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Matrix-Assisted Laser Desorption Ionization (MALDI)01:08

Matrix-Assisted Laser Desorption Ionization (MALDI)

317
Matrix-assisted laser desorption ionization (MALDI) is a powerful analytical technique used in mass spectrometry. It enables the identification and characterization of various biomolecules, including proteins, peptides, nucleic acids, and carbohydrates. MALDI spectrometry is widely employed in biological and medical research, as well as in fields like pharmacology and biochemistry.
The analyte of interest, a biomolecule or a mixture of biomolecules, is mixed with a suitable matrix material. The...
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High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

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The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
1.4K
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

1.0K
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and signal-to-noise ratio for the analyte. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.
Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called collision-induced...
1.0K

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相关实验视频

Updated: Jul 2, 2025

Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI
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Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI

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DEIMoS GUI:一个开源的用户界面,用于一个高维质谱数据处理工具.

Marjolein T Oostrom1, Sean M Colby2, Thomas O Metz2

  • 1National Security Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.

Journal of chemical information and modeling
|February 27, 2024
PubMed
概括
此摘要是机器生成的。

一个新的图形用户界面 (GUI) 增强了DEIMoS用于处理高维质谱数据的工具. 这个GUI提高了数据可视化和可访问性,研究人员使用质谱分析.

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科学领域:

  • 分析化学 分析化学
  • 计算化学的计算化学
  • 生物信息学是一种生物信息学.

背景情况:

  • 高维质谱产生了很大的数据集,难以可视化.
  • 现有的质谱数据处理工具可能缺乏直观的接口.
  • 交互式和响应式可视化对于理解复杂的光谱数据至关重要.

研究的目的:

  • 为集成多维光谱 (DEIMoS) 数据提取工具开发一个图形用户界面 (GUI).
  • 为了实现高维质谱数据的交互和信息化可视化.
  • 为了提高DEIMoS包的可访问性和可用性.

主要方法:

  • 使用HoloViz Python数据可视化堆开发一个GUI.
  • 集成DataShader和Param进行交互式数据可视化.
  • 应用GUI来可视化DEIMoS数据处理模块的复杂输出.

主要成果:

  • 成功地为DEIMoS创建了一个交互式GUI.
  • 展示了对数百万个N维数据点的有效可视化.
  • 图形界面为质谱数据提供了一个信息丰富,响应敏捷的用户体验.

结论:

  • 开发的GUI显著增加了DEIMoS工具的可访问性.
  • 使用的可视化方法可以使其他开源质谱软件受益.
  • 增强的数据可视化有助于解释复杂的质谱数据集.