Department of Bionanosciences, Institute of Biologically Inspired Materials, University of Natural Resources and Life Sciences, Muthgasse 11-II, 1190, Vienna, Austria.
Department of Bionanosciences, Institute of Biophysics, University of Natural Resources and Life Sciences, Muthgasse 11-II, 1190, Vienna, Austria.
Sci Rep. 2023 Nov 22;13(1):20466. doi: 10.1038/s41598-023-46550-w.
Many diseases, including cancer and covid, result in altered mechanical and electric properties of the affected cells. These changes were proposed as disease markers. Current methods to characterize such changes either provide very limited information on many cells or have extremely low throughput. We introduce electro-acoustic spinning (EAS). Cells were found to spin in combined non-rotating AC electric and acoustic fields. The rotation velocity in EAS depends critically on a cell's electrical and mechanical properties. In contrast to existing methods, the rotation is uniform in the field of view and hundreds of cells can be characterized simultaneously. We demonstrate that EAS can distinguish cells with only minor differences in electric and mechanical properties, including differences in age or the number of passages.
许多疾病，包括癌症和新冠病毒，都会导致受影响细胞的机械和电学性质发生改变。这些变化被提议作为疾病标志物。目前用于描述这些变化的方法要么只能提供关于许多细胞的非常有限的信息，要么具有极低的通量。我们引入了电声纺丝（EAS）。人们发现细胞在非旋转交流电场和声场中旋转。EAS 中的旋转速度与细胞的电学和力学性质密切相关。与现有方法相比，旋转在视场中是均匀的，并且可以同时对数百个细胞进行特征分析。我们证明 EAS 可以区分电学和力学性质只有微小差异的细胞，包括年龄或传代数的差异。
