CellProfiler Analyst: data exploration and analysis software for complex image-based screens.
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.
Jones
Thouis R
TR
Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. thouis@broad.mit.edu
Kang
In Han
IH
Wheeler
Douglas B
DB
Lindquist
Robert A
RA
Papallo
Adam
A
Sabatini
David M
DM
Golland
Polina
P
Carpenter
Anne E
AE
D001185:Artificial Intelligence; D002477:Cells / Q000648:ultrastructure*; D019295:Computational Biology / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010641:Phenotype; D012984:Software