2023
DOI: 10.1101/2023.11.09.566344
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An Artificial Intelligence-Assisted Digital Microfluidic System for Multistate Droplet Control

Kun-Lun Guo,
Ze-Rui Song,
Jia-Le Zhou
et al.

Abstract: Digital microfluidics (DMF) is a versatile technique for parallel and field-programmable control of individual droplets. Given the high freedom in droplet manipulation, it is essential to establish self-adaptive and intelligent control methods for DMF systems with informed of the transient state of droplets and their interactions. However, most related studies focus on the localization and shape recognition of droplets. Here, we develop an AI-assisted DMF framework named “μDropAI” for multistate droplet contro… Show more

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