Rare bioparticle detection via deep metric learning
Shaobo Luo, Yuzhi Shi, L. K. Chin, Yi Zhang, Bihan Wen, Ying Sun, Bình Thị Thanh Nguyễn, Giovanni Chierchia, Hugues Talbot, Tarik Bourouina, Xudong Jiang, A. Q. Liu · RSC Advances · 2021
) detection in drinking water. Experimental results showed that the deep metric neural network achieved a high accuracy of 99.86% in classification, 98.89% in precision rate, 99.16% in recall rate and zero false alarm rate. The reported model empowers imaging flow cytometry with capabilities of biomedical diagnosis, environmental monitoring, and other biosensing applications.