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Cell Proliferation


Real-Time, Label-Free Cell Proliferation Monitoring

Quantitatively track cell growth from seeding to confluence using ECIS® Z-theta. Multi-frequency impedance and high-frequency capacitance provide a clearer, more direct readout of proliferation.

  • • Continuous, real-time measurements
  • • Label-free and non-invasive
  • • Capacitance-based quantification of electrode coverage
Cell Proliferation Graph
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Why Use ECIS® for Proliferation?

As cells proliferate, changes in cell number and morphology alter the electrical properties at the electrode surface. ECIS® captures these changes continuously, revealing growth dynamics that are difficult to observe with endpoint assays.

Real-time growth curves

Observe proliferation continuously instead of relying on single time points.

Sub-confluent to confluent

Track the full progression of cell coverage across the electrode.

Condition comparisons

Quantitatively compare growth rates across treatments and environments.

The Advantage of Capacitance

Total or simple impedance measurements can be ambiguous, as multiple cellular behaviors may produce similar responses. ECIS® Z-theta resolves this by using complex impedance and separates impedance into resistance and capacitance across multiple frequencies.

At higher AC frequencies, capacitance decreases in proportion to the fraction of the electrode covered by cells, making it a highly sensitive and quantitative indicator of proliferation.

AI Simulated Proliferation Graph
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Recommended Arrays for Proliferation Studies

Some experimental protocols, such as cell proliferation, require sparse inoculations leading to a variance of cell density at the bottom of the well. Large electrodes (20idf Array) or a large collection of small electrodes (10E+ Array) increases the sampling size resulting in less variability.

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Proliferation Arrays

Products Related to Proliferation

Key Publications

N6-methyladenosine-modified GPX2 impacts cancer cell stemness and TKI resistance through regulating of redox metabolism., Yang, Xu,Yu, Long,Shao, Miaomiao,Yang, Huiling,Qi, Kangwei,He, Gaofei,Wang, Lanxin,Kong, Di,Gu, Jianxin,Xu, Xiaolin,Wang, Lan (2025). Cell Death and Disease 16 (1) : doi:10.1038/s41419-025-07764-0
Aurintricarboxylic acid inhibits the malignant phenotypes of drug-resistant cells via translation regulation., Shang, Keke,Chen, Yang,Jin, Jingjie,Wang, Tong,Zhang, Gong (2025). Frontiers in Oncology 15 (May) : 1-10 doi:10.3389/fonc.2025.1576685
EPLIN, a prospective oncogenic molecule with contribution to growth, migration and drug resistance in pancreatic cancer., Zeng, Jianyuan,Wang, Cai,Ruge, Fiona,Ji, Edison Ke,Martin, Tracey A.,Sanders, Andrew J.,Jia, Shuqin,Hao, Chunyi,Jiang, Wen G. (2024). Scientific Reports 14 (1) : 1-21 doi:10.1038/s41598-024-81485-w

*See our publications page to explore more publications with ECIS®

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