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Fluorescence-Activated Cell Sorting for the Isolation of Scleractinian Cell Populations
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Clasificación inteligente de células activadas por imágenes

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
Resumen
Este resumen es generado por máquina.

Desarrollamos una clasificación celular inteligente activada por imágenes, una nueva tecnología de IA para el análisis celular rápido y en tiempo real. Este método clasifica las células en función de las características visuales, avanzando en la investigación biológica y médica.

Palabras clave:
heterogeneidad celularmorfología celularred neuronal convolucionalaprendizaje profundomicroscopía de alto rendimientocribado de alto rendimientoClasificación de las celdas activadas por imágenesinteligencia de las máquinas

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Área de la Ciencia:

  • Biología celular
  • Biotecnología
  • La bioinformática

Sus antecedentes:

  • Comprender la heterogeneidad celular es crucial pero limitado por las tecnologías actuales.
  • La vinculación de la composición celular, la estructura y la morfología con la fisiología sigue siendo un desafío.

Objetivo del estudio:

  • Introducir una nueva tecnología de inteligencia artificial para la clasificación celular en tiempo real basada en imágenes.
  • Para superar las limitaciones de los métodos convencionales de análisis celular.

Principales métodos:

  • Se ha desarrollado la clasificación inteligente de células activadas por imágenes (IIACS).
  • Microscopía integrada de alto rendimiento, enfoque y clasificación en una infraestructura híbrida.
  • Habilitado la adquisición automatizada de datos, el procesamiento, la toma de decisiones y la activación.

Principales resultados:

  • Se ha demostrado la clasificación en tiempo real de microalgas y células sanguíneas.
  • Células clasificadas basadas en la localización de proteínas intracelulares y las interacciones célula-célula.
  • Aplicado para el estudio de la fotosíntesis y la aterotrombosis en poblaciones heterogéneas.

Conclusiones:

  • IIACS ofrece una velocidad y versatilidad sin precedentes para la clasificación de células.
  • La tecnología permite el descubrimiento científico basado en máquinas en biología, productos farmacéuticos y medicina.