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An Automated Deep-learning Workflow for HCS

An Automated Deep-learning Workflow for HCS content piece image

Imaging-based phenotypic screening of cell-based disease models has become an indispensable tool for modern drug discovery. Despite the growing adoption of high-content screening (HCS), analyzing the complex imaging data produced by these systems is particularly time-consuming.

However, recent advances in deep learning have enabled the possibility of automating these analyses.

Download this poster to discover a workflow for successful automation of HCS, with details surrounding:

  • How to analyze multiple datasets with minimal tuning
  • The deep learning algorithms used
  • A case study using the automated workflow