Distinguishing Cell Types by Phenotypic Profiling of the Nucleus

The promise of high-content screening is the acceleration of discovery by extracting as much relevant information as possible from cells. Nevertheless, a large percentage of high-content screens analyze only a small number of image-based properties.

As nearly all screening approaches require a nuclear counterstain to facilitate segmentation, phenotypic profiling of the nuclei can offer new and additional perspectives on assays at no extra cost.

This study shows how a single nuclear stain can enable phenotypic profiling and how phenotypic profiles can be used to distinguish up to seven different cell types, without further staining or phenotypic markers. Such methods could be applied to other fluorescent labels, opening up new horizons for unbiased drug discovery and disease research.

You will learn how to:
  • Distinguish cell types based exclusively on nuclear staining
  • Generate detailed phenotypic profiles using texture and advanced morphology parameters
  • Apply machine learning classification tools and visualization tools, such as Principle Component Analysis, to better understand multiparametric data sets

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Application Note

Case Study