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相关概念视频

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

331
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...
331
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

365
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...
365

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拉曼SPy:一个开源的Python包,用于整合式拉曼光谱数据分析.

Dimitar Georgiev1,2, Simon Vilms Pedersen2, Ruoxiao Xie2

  • 1Department of Computing & UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London SW7 2AZ, United Kingdom.

Analytical chemistry
|May 15, 2024
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概括
此摘要是机器生成的。

拉曼光谱研究面临着由于缺乏标准化的挑战. 开源的Python包RamanSPy提供了标准化工作流程和增强这种化学分析技术的数据分析工具.

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An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
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科学领域:

  • 化学 化学 化学
  • 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:

  • 拉曼光谱是一种重要的,无标签的化学分析技术,用于科学学科.
  • 由于缺乏标准化的软件,方法和数据,进步受到阻碍,导致碎片化和不可重复的工作流.

研究的目的:

  • 介绍RamanSPy,一个开源的Python包,旨在解决Raman光谱研究中的标准化和可重现性问题.
  • 为日常任务,整合性分析,方法开发和高级数据分析提供全面的工具库.

主要方法:

  • 开发RamanSPy,一个模块化和开源的Python包.
  • 与现有的Python数据科学,统计分析和机器学习生态系统的集成.
  • 提供广泛的在线文档,包括教程和示例应用程序.

主要成果:

  • 拉曼SPy为拉曼光谱分析提供了一个统一的平台,支持各种研究需求.
  • 该套件促进了标准化分析协议的开发和实施.
  • 它可以与先进的数据分析和机器学习工具进行无集成.

结论:

  • 拉曼SPy显著提高了拉曼光谱研究的标准化,可重现性和效率.
  • 开源性质和Python集成促进了更广泛的采用和协作开发.
  • 这种工具使研究人员能够克服当前的局限性,并推进拉曼光谱学领域.