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Measuring and Modeling Macrophage Growth Using a Lab-on-CMOS Capacitance Sensing Microsystem

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DataCite Commons2023-04-06 更新2025-04-16 收录
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https://ieee-dataport.org/documents/measuring-and-modeling-macrophage-growth-using-lab-cmos-capacitance-sensing-microsystem
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 In this archive, we provide experimental data and software that were used in our study on macrophage proliferation using a lab-on-CMOS platform.  The data are for RAW 264.7 murine Balb/c macrophages, which we cultured on a CMOS capacitance sensor. We show that macrophage growth over a wide sensing area correlates linearly with an average capacitance growth factor resulting from capacitance measurements at a plurality of electrodes dispersed in the sensing area. We further show a temporal model that captures the cell evolution in the area of interest over long periods (e.g., 30 hours). The model links the cell numbers and the average capacitance growth factor associated with the sensing area to describe the observed growth kinetics.

本数据存档中提供了我们基于芯片实验室(lab-on-CMOS platform)平台开展巨噬细胞增殖研究时所用的实验数据与配套软件。本次数据集的研究对象为RAW 264.7鼠源Balb/c巨噬细胞,我们将该细胞株培养于CMOS电容传感器表面。研究表明,在大面积传感区域内,巨噬细胞的增殖水平与平均电容增长因子呈线性相关;该增长因子由传感区域内分布式布设的多个电极采集的电容测量值计算得到。我们还构建了时序模型,可在较长时段(如30小时)内追踪目标区域内的细胞动态演化过程;该模型将细胞数量与传感区域对应的平均电容增长因子相关联,以此描述观测到的细胞增殖动力学特征。
提供机构:
IEEE DataPort
创建时间:
2023-04-06
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