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関連する概念動画

2D NMR: Homonuclear Correlation Spectroscopy (COSY)01:06

2D NMR: Homonuclear Correlation Spectroscopy (COSY)

1.9K
Homonuclear correlation spectroscopy, or COSY, is a 2-dimensional NMR technique that provides information about coupled protons. Typically, the geminal and vicinal coupling are observed. For example, consider the COSY spectrum of ethyl acetate, where its 1D proton NMR spectrum is plotted along the vertical and horizontal axes with their corresponding chemical shift scale. Three spots on the diagonal corresponding to the three peaks in the 1D proton spectrum are called diagonal peaks. The COSY...
1.9K
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

1.4K
Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
1.4K
Correlations02:20

Correlations

35.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
Correlation and Causation01:27

Correlation and Causation

42.1K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.1K
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

627
Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
627
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

771
Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other...
771

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Updated: Jan 22, 2026

Detection of Protein Aggregation using Fluorescence Correlation Spectroscopy
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Detection of Protein Aggregation using Fluorescence Correlation Spectroscopy

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EXPRESS：二次元相関分光法（2D-COS）の特徴的なバンドと相関フィルターの決定

Isao Noda

    Applied spectroscopy
    |January 20, 2026
    PubMed
    まとめ

    この研究では、二次元相関分光法（2D-COS）分析における重要なスペクトルバンドを特定するための自動化された方法を紹介します。この客観的なアプローチは、主観的な目視検査に取って代わり、スペクトルデータの解釈を強化します。

    科学分野:

    • 分光法
    • 化学量論
    • データ分析

    背景:

    • 二次元相関分光法（2D-COS）は、複雑なスペクトルデータを分析するために不可欠です。
    • 特徴的なバンドの特定は、スペクトルデータセットの簡素化と効果的な相関フィルター処理に不可欠です。
    • 現在の方法では、相関クロスピークの主観的な目視検査に依存しており、客観性が制限されています。

    研究 の 目的:

    • 2D-COS分析における特徴的なバンドを特定するための体系的かつ客観的な方法を開発すること。
    • 主観的な目視検査を超えて、重要なスペクトル特徴の選択を自動化すること。
    • 2D-COS分析の自動解釈ワークフローとの互換性を強化すること。

    主な方法:

    • 2D識別スペクトルの水平スライスを順次乗算することに基づく、新しい教師なし手順。
    • この方法は、従来の主観的なバンド選択技術に代わる客観的な選択肢を提供します。
    • このアプローチは、モデルフリーの2D-COS分析へのシームレスな統合のために設計されています。

    主要な成果:

    • 提案された方法は、特徴的なバンドの識別に体系的かつ客観的なアプローチを提供します。
    • 堅牢な相関フィルターを確立することにより、混雑したスペクトルデータセットを効果的に簡素化します。
    キーワード:
    2D-COS二次元相関分光法特徴的なバンド相関フィルター識別スペクトル

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    Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells
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    Last Updated: Jan 22, 2026

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    Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells
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  • 自動化の可能性により、スペクトルデータの機械ベースの解釈が可能になります。

    • 結論:

    • 開発された方法は、2D-COS分析の客観性と自動化における重要な進歩を提供します。
    • 正確なデータ解釈に不可欠な、特徴的なスペクトルバンドを特定するプロセスを合理化します。
    • このアプローチは、さまざまな科学分野におけるより効率的で自動化されたスペクトルデータ分析への道を開きます。