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相关概念视频

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

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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...
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Peptide Identification Using Tandem Mass Spectrometry01:33

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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...
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Mass Spectrometry: Overview01:19

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Mass spectrometry is an analytical technique used to determine the molecular mass and molecular formula of a compound. The basic principle of mass spectrometry is to generate ions from the analyte molecule and measure these ion abundances against their molecular mass.  One common type of ionization, known as electrospray ionization or EI, bombards the analyte molecules in the gas phase with high-energy electron beams. The electron beams displace an electron from the molecule and leave...
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Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

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

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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...
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深度学习方法用于多通道质谱成像动态采样.

David Helminiak1, Hang Hu2, Julia Laskin2

  • 1Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, 53233 USA.

IEEE transactions on computational imaging
|May 30, 2023
PubMed
概括

质谱成像 (MSI) 可以显著加快使用一个新的深度学习方法动态采样 (DLADS). 这种方法通过智能选择信息性像素来减少扫描时间,提高了70%的吞吐量.

科学领域:

  • 分析化学 分析化学
  • 生物技术是生物技术.
  • 计算机科学 计算机科学

背景情况:

  • 质谱成像 (MSI) 传统上需要长时间获取高分辨率数据.
  • 在MSI扫描中的许多像素缺乏信息化的生物或化学数据,这为优化提供了机会.
  • 稀疏和动态采样算法可以通过专注于相关的样本区域来减少数据采集.

研究的目的:

  • 开发和评估基于深度学习的动态采样策略,以加速MSI.
  • 将拟议的深度学习方法的性能与现有的监督学习方法进行比较.
  • 量化新方法所带来的吞吐量和重建质量的改善.

主要方法:

  • 开发了一种用于动态采样的深度学习方法 (DLADS),采用卷积神经网络 (CNN).
  • DLADS将分子质量强度分布整合到第三个维度中,用于动态采样决策.
  • 对DLADS方法进行了评估,与使用最小平方回归 (SLADS-LS) 和多层感知器 (SLADS-Net) 的动态采样监督学习方法进行了对比.

主要成果:

  • DLADS证明了一个模拟的70%的吞吐量改善纳米喷雾脱电喷雾电离 (纳米-DESI) 组织的MSI.
  • 与单通道SLADS-LS相比,DLADS的回归性能提高了36.7%.
关键词:
压缩感应 压缩感应深度学习 (Deep Learning) 是一种深度学习.机器学习 机器学习质谱仪成像成像 质谱仪成像稀少采样 稀少采样 稀少采样

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  • 与单通道SLADS-LS相比,DLADS实现了6.0%的重建质量提升.
  • 结论:

    • 基于深度学习的动态采样为MSI获取提供了显著的加速.
    • 与传统和监督学习方法相比,DLADS在吞吐量和数据重建质量方面都取得了显著的改进.
    • 这种方法有望缩短MSI获取时间,使高分辨率分析更容易获得.