Human Induced Pluripotent Stem Cell Formation and Morphology Prediction during Reprogramming with Time-Lapse Bright-Field Microscopy Images Using Deep Learning Methods

Sets of time-lapse bright-field images were taken to track reprogramming process of CD34+ cells biologically identified as just beginning reprogramming. Prior the experiment, nine classes of templates with distinct cell features clipped from microscopy images at various reprogramming stages were used to train a CNN model.