Empower Your Research with Live-Cell Analysis
Live cell analysis is essential for kinetically tracking biological changes over long periods, requiring accessible, high-throughput, and precise analysis.
Traditional imaging tools often fail to capture crucial biological changes due to limited capacity, and their processes can disturb cells, leading to misleading experimental artifacts. Additionally, the low throughput of existing solutions is inadequate for frontline industrial applications. The Incucyte® Live-Cell Imaging and Analysis System is designed for high-throughput applications, with non-invasive imaging techniques to minimize cell perturbance and ensure the accuracy and reliability of the results. Enable real-time data, faster decision-making, and increased productivity.
Kinetic Quantification of Cell Proliferation Using Live-Cell Analysis
Cell proliferation assays are a cornerstone of cancer therapeutic, developmental biology, and drug safety research. Live-cell analysis is ideally suited to enable this, providing valuable information without interfering with cell growth. It enables the real-time quantification of living cells’ behavior using time-lapse imaging providing data visualization for long-term cell-based experiments.
DownloadCell-based phenotypic screening with Incucyte® Live-Cell Analysis Systems
Phenotypic screening is a vital tool in drug discovery, enabling scientists to rapidly identify potential drugs early in the discovery pipeline. Live-cell imaging provides vastly more biological information than a single endpoint readout revealing insight into growth and morphology changes of cells within a physiologically relevant environment.
DownloadAI Driven Label-Free Quantification of Cell Viability Using Live-Cell Analysis
Incorporating AI into image analysis workflows has enabled powerful quantification of cellular models, allowing researchers to make data-driven decisions and understand disease at a granular level. These technologies, based on neural-network algorithms, are more complex than traditional image analysis, facilitating robust segmentation of heterogenous cell morphologies whilst minimizing user-introduced bias.
DownloadInnovative AI Techniques - Accurate Analysis of Cell Morphology and Viability
Explore the advantages of using a widely trained neural network for segmentation of different cellular models and using the resulting morphological descriptors to classify cells using a machine learning-based classifier.
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