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OrBITS: label-free and time-lapse monitoring of patient derived organoids for advanced drug screening.

Christophe DebenEdgar Cardenas De La HozMaxim Le ComptePaul Van SchilJeroen M H HendriksPatrick LauwersSuresh Krishan YogeswaranFilip LardonPatrick PauwelsSteven Van LaereAnnemie BogaertsEvelien SmitsSteve VanlanduitAbraham Lin
Published in: Cellular oncology (Dordrecht) (2022)
Our findings validate that OrBITS, as a scalable, automated live-cell image analysis software, would facilitate the use of patient-derived organoids for drug development and therapy screening. The developed wet-lab workflow and software also has broad application potential, from providing a launching point for further brightfield-based assay development to be used for fundamental research, to guiding clinical decisions for personalized medicine.
Keyphrases
  • label free
  • high throughput
  • machine learning
  • data analysis
  • deep learning
  • stem cells
  • electronic health record
  • risk assessment
  • cell therapy
  • bone marrow
  • single cell