由于癌症是全球主要死亡原因之一，因此需要开发准确、经济高效、易于使用且快速的药物检测方法。虽然作为金标准的 NCI 60 细胞系筛选基于比色测定，但电学监测细胞构成了一种无标记且非侵入性的工具，用于评估化疗治疗对癌细胞的细胞毒性作用。几十年来，基于阻抗的细胞测定广泛研究了受药物治疗影响的各种细胞特征，但缺乏时空分辨率。随着微电极制造的进步，具有亚细胞分辨率和时间连续记录能力的基于高密度互补金属氧化物半导体（CMOS）的微电极阵列（MEA）成为一种有效的替代方案。在本文中，我们提出了一种新的基于细胞粘附噪声 (CAN) 的电成像技术，以扩展 CMOS MEA 细胞生物学应用：CAN 光谱能够以单细胞空间分辨率进行药物筛选定量。化疗剂 5-氟尿嘧啶对结直肠癌 (CRC) 细胞产生细胞毒性作用，阻碍细胞增殖并降低细胞活力。为了进行概念验证，我们发现与市售标准比色生物测定相比，CAN 光谱具有足够的准确性和重现性。这种无标记、非侵入性、快速的电成像技术补充了标准化的癌症筛查方法，与现有的基于阻抗的方法相比，具有显着的进步。版权所有 © 2024 Ell、Bui、Kigili、Zeck 和 Prado-López。

With cancer as one of the leading causes of death worldwide, there is a need for the development of accurate, cost-effective, easy-to-use, and fast drug-testing assays. While the NCI 60 cell-line screening as the gold standard is based on a colorimetric assay, monitoring cells electrically constitutes a label-free and non-invasive tool to assess the cytotoxic effects of a chemotherapeutic treatment on cancer cells. For decades, impedance-based cellular assays extensively investigated various cell characteristics affected by drug treatment but lack spatiotemporal resolution. With progress in microelectrode fabrication, high-density Complementary Metal Oxide Semiconductor (CMOS)-based microelectrode arrays (MEAs) with subcellular resolution and time-continuous recording capability emerged as a potent alternative. In this article, we present a new cell adhesion noise (CAN)-based electrical imaging technique to expand CMOS MEA cell-biology applications: CAN spectroscopy enables drug screening quantification with single-cell spatial resolution. The chemotherapeutic agent 5-Fluorouracil exerts a cytotoxic effect on colorectal cancer (CRC) cells hampering cell proliferation and lowering cell viability. For proof-of-concept, we found sufficient accuracy and reproducibility for CAN spectroscopy compared to a commercially available standard colorimetric biological assay. This label-free, non-invasive, and fast electrical imaging technique complements standardized cancer screening methods with significant advances over established impedance-based approaches.Copyright © 2024 Ell, Bui, Kigili, Zeck and Prado-López.