CellProfiler Analyst: data exploration and analysis software for complex image-based screens

作者：Thouis R. Jones, In Han Kang, Douglas B. Wheeler, Robert A. Lindquist, Adam Papallo, David M. Sabatini, Polina Golland, Anne E. Carpenter · 发表于：BMC Bioinformatics · 年份：2008 · DOI：10.1186/1471-2105-9-482 · 被引用次数：577 · 研究领域：Cell Image Analysis Techniques、Single-cell and spatial transcriptomics、Advanced Fluorescence Microscopy Techniques

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. CONCLUSION: 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.