimal hardware requirements and produces reliable tracking of multiple unmarked animals, as well as behavioral clustering.
Zexin Chen, Ruihan Zhang, Hao-Shu Fang, Yu E. Zhang, Aneesh Bal, Haowen Zhou, Rachel R. Rock, Nancy Padilla-Coreano, Laurel R. Keyes, Haoyi Zhu 朱皓怡, Yong-Lu Li, Takaki Komiyama, Kay M. Tye, Cewu Lu
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AlphaTracker: a multi-animal tracking and behavioral analysis tool
Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation
Abstract： 3D subtomogram image alignment, clustering, and segmentation are vital to macromolecular structure recognition in cryo-electron tomography (cryo-ET). However, acquiring ground-truth labels to train a unified deep learning model that can simultaneously deal with these tasks is unaffordable.
Haoyi Zhu 朱皓怡, Chuting Wang, Yuanxin Wang, Zhaoxin Fan, Mostofa Rafid Uddin, Xin Gao, Jing Zhang, Xiangrui Zeng, Min Xu
Cite PDF DOI ICIP 2022
Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation
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