封面,第四卷,第1期,2025年1月

Droplet Pub Date : 2025-01-23 DOI:10.1002/dro2.167
Negar Danesh, Matin Torabinia, Hyejin Moon
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引用次数: 0

摘要

封面:封面图像基于Danesh等人在数字微流体应用中通过深度学习识别液滴半月板的研究文章。封面描述:这项工作展示了使用U-Net深度学习模型来准确识别电介质上电润湿(EWOD)系统中的液滴半月板。通过实现高精度,即使是复杂或低质量的图像,该模型增强了液滴控制,并揭示了流体特性,反应动力学和动态行为的关键见解,提高了EWOD微流体装置的性能和可靠性。(DOI: 10.1002 / dro2.151)
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Front Cover, Volume 4, Number 1, January 2025

Front Cover, Volume 4, Number 1, January 2025

Front Cover: The cover image is based on the Research Article Droplet menisci recognition by deep learning for digital microfluidics applications by Danesh et al.

Cover description: This work showcases the use of a U-Net deep learning model to accurately identify droplet menisci in electrowetting-on-dielectric (EWOD) systems. By achieving high precision, even with complex or low-quality images, the model enhances droplet control and reveals critical insights into fluid properties, reaction kinetics, and dynamic behaviors, advancing the performance and reliability of EWOD microfluidic devices. (DOI: 10.1002/dro2.151)

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