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Deep learning-based image analysis for label-free live monitoring of iPSC 3D organoid cultures

This poster outlines:

  • AI-based approaches in analysis of complex images and datasets offer highly robust results for high-content imaging workflows.
  • SINAP is a user-friendly tool to create custom deep learning models for robust segmentation of label-free biological models.
  • Phenoglyphs enables user friendly machine learning-based phenotypic profiling that can be applied to complex datasets such as patient derived spheroids.
  • SINAP and Phenoglyphs are complementary AI-tools in IN Carta software that offers an end-to-end solution, bridging the gap between complex biological questions and AI-driven answers.

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