High-Content Analysis (HCA) merges the benefits of high-throughput automation and unbiased analysis with microscopic imaging. This powerful - and now highly accessible - technique allows researchers, whether in small academic or large commercial labs to collect and quantify reproducible multiparametric cellular data. HCA has expanded into all corners of life science since its traditional beginnings in drug discovery; HCA techniques are now used widely and in a diverse range of scientific research areas including oncology, neuroscience, infectious disease, developmental biology, and toxicology, to name just a few. HCA can be applied across multiple scales from quantification of subcellular protein distribution through to analyzing the organization of 3D organoids.
Download this poster from The Scientist and PerkinElmer to discover how the combination of high sample throughput with multiparametric image and multivariate data analysis enables the detection of even subtle phenotypic changes that isn’t possible with traditional laboratory techniques.