Towards fully automated identification of vesicle-membrane fusion events in TIRF microscopy
by Katarina Mele, Pascal Vallotton, James G. Burchfield, David E. James, William E. Hughes
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 1, No. 4, 2009

Abstract: Total internal reflection fluorescence microscopy (TIRF-M) is imposing itself as the tool of choice for studying biological activity in close proximity to the plasma membrane. For example, the exquisite selectivity of TIRF-M allows monitoring the movement of GFP-tagged vesicles and their recruitment to the plasma membrane of cells. We present a novel computer vision system for automatically identifying elusive vesicle-plasma membrane fusion events. Our method is based on robust object tracking and matched filtering. It should accelerate the quantification of TIRF-M data and allow the extraction of more biological information from image data to support research in diabetes and obesity.

Online publication date: Fri, 18-Sep-2009

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