SCIENTIFIC POSTER
AI-enabled hit selection of drug screening on human pancreatic cancer organoids
Despite the latest advances in oncology, most cancer patients lack tailored therapeutic approaches with lasting benefit.
Measuring the impact of anticancer compounds and their combinations is only possible on ex vivo assays. To this end, patient-derived organoids (PDOs) have been proposed as viable and efficient models for ex vivo testing.
Here, we exposed human pancreatic cancer PDOs to a panel of anti-cancer compounds at different doses and followed their response to the drugs using high-content confocal imaging. Using an AI-based approach, we efficiently detected each organoid and extracted phenotypic features from all three channels (TL, live stain, and dead stain) which correlate with cytotoxicity. This AI-powered method demonstrates the feasibility of performing drug screening using a robust and unbiased data analysis approach.
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Product family
Imaging
Product primary application
ImageXpress Micro Confocal High-Content Imaging System; IN Carta Image Analysis Software; MetaXpress High-Content Image Acquisition and Analysis Software
CMP
701Rn00000CyRL1IAN
Title
AI-enabled hit selection of drug screening on human pancreatic cancer organoids
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