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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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2012-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0040835&type=printable |
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| _version_ | 1849470514875072512 |
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| 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 |
| collection | DOAJ |
| 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 |
| id | doaj-art-9eca5d7beb7146dcb8f31eeb9942ddd4 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-9eca5d7beb7146dcb8f31eeb9942ddd42025-08-20T03:25:08ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0177e4083510.1371/journal.pone.0040835Automated cell identification and tracking using nanoparticle moving-light-displays.James A TonkinPaul ReesMartyn R BrownRachel J ErringtonPaul J SmithSally C ChappellHuw D SummersAn 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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0040835&type=printable |
| spellingShingle | 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. PLoS ONE |
| title | 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_short | Automated cell identification and tracking using nanoparticle moving-light-displays. |
| title_sort | automated cell identification and tracking using nanoparticle moving light displays |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0040835&type=printable |
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