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high-content-screening

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Generative Adversarial Network for single image super-resolution in high content screening microscopy images

  • Updated Jan 20, 2018
  • Jupyter Notebook

Novel ultrafast suite for high-throughput & high-content multiparameter screening as in drug discovery. It has unique modules for QC, bias correction, similarity measurement, clustering and visualization. It can process hundreds of samples with many markers in a few hours not days & circumvents bath effect. It couples with any plate reader.

  • Updated Feb 25, 2021
  • R

Validate the semantic correctness, metadata completeness, provenance and AI readiness of Cell Painting datasets represented in AnnData.

  • Updated Jul 18, 2026
  • Python

A bilingual work-in-progress book on AI-driven phenotypic drug discovery, from high-throughput screening and Cell Painting to machine learning and drug development.

  • Updated Jul 20, 2026

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