Dataset - Noninvasive real-time monitoring of cellular spatiotemporal dynamics via machine learning-enhanced electrical impedance spectroscopy

This dataset contains experimental data collected from Electrical Impedance Spectroscopy (EIS) measurements and image-based cell segmentation under three different conditions: monoculture-1 (MC1), monoculture-2 (MC2), and co-culture (CC). The dataset includes observations for MCF10A, MCF7, and MCF10A-Ac cell types, as well as their co-cultures. Data Description Each row in the dataset corresponds to a single measurement or observation. The columns are as follows: exp_kind: Type of experiment (MC1, MC2, CC). exp_num: Unique experiment identifier. cell_type: Type of cells used (MCF10A, MCF7, MCF10A-Ac, or mixed). xy: Position on the electrode array (indexed 1–25 from top-left to bottom-right). t: Time point index during data acquisition. elapsed_time: Time (in seconds) elapsed since the start of the experiment. freq: Array of frequency points used in the EIS measurement. modulus, phase, real, imag: Raw EIS measurement values across frequencies. cal_modulus, cal_phase, cal_real, cal_imag: Calibrated EIS values after open-load compensation (used for model predictions). cell_density: Cell density measured in cells/mm². covered_area: Fraction of the electrode area covered by cells (range: 0–1). mean_cell_diameter: Average diameter of segmented cells in micrometers (µm). percentage_n_vs_c: Percentage of normal (MCF10A/MCF10A-Ac) versus cancerous (MCF7) cells in co-culture conditions.