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dc.contributor.authorXu, Feng
dc.contributor.authorMoon, SangJun
dc.contributor.authorHefner, Evan
dc.contributor.authorBeyazoglu, Turker
dc.contributor.authorEmre, Ahmet E.
dc.contributor.authorManzur, Tariq
dc.contributor.authorDemirci, Utkan
dc.date.accessioned2011-03-10T19:43:20Z
dc.date.available2011-03-10T19:43:20Z
dc.date.issued2010-04
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/1721.1/61649
dc.description.abstractCell-based biosensors (CBBs) have important applications in biosecurity and rapid diagnostics. Current CBB technologies have challenges including cell immobilization on the sensors, high throughput fabrication and portability, and rapid detection of responses to environmental changes. We address these challenges by developing an integrated CBB platform that merges cell printing technology, a lensless charge-coupled device (CCD) imaging system, and custom-developed cell image processing software. Cell printing was used to immobilize cells within hydrogel droplets and pattern these droplets on a microfluidic chip. The CCD was used to detect the morphological response of the immobilized cells to external stimuli (e.g., environmental temperature change) using lensless shadow images. The morphological information can be also detected by sensing a small disturbance in cell alignment, i.e., minor alignment changes of smooth muscles cells on the biosensors. The automatic cell alignment quantification software was used to process the cell images (microscopic image was used as an example) and calculate the cell orientation in seconds. The same images were also manually processed as a control to validate and characterize the integrated platform functionality. The results showed software can measure the cell morphology (i.e., orientation) in an automated way without the need for labeling (e.g., florescent staining). Such an integrated CBB system will allow fabrication of CBBs at high throughput as well as rapidly monitor and measure morphological cellular responses.en_US
dc.language.isoen_US
dc.publisherSociety of Photo-optical Instrumentation Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/12.852187en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSPIEen_US
dc.titleA high-throughput label-free cell-based biosensor (CBB) systemen_US
dc.typeArticleen_US
dc.identifier.citationXu, Feng et al. “A high-throughput label-free cell-based biosensor (CBB) system.” Unattended Ground, Sea, and Air Sensor Technologies and Applications XII. Ed. Edward M. Carapezza. Orlando, Florida, USA: SPIE, 2010. 76931B-7. © 2010 SPIE.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.approverDemirci, Utkan
dc.contributor.mitauthorDemirci, Utkan
dc.contributor.mitauthorHefner, Evan
dc.relation.journalProceedings of SPIE--the International Society for Optical Engineering ; v. 7693en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsXu, Feng; Moon, SangJun; Hefner, Evan; Beyazoglu, Turker; Emre, Ahmet E.; Manzur, Tariq; Demirci, Utkanen
mit.licensePUBLISHER_POLICYen_US


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