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在电子能量损失光谱学中从弱信号中揭示信息,并使用深度消极剂
Yifan Wang1, Mai Tan1, Carlos Fernandez-Granda2
1Materials Science and Engineering, School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA.
概括
我们开发了一种无监督的深度视频消毒器 (UDVD),用于直接电子探测器的电子能量损失光谱 (EELS) 数据. 这种先进的无色化方法改善了材料分析,并克服了高分辨率成像中的噪声限制.
科学领域:
- 材料科学 材料科学 材料科学
- 频谱学是一种光谱学.
- 数据科学数据科学数据科学
背景情况:
- 电子能量损失光谱 (EELS) 与扫描传输电子显微镜 (STEM) 结合,为材料分析提供高空间分辨率.
- 在EELS数据中的噪音限制了实验复杂性和数据解释.
- 直接电子探测器在EELS中为降低噪声提供了新的机会.
研究的目的:
- 为使用直接电子探测器获取的EELS数据集开发和评估一种基于深度学习的新型化器.
- 为了适应能量损失光谱序列的denoiser,并根据模拟和真实数据评估其性能.
- 解决直接电子探测器上电荷扩散引起的工件问题,并提出缓解策略.
主要方法:
- 基于卷积神经网络 (CNN) 的无监督深度视频消噪器 (UDVD) 的开发.
- 应用和适应UDVD到电子能量损失光谱序列.
- 使用模拟的EELS光谱进行基准测试,并对真实实验数据进行评估.
主要成果:
- 在使用直接电子探测器获取的EELS数据集中,UDVD有效地降低了噪声.
- 探测器像素上的电荷扩散效应可能会导致消噪后的工件,需要进行特定的调整.
- 在氧化物纳米颗粒中成功地应用UDVD来绘制加多剂的地图,并在原子分辨率下对六边形化的振动模式进行表征.
结论:
- 无监督深度视频消噪器 (UDVD) 是一种强大的工具,可以提高来自直接电子探测器的EELS数据质量.
- 对消噪过程的调整可以减轻由检测器特征引起的工件.
- 在原子分辨率下,UDVD可实现更准确的材料表征,包括剂映射和振动模式分析.
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