Statistical Modeling of Single Target Cell Encapsulation
High throughput drop-on-demand systems for separation and encapsulation of individual target cells from heterogeneous mixtures of multiple cell types is an emerging method in biotechnology that has broad applications in tissue engineering and regenerative medicine, genomics, and cryobiology. However...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | en_US |
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Public Library of Science
2011
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| Online Access: | http://hdl.handle.net/1721.1/66184 |
| _version_ | 1826209804884901888 |
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| author | Moon, SangJun Ceyhan, Elvan Gurkan, Umut Atakan Demirci, Utkan |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Moon, SangJun Ceyhan, Elvan Gurkan, Umut Atakan Demirci, Utkan |
| author_sort | Moon, SangJun |
| collection | MIT |
| description | High throughput drop-on-demand systems for separation and encapsulation of individual target cells from heterogeneous mixtures of multiple cell types is an emerging method in biotechnology that has broad applications in tissue engineering and regenerative medicine, genomics, and cryobiology. However, cell encapsulation in droplets is a random process that is hard to control. Statistical models can provide an understanding of the underlying processes and estimation of the relevant parameters, and enable reliable and repeatable control over the encapsulation of cells in droplets during the isolation process with high confidence level. We have modeled and experimentally verified a microdroplet-based cell encapsulation process for various combinations of cell loading and target cell concentrations. Here, we explain theoretically and validate experimentally a model to isolate and pattern single target cells from heterogeneous mixtures without using complex peripheral systems. |
| first_indexed | 2024-09-23T14:30:57Z |
| format | Article |
| id | mit-1721.1/66184 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:30:57Z |
| publishDate | 2011 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | mit-1721.1/661842022-10-01T21:33:37Z Statistical Modeling of Single Target Cell Encapsulation Moon, SangJun Ceyhan, Elvan Gurkan, Umut Atakan Demirci, Utkan Harvard University--MIT Division of Health Sciences and Technology Demirci, Utkan Gurkan, Umut Atakan Demirci, Utkan High throughput drop-on-demand systems for separation and encapsulation of individual target cells from heterogeneous mixtures of multiple cell types is an emerging method in biotechnology that has broad applications in tissue engineering and regenerative medicine, genomics, and cryobiology. However, cell encapsulation in droplets is a random process that is hard to control. Statistical models can provide an understanding of the underlying processes and estimation of the relevant parameters, and enable reliable and repeatable control over the encapsulation of cells in droplets during the isolation process with high confidence level. We have modeled and experimentally verified a microdroplet-based cell encapsulation process for various combinations of cell loading and target cell concentrations. Here, we explain theoretically and validate experimentally a model to isolate and pattern single target cells from heterogeneous mixtures without using complex peripheral systems. Wallace H. Coulter Foundation (Young Investigator in Bioengineering Award) National Institutes of Health (U.S.) (Grant R01AI081534) National Institutes of Health (U.S.) (Grant R21AI087107) 2011-10-05T15:37:36Z 2011-10-05T15:37:36Z 2011-07 2011-04 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/66184 Moon, SangJun et al. “Statistical Modeling of Single Target Cell Encapsulation.” Ed. Cesario V. Borlongan. PLoS ONE 6 (7) (2011): e21580. © 2011 Moon et al. en_US http://dx.doi.org/10.1371/journal.pone.0021580 PLoS ONE Creative Commons Attribution http://creativecommons.org/licenses/by/2.5/ application/pdf Public Library of Science PLoS |
| spellingShingle | Moon, SangJun Ceyhan, Elvan Gurkan, Umut Atakan Demirci, Utkan Statistical Modeling of Single Target Cell Encapsulation |
| title | Statistical Modeling of Single Target Cell Encapsulation |
| title_full | Statistical Modeling of Single Target Cell Encapsulation |
| title_fullStr | Statistical Modeling of Single Target Cell Encapsulation |
| title_full_unstemmed | Statistical Modeling of Single Target Cell Encapsulation |
| title_short | Statistical Modeling of Single Target Cell Encapsulation |
| title_sort | statistical modeling of single target cell encapsulation |
| url | http://hdl.handle.net/1721.1/66184 |
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