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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Oppegard, S.C. Eddington, D.T. | 
| Copyright Year | 2009 | 
| Description | Author affiliation: University of Illinois at Chicago, Chicago, IL 60607 USA (Oppegard, S.C.) || Bioengineering Department, University of Illinois at Chicago, Chicago, IL 60607 USA (Eddington, D.T.) | 
| Abstract | Oxygen is a key modulator of many cellular pathways but current devices permitting in vitro oxygen modulation fail to meet the needs of many researchers. In this study, a microfabricated insert for multiwell formats has been developed to control the gas concentration of each well independent of the global incubator's condition. The platform consists of a polydimethylsiloxane (PDMS) insert that nests into a standard multiwell plate and serves as a passive network with a gas permeable membrane aimed to deliver gas to adherent cell cultures. Preliminary data demonstrate that the insert is effective in controlling the oxygen concentration at the cell surface inside a well with equilibration times in minutes rather than hours for conventional technologies. A wide variety of oxygen profiles can be attained based on the device design, such as the cyclic profile achieved in this study, and even gradients in local oxygen concentration to mimic those found in vivo for more biomimetic cellular models. | 
| Starting Page | 2097 | 
| Ending Page | 2100 | 
| File Size | 744253 | 
| Page Count | 4 | 
| File Format | |
| ISBN | 9781424432967 | 
| ISSN | 1557170X | 
| DOI | 10.1109/IEMBS.2009.5332491 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2009-09-03 | 
| Publisher Place | USA | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Oxygen Biomembranes Microchannel Cells (biology) In vivo In vitro Biological system modeling Passive networks Biochemistry Organisms | 
| Content Type | Text | 
| Resource Type | Article | 
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition | 
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