The CellCognition Project

The CellCognition framework is designed to combine object detection and supervised machine learning for classification of morphologies with time-resolved analysis by single-cell tracking. This enables measurements of progression through morphology stages and kinetic readouts at the single-cell level.

  • Held M, Schmitz MHA, Fischer B, Walter T, Neumann B, Olma MH, Peter M, Ellenberg J, and Gerlich DW. CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging. Nature Methods (2010) Sep;7(9):747-54.