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Self-aligned sequential lateral field non-uniformities over channel depth for high throughput dielectrophoretic cell deflection
Author(s) -
Xuhai Huang,
Karina TorresCastro,
Walter Varhue,
Armita Salahi,
Rasin Ahmed,
Carlos Honrado,
Audrey C. Brown,
Jennifer L. Güler,
Nathan S. Swami
Publication year - 2021
Publication title -
lab on a chip
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.064
H-Index - 210
eISSN - 1473-0197
pISSN - 1473-0189
DOI - 10.1039/d0lc01211d
Subject(s) - deflection (physics) , materials science , channel (broadcasting) , throughput , dielectrophoresis , optoelectronics , nanotechnology , optics , electrical engineering , engineering , microfluidics , physics , wireless , telecommunications
Dielectrophoresis (DEP) enables the separation of cells based on subtle subcellular phenotypic differences by controlling the frequency of the applied field. However, current electrode-based geometries extend over a limited depth of the sample channel, thereby reducing the throughput of the manipulated sample (sub-μL min-1 flow rates and <105 cells per mL). We present a flow through device with self-aligned sequential field non-uniformities extending laterally across the sample channel width (100 μm) that are created by metal patterned over the entire depth (50 μm) of the sample channel sidewall using a single lithography step. This enables single-cell streamlines to undergo progressive DEP deflection with minimal dependence on the cell starting position, its orientation versus the field and intercellular interactions. Phenotype-specific cell separation is validated (>μL min-1 flow and >106 cells per mL) using heterogeneous samples of healthy and glutaraldehyde-fixed red blood cells, with single-cell impedance cytometry showing that the DEP collected fractions are intact and exhibit electrical opacity differences consistent with their capacitance-based DEP crossover frequency. This geometry can address the vision of an "all electric" selective cell isolation and cytometry system for quantifying phenotypic heterogeneity of cellular systems.

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