Han Xie1, Xubin Zhu1, Kaiyu Chen1

  • 1The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics and Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.

ACS nano
|February 20, 2025
PubMed
概括

一个新的,具有成本效益的微生物分类系统使用金纳米粒子 (AuNPs) 的结解诱导的浮动模式和AI实现了快速识别. 这种用户友好的方法为各种微生物检测需求提供了低成本的解决方案.