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Single Cell Deposition and Patterning with a Robotic System

Integrating single-cell manipulation techniques in traditional and emerging biological culture systems is challenging. Microfabricated devices for single cell studies in particular often require cells to be spatially positioned at specific culture sites on the device surface. This paper presents a r...

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Detalles Bibliográficos
Autores principales: Lu, Zhe, Moraes, Christopher, Ye, George, Simmons, Craig A., Sun, Yu
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2958835/
https://www.ncbi.nlm.nih.gov/pubmed/21042403
http://dx.doi.org/10.1371/journal.pone.0013542
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author Lu, Zhe
Moraes, Christopher
Ye, George
Simmons, Craig A.
Sun, Yu
author_facet Lu, Zhe
Moraes, Christopher
Ye, George
Simmons, Craig A.
Sun, Yu
author_sort Lu, Zhe
collection PubMed
description Integrating single-cell manipulation techniques in traditional and emerging biological culture systems is challenging. Microfabricated devices for single cell studies in particular often require cells to be spatially positioned at specific culture sites on the device surface. This paper presents a robotic micromanipulation system for pick-and-place positioning of single cells. By integrating computer vision and motion control algorithms, the system visually tracks a cell in real time and controls multiple positioning devices simultaneously to accurately pick up a single cell, transfer it to a desired substrate, and deposit it at a specified location. A traditional glass micropipette is used, and whole- and partial-cell aspiration techniques are investigated to manipulate single cells. Partially aspirating cells resulted in an operation speed of 15 seconds per cell and a 95% success rate. In contrast, the whole-cell aspiration method required 30 seconds per cell and achieved a success rate of 80%. The broad applicability of this robotic manipulation technique is demonstrated using multiple cell types on traditional substrates and on open-top microfabricated devices, without requiring modifications to device designs. Furthermore, we used this serial deposition process in conjunction with an established parallel cell manipulation technique to improve the efficiency of single cell capture from ∼80% to 100%. Using a robotic micromanipulation system to position single cells on a substrate is demonstrated as an effective stand-alone or bolstering technology for single-cell studies, eliminating some of the drawbacks associated with standard single-cell handling and manipulation techniques.
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spelling pubmed-29588352010-11-01 Single Cell Deposition and Patterning with a Robotic System Lu, Zhe Moraes, Christopher Ye, George Simmons, Craig A. Sun, Yu PLoS One Research Article Integrating single-cell manipulation techniques in traditional and emerging biological culture systems is challenging. Microfabricated devices for single cell studies in particular often require cells to be spatially positioned at specific culture sites on the device surface. This paper presents a robotic micromanipulation system for pick-and-place positioning of single cells. By integrating computer vision and motion control algorithms, the system visually tracks a cell in real time and controls multiple positioning devices simultaneously to accurately pick up a single cell, transfer it to a desired substrate, and deposit it at a specified location. A traditional glass micropipette is used, and whole- and partial-cell aspiration techniques are investigated to manipulate single cells. Partially aspirating cells resulted in an operation speed of 15 seconds per cell and a 95% success rate. In contrast, the whole-cell aspiration method required 30 seconds per cell and achieved a success rate of 80%. The broad applicability of this robotic manipulation technique is demonstrated using multiple cell types on traditional substrates and on open-top microfabricated devices, without requiring modifications to device designs. Furthermore, we used this serial deposition process in conjunction with an established parallel cell manipulation technique to improve the efficiency of single cell capture from ∼80% to 100%. Using a robotic micromanipulation system to position single cells on a substrate is demonstrated as an effective stand-alone or bolstering technology for single-cell studies, eliminating some of the drawbacks associated with standard single-cell handling and manipulation techniques. Public Library of Science 2010-10-21 /pmc/articles/PMC2958835/ /pubmed/21042403 http://dx.doi.org/10.1371/journal.pone.0013542 Text en Lu et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lu, Zhe
Moraes, Christopher
Ye, George
Simmons, Craig A.
Sun, Yu
Single Cell Deposition and Patterning with a Robotic System
title Single Cell Deposition and Patterning with a Robotic System
title_full Single Cell Deposition and Patterning with a Robotic System
title_fullStr Single Cell Deposition and Patterning with a Robotic System
title_full_unstemmed Single Cell Deposition and Patterning with a Robotic System
title_short Single Cell Deposition and Patterning with a Robotic System
title_sort single cell deposition and patterning with a robotic system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2958835/
https://www.ncbi.nlm.nih.gov/pubmed/21042403
http://dx.doi.org/10.1371/journal.pone.0013542
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