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相关概念视频

UV–Vis Spectrometers01:14

UV–Vis Spectrometers

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The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell.
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Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

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Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used....
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相关实验视频

Updated: Sep 17, 2025

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
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基于深度学习的单拍计算光谱仪使用多层薄膜.

David S Bhatti1, Jioh Lee2, Cheolsun Kim3

  • 1Department of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea.

Scientific reports
|July 1, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了用于移动使用的深度学习计算光谱仪. 它从一次性测量中准确地重建狭窄和宽谱,使现场检测和自我诊断成为可能.

关键词:
计算光谱学是一种计算光谱学.深度学习是一种深度学习.多层薄膜是多层的薄膜.根的平均平方误差.这就是U-Net.

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科学领域:

  • 光学和光子学 在光学和光子学.
  • 频谱学是一种光谱学.
  • 机器学习应用 机器学习应用

背景情况:

  • 计算光谱仪由于其尺寸和速度,为移动应用提供了潜力.
  • 以前的演示仅限于简单的光谱,阻碍了更广泛的应用.

研究的目的:

  • 开发一个基于深度学习 (DL) 的单射计算光谱仪.
  • 为了实现对移动传感的狭窄和宽谱的重建.

主要方法:

  • 使用晶圆级别的 stencil lithography 制造一个多层薄膜过器阵列.
  • 过器阵列与CMOS图像传感器集成,用于单次曝光图像捕获.
  • 开发DL架构 (密集层,U-Net骨干与剩余连接) 用于频谱重建.

主要成果:

  • 精确重建323个测试光谱 (500-850纳米,1纳米间隔) 以0.0288.8的低根平均平方误差.
  • 通过SEM验证多层薄膜过器,确认均沉积和高产量.
  • 一个紧,快速和准确的计算光谱仪的演示,与CMOS传感器兼容.

结论:

  • 开发的基于DL的计算光谱仪有效地从单次测量中重建复杂的光谱.
  • 该设备的性能和功能使其适合在移动应用中进行商业化.
  • 这项技术推进了便携式光谱分析,用于现场检测和自我诊断.