Investigation of the microtubule dynamics with probabilistic data association filter

Bulibuli Mahemuti, Daisuke Inoue, Akira Kakugo, Akihiko Konagaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-106
Number of pages6
ISBN (Electronic)9781509019472
DOIs
Publication statusPublished - Nov 28 2016
Externally publishedYes
Event11th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016 - Sendai, Japan
Duration: Apr 17 2016Apr 20 2016

Publication series

Name2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016

Other

Other11th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016
CountryJapan
CitySendai
Period4/17/164/20/16

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Mechanics of Materials
  • Electronic, Optical and Magnetic Materials

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