2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2019
DOI: 10.1109/icaiic.2019.8669003
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3D Nanoscale Tracking Data Analysis for Intracellular Organelle Movement using Machine Learning Approach

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Cited by 7 publications
(2 citation statements)
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“…Therefore, with the proposed method, it is expected that small vesicles which are not detectable in other multiplane imaging systems can be captured and tracked. Hence, a large dataset of vesicle trajectories in a single cell could be constructed, for further analysis using, for example, a machine learning approach [36].…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, with the proposed method, it is expected that small vesicles which are not detectable in other multiplane imaging systems can be captured and tracked. Hence, a large dataset of vesicle trajectories in a single cell could be constructed, for further analysis using, for example, a machine learning approach [36].…”
Section: Discussionmentioning
confidence: 99%
“…Our understanding of the precise motion of vesicles in living cells has been greatly increased owing to the single-particle tracking method, as it detects the rotational motion of the vesicle along the cytoskeletal network [ 14 , 15 , 16 ] and categorizes the type of navigation between the cytoskeletons using machine learning approach [ 17 ]. However, though these studies have contributed to our current knowledge of single vesicle movement, the entire cell-level vesicle transport is not clearly understood yet.…”
Section: Introductionmentioning
confidence: 99%