Multi-frequency characterization of single cells through CM factors and dielectrophoresis
Name
1078691913-MIT.pdf
Description
Full printable version
Size
4.62 MB
Format
Adobe PDF
Checksum (MD5)
a0c6219b9f75251ee5cdd73cd995eff4
Author(s)
Jaffe, Alex T
Advisor(s)
Joel Voldman.
Date Issued
2018
Publisher
Massachusetts Institute of Technology
Abstract
This thesis explores the use of dielectrophoresis to discern the electrical properties of single cells by observing them at multiple frequencies. We first simulate experimental conditions to show that as we increase the number of measured frequencies, we are able to better discriminate among different cells. Furthermore, we use the simulation to find the optimal number and value of frequencies to use to best discriminate among different cells in general in a large range of frequencies and a smaller, experimentally feasible, range of frequencies. We then fabricate a microfluidic device to measure balance positions of cells and calibrate it with polystyrene beads. We utilize BA/F3 cells to define balance position equilibration when shifting from one frequency to the next within this device. Finally, we find balance positions for three different activation levels of HL60 cells treated with Cytochalasin D using the optimal frequency sequence obtained in simulation to determine the differences in discrimination abilities depending on the number of frequencies used. We quantify the discrimination abilities of the optimal one, two, and three frequencies by minimizing 0-1 loss.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 78-79).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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