Neil Alvin B. Adia

The paper develops an image-based pipeline to analyze autophagy changes in ZIKV-infected cells and trains a deep learning classifier to identify infected cells using autophagy reporters.

This study develops an image-based profiling approach to characterize autophagy-related phenotypes with high temporal resolution and identifies key morphological features for drug response prediction.