the IEEE Ann. Int. Conf. on Nano/Micro Engineerd and Molecular Systems (NEMS)
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英文:
Matsushima
アブストラクト
Understanding microtubule dynamics has
important implications for establishing nanometer level
machines. Object tracking is one of the important issues
necessary to elucidate the dynamics of microtubule from
video data. In microtubule gliding assays, object
tracking becomes non-trivial due to the occurrences of
compound objects and high density objects. In this work,
we investigate microtubule dynamics focusing on its
morphological information, and we developed easy and
useful workflow with compound segmentation technique
and probabilistic data association filter. Using this
workflow, multi-crossing microtubules can be
decomposed, and be tracked correctly
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