胶质瘤
微流控
细胞
生物系统
鉴定(生物学)
材料科学
纳米技术
癌症研究
化学
生物
生物化学
植物
作者
Xiang Ren,Hongming Ji,Xin Geng
出处
期刊:Neuro-oncology
[Oxford University Press]
日期:2022-11-01
卷期号:24 (Supplement_7): vii13-vii13
标识
DOI:10.1093/neuonc/noac209.051
摘要
Abstract This study introduces a multicontraction microfluidic channel that can differentiate glioma cells from normal glio cells. As cells pass through successive constriction channels, the incremental velocity and varying size profiles of the cells will be collected, reflecting their biophysical properties. The data of high-dimensional variables were analyzed , including the cell sizes, velocities, and velocity increments. The prediction value is used to represent the difference between two groups using the established classification model from high-dimensional variables. At the same time, we prepared three groups of primary tumor cells from patients with different grades of glioma to verify the efficacy of this classification method. The results show that in this microfluidic channel, the diagnostic model made of cell biophysical properties can well identify glioma cells, which gives a novel method for efficient identification of circulating tumor cells and rapid pathological diagnosis.
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