Automated cell identification and tracking using nanoparticle moving-light-displays.

An automated technique for the identification, tracking and analysis of biological cells is presented. It is based on the use of nanoparticles, enclosed within intra-cellular vesicles, to produce clusters of discrete, point-like fluorescent, light sources within the cells. Computational analysis of...

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Autores principales:	James A Tonkin, Paul Rees, Martyn R Brown, Rachel J Errington, Paul J Smith, Sally C Chappell, Huw D Summers
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9eca5d7beb7146dcb8f31eeb9942ddd4
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id	oai:doaj.org-article:9eca5d7beb7146dcb8f31eeb9942ddd4
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spelling	oai:doaj.org-article:9eca5d7beb7146dcb8f31eeb9942ddd42021-11-18T07:11:53ZAutomated cell identification and tracking using nanoparticle moving-light-displays.1932-620310.1371/journal.pone.0040835https://doaj.org/article/9eca5d7beb7146dcb8f31eeb9942ddd42012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22829889/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203An automated technique for the identification, tracking and analysis of biological cells is presented. It is based on the use of nanoparticles, enclosed within intra-cellular vesicles, to produce clusters of discrete, point-like fluorescent, light sources within the cells. Computational analysis of these light ensembles in successive time frames of a movie sequence, using k-means clustering and particle tracking algorithms, provides robust and automated discrimination of live cells and their motion and a quantitative measure of their proliferation. This approach is a cytometric version of the moving light display technique which is widely used for analyzing the biological motion of humans and animals. We use the endocytosis of CdTe/ZnS, core-shell quantum dots to produce the light displays within an A549, epithelial, lung cancer cell line, using time-lapse imaging with frame acquisition every 5 minutes over a 40 hour time period. The nanoparticle moving light displays provide simultaneous collection of cell motility data, resolution of mitotic traversal dynamics and identification of familial relationships allowing construction of multi-parameter lineage trees.James A TonkinPaul ReesMartyn R BrownRachel J ErringtonPaul J SmithSally C ChappellHuw D SummersPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 7, p e40835 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q James A Tonkin Paul Rees Martyn R Brown Rachel J Errington Paul J Smith Sally C Chappell Huw D Summers Automated cell identification and tracking using nanoparticle moving-light-displays.
description	An automated technique for the identification, tracking and analysis of biological cells is presented. It is based on the use of nanoparticles, enclosed within intra-cellular vesicles, to produce clusters of discrete, point-like fluorescent, light sources within the cells. Computational analysis of these light ensembles in successive time frames of a movie sequence, using k-means clustering and particle tracking algorithms, provides robust and automated discrimination of live cells and their motion and a quantitative measure of their proliferation. This approach is a cytometric version of the moving light display technique which is widely used for analyzing the biological motion of humans and animals. We use the endocytosis of CdTe/ZnS, core-shell quantum dots to produce the light displays within an A549, epithelial, lung cancer cell line, using time-lapse imaging with frame acquisition every 5 minutes over a 40 hour time period. The nanoparticle moving light displays provide simultaneous collection of cell motility data, resolution of mitotic traversal dynamics and identification of familial relationships allowing construction of multi-parameter lineage trees.
format	article
author	James A Tonkin Paul Rees Martyn R Brown Rachel J Errington Paul J Smith Sally C Chappell Huw D Summers
author_facet	James A Tonkin Paul Rees Martyn R Brown Rachel J Errington Paul J Smith Sally C Chappell Huw D Summers
author_sort	James A Tonkin
title	Automated cell identification and tracking using nanoparticle moving-light-displays.
title_short	Automated cell identification and tracking using nanoparticle moving-light-displays.
title_full	Automated cell identification and tracking using nanoparticle moving-light-displays.
title_fullStr	Automated cell identification and tracking using nanoparticle moving-light-displays.
title_full_unstemmed	Automated cell identification and tracking using nanoparticle moving-light-displays.
title_sort	automated cell identification and tracking using nanoparticle moving-light-displays.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/9eca5d7beb7146dcb8f31eeb9942ddd4
work_keys_str_mv	AT jamesatonkin automatedcellidentificationandtrackingusingnanoparticlemovinglightdisplays AT paulrees automatedcellidentificationandtrackingusingnanoparticlemovinglightdisplays AT martynrbrown automatedcellidentificationandtrackingusingnanoparticlemovinglightdisplays AT racheljerrington automatedcellidentificationandtrackingusingnanoparticlemovinglightdisplays AT pauljsmith automatedcellidentificationandtrackingusingnanoparticlemovinglightdisplays AT sallycchappell automatedcellidentificationandtrackingusingnanoparticlemovinglightdisplays AT huwdsummers automatedcellidentificationandtrackingusingnanoparticlemovinglightdisplays
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Automated cell identification and tracking using nanoparticle moving-light-displays.

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