How to check vesicle pinching off and fusion?
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To check vesicle pinching off and fusion, various methods and technologies have been developed. Studies have utilized in vitro models to observe endocytic vesicle fusion processes , while others have employed planar bilayer membranes and dye-filled vesicles to simultaneously monitor membrane incorporation and content release . Additionally, advanced techniques like patch clamp detection apparatus have been designed to detect single vesicle fusion events and their coupling with calcium ion channels in real-time with high precision . Furthermore, for monitoring vesicle fusions during exocytosis, systems utilizing neural networks and amperometric sensors have been developed to detect different types of vesicle fusion events, such as full fusion and kiss-and-run fusion, with high accuracy and real-time processing capabilities . These diverse approaches provide valuable insights into the mechanisms and dynamics of vesicle pinching off and fusion processes.
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| Papers (5) | Insight |
|---|---|
| The paper utilizes a mobile GPU microsystem with perceptron neural networks to classify vesicle fusions as full fusion or kiss-and-run fusion based on amperometric sensor data. | |
| The patch clamp detection apparatus in the paper allows for direct, quantitative, and real-time detection of single vesicle fusion and recovery, enabling checking of vesicle pinching off and fusion. | |
2 Citations | Vesicle pinching off and fusion can be studied by marking endosomes with different-sized colloidal gold particles and assessing colocalization after incubation under fusion conditions in a cell-free system. |
Open access 01 Jan 1990 1 Citations | Vesicle fusion can be monitored by simultaneous electrical and optical measurements, detecting membrane incorporation through ion channel transfer and content release via fluorescence microscopy. |
01 Apr 2017 1 Citations | Automated detection of vesicle fusion events is achieved using an iterative searching algorithm and Convolutional Neural Networks (CNNs) to classify fusion events based on image patch sequences. |
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