High-content imaging involves automated image acquisition and analysis of multiparametric data at a single-cell level allowing researchers to capture and analyze a wide range of cellular phenotypes simultaneously. By combining CRISPR-mediated gene perturbation with high-content imaging, researchers can systematically study the effects of gene knockout, inhibition, or activation on the expression and localization of various proteins, post-translational modifications, cell morphology, organelle dynamics, cell cycle progression, apoptosis, and more.

ScreeninC can provide access to high-content and live-cell imaging microscopy, including wide-field epifluorescence, spinning-disk and confocal imaging, and automated multipoint imaging.

By utilizing image analysis software, researchers can extract and quantify specific phenotypic parameters, such as cell size, shape, intensity and subcellular localization of fluorescent markers, and changes in cellular dynamics. This multiparametric and quantitative data provides a phenotypic profile of the cellular response to gene perturbation, which can be used to identify genes involved in processes that are deregulated in cancer or that affect the efficacy of an anti-cancer treatment, but which are too complex for a single-parameter, well-based readout.