APPLICATION NOTE
Automated iPSC culture using machine learning-enabled cell passaging and differentiated iPSC detection
Automated iPSC culture with smart passaging powered by machine learning
Discover how the CellXpress.ai® Automated Cell Culture System transforms iPSC maintenance and expansion into a fully automated, walk-away workflow. This application note showcases a machine learning–enabled solution that monitors colony confluency and differentiation in real time, triggering automated passaging or excluding wells based on user-defined thresholds. By integrating liquid handling, imaging, and intelligent decision-making, the system reduces manual workload, improves consistency, and preserves stem cell quality.
Ideal for scaling up stem cell research, this approach ensures reproducibility, saves time and reagents, and empowers scientists to focus on discovery—not routine cell culture.
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Product family
3D Biology
Product primary application
CellXpress.ai Automated Cell Culture System; IN Carta Image Analysis Software; Stem Cell Research; AI machine learning and deep learning tools for cell image analysis
cmp
701Rn00000gP4bOIAS
Title
Automated iPSC culture using machine learning-enabled cell passaging and differentiated iPSC detection
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