Investigation of the microtubule dynamics with probabilistic data association filter

Bulibuli Mahemuti; Daisuke Inoue; Akira Kakugo; Akihiko Konagaya

doi:10.1109/NEMS.2016.7758209

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 proceeding › Conference contribution

2 Citations (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 language	English
Title of host publication	2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	101-106
Number of pages	6
ISBN (Electronic)	9781509019472
DOIs	https://doi.org/10.1109/NEMS.2016.7758209
Publication status	Published - Nov 28 2016
Externally published	Yes
Event	11th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016 - Sendai, Japan Duration: Apr 17 2016 → Apr 20 2016

Publication series

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

Other

Other	11th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016
Country/Territory	Japan
City	Sendai
Period	4/17/16 → 4/20/16

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1109/NEMS.2016.7758209

Cite this

Mahemuti, B., Inoue, D., Kakugo, A., & Konagaya, A. (2016). Investigation of the microtubule dynamics with probabilistic data association filter. In 2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016 (pp. 101-106). Article 7758209 (2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NEMS.2016.7758209

Investigation of the microtubule dynamics with probabilistic data association filter. / Mahemuti, Bulibuli; Inoue, Daisuke; Kakugo, Akira et al.
2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 101-106 7758209 (2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mahemuti, B, Inoue, D, Kakugo, A & Konagaya, A 2016, Investigation of the microtubule dynamics with probabilistic data association filter. in 2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016., 7758209, 2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 101-106, 11th IEEE Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016, Sendai, Japan, 4/17/16. https://doi.org/10.1109/NEMS.2016.7758209

Mahemuti B, Inoue D, Kakugo A, Konagaya A. Investigation of the microtubule dynamics with probabilistic data association filter. In 2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 101-106. 7758209. (2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016). doi: 10.1109/NEMS.2016.7758209

Mahemuti, Bulibuli ; Inoue, Daisuke ; Kakugo, Akira et al. / Investigation of the microtubule dynamics with probabilistic data association filter. 2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 101-106 (2016 IEEE 11th Annual International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2016).

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AB - 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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Investigation of the microtubule dynamics with probabilistic data association filter

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