Artificial Intelligence‐Empowered Automated Double Emulsion Droplet Library Generation DOI Creative Commons
Seonghun Shin, Owen Land, Warren D. Seider

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Double emulsions with core-shell structures are versatile materials used in applications such as cell culture, drug delivery, and synthesis. A droplet library precisely controlled dimensions properties would streamline screening optimization for specific applications. While microfluidic generation offers high precision, it is typically labor-intensive sensitive to disturbances, requiring continuous operator intervention. To address these limitations, we present an artificial intelligence (AI)-empowered automated double emulsion generator. This system integrates a convolutional neural network (CNN)-based object detection model, decision-making, feedback control algorithms automate collection. The monitors every 171 ms-faster than Formula 1 driver's reaction time-ensuring rapid response disturbances consistent production of single-core emulsions. It autonomously generates libraries 25 distinct monodisperse droplets user-defined properties. automation reduces labor waste, enhances supports reliable generation. We anticipate that this platform will accelerate discovery biomedical, biological, research.

Language: Английский

Artificial Intelligence‐Empowered Automated Double Emulsion Droplet Library Generation DOI Creative Commons
Seonghun Shin, Owen Land, Warren D. Seider

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Double emulsions with core-shell structures are versatile materials used in applications such as cell culture, drug delivery, and synthesis. A droplet library precisely controlled dimensions properties would streamline screening optimization for specific applications. While microfluidic generation offers high precision, it is typically labor-intensive sensitive to disturbances, requiring continuous operator intervention. To address these limitations, we present an artificial intelligence (AI)-empowered automated double emulsion generator. This system integrates a convolutional neural network (CNN)-based object detection model, decision-making, feedback control algorithms automate collection. The monitors every 171 ms-faster than Formula 1 driver's reaction time-ensuring rapid response disturbances consistent production of single-core emulsions. It autonomously generates libraries 25 distinct monodisperse droplets user-defined properties. automation reduces labor waste, enhances supports reliable generation. We anticipate that this platform will accelerate discovery biomedical, biological, research.

Language: Английский

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