Highlights•Image-based profiling uses hundreds of measurements of cell morphology from
images.•Samples with similar phenotypes are grouped based on this unbiased, quantitative …

Highlights•This review re-explores the comparison between phenotypic and target-based
drug discovery and outlines how machine learning (ML) can assist the former at the forefront …

In morphological profiling, quantitative data are extracted from microscopy images of cells to
identify biologically relevant similarities and differences among samples based on these …

A central challenge of biology is to understand how individual cells process information and
respond to perturbations. Much of our knowledge is based on ensemble measurements …

Single-cell analysis is critical to revealing cell-to-cell heterogeneity that would otherwise be
lost in ensemble analysis. Detailed lipidome characterization for single cells is still far from …

In order to efficiently characterize both antiproliferative potency and mechanism of action of
small molecules targeting the cell cycle, we developed a high-throughput image-based …

The application of high-content imaging in conjunction with multivariate clustering
techniques has recently shown value in the confirmation of cellular activity and further …

Large-scale genetic perturbation screens are a classical approach in biology and have been
crucial for many discoveries. New technologies can now provide unbiased quantification of …

Phenotypic heterogeneity has been widely observed in cellular populations. However, the
extent to which heterogeneity contains biologically or clinically important information is not …

Heterogeneity is a fundamental property of biological systems at all scales that must be
addressed in a wide range of biomedical applications, including basic biomedical research …