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相关概念视频

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

325
A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
325
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

360
The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
360
¹H NMR Signal Integration: Overview00:58

¹H NMR Signal Integration: Overview

1.4K
The intensity of a signal, which can be represented by the area under the peak, depends on the number of protons contributing to that signal. The area under each peak is shown as a vertical line called an integral, with the integral value listed under it, as seen in the proton NMR spectrum of benzyl acetate. Each integral value is divided by the smallest integral value to obtain the ratio of the number of protons producing each signal. The ratio reveals the relative number of protons and not...
1.4K
¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

1.3K
A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
1.3K

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相关实验视频

Updated: Jun 24, 2025

Quantifying Mixing using Magnetic Resonance Imaging
07:33

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拉曼前者:一种基于变压器的量化方法,用于拉曼混合物组件.

Onur Can Koyun1, Reyhan Kevser Keser1, Safa Onur Şahin2

  • 1Signal Processing for Computational Intelligence Research Group (SP4CING), Informatics Institute, Istanbul Technical University, 34469 Istanbul, Turkey.

ACS omega
|June 10, 2024
PubMed
概括

本研究介绍了RamanFormer,这是一个变压器模型,使用拉曼光谱学精确识别和量化化学混合物中的成分. 与传统方法相比,它显著提高了准确性,提高了材料分析的可靠性.

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A Novel Technique for Raman Analysis of Highly Radioactive Samples Using Any Standard Micro-Raman Spectrometer
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Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
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科学领域:

  • 分析化学 分析化学
  • 频谱学是一种光谱学.
  • 机器学习 机器学习

背景情况:

  • 拉曼光谱为材料识别提供独特的分子指纹.
  • 由于重叠的光谱数据,分析复杂的混合物具有挑战性.
  • 现有的方法难以区分具有相似光谱特征的组件.

研究的目的:

  • 开发一个先进的模型,RamanFormer,用于增强的拉曼光谱数据分析.
  • 提高化学混合物中成分识别和量化精度.
  • 克服分析复杂拉曼光谱的传统方法的局限性.

主要方法:

  • 开发了一个基于变压器的深度学习模型RamanFormer.
  • 该模型利用自我注意机制来处理连续的光谱数据.
  • 拉曼·福默 (RamanFormer) 在二元化和三元化化学混合物方面接受了培训和验证.

主要成果:

  • 拉曼福默在组件识别和量化方面实现了高精度.
  • 该模型显示平均绝对误差为1.4%,根平均平方误差为1.6%.
  • 在各种噪声级别 (高达10dB SNR) 中,性能强.

结论:

  • 拉曼格式显著优于传统方法,如最小平方,MLP,VGG11和ResNet50.
  • 该模型提高了复杂混合物中材料识别的可靠性.
  • 这一进步扩大了拉曼光谱在材料科学,法医学和诊断方面的应用.