Analytical Chemistry, Journal Year: 2021, Volume and Issue: 93(10), P. 4567 - 4575

Published: March 4, 2021

Cellular mechanical phenotypes in connection to physiological and pathological states of cells have become a promising intrinsic biomarker for label-free cell analysis various biological research medical diagnostics. In this work, we present microfluidic system capable high-throughput cellular phenotyping based on rapid single-cell hydrodynamic stretching continuous viscoelastic fluid flow. Randomly introduced single are first aligned into streamline fluids before being guided flow splitting junction consistent stretching. The arrival individual prior the can be detected by an electrical sensing unit, which produces triggering signal activate high-speed camera on-demand imaging motion deformation through junction. phenotypes, including size deformability, extracted from these captured images. We evaluated sensitivity developed measuring synthesized hydrogel microbeads with known Young's modulus. With system, revealed statistical difference deformability microfilament disrupted, normal, fixed NIH 3T3 fibroblast cells. Furthermore, implementation machine-learning-based classification MCF-10A MDA-MB-231 mixtures, our has achieved comparable accuracy (0.9:1, 5.03:1) respect fluorescence-based cytometry results (0.97:1, 5.33:1). presented technique will open new avenues diverse biomedical applications.

Language: Английский