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Related Concept Videos

Clathrin Coated Vesicles01:12

Clathrin Coated Vesicles

Clathrin-coated vesicles use endocytosis to transport receptors and lysosomal hydrolases from the Golgi to the lysosome in the late secretory pathway. Clathrin-mediated endocytosis was the first described endocytic process, and Clathrin-coated vesicles remain one of the most well-studied transport vesicles. The molecular machinery that generates clathrin-coated vesicles comprises over 50 proteins that precisely coordinate vesicle formation. Cell surface receptors concentrated in indented sites...
COP Coated Vesicles00:59

COP Coated Vesicles

Membrane-enclosed structures called vesicles transport proteins and lipids across the cell. The vesicles derive their cargo from the plasma membrane, Golgi, ER, or endosome. Coated vesicles are spherical, protein-coated carriers with a 50–100 nm diameter that mediate bidirectional transport between the ER and the Golgi. The distribution of proteins between the ER and Golgi complex is dynamic and is maintained by different coated vesicles. Their formation is driven by the assembly of different...
Pinching-off of Coated Vesicles01:32

Pinching-off of Coated Vesicles

Vesicle budding is orchestrated by distinct cytosolic proteins such as adaptor proteins, coat proteins, and GTPases. To initiate vesicle budding, membrane-bending proteins containing crescent-shaped BAR domains bind to the lipid heads in the bilayer and distort the membrane to form a protein-coated vesicle bud. Adaptors proteins such as AP2 for clathrin-coated vesicles can nucleate on the deformed membrane. Finally, coat proteins such as clathrin or COPI and COPII assemble into a coat forming...

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Related Experiment Video

Updated: Jun 8, 2026

Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy
12:40

Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy

Published on: October 20, 2014

Tracking clathrin coated pits with a multiple hypothesis based method.

Liang Liang1, Hongying Shen, Pietro De Camilli

  • 1Yale University, New Haven, CT 06520, USA. liang.liang@yale.edu

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|October 1, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method for tracking clathrin-coated pits (CCPs) in live cell microscopy. The novel approach accurately tracks these particles, essential for cellular processes like clathrin-mediated endocytosis (CME).

More Related Videos

In vivo and in vitro Studies of Adaptor-clathrin Interaction
17:14

In vivo and in vitro Studies of Adaptor-clathrin Interaction

Published on: January 26, 2011

Related Experiment Videos

Last Updated: Jun 8, 2026

Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy
12:40

Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy

Published on: October 20, 2014

In vivo and in vitro Studies of Adaptor-clathrin Interaction
17:14

In vivo and in vitro Studies of Adaptor-clathrin Interaction

Published on: January 26, 2011

Area of Science:

  • Cell Biology
  • Biophysics
  • Microscopy

Background:

  • Cellular processes require quantitative analysis using live cell microscopy.
  • Tracking numerous particles, such as clathrin-coated pits (CCPs), is essential for studying mechanisms like clathrin-mediated endocytosis (CME).

Purpose of the Study:

  • To develop an automated method for tracking CCPs in 2D images using fluorescent live cell microscopy.
  • To improve the quantitative analysis of cellular processes by accurately tracking CCPs.

Main Methods:

  • A MAP (Maximum A Posteriori) framework was employed for particle detection and trajectory estimation.
  • A Gaussian mixture model, incorporating image filtering and histogram-based thresholding, was used for particle detection, accounting for Poisson noise.
  • A multiple hypothesis-based algorithm estimated trajectories, integrating knowledge of CCP motion and intensity properties.

Main Results:

  • The developed tracking method demonstrated high accuracy on both synthetic and real microscopy data.
  • Experimental results showed good agreement between the automated tracking and manual tracking of CCPs.
  • The method effectively accounts for Poisson noise and utilizes CCP motion and intensity characteristics.

Conclusions:

  • The automated CCP tracking method provides accurate and reliable results for live cell microscopy.
  • This technique facilitates quantitative studies of clathrin-mediated endocytosis and other cellular processes.
  • The method's accuracy and agreement with manual tracking validate its utility in cell biology research.