2018
DOI: 10.1364/oe.26.016236
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Numerical method for vesicle movement analysis in a complex cytoskeleton network

Abstract: The detection of the precise movement of a vesicle during transport in a live cell provides key information for the intracellular delivery process. Here we report a novel numerical method for analyzing three-dimensional vesicle movement. Since the vesicle moves along a linear cytoskeleton during the active transport, our method first detects the orientation and position of the cytoskeleton as a linear section based on angle correlation and linear regression, after noise reduction. Then, the precise vesicle mov… Show more

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Cited by 13 publications
(24 citation statements)
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“…For the vesicle trajectory data, the linear sections were detected where the local curvature of the trajectory was greater than 3π 4 , after removing the noise by applying the Gaussian noise filter (window size = 16 data points). The orientation and position of the microtubule for each detected linear section were estimated by using principal component analysis (PCA) (21).…”
Section: Trajectory Data Analysismentioning
confidence: 99%
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“…For the vesicle trajectory data, the linear sections were detected where the local curvature of the trajectory was greater than 3π 4 , after removing the noise by applying the Gaussian noise filter (window size = 16 data points). The orientation and position of the microtubule for each detected linear section were estimated by using principal component analysis (PCA) (21).…”
Section: Trajectory Data Analysismentioning
confidence: 99%
“…However, since microtubules form a three-dimensional network structure, measurement of three dimensional angles considering the geometry of the microtubules in a living cell is required. To measure accurate angles between microtubules in the network structure, the locations of microtubules were estimated from the 3D trajectory of vesicles that apparently interacted with a multiple number of microtubules, based on our numerical method (21). To do this, first, the microtubules labeled by GFP in a living cell were imaged at 1 frame per second (fps) for 60 s (Fig.…”
Section: Measurement Of 3d Angles Between Microtubulesmentioning
confidence: 99%
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