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Single-particle tracking (SPT) is a powerful tool in microscopy that allows the motion of individual fluorescently-labelled particles (molecules, vesicles, virions or other molecular complexes) to be followed within a medium or in living cells and to obtain information on their dynamic behaviour over time.
Single-particle tracks can also reveal structure-function relationships underlying complex systems and help generate 2D or 3D localization maps of such systems. Our interest is in designing software for tracking the trajectories of molecules obtained from a super-resolution microscope. We also plan to use Deep learning and ConvNets to elucidate the problem of missing frames and trajectory shift of single particles during the tracking.
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