Leverage Machine Learning For Faster High Content Analysis

Traditional high content analysis relies heavily on manual identification of phenotypic subpopulations, a method that is tedious, sensitive to user bias, and often poor at differentiating subtle phenotypic differences. Hear how scientists from the University of Washington are using the Phenoglyphs™ machine learning module for IN Carta™ image analysis software to automate and simplify this complex process for faster high content analysis.