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An opto-fluidic architecture for image-based sorting of biological cells and particles

Author(s)
Kovač, Joseph (Joseph R.)
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Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Joel Voldman.
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M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
The present state of technology provides limited practical options for viably sorting and capturing biological cells based on visual information. This thesis presents a novel opto-fluidic architecture which enables potentially viable image-based cell sorting. The architecture combines a trivially-fabricated microfluidic device with a laser and simple support optics to create a platform which enables user-friendly, intuitive, image-based sorting of cells. The microfluidic device contains a microfabricated array of poly-(dimethylsiloxane) (PDMS) wells which are used to passively array cells for visual inspection using any microscopy method (phase, fluorescence, etc.). After inspecting cells, the architecture allows capture of cells of interest by allowing exertion of radiation pressure onto a target cell via the integrated laser, levitating the cell from the well array, and into the flow-field of the microfluidic device for downstream collection and isolation. This thesis presents the design, fabrication, and testing of the platform, and presents a plan for integration of the system into a typical upright microscope.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2007.
 
Includes bibliographical references (leaves 81-82).
 
Date issued
2007
URI
http://hdl.handle.net/1721.1/41660
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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