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Automated high-speed 3D imaging of organoid cultures with multi-scale phenotypic quantification.

Anne BeghinGianluca GrenciGeetika SahniSu GuoHarini RajendiranTom DelaireSaburnisha Binte Mohamad RaffiDamien BlancRichard de MetsHui Ting OngXareni GalindoAnais MonetVidhyalakshmi AcharyaVictor RacineFlorian LevetRemi GallandJean-Baptiste SibaritaVirgile Viasnoff
Published in: Nature methods (2022)
Current imaging approaches limit the ability to perform multi-scale characterization of three-dimensional (3D) organotypic cultures (organoids) in large numbers. Here, we present an automated multi-scale 3D imaging platform synergizing high-density organoid cultures with rapid and live 3D single-objective light-sheet imaging. It is composed of disposable microfabricated organoid culture chips, termed JeWells, with embedded optical components and a laser beam-steering unit coupled to a commercial inverted microscope. It permits streamlining organoid culture and high-content 3D imaging on a single user-friendly instrument with minimal manipulations and a throughput of 300 organoids per hour. We demonstrate that the large number of 3D stacks that can be collected via our platform allows training deep learning-based algorithms to quantify morphogenetic organizations of organoids at multi-scales, ranging from the subcellular scale to the whole organoid level. We validated the versatility and robustness of our approach on intestine, hepatic, neuroectoderm organoids and oncospheres.
Keyphrases
  • high resolution
  • high speed
  • deep learning
  • machine learning
  • high density
  • blood pressure
  • atomic force microscopy
  • mass spectrometry
  • induced pluripotent stem cells
  • convolutional neural network