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Updated: Jun 21, 2026

Localization and Relative Quantification of Carbon Nanotubes in Cells with Multispectral Imaging Flow Cytometry
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解码隐藏的特征在近红外光光谱的单壁碳纳米管通过机器学习用于多重病毒识别的近红外光光谱

Changyu Tian1, Seungju Lee1, Seongcheol Park1

  • 1School of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.

ACS nano
|June 27, 2025
PubMed
概括

机器学习解码单壁碳纳米管 (SWCNTs) 中隐藏的光谱特征,用于高度敏感的多重光学传感. 这种方法可以在超低度检测致病病毒,即使在复杂的生物样本.

关键词:
机器学习是机器学习.接近红外的光效应.单壁碳纳米管是一种单壁碳纳米管.进行光谱解码.病毒 病毒 病毒 病毒

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