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暗场照明增强人工智能辅助的数字微流体,用于现场检测病原体

Zerui Song¹, Jingsong Xu², Kunlun Guo¹

¹Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education & State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, 200237, China.

Analytica chimica acta

|December 2, 2025

概括

这项研究介绍了一种新的-锡-氧化物 (ITO) -数字微流体 (DMF) 平台,该平台使用暗场成像来改善人工智能 (AI) 对病原体检测的控制. 由人工智能辅助的系统实现了高精度和快速检测Mycoplasma pneumoniae.

科学领域:

微流体学微流体学
人工智能的人工智能
计算机视觉计算机视觉
病原体检测检测病原体检测

背景情况:

数字微流体 (DMF) 系统利用人工智能用于病原体检测中的自动滴滴控制.
传统的成像方法在油介质中扎着低滴滴对比度,限制了AI的性能.
增强滴滴可见性对于基于AI的准确识别和微流体应用中的特征提取至关重要.

研究的目的:

开发一个集成的-锡-氧化物 (ITO) -DMF平台,用于人工智能驱动的滴滴操纵,增强光学能力.
为了提高对比度和识别油介质中的水滴,以实现更强大的AI控制.
通过人工智能辅助的视觉反来验证平台在自动病原体检测方面的有效性.

主要方法:

集成了一个ITO-DMF平台与可切换的双模式光学系统.
采用暗场成像模式与传导照明来增强滴滴对比度.
利用深度学习模型进行基于暗场成像的对象检测和语义细分.
通过从临床样本中自动,多步检测Mycoplasma pneumoniae的系统进行了验证.

主要成果:

暗场成像模式显著提高了滴滴对比度,使得高性能AI模型成为可能.
在对象检测 (mAP50 = 98.3%) 和语义细分 (mIoU = 98.2%) 中取得了出色的结果.
在11分钟内证明了Mycoplasma pneumoniae的自动检测,与qPCR100%一致.

结论:

将暗场照明集成到DMF平台中对于强大的AI驱动视觉反和自动化过程控制至关重要.
拟议的ITO-DMF平台为人工智能辅助的微流体应用提供了多功能和可扩展的解决方案.
这项技术在临床检测,DNA存储,单细胞分析和合成生物学方面表现有前途.

关键词:

暗场照明暗场照明数字微流体学数字微流体学滴滴处理滴滴处理肺炎的神经质菌.

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