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Virginia Tech

Label-Free Microfluidic Devices for Single-Cell Analysis and Liquid Biopsies

Abstract

dc:description.abstract

Mortality due to cancer is a global health issue that can be improved through further development of diagnostic and prognostic tools. Recent advancements in technologies aiding cancer research have made significant strides, however a demand for a non-invasive clinically relevant point-of-care tools exists. To accomplish this feat, the desired instrument needs to be low-cost, easy-to-operate, efficient, and have rapid processing and analysis. Microfluidic platforms in cancer research have proven to be advantageous due to its operation at the microscale, which has low costs, favorable physics, high precision, short experimentation time, and requires minimal reagent and sample sizes. Label-free technologies rely on cell biophysical characteristics to identify, evaluate, and study biological samples. Biomechanical probing of cells through deformability assays provides a label-free method of identifying cell health and monitoring response to physical and chemical stimuli. Bioimpedance analysis is an alternative versatile label-free method of evaluating cell characteristics by measuring cell response to electrical signals. Microfluidic technologies can facilitate biomechanical and bioelectrical analysis through deformability assays and impedance spectroscopy. This dissertation demonstrates scientific contributions towards single-cell analysis and liquid biopsy devices focusing on cancer research. First, cell deformability assays were improved through the introduction of multi-constriction channels, which revealed that cells have a non-linear response to deformation. Combining impedance analysis with microfluidic deformability assays provided a large dataset of mechano-electrical information, which improved cell characterization and greatly decreased post-processing times. Next, two unique biosensors demonstrated improved throughput while maintaining sensitivity of single-cell analysis assays through parallelization and incorporating machine learning for data processing. Liquid biopsies involve studying cancer cells in patient vascular systems, called circulating tumor cells (CTCs), through blood samples. CTC tests reveal valuable information on patient prognosis, diagnosis and can aide therapy selection in a minimally invasive manner. This body of work presents two liquid biopsy devices that enrich murine and human blood samples and isolate CTCs to ease detection and analysis. Additionally, a microfluidic CTC detection biosensor is introduced to reliably count and identify cancer cells in murine blood, where an extremely low-cost version of the assay is also validated. Thus, the assays presented in this dissertation show promise of microfluidic technologies towards point-of-care systems for cancer research.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Electrical Engineering
Department dc:contributor.department
Electrical Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ghassemi, Parham
Chair dc:contributor.committeechair
  • Agah, Masoud
Committee members dc:contributor.committeemember
  • Baumann, William T.
  • Jia, Xiaoting
  • Yi, Yang
  • Li, Liwu

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:33828
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/113064

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ghassemi, Parham. Label-Free Microfluidic Devices for Single-Cell Analysis and Liquid Biopsies. doctoral thesis, Virginia Tech, 2023. http://hdl.handle.net/10919/113064