Improved detection and counting performance of microplastics in common carp whole blood by an attention-guided deep learning method

Yue Hao; Liang Zhu; Xin Wang; Peng Wang; Wen-ting Hu; Yan Zeng; Ting-ting Cao; Yi-xi Li; Lin Lin

doi:10.1117/12.2656028

19 December 2022 Improved detection and counting performance of microplastics in common carp whole blood by an attention-guided deep learning method

Yue Hao, Liang Zhu, Xin Wang, Peng Wang, Wen-ting Hu, Yan Zeng, Ting-ting Cao, Yi-xi Li, Lin Lin

Author Affiliations +

Proceedings Volume 12320, Optics in Health Care and Biomedical Optics XII; 1232027 (2022) https://doi.org/10.1117/12.2656028
Event: SPIE/COS Photonics Asia, 2022, Online Only

Conference Poster

Abstract

Microplastics are ubiquitous pollutants in the living environment and food chains. Microplastic particles were recently even discovered in human blood for the first time. For high-throughput biodistribution analysis in toxicity studies, we propose a new deep-learning-based method for the automatic identification of polystyrene particles in whole blood. Attention-YOLO helps the network improve detection accuracy by adding the channel attention mechanism to the feature extraction network. We use microscopy to collect a dataset consisting of bright-field images of particles in various colors to train and test a neural network model. Then we use the model to identify and count polystyrene particles in untrained carp blood. The experimental results show that the Attention-YOLO network, when compared to the standard YOLO network, can achieve a better detection performance of microplastics counting in carp blood without adding too many extra parameters, with improvements in the recognition accuracy of polystyrene microspheres (ps-Bs, ps-Rs, and psGs) of 0.2%, 1.1%, and 6%, respectively, and the mean Average Precision (mAP) of 2.4%.

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Yue Hao, Liang Zhu, Xin Wang, Peng Wang, Wen-ting Hu, Yan Zeng, Ting-ting Cao, Yi-xi Li, and Lin Lin "Improved detection and counting performance of microplastics in common carp whole blood by an attention-guided deep learning method", Proc. SPIE 12320, Optics in Health Care and Biomedical Optics XII, 1232027 (19 December 2022); https://doi.org/10.1117/12.2656028

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