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dc.contributor.authorPaul, Alison Marieen_US
dc.date.accessioned2013-01-17T21:33:54Z
dc.date.available2013-01-17T21:33:54Z
dc.date.issued2011-08-25en_US
dc.identifier.urihttp://hdl.handle.net/1853/45818
dc.description.abstractThe overall goal of this research was to develop an efficient microfluidic system to study signal transduction in stimulation dynamics. This research applied reactive transport fundamentals in concert with biological systems knowledge to completely understand diffusion of soluble signals, fluid and particle flow properties, and dynamics of cellular responses. First, a device capable of parallel multi-time-point cell stimulation and lysis on-chip was developed in collaboration. Second, to understand flow of cells through complex 3-D flow schemes, a Single-field Three-dimensional Epifluorescence Particle (STEP) imaging technique was developed. Using the STEP imaging technique, we were able to determine particle distributions and track individual particles in complex flow geometries. Third, during the design of the stimulation device it was observed that the cells do not distribute across the channel in the same way as the fluids. Based on the observation that geometry and particle size were most influential factors on particle distribution, it was hypothesized that our earlier observation and all observed phenomena in our experimental range were due to the volume exclusion of particles of finite size near the wall of the complex flow geometry. Overall, this work contributed to the realization of microfluidic platforms as powerful tools for probing areas of biology and medicine that are difficult with existing technology. The high-throughput format enabled simple and fast generation of large sets of quantitative data, with consistent sample handling. We demonstrated the necessary first steps to designing efficient unit operations on cells in microfluidic devices. The model can be used for informed design of unit operations in many applications in the future.en_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectMicrofluidicsen_US
dc.subjectMixingen_US
dc.subjectParticle mixingen_US
dc.subjectSystems biologyen_US
dc.subject.lcshParticle image velocimetry
dc.subject.lcshFlow visualization
dc.subject.lcshCellular signal transduction
dc.subject.lcshBioengineering
dc.titleDesign and optimization of efficient microfluidic platforms for particle manipulation and cell stimulation in systems biologyen_US
dc.typeDissertationen_US
dc.description.degreePhDen_US
dc.contributor.departmentChemical Engineeringen_US
dc.description.advisorCommittee Chair: Hang Lu; Committee Member: Andres Garcia; Committee Member: Melissa Kemp; Committee Member: Victor Breedveld; Committee Member: William Korosen_US


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