Quantifying Chemotherapeutic Cytotoxicity in Glial Cells using AI-Driven Label-Free Cell Analysis

The response of tumor cells, such as glioblastomas, to cytotoxic chemotherapeutic compounds is a complex and dynamic process that is crucial to understand in neuro-oncology research. Using pre-trained neural networks to accurately segment individual cells and classify them as live or dead is a powerful, robust approach for assessing cytotoxicity in glial cell types.