基于图像拼接技术,在多个视野中快速检测和分析细菌的拉曼光谱
Xiaohui Dou1, Fengna Yang1, Nan Wang2
1Department of Biomedical Engineering, Wenzhou Medical University, 325035 Wenzhou, Zhejiang, China.
Frontiers in bioscience (Landmark edition)
|November 2, 2023
概括
快速检测抗生素耐药细菌使用拉曼光谱和图像拼接. 这种自动化方法提供了高通量,非侵入性识别,对于选有效的抗生素和了解病原体传播至关重要.
科学领域:
- 微生物学和光谱学
- 细菌病原和药物耐药性 细菌病原和药物耐药性
背景情况:
- 抗生素耐药性是一个日益增长的全球健康威胁,需要快速检测方法.
- 在抗生素影响下的重水的细菌代谢产生了独特的拉曼光谱特征 (C-D峰值).
研究的目的:
- 开发和验证用于识别抗生素耐药细菌的自动化,高通量方法.
- 为了克服高放大显微镜中单细胞检测的局限性.
主要方法:
- 整合图像拼接,图像识别,拉曼光谱和峰值搜索算法.
- 在多个视野中同时识别和定位单个细菌细胞.
- 基于特征性的拉曼光谱峰值对抗微生物耐药细菌的歧视.
主要成果:
- 在两个实验中,在多个视野中检测到2706和2048种细菌.
- 在各自的实验中,对抗生素耐药性细菌的鉴定率为42%和53%.
- 与传统的手动检测方法相比,证明了更高的速度和准确性.
结论:
- 基于图像拼接的拉曼光谱分析使单个细菌细胞的无人监护,快速和准确的检测成为可能.
- 这种高通量,非侵入性方法对于选有效的抗生素和研究抗生素耐药性机制非常有价值.
相关概念视频
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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
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