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Visualization Method for the Cell-Level Vesicle Transport Using Optical Flow and a Diverging Colormap

Elucidation of cell-level transport mediated by vesicles within a living cell provides key information regarding viral infection processes and also drug delivery mechanisms. Although the single-particle tracking method has enabled clear analysis of individual vesicle trajectories, information regard...

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Detalles Bibliográficos
Autores principales: Lee, Seohyun, Kim, Hyuno, Higuchi, Hideo, Ishikawa, Masatoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828387/
https://www.ncbi.nlm.nih.gov/pubmed/33450927
http://dx.doi.org/10.3390/s21020522
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author Lee, Seohyun
Kim, Hyuno
Higuchi, Hideo
Ishikawa, Masatoshi
author_facet Lee, Seohyun
Kim, Hyuno
Higuchi, Hideo
Ishikawa, Masatoshi
author_sort Lee, Seohyun
collection PubMed
description Elucidation of cell-level transport mediated by vesicles within a living cell provides key information regarding viral infection processes and also drug delivery mechanisms. Although the single-particle tracking method has enabled clear analysis of individual vesicle trajectories, information regarding the entire cell-level intracellular transport is hardly obtainable, due to the difficulty in collecting a large dataset with current methods. In this paper, we propose a visualization method of vesicle transport using optical flow, based on geometric cell center estimation and vector analysis, for measuring the trafficking directions. As a quantitative visualization method for determining the intracellular transport status, the proposed method is expected to be universally exploited in various biomedical cell image analyses.
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spelling pubmed-78283872021-01-25 Visualization Method for the Cell-Level Vesicle Transport Using Optical Flow and a Diverging Colormap Lee, Seohyun Kim, Hyuno Higuchi, Hideo Ishikawa, Masatoshi Sensors (Basel) Article Elucidation of cell-level transport mediated by vesicles within a living cell provides key information regarding viral infection processes and also drug delivery mechanisms. Although the single-particle tracking method has enabled clear analysis of individual vesicle trajectories, information regarding the entire cell-level intracellular transport is hardly obtainable, due to the difficulty in collecting a large dataset with current methods. In this paper, we propose a visualization method of vesicle transport using optical flow, based on geometric cell center estimation and vector analysis, for measuring the trafficking directions. As a quantitative visualization method for determining the intracellular transport status, the proposed method is expected to be universally exploited in various biomedical cell image analyses. MDPI 2021-01-13 /pmc/articles/PMC7828387/ /pubmed/33450927 http://dx.doi.org/10.3390/s21020522 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Seohyun
Kim, Hyuno
Higuchi, Hideo
Ishikawa, Masatoshi
Visualization Method for the Cell-Level Vesicle Transport Using Optical Flow and a Diverging Colormap
title Visualization Method for the Cell-Level Vesicle Transport Using Optical Flow and a Diverging Colormap
title_full Visualization Method for the Cell-Level Vesicle Transport Using Optical Flow and a Diverging Colormap
title_fullStr Visualization Method for the Cell-Level Vesicle Transport Using Optical Flow and a Diverging Colormap
title_full_unstemmed Visualization Method for the Cell-Level Vesicle Transport Using Optical Flow and a Diverging Colormap
title_short Visualization Method for the Cell-Level Vesicle Transport Using Optical Flow and a Diverging Colormap
title_sort visualization method for the cell-level vesicle transport using optical flow and a diverging colormap
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828387/
https://www.ncbi.nlm.nih.gov/pubmed/33450927
http://dx.doi.org/10.3390/s21020522
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