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関連する概念動画

Diffusion01:12

Diffusion

217.1K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
217.1K
Diffusion01:21

Diffusion

6.3K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.3K
Facilitated Diffusion01:16

Facilitated Diffusion

1.2K
The plasma membrane, a critical structure in cellular biology, houses an array of transporters, or carrier proteins, interspersed within its lipid bilayer. These proteins play a crucial role in solute transport through facilitated diffusion, a form of passive diffusion that uses transporters to move the molecules across the membrane.
In this process, substrates such as organic compounds and ions interact with a transporter on one side, triggering conformational changes in proteins that enable...
1.2K
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

1.7K
Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
1.7K
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

31.2K
Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
31.2K
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

5.5K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
5.5K

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関連する実験動画

Updated: Jan 25, 2026

Evolution of Staircase Structures in Diffusive Convection
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Evolution of Staircase Structures in Diffusive Convection

Published on: September 5, 2018

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DVG-Diffusion: CT再構成のためのデュアルビュー誘導拡散モデル

Xing Xie, Jiawei Liu, Huijie Fan

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |January 23, 2026
    PubMed
    まとめ
    この要約は機械生成です。

    この研究は、限られた2D X線からの3D CTボリュームの再構成のためのデュアルビュー誘導拡散モデル（DVG-Diffusion）を導入します。この新しいアプローチは、医療画像における画質と精度を向上させます。

    キーワード:
    3D CT再構成少数のX線ビューDVG-Diffusion医療画像拡散モデル

    さらに関連する動画

    Author Spotlight: Integrating Alveolar-Capillary Reserve Measurements in Exercise Adaptation and Therapeutic Strategies
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    Author Spotlight: Integrating Alveolar-Capillary Reserve Measurements in Exercise Adaptation and Therapeutic Strategies

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    Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
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    Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

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    関連する実験動画

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    Evolution of Staircase Structures in Diffusive Convection
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    Evolution of Staircase Structures in Diffusive Convection

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    Author Spotlight: Integrating Alveolar-Capillary Reserve Measurements in Exercise Adaptation and Therapeutic Strategies
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    Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
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    Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

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    科学分野:

    • 医用画像処理
    • コンピュータビジョン
    • 人工知能

    背景:

    • 少数のビューの2D X線からの3D CTボリュームの再構成は、X線の投影性質のために困難です。
    • 既存のディープラーニング手法は、複雑な2D X線から3D CTへのマッピングにおいて困難に直面しています。

    研究 の 目的:

    • 高忠実度の3D CTボリュームを限られた2D X線投影から再構成するための効果的なディープラーニングネットワークを開発すること。
    • 新しいビュー合成と特徴アライメントを組み込むことによって、CT再構成における学習の難易度を減らすこと。

    主な方法:

    • 実際および合成されたX線ビューを統合するデュアルビュー誘導拡散モデル（DVG-Diffusion）を提案しました。
    • 空間的に整列された特徴抽出のためのビューパラメータ誘導エンコーダを利用しました。
    • CT潜在表現の洗練のためのデュアルビュー特徴によって条件付けられた潜在拡散モデルを採用しました。

    主要な成果:

    • DVG-Diffusionは、CT再構成において高い忠実度と知覚品質のバランスを達成しました。
    • 実験結果は、最先端の方法と比較して優れたパフォーマンスを示しました。
    • ビューと再構成品質の包括的な分析が提示されました。

    結論:

    • 提案されたDVG-Diffusionモデルは、少数のX線ビューから3D CTボリュームを効果的に再構成します。
    • デュアルビューガイダンスと特徴アライメント戦略は、再構成の精度と品質を大幅に向上させます。
    • この方法は、低線量および限定ビューCTイメージングの課題に対する有望なソリューションを提供します。