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Pheno-Morphological Screening and Acoustic Sorting of 3D Multicellular Aggregates Using Drop Millifluidics.

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Summary

A new ImOCAS system automates the analysis of multicellular aggregates (MCAs) for disease research. This high-throughput method enables rapid screening and sorting of organoids and spheroids, accelerating drug discovery.

Keywords:
acousticsmicrofluidicsorganoidsscreeningsorting

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Cancer Research

Background:

  • Three-dimensional multicellular aggregates (MCAs) like organoids and spheroids are crucial for studying disease mechanisms and drug testing in cancer research.
  • Current manual analysis methods for MCAs are time-consuming, limiting their application in large-scale biological assays.

Purpose of the Study:

  • To introduce a novel drop millifluidic approach, ImOCAS (Image-based Organoid Cytometry and Acoustic Sorting), for high-throughput screening and sorting of MCAs.
  • To overcome the limitations of manual analysis and enable routine use of MCAs in large-scale biological assays.

Main Methods:

  • Real-time image processing to detect pheno-morphological traits of MCAs.
  • Encapsulation of MCAs in millimetric drops for on-demand actuation using acoustic radiation force.
  • Development of ImOCAS for automated screening and sorting of over one thousand MCAs.

Main Results:

  • Demonstrated successful sorting of spheroids with uniform sizes from heterogeneous populations.
  • Showcased isolation of organoids from spheroids based on differing phenotypes.
  • Validated the capability of ImOCAS for high-throughput analysis of MCAs.

Conclusions:

  • ImOCAS provides a groundbreaking platform for high-throughput screening and high-content analysis of MCAs.
  • This technology facilitates the analysis of MCAs with controlled morphological and phenotypical properties.
  • The ImOCAS system promises to accelerate progress in biomedical research, particularly in drug discovery and disease mechanism studies.