title: CellProfiler Analyst: data exploration and analysis software for complex image-based screens.
abstract: BACKGROUND
  Image-based screens can produce hundreds of measured features for each of hundreds of millions of individual cells in a single experiment.
  
  
  RESULTS
  Here, we describe CellProfiler Analyst, open-source software for the interactive exploration and analysis of multidimensional data, particularly data from high-throughput, image-based experiments.
  
  
  CONCLUSIONS
  The system enables interactive data exploration for image-based screens and automated scoring of complex phenotypes that require combinations of multiple measured features per cell.
authors.affiliation: Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. thouis@broad.mit.edu
authors.forename: Thouis R
authors.initials: TR
authors.lastname: Jones
authors.forename: In Han
authors.initials: IH
authors.lastname: Kang
authors.forename: Douglas B
authors.initials: DB
authors.lastname: Wheeler
authors.forename: Robert A
authors.initials: RA
authors.lastname: Lindquist
authors.forename: Adam
authors.initials: A
authors.lastname: Papallo
authors.forename: David M
authors.initials: DM
authors.lastname: Sabatini
authors.forename: Polina
authors.initials: P
authors.lastname: Golland
authors.forename: Anne E
authors.initials: AE
authors.lastname: Carpenter
mesh_terms: D001185:Artificial Intelligence; D002477:Cells / Q000648:ultrastructure*; D019295:Computational Biology / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010641:Phenotype; D012984:Software