Incucyte^® AI Cell Health Analysis Software Module   (Cat. No. BA-04871) 

Incucyte^® analysis now makes use of AI technologies to process label-free images to identify and measure cells utilizing machine learning techniques and neural networks that produce:

• Accurate and robust label-free analysis to determine live versus dead cells – no fluorescent dyes needed
• Objective, repeatable results based on training sets containing millions of cells
• Ever-expanding library of cell types and experiment scenarios
• Simple workflow for all users – less input required

Incucyte^® AI Cell Health Analysis, a neural network (pre-trained with validated datasets) informs a classification algorithm for accurate processing and quantification of live or dead cells. This AI-based classifier is applied to all wells and timepoints, providing robust, segmented data and visualization of live or dead masks.

Achieve unbiased, high-quality viability data for a vast array of cell morphologies. 

• Utilize integrated AI analysis and smart default settings for classifying live/dead cells and morphological differences
• Classify cell populations based on label-free or fluorescence parameters (fluorescence intensity within cell boundary)
• Track adherent or non-adherent cell populations kinetically and easily visualize changes in viability
• Achieve consistent results with objective analysis using microplate formats, unlocking significant throughput
• Generate reproducible, robust data sets and export data from thousands of analyzed images with intuitive software and less user input

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