Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

770
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
770
Mass Spectrometers01:16

Mass Spectrometers

5.5K
This lesson details the instrumentation of a mass spectrometer—a physical instrument to perform mass spectrometry on analyte molecules and record the characteristic mass spectra. This is achieved via three chief functions:
5.5K
Matrix-Assisted Laser Desorption Ionization (MALDI)01:08

Matrix-Assisted Laser Desorption Ionization (MALDI)

315
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...
315
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

667
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
667
Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview

737
In inductively coupled plasma–mass spectrometry (ICP–MS), an inductively coupled plasma (ICP) torch is used as an atomizer and ionizer. Solid samples are dissolved and volatilized before being introduced into the high-temperature argon plasma, while solution samples are nebulized and passed through the high-temperature argon plasma. Plasma dissociates the analytes and ionizes their component atoms to form a mixture of positive ions and molecular species. The positive ions are then...
737
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.4K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
6.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Monocyte infiltration induces CNS arginine catabolism to fuel neuroinflammation.

Nature immunology·2026
Same author

Incorporating functional soft tissue deformations in AI model training for spatially accurate prostate cancer detection.

Magnetic resonance imaging·2026
Same author

Oxa-noribogaine reduces alcohol drinking through aversion learning and by altering glutamatergic activity in the mPFC.

Research square·2026
Same author

Multiplexed spatial screening of lipid-based nanoparticles for extrahepatic messenger RNA targeting.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Cohort-Scale Spatial Autocorrelation for Tumor Prediction in Mid-Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

From Sample to Mixed Reality: A Translational 3D MALDI Imaging Platform for Advanced 3D Spatial Omics Analysis of 3D Cell Culture Disease Models.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026
Same journal

Informative Relational Learning for Adverse Reaction Prediction with Enhanced Generalization to Novel Drugs.

Bioinformatics (Oxford, England)·2026
Same journal

An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.

Bioinformatics (Oxford, England)·2026
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
查看所有相关文章

相关实验视频

Updated: Jul 1, 2025

Sample Preparation Strategies for Mass Spectrometry Imaging of 3D Cell Culture Models
08:14

Sample Preparation Strategies for Mass Spectrometry Imaging of 3D Cell Culture Models

Published on: December 5, 2014

18.2K

pyM2aia:用于质谱成像的Python接口,重点是深度学习.

Jonas Cordes1,2, Thomas Enzlein3, Carsten Hopf2,3,4

  • 1Faculty of Computer Science, Mannheim University of Applied Sciences, Mannheim 68163, Germany.

Bioinformatics (Oxford, England)
|March 6, 2024
PubMed
概括
此摘要是机器生成的。

我们介绍pyM2aia,这是一个用于质谱成像 (MSI) 数据分析的Python包. 它为深度学习 (DL) 应用程序提供了内存高效的处理和方便的数据访问,简化了DL模型的MSI数据处理.

更多相关视频

Optimal Preparation of Formalin Fixed Samples for Peptide Based Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Workflows
08:16

Optimal Preparation of Formalin Fixed Samples for Peptide Based Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Workflows

Published on: January 16, 2018

8.9K
Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI
10:47

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

Published on: March 24, 2016

9.5K

相关实验视频

Last Updated: Jul 1, 2025

Sample Preparation Strategies for Mass Spectrometry Imaging of 3D Cell Culture Models
08:14

Sample Preparation Strategies for Mass Spectrometry Imaging of 3D Cell Culture Models

Published on: December 5, 2014

18.2K
Optimal Preparation of Formalin Fixed Samples for Peptide Based Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Workflows
08:16

Optimal Preparation of Formalin Fixed Samples for Peptide Based Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Workflows

Published on: January 16, 2018

8.9K
Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI
10:47

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

Published on: March 24, 2016

9.5K

科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 数据科学数据科学数据科学

背景情况:

  • Python 是深度学习 (DL) 的主导语言.
  • 现有的用于质谱成像 (MSI) 数据的Python包对DL任务缺乏优化.
  • 高效的数据处理和访问对于MSI中的DL应用至关重要.

研究的目的:

  • 介绍pyM2aia,这是一个用于MSI数据分析的新型Python包.
  • 专注于对DL应用程序进行内存高效的处理,处理和数据访问.
  • 促进对MSI数据的DL管道的开发.

主要方法:

  • 开发了pyM2aia作为一个用于MSI数据分析的Python包.
  • 集成pyM2aia与M2aia应用程序进行交互式数据探索和注释.
  • 实施批量生成器,以实现高效的MSI数据访问策略.
  • 使用M2aia的程序来实现数据交换和处理.

主要成果:

  • pyM2aia为DL提供了高效的内存处理和方便的数据访问.
  • 该套件确保了与M2aia应用程序的数据可互换性.
  • 在imzML元数据解析,信号处理和离子图像生成中展示了pyM2aia的实用性.
  • 展示了使用光谱,基于离子图像和组合方法的DL模型训练和推断.

结论:

  • pyM2aia增强了用于DL应用程序的MSI数据分析.
  • 该套件简化了可读和可维护DL管道的创建.
  • pyM2aia促进了MSI数据的基于DL的高级分析,整合了光谱和空间信息.