Incucyte® AI Confluence Analysis
Incucyte® Proliferation Assays for Live-Cell Analysis
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The Incucyte® Live-Cell Analysis System uses multiple strategies to measure the same sample over time. Using either integrated, powerful software tools and artificial intelligence (AI), or combining this label-free approach with non-perturbing reagents, quantification of cell proliferation at a microplate level has never been easier.
Incucyte® live-cell analysis solutions include:
- Non-invasive, image-based measurements of cell growth based on area (confluence) or cell number (count) metrics, visually verified via images and movies
- Selection of label-free or fluorescent assays depending on the specific scientific question being asked and the cell models studied
- Continuous live-cell assays for both adherent and non-adherent cells in which the cells remain stationary inside a standard tissue culture incubator while Incucyte® optics move
- Cells within the same population are tracked continuously over time via repeated interrogation of the same well, without loss of environmental control
- Real-time data can distinguish temporal differences in drug or treatment effects and enable decisions as experiments progress
Artificial intelligence enhances label-free live-cell imaging
As cellular models are progressively increasing in complexity this has driven the need for label-free and non-perturbing approaches to accurately quantify dynamic cellular processes. The incorporation of artificial intelligence (AI) and advanced machine learning (ML) into image analysis workflows is now streamlining this process and enabling robust, user-friendly quantification of a wide range of cellular models.
This eBook provides an overview of recent label-free image analysis developments and focuses on how AI-driven image analysis is transforming live-cell imaging. This free guide will also highlight:
- How intuitive label-free analysis simplifies quantification of complex biological behavior
- The application of label-free analysis in the drug discovery process through providing high-throughput physiologically relevant insights into cell health and compound efficacy
