Circulating Tumour Cell Detection Based on YOLOv11 and Vascular-like Chip

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Circulating Tumour Cell Detection Based on YOLOv11 and Vascular-like Chip

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[1]LI Haoliang,QIAO Linbo,LI Jianing,et al.Circulating Tumour Cell Detection Based on YOLOv11 and Vascular-like Chip[J].Journal of Zhengzhou University (Engineering Science),2026,47(XX):1-8.[doi:10.13705/j.issn.1671-6833.2026.04.005]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 47 Number of periods: 2026 XX Page number: 1-8 Column: Public date: 2026-09-10

Title:: Circulating Tumour Cell Detection Based on YOLOv11 and Vascular-like Chip

Author(s):: LI Haoliang; QIAO Linbo; LI Jianing; YANG Xiaonan; School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China

Keywords:: microfluidics; blood circulation; vessel-like chip; circulating tumor cells; YOLOv11

CLC:: TH789 TP391.4 R318.6

DOI:: 10.13705/j.issn.1671-6833.2026.04.005

Abstract:: To address the challenge of accurately identifying low-abundance circulating tumor cell (CTC) in whole blood samples, where interference from abundant normal blood cells complicates detection, a dynamic blood circulation platform was developed. The proposed platform integrated microfluidic vascular-like chips with peristaltic pumps, employing bright-field high-speed imaging and YOLOv11 object detection to enable label-free CTC detection in whole blood. The system simulated blood flow using a peristaltic pump, creating a flowing environment with circulatory characteristics. The chip employed multi-level branching and a 40 μm micro-screen structure, with channel dimensions optimized according to cell and vascular sizes. An image dataset comprising four cell types, including CTC (human colon cancer cell HT29 model), RBC, WBC, and PLT, was constructed. The experimental results showed that the mAP of the system for CTC detection was 98.65%, and the Precision and Recall were both greater than 99%. Continuous frame online detection was demonstrated. The system could simulate in vitro blood circulation and accurately identify CTC in whole blood samples, exhibiting high accuracy and stability. It provided a novel technical approach for early tumor diagnosis.

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