@inproceedings{05f902c7b9734fd0ba832dd2df1acc48,
title = "Smart Pattern Generation on Programmable Dielectrophoresis Array Chip for Single Particle Manipulation",
abstract = "Dielectrophoresis (DEP) is a powerful tool for manipulating biological cells. However, single cell manipulation is usually time-consuming and skill-intensive. This paper presents a system that integrates AI for real-time image recognition with a programmable dielectrophoresis (DEP) array chip for automated particle manipulation. The system comprises a DEP chip, an FPGA, a computer, a microscope, and a server. The YOLO v8 model is used to detect particle positions within microscope images and generate DEP manipulation patterns. The system utilizes a Breadth-First Search (BFS) algorithm for path planning, ensuring collision-free movement of particles within a grid structure. Experimental results demonstrated the system's effectiveness in manipulating 20 μm polystyrene particles with a success rate of over 90\%. This system offers a significant advancement in automated DEP-based manipulation, providing precise control at micro scales with high computational efficiency.",
keywords = "DEP, Dielectrophoresis, Image Recognition, Particle Manipulation, YOLO v8",
author = "Wang, \{Yu Hsiang\} and Lin, \{Wen Yue\} and Lai, \{Lin Hung\} and Lee, \{Chen Yi\}",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025 ; Conference date: 25-05-2025 Through 28-05-2025",
year = "2025",
doi = "10.1109/ISCAS56072.2025.11043554",
language = "English",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings",
address = "美國",
}