Accurate Identification of Cancer Cells in Complex Pre-Clinical Models Using a Deep-Learning Neural Network: A Transfection-Free Approach (Adv. Biology 11/2024)

Abstract

Accurate Identification of Cancer Cells

Distinguishing the contribution of different cell types in co-cultures is a major challenge. Marilisa Cortesi, Caroline E. Ford, and co-workers have addressed it through a deep learning-based software tool that distinguishes healthy and cancer cells solely from the shape of the nucleus. This method opens to the possibility of using a wide variety of cell types, including patient-derived ones, in co-cultures. More details can be found in article number 2400034. Image created by Dr. Tim Salita.