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The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
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Fluorescence-Activated Cell Sorting for the Isolation of Scleractinian Cell Populations
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Intelligent Image-Activated Cell Sorting.

Nao Nitta1, Takeaki Sugimura1, Akihiro Isozaki2

  • 1Department of Chemistry, The University of Tokyo, Tokyo 113-0033, Japan; Japan Science and Technology Agency, Saitama 332-0012, Japan.

Cell
|September 1, 2018
PubMed
Summary
This summary is machine-generated.

We developed intelligent image-activated cell sorting, a new AI technology for rapid, real-time cell analysis. This method sorts cells based on visual characteristics, advancing biological and medical research.

Keywords:
cellular heterogeneitycellular morphologyconvolutional neural networkdeep learninghigh-throughput microscopyhigh-throughput screeningimage-activated cell sortingmachine intelligence

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Area of Science:

  • Cell biology
  • Biotechnology
  • Bioinformatics

Background:

  • Understanding cellular heterogeneity is crucial but limited by current technologies.
  • Linking cell composition, structure, and morphology to physiology remains a challenge.

Purpose of the Study:

  • To introduce a novel machine-intelligence technology for real-time, image-based cell sorting.
  • To overcome limitations of conventional cell analysis methods.

Main Methods:

  • Developed intelligent image-activated cell sorting (IIACS).
  • Integrated high-throughput microscopy, focusing, and sorting on a hybrid infrastructure.
  • Enabled automated data acquisition, processing, decision-making, and actuation.

Main Results:

  • Demonstrated real-time sorting of microalgal and blood cells.
  • Sorted cells based on intracellular protein localization and cell-cell interactions.
  • Applied to study photosynthesis and atherothrombosis in heterogeneous populations.

Conclusions:

  • IIACS offers unprecedented speed and versatility for cell sorting.
  • The technology enables machine-based scientific discovery in biology, pharmaceuticals, and medicine.