Abstract: The present disclosure provides a system and method for image analysis which utilize trained neural networks. The system and method are useful for generation and/or analysis of a variety of objects, such as biological cells to determine clonality.

Abstract: The present disclosure provides automated methods and systems for implementing an aging analysis pipeline involving the training and deployment of a predictive model for predicting cellular ages of cells. Such a predictive model distinguishes between morphological cellular phenotypes e.g., morphological cellular phenotypes elucidated using Cell Paint, exhibited by cells of different ages. The predictive model is further useful for developing new cellular aging assays that include biomarkers that heavily contribute towards predictions of the predictive model. Furthermore, the predictive model is useful for screening drug candidates for their ability to alter or suppress age related phenotypes.