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Image and data processing algorithms for identifying cell-bound membrane vesicle trajectories and movement information
This DIB article provides details about the trajectory identification and data processing algorithms used in the article “Dynamic single-vesicle tracking of cell-bound membrane vesicles on resting, activated, and cytoskeleton-disrupted cells” (Zhang et al.) [1]. The algorithm identifies vesicles on...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327075/ https://www.ncbi.nlm.nih.gov/pubmed/30671507 http://dx.doi.org/10.1016/j.dib.2018.12.076 |
_version_ | 1783386404253859840 |
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author | Xu, Ye Zhang, Wendiao Chen, Yong Shan, Wenzhe |
author_facet | Xu, Ye Zhang, Wendiao Chen, Yong Shan, Wenzhe |
author_sort | Xu, Ye |
collection | PubMed |
description | This DIB article provides details about the trajectory identification and data processing algorithms used in the article “Dynamic single-vesicle tracking of cell-bound membrane vesicles on resting, activated, and cytoskeleton-disrupted cells” (Zhang et al.) [1]. The algorithm identifies vesicles on cell membranes from series of undyed grayscale images captured by the confocal microscope based on contrast differences and then trajectories of vesicles are obtained by analyzing their positions in consecutive images. Once the trajectories have been obtained, other quantitative movement information, such as moving speed, direction and acceleration, are derived by standard dynamic relations. |
format | Online Article Text |
id | pubmed-6327075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-63270752019-01-22 Image and data processing algorithms for identifying cell-bound membrane vesicle trajectories and movement information Xu, Ye Zhang, Wendiao Chen, Yong Shan, Wenzhe Data Brief Biochemistry, Genetics and Molecular Biology This DIB article provides details about the trajectory identification and data processing algorithms used in the article “Dynamic single-vesicle tracking of cell-bound membrane vesicles on resting, activated, and cytoskeleton-disrupted cells” (Zhang et al.) [1]. The algorithm identifies vesicles on cell membranes from series of undyed grayscale images captured by the confocal microscope based on contrast differences and then trajectories of vesicles are obtained by analyzing their positions in consecutive images. Once the trajectories have been obtained, other quantitative movement information, such as moving speed, direction and acceleration, are derived by standard dynamic relations. Elsevier 2018-12-28 /pmc/articles/PMC6327075/ /pubmed/30671507 http://dx.doi.org/10.1016/j.dib.2018.12.076 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Biochemistry, Genetics and Molecular Biology Xu, Ye Zhang, Wendiao Chen, Yong Shan, Wenzhe Image and data processing algorithms for identifying cell-bound membrane vesicle trajectories and movement information |
title | Image and data processing algorithms for identifying cell-bound membrane vesicle trajectories and movement information |
title_full | Image and data processing algorithms for identifying cell-bound membrane vesicle trajectories and movement information |
title_fullStr | Image and data processing algorithms for identifying cell-bound membrane vesicle trajectories and movement information |
title_full_unstemmed | Image and data processing algorithms for identifying cell-bound membrane vesicle trajectories and movement information |
title_short | Image and data processing algorithms for identifying cell-bound membrane vesicle trajectories and movement information |
title_sort | image and data processing algorithms for identifying cell-bound membrane vesicle trajectories and movement information |
topic | Biochemistry, Genetics and Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327075/ https://www.ncbi.nlm.nih.gov/pubmed/30671507 http://dx.doi.org/10.1016/j.dib.2018.12.076 |
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