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Updated: Jun 15, 2025

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
00:07

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

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特定的光谱子图像用于机器学习评估碳离子和X射线辐射效应之间的光学差异

Raluca D Negoita1, Mihaela A Ilisanu2,3, Ionela N Irimescu1,4

  • 1Applied Sciences Doctoral School, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, Bucharest, 060042, Romania.

Heliyon
|August 22, 2024
PubMed
概括

这项研究引入了一种无标签的自动化方法,使用高光谱成像和支向量机来检测辐射诱导的变化,在肌肉癌细胞. 碳离子辐射效应比X射线效应更明显.

关键词:
超光谱成像技术的使用.电离辐射是电离辐射的组成部分.线性支向量的分类器线性支向量的分类器机器学习是机器学习.SW1353 冠状动脉瘤细胞支持矢量机器的支持矢量机器.质地和粗度的特征是质地和粗度的特征.

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