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基于计算机视觉的人工智能为多重复合微流体数字免疫测试提供编码解码.

Weiqi Zhao1, Yang Zhou1,2, Yao-Ze Feng2

  • 1College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei China.

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|July 17, 2023
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概括

一种新的多维数字免疫测试使用微粒编码和AI解码来进行敏感的多重检测. 这项技术提供了对多个目标的快速,准确的分析,推进了生物传感应用.

关键词:
生物标志物生物标志物计算机视觉 计算机视觉数字免疫测试是一种数字免疫测试.机器学习是机器学习.微流体学 在微流体学方面多重检测检测多重检测检测

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科学领域:

  • 生物技术是生物技术.
  • 分析化学 分析化学
  • 人工智能的人工智能

背景情况:

  • 数字免疫测试对于临床诊断,食品安全和环境监测至关重要,要求多重能力,高灵敏度和负担能力.
  • 目前的方法通常面临多重复合,灵敏度或操作便利性的局限性.

研究的目的:

  • 开发一个多维数字免疫测试,集成基于微粒的编码和基于AI的解码.
  • 为了实现多个目标的灵敏,多重检测,方便操作.

主要方法:

  • 利用基于大小,数量和颜色的微粒编码来进行多重信息存储.
  • 雇佣基于计算机视觉的人工智能用于图像分析,解码编码信息和视觉输出.
  • 集成光学显微镜成像与微流体平台的无编码解码.

主要成果:

  • 成功开发了一种能够同时分析多个目标的多维数字免疫试验.
  • 对于炎症标志物和抗生素具有高度敏感性和广泛的检测范围 (pg/mL至μg/mL).
  • 在30分钟内完成分析,展示了方便的操作.

结论:

  • 开发的微流体数字免疫测试为下一代多重生物传感提供了一个强大的平台.
  • 基于人工智能的解码与微粒子编码的整合提供了一个智能和高效的生物测试解决方案.
  • 这项技术对于需要快速和灵敏的多重检测的各种应用具有显著的前景.