Subject: Achieve High-Accuracy Label-Free Detection with AI
Achieve High-Accuracy Label-Free Detection with AI
Traditional fluorescence-based workflows can be time-consuming, invasive, and costly.
Discover how researchers are using AI-enabled label-free imaging with IN Carta® Image Analysis Software to achieve highly accurate nuclei and cell detection — without relying on fluorescent or chemical labels.
Key highlights include:
- Over 97% nuclei detection accuracy using transmitted light images
- Real-time, non-invasive monitoring of live cells
- AI-powered segmentation models trained across multiple cell lines
- Faster workflows with reduced reagent costs and simplified processing
- Strong correlation with traditional DAPI-based analysis methods
This application note demonstrates how customizable AI models and label-free imaging can accelerate high-throughput and phenotypic screening while preserving cell viability.
Download the application note to explore the complete workflow and results.
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