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Related Concept Videos

Diffusion01:12

Diffusion

217.8K
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...
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Diffusion01:21

Diffusion

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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...
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Facilitated Diffusion01:16

Facilitated Diffusion

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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...
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Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

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

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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...
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Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

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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...
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Diffusion on Chromatography Columns01:07

Diffusion on Chromatography Columns

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In column chromatography, when an analyte is introduced as a narrow band at the top of the column, the solutes begin to separate and broaden, developing a Gaussian profile. This broadening occurs due to various factors, such as longitudinal diffusion.
Longitudinal diffusion occurs when the solute molecules in the mobile phase diffuse from the more concentrated center of the chromatographic band to the more dilute regions on either side, both towards and against the flow direction. This...
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Related Experiment Video

Updated: Jan 28, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

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SCT-Diff: Seamless Contextual Tracking via Diffusion Trajectory.

Guohao Nie1, Xingmei Wang1, Debin Zhang1

  • 1College of Computer Science and Technology, Harbin Engineering University, 145 Nantong Street, Harbin 150000, China.

Journal of Imaging
|January 27, 2026
PubMed
Summary
This summary is machine-generated.

SCT-Diff is a novel video tracking framework that uses a diffusion model for holistic trajectory estimation. It improves accuracy and efficiency by correcting errors using future frames, outperforming existing methods.

Keywords:
diffusion modeltemporal relation modelingtrajectory fittingvisual object tracking

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Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Machine Learning

Background:

  • Existing object trackers often struggle with error accumulation due to sequential processing of temporal information.
  • Frame-level analysis limits comprehensive spatiotemporal understanding, hindering performance in complex scenarios.

Purpose of the Study:

  • To introduce SCT-Diff, a video-level framework for holistic target trajectory estimation.
  • To enhance tracking accuracy and efficiency by addressing error propagation and improving spatiotemporal awareness.

Main Methods:

  • Utilizing a diffusion model for global video clip processing and bidirectional spatiotemporal awareness.
  • Implementing iterative trajectory correction via a closed-loop feedback mechanism using future frames.
  • Employing a Mamba-based expert decoder for joint modeling of appearance and motion dynamics through discrete token sequences.

Main Results:

  • Achieved 75.4% AO on the GOT-10k benchmark, demonstrating superior performance.
  • Maintained real-time computational efficiency, highlighting practical applicability.
  • Showcased improved temporal consistency and robustness against complex appearance variations.

Conclusions:

  • SCT-Diff offers a significant advancement in video object tracking by leveraging video-level processing and iterative correction.
  • The framework effectively breaks error propagation chains, leading to more accurate and consistent trajectory predictions.
  • The proposed approach provides a lightweight yet coherent solution for joint appearance and motion modeling.