@article {572871,
	title = {Multidimensional drug profiling by automated microscopy.},
	journal = {Science},
	volume = {306},
	number = {5699},
	year = {2004},
	month = {2004 Nov 12},
	pages = {1194-8},
	abstract = {We present a method for high-throughput cytological profiling by microscopy. Our system provides quantitative multidimensional measures of individual cell states over wide ranges of perturbations. We profile dose-dependent phenotypic effects of drugs in human cell culture with a titration-invariant similarity score (TISS). This method successfully categorized blinded drugs and suggested targets for drugs of uncertain mechanism. Multivariate single-cell analysis is a starting point for identifying relationships among drug effects at a systems level and a step toward phenotypic profiling at the single-cell level. Our methods will be useful for discovering the mechanism and predicting the toxicity of new drugs.},
	keywords = {Automation, Cell Cycle, Cluster Analysis, DNA, Dose-Response Relationship, Drug, Drug Evaluation, Preclinical, Fluorescent Dyes, HeLa Cells, Humans, Image Processing, Computer-Assisted, Microscopy, Fluorescence, Pharmacology, Phenotype, Statistics as Topic, Toxicity Tests},
	issn = {1095-9203},
	doi = {10.1126/science.1100709},
	author = {Perlman, Zachary E and Slack, Michael D and Feng, Yan and Mitchison, Timothy J. and Wu, Lani F and Altschuler, Steven J}
}
