Authors
Anuj Kaushik, Mayank Kumar, Rochish Thaokar, Himanshu Shekhar
Published in
JASA express letters. Volume 6. Issue 7. Jul 01, 2026.
Abstract
A computational electroacoustic framework is presented for morphology-dependent characterization of single red blood cells. Electric fields obtained via finite-element modeling were converted into initial electroacoustic pressure sources and propagated using k-Wave simulations. Normal red blood cells and stomatocytes were modeled using Cassini ovals, while spherocyte, elliptocyte, echinocyte, and sickle geometries were constructed using analytical contours with equal 2D cross-sectional area. Simulated time-domain signals exhibit morphology-dependent variations in amplitude and temporal width, while frequency spectra (1-1000 MHz) reveal distinct first spectral minima for each cell type. These electroacoustic signatures demonstrate the feasibility of label-free single-cell characterization and establish a foundation for electroacoustic flow cytometry.
PMID:
42455709
Bibliographic data and abstract were imported from PubMed on 16 Jul 2026.
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