A deformability-based biochip for precise label-free stratification of metastatic subtypes using deep learning
作者机构：City University of Hong Kong83 Tat Chee AvenueKowloonHong Kong 999077China Hong Kong Center for Cerebro-Cardiovascular Health Engineering(COCHE)Hong Kong 999077China City University of Hong Kong Futian-Shenzhen Research InstituteShenzhen 518057China
出 版 物：《Microsystems & Nanoengineering》 (微系统与纳米工程（英文）)
年 卷 期：2023年第9卷第5期
页 面：161-176页
核心收录：
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported in part by InnoHK Project on[Project 1-5 Multimodal spectroscopy(MMS)&biosensor platforms for monitoring CVDs]at Hong Kong Centre for Cerebro-cardiovascular Health Engineering(COCHE),in part by City University of Hong Kong(7020002,7005464,7005208,9667220) which is funded by the Research Grants Council(RGC),in part by Pneumoconiosis Compensation Fund Board(9211276) in part by Research Grants Council of the Hong Kong Special Administrative Region,China(CityU 21200921)
主 题：deformability metastatic precise
摘 要：Cellular deformability is a promising biomarker for evaluating the physiological state of cells in medical *** has emerged as a powerful technique for measuring cellular ***,existing microfluidic-based assays for measuring cellular deformability rely heavily on image analysis,which can limit their scalability for high-throughput ***,we develop a parallel constriction-based microfluidic flow cytometry device and an integrated computational framework(ATMQcD).The ATMQcD framework includes automatic training set generation,multiple object tracking,segmentation,and cellular deformability *** system was validated using cancer cell lines of varying metastatic potential,achieving a classification accuracy of 92.4%for invasiveness assessment and stratifying cancer cells before and after hypoxia *** ATMQcD system also demonstrated excellent performance in distinguishing cancer cells from leukocytes(accuracy=89.5%).We developed a mechanical model based on power-law rheology to quantify stiffness,which was fitted with measured data *** model evaluated metastatic potentials for multiple cancer types and mixed cell populations,even under realworld clinical *** study presents a highly robust and transferable computational framework for multiobject tracking and deformation measurement tasks in *** believe that this platform has the potential to pave the way for high-throughput analysis in clinical applications,providing a powerful tool for evaluating cellular deformability and assessing the physiological state of cells.
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