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Conference Paper: Automated microrobotic characterization of cell-cell communication

TitleAutomated microrobotic characterization of cell-cell communication
Authors
Issue Date2014
Citation
Proceedings - IEEE International Conference on Robotics and Automation, 2014, p. 469-474 How to Cite?
AbstractMost mammalian cells (e.g., cancer cells and cardiomyocytes) adhere to a culturing surface. Compared to robotic injection of suspended cells (e.g., embryos and oocytes), fewer attempts were made to automate the injection of adherent cells due to their smaller size, highly irregular morphology, small thickness (a few micrometers thick), and large variations in thickness across cells. This paper presents a recently developed robotic system for automated microinjection of adherent cells. The system is embedded with several new capabilities: automatically locating micropipette tips; robustly detecting the contact of micropipette tip with cell culturing surface and directly with cell membrane; and precisely compensating for accumulative positioning errors. These new capabilities make it practical to perform adherent cell microinjection truly via computer mouse clicking in front of a computer monitor, on hundreds and thousands of cells per experiment (vs. A few to tens of cells as state-of-the-art). System operation speed, success rate, and cell viability rate were quantitatively evaluated based on robotic microinjection of over 4,000 cells. This paper also reports the use of the new robotic system to perform cell-cell communication studies using large sample sizes. The gap junction function in a cardiac muscle cell line (HL-1 cells), for the first time, was quantified with the system.
Persistent Identifierhttp://hdl.handle.net/10722/349069
ISSN
2023 SCImago Journal Rankings: 1.620

 

DC FieldValueLanguage
dc.contributor.authorLiu, J.-
dc.contributor.authorSiragam, V.-
dc.contributor.authorGong, Z.-
dc.contributor.authorChen, J.-
dc.contributor.authorLeung, C.-
dc.contributor.authorLu, Z.-
dc.contributor.authorRu, C. H.-
dc.contributor.authorXie, S. R.-
dc.contributor.authorLuo, J.-
dc.contributor.authorHamilton, R.-
dc.contributor.authorSun, Y.-
dc.date.accessioned2024-10-17T06:56:03Z-
dc.date.available2024-10-17T06:56:03Z-
dc.date.issued2014-
dc.identifier.citationProceedings - IEEE International Conference on Robotics and Automation, 2014, p. 469-474-
dc.identifier.issn1050-4729-
dc.identifier.urihttp://hdl.handle.net/10722/349069-
dc.description.abstractMost mammalian cells (e.g., cancer cells and cardiomyocytes) adhere to a culturing surface. Compared to robotic injection of suspended cells (e.g., embryos and oocytes), fewer attempts were made to automate the injection of adherent cells due to their smaller size, highly irregular morphology, small thickness (a few micrometers thick), and large variations in thickness across cells. This paper presents a recently developed robotic system for automated microinjection of adherent cells. The system is embedded with several new capabilities: automatically locating micropipette tips; robustly detecting the contact of micropipette tip with cell culturing surface and directly with cell membrane; and precisely compensating for accumulative positioning errors. These new capabilities make it practical to perform adherent cell microinjection truly via computer mouse clicking in front of a computer monitor, on hundreds and thousands of cells per experiment (vs. A few to tens of cells as state-of-the-art). System operation speed, success rate, and cell viability rate were quantitatively evaluated based on robotic microinjection of over 4,000 cells. This paper also reports the use of the new robotic system to perform cell-cell communication studies using large sample sizes. The gap junction function in a cardiac muscle cell line (HL-1 cells), for the first time, was quantified with the system.-
dc.languageeng-
dc.relation.ispartofProceedings - IEEE International Conference on Robotics and Automation-
dc.titleAutomated microrobotic characterization of cell-cell communication-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICRA.2014.6906897-
dc.identifier.scopuseid_2-s2.0-84929152129-
dc.identifier.spage469-
dc.identifier.epage474-

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