Incucyte® Advanced Label-Free Classification Analysis Software Module
Monitor adherent cell morphology changes objectively to determine live/dead cell counts or classify cells based on morphology via label-free multivariate analysis
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The Incucyte® Advanced Label-Free Classification Analysis add-on for the Incucyte® Cell-by-Cell Analysis enables automated identification of cell morphology changes using label-free, integrated image acquisition, segmentation and multi-variate analysis of cell shape. Track biological changes using unbiased, smart defaults – opening up new possibilities in comparison of test results across experiments to:
- Classify cells automatically and label-free based on morphology
- Perform unbiased analysis of cell morphology
- Conduct label-free phenotypic screening
Capturing data-rich information without the use of fluorescent labels has never been easier!
Applications of morphometry in live-cell analysis
Cell morphology is one of the strongest indicators of cell health. However, there is no current consensus on exactly how cell morphology should be quantified. Incucyte® Live-Cell Analysis Systems enable cells to be visualized from within an incubator over long periods of time. This application note dives into the various applications of morphometry in live-cell analysis.
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
