Fig. 1: Workflow for the image analysis of single-gene mutant cells.
From: Machine learning approach for discrimination of genotypes based on bright-field cellular images
a HEK293Ta was used as parental cells (wild type), and single-gene knockout mutant cells were produced by CRISPR-Cas9 genome editing. b Cell imaging. Using an automated image acquisition system, the BF image and the fluorescent image (Hoechst33342) of over 670 cells were obtained for each mutant and the wild type. c Quantification of texture features for each single cell. Each single-cell region was identified based on the position of a nucleus, and texture features were quantified from the BF images.
