利用基于光纤镊子的拉曼光谱和人工神经网络对单个微生物进行光流体识别(BMEMat 1/2023)

BMEMat Pub Date : 2023-03-01 DOI:10.1002/bmm2.12015
Chenghong Lin, Xiaofeng Li, Tianli Wu, Jiaqi Xu, Zhiyong Gong, Taiheng Chen, Baojun Li, Yuchao Li, Jinghui Guo, Yao Zhang
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引用次数: 0

摘要

引起疾病的病原微生物就像《西游记》中可恨的怪物。它们的机动性很强,四处游荡,很难用传统显微镜在各种物种中识别它们。在文章编号10.1002/bmm2.12007中,Y.Zhang等人开发了一种光流控方法,用于使用基于光纤镊子的拉曼光谱和人工神经网络识别微流体通道中的单个微生物。这种方法就像孙悟空(同小说中也被称为齐天大圣)拥有捕捉病原微生物的“固定咒语”和快速准确识别微生物种类的“刺眼”的超能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optofluidic identification of single microorganisms using fiber-optical-tweezer-based Raman spectroscopy with artificial neural network (BMEMat 1/2023)

Optofluidic identification of single microorganisms using fiber-optical-tweezer-based Raman spectroscopy with artificial neural network (BMEMat 1/2023)

Pathogenic microorganisms that cause diseases are like the hateful monsters in Journey to the West. With strong mobility, they keep wandering everywhere, making it very difficult to identify them in a great variety of species using conventional microscopes. In article number 10.1002/bmm2.12007, Y. Zhang et al. develop an optofluidic method for identifying single microorganisms in microfluidic channels using fiber-optical-tweezer-based Raman spectroscopy with artificial neural network. Such a method is just like Sun Wukong (also called the Great Sage Equalling Heaven in the same fiction) who owns the super power of “Immobilization Spell” that traps the pathogenic microorganisms and “Piercing Eyes” that rapidly and accurately identify the microbial species.

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