Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Group Polarization01:01

Group Polarization

31.3K
Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
31.3K
Molecular Shape and Polarity03:37

Molecular Shape and Polarity

53.1K
Dipole Moment of a Molecule
53.1K
Cell Polarization by Rho Proteins01:21

Cell Polarization by Rho Proteins

3.2K
Cell polarity is the asymmetric distribution of cellular and membrane components, making one side of the cell different from the other. This polarity is essential to many processes such as embryogenesis, axon migration, glucose transport across epithelial cells, and directional cell migration. A migrating cell responds to intracellular or extracellular signals via molecular cascades that reorganize the actin cytoskeleton to establish this polarity. In these cells, the Rho family proteins Cdc42,...
3.2K
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.3K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.3K
Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

949
A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
949
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)01:15

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

1.2K
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...
1.2K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Untargeted metabolomics reveals the metabolic basis of sugar-acid balance and quality differentiation in melon.

Frontiers in plant science·2026
Same author

Proximal-distal coordination engineering of iron single-atom nanozyme for synergistic multi-enzymatic-photothermal control of antibiotic-resistant bacteria.

Journal of hazardous materials·2026
Same author

Overriding <i>n</i>-Type Surface Depletion via Ferroelectric Pumping for Self-Powered Cathodic Photoelectrochemical Immunoassay.

Analytical chemistry·2026
Same author

Reassessing the role of antiphospholipid antibodies in placental-mediated adverse pregnancy outcomes in systemic lupus erythematosus: A retrospective cohort study.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics·2026
Same author

Strain-induced PtCu nanozymes for paper-based portable colorimetric immunoassay of carcinoembryonic antigen with smartphone readout.

Analytical methods : advancing methods and applications·2026
Same author

Comparative analysis of the extreme meat color transcriptome reveals key regulatory genes and identifies potential SNPs in Leiqiong cattle.

BMC genomics·2026

関連する実験動画

Updated: May 5, 2026

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
08:49

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

Published on: December 1, 2023

2.2K

ポーラライゼーションの形は,ポーラライゼーションの表現と稀少な自己注意に基づくポーラライゼーションから得られます.

Zhenhua Wan, Jiayue Wu, Kaiang Li

    Optics express
    |February 20, 2026
    PubMed
    まとめ

    この研究では,3D再構築の精度を向上させる,極化による形状 (SfP) のための新しいディープラーニング方法が紹介されています. 物理的な先行経験と自己への注意の欠如を統合することで,既存のSfPテクニックの限界を克服します.

    科学分野:

    • コンピュータビジョン コンピュータビジョン
    • フォトグラムメトリーです.
    • 3D再構築 3D再構築

    背景:

    • 物理に基づく形状の偏化 (SfP) の方法は,混合反射と局所的曖昧さと闘う.
    • ディープラーニングベースのSfP方法は,より高い精度を提供しているが,グローバルな文脈と物理的な事前の統合が欠けている.
    • 正確な表面正規推定は,3D再構築に不可欠です.

    研究 の 目的:

    • 形状回復精度を高める新しい学習ベースのSfP方法を開発する.
    • 改善されたSfPパフォーマンスのために,身体的な先行性を稀な自己注意と組み合わせる.
    • 学習ベースのSfPにおけるグローバルな文脈の認識と物理的な事前の利用の限界に対処する.

    主な方法:

    • 効率的な物理的な事前利用のためにストークスベクトルを用いた新しい偏振表現を導入した.
    • 全局的な文脈を把握し,曖昧さを解消するために,二次ルートを備えた稀少な自己注意メカニズムを組み込みました.
    • 機能融合と高周波詳細キャプチャの最適化のために,空間的およびチャネルの注意力メカニズムを使用しました.

    主要な成果:

    • 提案された方法は,DeepSfPデータセットと自己構築データセットにおける最先端のSfP方法の性能を上回ります.

    さらに関連する動画

    Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy
    05:54

    Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy

    Published on: September 8, 2023

    1.9K
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    999

    関連する実験動画

    Last Updated: May 5, 2026

    Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
    08:49

    Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

    Published on: December 1, 2023

    2.2K
    Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy
    05:54

    Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy

    Published on: September 8, 2023

    1.9K
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    999
  • DeepSfPデータセットで12.06°の平均角誤差を達成しました.
  • 通常の推定精度の大幅な改善が示されました.

    • 結論:

    • この新しいSfPメソッドは,優れた形状回復のために,物理的な先入観と稀少な自己注意を効果的に統合しています.
    • 提案された技術は,通常の推定精度を大幅に改善し,SfPタスクに対する強力な技術的サポートを提供します.
    • このアプローチは,極化情報を用いた3D再構築の分野を前進させています.