Vebjorn Ljosa and Anne E. Carpenter:
“Introduction to the Quantitative Analysis of Two-Dimensional Fluorescence Microscopy Images for Cell-Based Screening,”
PLoS Computational Biology, 5(12):e10000603, 2009, doi:10.1371/journal.pcbi.1000603.
Modern automated microscopes collect digital images at an astonishing pace. Automated image analysis can measure biological phenotypes quantitatively and reliably, and has therefore become a powerful tool for probing a wide variety of biological questions using microscopy. In this tutorial, we acquaint biologists with this important computational field and introduce some basic principles of image analysis, using typical strategies for two-dimensional images of cultured cells in high-throughput screens as the primary example.