Fully On-Smartphone: Efficient Speed-Up of Sperm Tracking Algorithm for Point-of-Care Semen Analysis

This accessible pointofcare solution has the potential to broaden male infertility screening in lowresource settings.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tbme.2025.3615264
Primary Topic
Insect and Arachnid Ecology and Behavior
Type
article
Field-Weighted Citation Impact
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article

Fully On-Smartphone: Efficient Speed-Up of Sperm Tracking Algorithm for Point-of-Care Semen Analysis

Chao Du, Yongbin Zheng, Bolun Wang, Jiachun Zheng et al.
IEEE Transactions on Biomedical Engineering
Insect and Arachnid Ecology and Behavior
article

Fully On-Smartphone: Efficient Speed-Up of Sperm Tracking Algorithm for Point-of-Care Semen Analysis

Chao Du, Yongbin Zheng, Bolun Wang, Jiachun Zheng, Yufei Jin, Xiliang Wang, Zongjie Huang, Junhui Zhu, Aojun Jiang, Rongan Zhai, Zhongneng Ma, Yang Han, Chunfeng Yue, Zhuoran Zhang, Miao Hao, Yuexin Yu, Changhai Ru
article en

Abstract

This accessible pointofcare solution has the potential to broaden male infertility screening in lowresource settings.

IEEE Transactions on Biomedical EngineeringVol. PP
Shanghai University (CN), University of Toronto (CA), Suzhou University of Science and Technology (CN), Soochow University (CN), Suzhou Institute of Biomedical Engineering and Technology (CN), Chinese University of Hong Kong, Shenzhen (CN), General Hospital of Shenyang Military Region (CN)
Openalex Percentile: Top 71%
Insect and Arachnid Ecology and Behavior
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