school of computer science

computational biology


The CellOrganizer project provides tools for

  • learning generative models of cell organization directly from images
  • storing and retrieving those models
  • synthesizing cell images (or other representations) from one or more models

Model learning captures variation among cells in a collection of images. Images used for model learning and instances synthesized from models can be two- or three-dimensional static images or movies.