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Intelligent image-activated cell sorting 2.0.

Akihiro Isozaki1, Hideharu Mikami, Hiroshi Tezuka

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Summary
This summary is machine-generated.

A new intelligent image-activated cell sorting (iIACS) machine offers 20x higher throughput and sensitivity. This advanced cell sorting technology utilizes virtual-freezing fluorescence imaging and real-time AI processing for broader biological applications.

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Area of Science:

  • Biotechnology
  • Microfluidics
  • Artificial Intelligence

Background:

  • Intelligent image-activated cell sorting (iIACS) integrates microscopy, cell sorting, and deep learning for high-throughput analysis.
  • Existing iIACS systems have limitations in throughput and sensitivity, restricting their application scope.

Purpose of the Study:

  • To develop and report on a novel iIACS machine with significantly enhanced system performance.
  • To expand the capabilities and applications of image-based cell sorting technology.

Main Methods:

  • Development of an iIACS machine integrating a high-throughput fluorescence microscope, cell focuser, cell sorter, and deep neural network.
  • Implementation of virtual-freezing fluorescence imaging and a real-time intelligent image processor on an 8-PC server with multi-core CPUs and GPUs.
  • Characterization using fluorescent particles and diverse cell types to validate performance.

Main Results:

  • Achieved a throughput of approximately 2000 events per second, a 20-fold improvement over previous reports.
  • Reached a sensitivity of approximately 50 molecules of equivalent soluble fluorophores (MESFs), also a 20-fold improvement.
  • System performance closely matched achievable design specifications.

Conclusions:

  • The new generation iIACS technology demonstrates substantial advancements in throughput and sensitivity.
  • This enhanced iIACS machine is poised to drive discoveries across immunology, microbiology, stem cell biology, cancer biology, pathology, and synthetic biology.