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AI-assisted real-time parallel cell sorting with holographic optical trapping

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【作者】邓如平；卢开鹏；杨嘉豪；豆秀婕；吴晓静；闵长俊；袁武；张聿全；袁小聪；刘伟伟；

【Author】 Ruping Deng;Kaipeng Lu;Jiahao Yang;Xiujie Dou;Xiaojing Wu;ChangJun Min;Wu Yuan;Yuquan Zhang;Xiaocong Yuan;Weiwei Liu;Institute of Modern Optics, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Nankai University;Nanophotonics Research Centre, Institute of Microscale Optoelectronics & State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University;School of Integrated Circuits, Harbin Institute of Technology (Shenzhen);Department of Public Health, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University;Department of Biomedical Engineering, The Chinese University of Hong Kong;

【通讯作者】张聿全;刘伟伟;

【机构】 Institute of Modern Optics, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Nankai University； Nanophotonics Research Centre, Institute of Microscale Optoelectronics & State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University； School of Integrated Circuits, Harbin Institute of Technology (Shenzhen)； Department of Public Health, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University； Department of Biomedical Engineering, The Chinese University of Hong Kong；

【摘要】 Live cell sorting enables the acquisition of highly purified and functionally preserved populations for applications in disease diagnosis, stem cell research, and precision medicine. However, achieving high-efficiency and fully automated sorting remains challenging. Here, we present a real-time parallel AI holographic optical tweezer(PAIHOT) system that integrates YOLOv11n detection with Kalman filtering and class-matching for stable multi-target tracking and prediction in real time.Predicted trajectories guide the optical trap to the cell periphery, thereby reducing photodamage compared to conventional center-focused trapping. Experimental results demonstrated that PAIHOT achieves sorting purities exceeding 91% across multiple cell types, and the viability assays confirm intact morphology and strong growth activity. The PAIHOT enables highaccuracy, parallel, and low-damage cell sorting in dynamic microscopic environments, providing an effective and robust platform for intelligent, high-throughput single-cell research.更多还原

【Abstract】 Live cell sorting enables the acquisition of highly purified and functionally preserved populations for applications in disease diagnosis, stem cell research, and precision medicine. However, achieving high-efficiency and fully automated sorting remains challenging. Here, we present a real-time parallel AI holographic optical tweezer(PAIHOT) system that integrates YOLOv11n detection with Kalman filtering and class-matching for stable multi-target tracking and prediction in real time.Predicted trajectories guide the optical trap to the cell periphery, thereby reducing photodamage compared to conventional center-focused trapping. Experimental results demonstrated that PAIHOT achieves sorting purities exceeding 91% across multiple cell types, and the viability assays confirm intact morphology and strong growth activity. The PAIHOT enables highaccuracy, parallel, and low-damage cell sorting in dynamic microscopic environments, providing an effective and robust platform for intelligent, high-throughput single-cell research.更多还原

【关键词】 parallel cell sorting； holographic optical tweezer； AI algorithm； microfluidic chip； live cell viability；
【Key words】 parallel cell sorting； holographic optical tweezer； AI algorithm； microfluidic chip； live cell viability；

【基金】 supported by the Shenzhen Medical Research Fund (No. D250403001);the National Natural Science Foundation of China (Nos. 62375177, 62575184, and 82172699);the Shenzhen Science and Technology Program(No. RCJC20210609103232046);the Project of DEGP(No. 2024ZDZX2019);the Research Team Cultivation Program of Shenzhen University (No. 2023QNT014)

【文献出处】 Chinese Optics Letters ,中国光学快报(英文版) , 编辑部邮箱 ,2026年06期

【分类号】TP18;Q-05

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