Analysing large-scale microscopy datasets with AI-based approaches

Project: ResearchInterdisciplinary research, Internal collaboration (LU), National collaboration, International collaboration

Research areas and keywords

UKÄ subject classification

  • Basic Medicine
  • Bioinformatics (Computational Biology)
  • Mathematics

Keywords

  • Machine Learning, Deep Learning, Microscopy, Computer Vision

Description

In this project we are developing AI-based approaches for analysing large datasets with microscopy images generated by high-content imaging screens.
StatusActive
Effective start/end date2018/11/28 → …

Collaborative partners

  • Lund University (lead)
  • National Bioinformatics Infrastructure Sweden (NBIS), SciLifeLab, Lund, Sweden. (Project partner)
  • Science for Life Laboratory (SciLifeLab)

Participants

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Sonja Aits, Kaylene Simpson, Ricky Johnstone, Nikolay Oskolkov & Charlotte Stadler

2016/12/01 → …

Project: Research

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