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Microparticles with tunable,cell-like properties for quantitative acoustic mechanophenotyping

Microsystems & Nanoengineering 2023年第4期9卷 129-141页

作者： ryan dubay Eric MDarling Jason Fiering Center for Biomedical Engineering Brown UniversityProvidenceRI 02912USA Biological Microsystems DraperCambridgeMA 02139USA Department of Pathology and Laboratory Medicine Brown UniversityProvidenceRI 02912USA School of Engineering Brown UniversityProvidenceRI 02912USA Department of Orthopaedics Brown UniversityProvidenceRI 02912USA

Mechanical properties of biological cells have been shown to correlate with their biomolecular state and function,and therefore methods to measure these properties at scale are of *** microfluidic technologies can measure the mechanical properties of cells at rates over 20,000 cells/s,which is more than four orders of magnitude faster than conventional ***,precise and repeatable means to calibrate and test these new tools remain lacking,since cells themselves are by nature ***,microfluidic tools use rigid polymer microspheres for calibration because they are widely available in cell-similar sizes,but conventional microspheres do not fully capture the physiological range of other mechanical properties that are equally important to device function(e.g.,elastic modulus and density).Here,we present for the first time development of monodisperse polyacrylamide microparticles with both tunable elasticity and tunable *** these size,elasticity,and density tunable particles,we characterized a custom acoustic microfluidic device that makes single-cell measurements of mechanical *** then applied the approach to measure the distribution of the acoustic properties within samples of human leukocytes and showed that the system successfully discriminates lymphocytes from other *** initial demonstration shows how the tunable microparticles with properties within the physiologically relevant range can be used in conjunction with microfluidic devices for efficient high-throughput measurements of mechanical properties at single-cell resolution.

关键词： tunable elasticity function

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