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Automated single-cell motility analysis on a chip using lensfree microscopy
Quantitative cell motility studies are necessary for understanding biophysical processes, developing models for cell locomotion and for drug discovery. Such studies are typically performed by controlling environmental conditions around a lens-based microscope, requiring costly instruments while stil...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3989554/ https://www.ncbi.nlm.nih.gov/pubmed/24739819 http://dx.doi.org/10.1038/srep04717 |
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author | Pushkarsky, Ivan Lyb, Yunbo Weaver, Westbrook Su, Ting-Wei Mudanyali, Onur Ozcan, Aydogan Di Carlo, Dino |
author_facet | Pushkarsky, Ivan Lyb, Yunbo Weaver, Westbrook Su, Ting-Wei Mudanyali, Onur Ozcan, Aydogan Di Carlo, Dino |
author_sort | Pushkarsky, Ivan |
collection | PubMed |
description | Quantitative cell motility studies are necessary for understanding biophysical processes, developing models for cell locomotion and for drug discovery. Such studies are typically performed by controlling environmental conditions around a lens-based microscope, requiring costly instruments while still remaining limited in field-of-view. Here we present a compact cell monitoring platform utilizing a wide-field (24 mm(2)) lensless holographic microscope that enables automated single-cell tracking of large populations that is compatible with a standard laboratory incubator. We used this platform to track NIH 3T3 cells on polyacrylamide gels over 20 hrs. We report that, over an order of magnitude of stiffness values, collagen IV surfaces lead to enhanced motility compared to fibronectin, in agreement with biological uses of these structural proteins. The increased throughput associated with lensfree on-chip imaging enables higher statistical significance in observed cell behavior and may facilitate rapid screening of drugs and genes that affect cell motility. |
format | Online Article Text |
id | pubmed-3989554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-39895542014-04-18 Automated single-cell motility analysis on a chip using lensfree microscopy Pushkarsky, Ivan Lyb, Yunbo Weaver, Westbrook Su, Ting-Wei Mudanyali, Onur Ozcan, Aydogan Di Carlo, Dino Sci Rep Article Quantitative cell motility studies are necessary for understanding biophysical processes, developing models for cell locomotion and for drug discovery. Such studies are typically performed by controlling environmental conditions around a lens-based microscope, requiring costly instruments while still remaining limited in field-of-view. Here we present a compact cell monitoring platform utilizing a wide-field (24 mm(2)) lensless holographic microscope that enables automated single-cell tracking of large populations that is compatible with a standard laboratory incubator. We used this platform to track NIH 3T3 cells on polyacrylamide gels over 20 hrs. We report that, over an order of magnitude of stiffness values, collagen IV surfaces lead to enhanced motility compared to fibronectin, in agreement with biological uses of these structural proteins. The increased throughput associated with lensfree on-chip imaging enables higher statistical significance in observed cell behavior and may facilitate rapid screening of drugs and genes that affect cell motility. Nature Publishing Group 2014-04-17 /pmc/articles/PMC3989554/ /pubmed/24739819 http://dx.doi.org/10.1038/srep04717 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. The images in this article are included in the article's Creative Commons license, unless indicated otherwise in the image credit; if the image is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the image. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Article Pushkarsky, Ivan Lyb, Yunbo Weaver, Westbrook Su, Ting-Wei Mudanyali, Onur Ozcan, Aydogan Di Carlo, Dino Automated single-cell motility analysis on a chip using lensfree microscopy |
title | Automated single-cell motility analysis on a chip using lensfree microscopy |
title_full | Automated single-cell motility analysis on a chip using lensfree microscopy |
title_fullStr | Automated single-cell motility analysis on a chip using lensfree microscopy |
title_full_unstemmed | Automated single-cell motility analysis on a chip using lensfree microscopy |
title_short | Automated single-cell motility analysis on a chip using lensfree microscopy |
title_sort | automated single-cell motility analysis on a chip using lensfree microscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3989554/ https://www.ncbi.nlm.nih.gov/pubmed/24739819 http://dx.doi.org/10.1038/srep04717 |
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