OrganEYEzer # High-throughput sorting of large and small organoids powered by deep learning for drug discovery, tissue engineering, and disease modeling

• Forschungsstelle: INNOSUISSE
• Projektnummer: 57515.1 IP-LS
• Projekttitel Englisch: OrganEYEzer # High-throughput sorting of large and small organoids powered by deep learning for drug discovery, tissue engineering, and disease modeling

Kurzbeschreibung (Deutsch)

OrganEYEzer # High-throughput sorting of large and small organoids powered by deep learning for drug discovery, tissue engineering, and disease modeling

Kurzbeschreibung (Englisch)

OrganEYEzer # High-throughput sorting of large and small organoids powered by deep learning for drug discovery, tissue engineering, and disease modeling

Abstract (Deutsch)

Organoids have been an area of increasing interest and relevance across a wide range of fields such as cancer research, drug discovery, and toxicology. With OrganEYEzer, IOB and CSEM propose an innovative solution combining microfluidic and deep learning to sort and classify organoids automatically.