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Robotic Micropipette Aspiration for Multiple Cells
As there are significant variations of cell elasticity among individual cells, measuring the elasticity of batch cells is required for obtaining statistical results of cell elasticity. At present, the micropipette aspiration (MA) technique is the most widely used cell elasticity measurement method....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562722/ https://www.ncbi.nlm.nih.gov/pubmed/31137867 http://dx.doi.org/10.3390/mi10050348 |
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author | Liu, Yaowei Cui, Maosheng Huang, Jingjing Sun, Mingzhu Zhao, Xin Zhao, Qili |
author_facet | Liu, Yaowei Cui, Maosheng Huang, Jingjing Sun, Mingzhu Zhao, Xin Zhao, Qili |
author_sort | Liu, Yaowei |
collection | PubMed |
description | As there are significant variations of cell elasticity among individual cells, measuring the elasticity of batch cells is required for obtaining statistical results of cell elasticity. At present, the micropipette aspiration (MA) technique is the most widely used cell elasticity measurement method. Due to a lack of effective cell storage and delivery methods, the existing manual and robotic MA methods are only capable of measuring a single cell at a time, making the MA of batch cells low efficiency. To address this problem, we developed a robotic MA system capable of storing multiple cells with a feeder micropipette (FM), picking up cells one-by-one to measure their elasticity with a measurement micropipette (MM). This system involved the following key techniques: Maximum permissible tilt angle of MM and FM determination, automated cell adhesion detection and cell adhesion break, and automated cell aspiration. The experimental results demonstrated that our system was able to continuously measure more than 20 cells with a manipulation speed quadrupled in comparison to existing methods. With the batch cell measurement ability, cell elasticity of pig ovum cultured in different environmental conditions was measured to find optimized culturing protocols for oocyte maturation. |
format | Online Article Text |
id | pubmed-6562722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65627222019-06-17 Robotic Micropipette Aspiration for Multiple Cells Liu, Yaowei Cui, Maosheng Huang, Jingjing Sun, Mingzhu Zhao, Xin Zhao, Qili Micromachines (Basel) Article As there are significant variations of cell elasticity among individual cells, measuring the elasticity of batch cells is required for obtaining statistical results of cell elasticity. At present, the micropipette aspiration (MA) technique is the most widely used cell elasticity measurement method. Due to a lack of effective cell storage and delivery methods, the existing manual and robotic MA methods are only capable of measuring a single cell at a time, making the MA of batch cells low efficiency. To address this problem, we developed a robotic MA system capable of storing multiple cells with a feeder micropipette (FM), picking up cells one-by-one to measure their elasticity with a measurement micropipette (MM). This system involved the following key techniques: Maximum permissible tilt angle of MM and FM determination, automated cell adhesion detection and cell adhesion break, and automated cell aspiration. The experimental results demonstrated that our system was able to continuously measure more than 20 cells with a manipulation speed quadrupled in comparison to existing methods. With the batch cell measurement ability, cell elasticity of pig ovum cultured in different environmental conditions was measured to find optimized culturing protocols for oocyte maturation. MDPI 2019-05-27 /pmc/articles/PMC6562722/ /pubmed/31137867 http://dx.doi.org/10.3390/mi10050348 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Yaowei Cui, Maosheng Huang, Jingjing Sun, Mingzhu Zhao, Xin Zhao, Qili Robotic Micropipette Aspiration for Multiple Cells |
title | Robotic Micropipette Aspiration for Multiple Cells |
title_full | Robotic Micropipette Aspiration for Multiple Cells |
title_fullStr | Robotic Micropipette Aspiration for Multiple Cells |
title_full_unstemmed | Robotic Micropipette Aspiration for Multiple Cells |
title_short | Robotic Micropipette Aspiration for Multiple Cells |
title_sort | robotic micropipette aspiration for multiple cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562722/ https://www.ncbi.nlm.nih.gov/pubmed/31137867 http://dx.doi.org/10.3390/mi10050348 |
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