Analyzing cell phenotypes

Abstract

In some examples, a method of processing includes using a machine learning encoder to extract respective sets of machine learning (ML)-based features from respective images of viable, unstained cells. Cells of a first subset of the cells have a first genetic edit, and cells of a second subset of the cells lack the first genetic edit. The method may include using a computer vision encoder to extract respective sets of cell morphometric features from the respective images. The method may include using the respective sets of ML-based features and the respective sets of cell morphometric features to generate respective multi-dimensional feature vectors that represent respective cell phenotypes. The method may include using the respective multi-dimensional feature vectors to correlate, to the first genetic edit, a phenotypic difference between the cells of the first subset and the cells of the second subset.

Dependencies are inferred from the claim text.