Title:
Design and optimization of efficient microfluidic platforms for particle manipulation and cell stimulation in systems biology

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dc.contributor.advisor Lu, Hang
dc.contributor.author Paul, Alison Marie en_US
dc.contributor.committeeMember Anes Garcia
dc.contributor.committeeMember Melissa Kemp
dc.contributor.committeeMember Victor Breedveld
dc.contributor.committeeMember William Koros
dc.contributor.department Chemical Engineering en_US
dc.date.accessioned 2013-01-17T21:33:54Z
dc.date.available 2013-01-17T21:33:54Z
dc.date.issued 2011-08-25 en_US
dc.description.abstract The 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.description.degree PhD en_US
dc.identifier.uri http://hdl.handle.net/1853/45818
dc.publisher Georgia Institute of Technology en_US
dc.subject Microfluidics en_US
dc.subject Mixing en_US
dc.subject Particle mixing en_US
dc.subject Systems biology en_US
dc.subject.lcsh Particle image velocimetry
dc.subject.lcsh Flow visualization
dc.subject.lcsh Cellular signal transduction
dc.subject.lcsh Bioengineering
dc.title Design and optimization of efficient microfluidic platforms for particle manipulation and cell stimulation in systems biology en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Lu, Hang
local.contributor.corporatename School of Chemical and Biomolecular Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 01b35ad4-1638-4e11-b368-4efa529d5545
relation.isOrgUnitOfPublication 6cfa2dc6-c5bf-4f6b-99a2-57105d8f7a6f
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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