  Image-based or morphological profiling is a rapidly expanding field wherein
cells are "profiled" by extracting hundreds to thousands of unbiased,
quantitative features from images of cells that have been perturbed by genetic
or chemical perturbations. The Cell Painting assay is the most popular
imaged-based profiling assay wherein six small-molecule dyes label eight
cellular compartments and thousands of measurements are made, describing
quantitative traits such as size, shape, intensity, and texture within the
nucleus, cytoplasm, and whole cell (Cimini et al., 2023). We have created the
Cell Painting Gallery, a publicly available collection of Cell Painting
datasets, with granular dataset descriptions and access instructions. It is
hosted by AWS on the Registry of Open Data (RODA). As of January 2024, the Cell
Painting Gallery holds 656 terabytes (TB) of image and associated numerical
data. It includes the largest publicly available Cell Painting dataset, in
terms of perturbations tested (Joint Undertaking for Morphological Profiling or
JUMP (Chandrasekaran et al., 2023)), along with many other canonical datasets
using Cell Painting, close derivatives of Cell Painting (such as
LipocyteProfiler (Laber et al., 2023) and Pooled Cell Painting (Ramezani et
al., 2023)).
