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Automated Detection and Analysis of Exocytosis

DOI :

10.3791/62400-v

September 11th, 2021

September 11th, 2021

3,138 Views

1UNC Neuroscience Center, Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill

We developed automated computer vision software to detect exocytic events marked by pH-sensitive fluorescent probes. Here, we demonstrate the use of a graphical user interface and RStudio to detect fusion events, analyze and display spatiotemporal parameters of fusion, and classify events into distinct fusion modes.

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