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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...

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Autores principales: Pushkarsky, Ivan, Lyb, Yunbo, Weaver, Westbrook, Su, Ting-Wei, Mudanyali, Onur, Ozcan, Aydogan, Di Carlo, Dino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
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.
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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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